Free UPSC Mathematics Optional Paper-1 2024 Solutions: View Online | UPSC Maths Solution | IAS Maths Solution

Question:-1(a)

Let H H HHH be a subspace of R 4 R 4 R^(4)\mathbb{R}^{4}R4 spanned by the vectors v 1 = ( 1 , 2 , 5 , 3 ) v 1 = ( 1 , 2 , 5 , 3 ) v_(1)=(1,-2,5,-3)v_{1}=(1,-2,5,-3)v1=(1,2,5,3), v 2 = ( 2 , 3 , 1 , 4 ) , v 3 = ( 3 , 8 , 3 , 5 ) v 2 = ( 2 , 3 , 1 , 4 ) , v 3 = ( 3 , 8 , 3 , 5 ) v_(2)=(2,3,1,-4),v_(3)=(3,8,-3,-5)v_{2}=(2,3,1,-4), v_{3}=(3,8,-3,-5)v2=(2,3,1,4),v3=(3,8,3,5). Then find a basis and dimension of H H HHH, and extend the basis of H H HHH to a basis of R 4 R 4 R^(4)\mathbb{R}^{4}R4.

Answer:

We are given a subspace H R 4 H R 4 H subeR^(4)H \subseteq \mathbb{R}^4HR4 spanned by:
v 1 = ( 1 , 2 , 5 , 3 ) , v 2 = ( 2 , 3 , 1 , 4 ) , v 3 = ( 3 , 8 , 3 , 5 ) v 1 = ( 1 , 2 , 5 , 3 ) , v 2 = ( 2 , 3 , 1 , 4 ) , v 3 = ( 3 , 8 , 3 , 5 ) v_(1)=(1,-2,5,-3),quadv_(2)=(2,3,1,-4),quadv_(3)=(3,8,-3,-5)v_1 = (1, -2, 5, -3),\quad v_2 = (2, 3, 1, -4),\quad v_3 = (3, 8, -3, -5)v1=(1,2,5,3),v2=(2,3,1,4),v3=(3,8,3,5)

Step 1: Find the Basis and Dimension of H H HHH

We check the linear independence of v 1 , v 2 , v 3 v 1 , v 2 , v 3 v_(1),v_(2),v_(3)v_1, v_2, v_3v1,v2,v3 by row reducing the matrix formed by these vectors as rows or columns. Let’s form a matrix with vectors as rows:
A = [ 1 2 5 3 2 3 1 4 3 8 3 5 ] A = 1 2 5 3 2 3 1 4 3 8 3 5 A=[[1,-2,5,-3],[2,3,1,-4],[3,8,-3,-5]]A = \begin{bmatrix} 1 & -2 & 5 & -3 \\ 2 & 3 & 1 & -4 \\ 3 & 8 & -3 & -5 \end{bmatrix}A=[125323143835]
Perform row reduction:
Step 1: Make the first pivot 1 (already done)
R 1 = ( 1 , 2 , 5 , 3 ) R 1 = ( 1 , 2 , 5 , 3 ) R_(1)=(1,-2,5,-3)R_1 = (1, -2, 5, -3)R1=(1,2,5,3)
Step 2: Eliminate below using R 1 R 1 R_(1)R_1R1
R 2 = R 2 2 R 1 = ( 2 , 3 , 1 , 4 ) 2 ( 1 , 2 , 5 , 3 ) = ( 0 , 7 , 9 , 2 ) R 2 = R 2 2 R 1 = ( 2 , 3 , 1 , 4 ) 2 ( 1 , 2 , 5 , 3 ) = ( 0 , 7 , 9 , 2 ) R_(2)=R_(2)-2R_(1)=(2,3,1,-4)-2(1,-2,5,-3)=(0,7,-9,2)R_2 = R_2 – 2R_1 = (2, 3, 1, -4) – 2(1, -2, 5, -3) = (0, 7, -9, 2)R2=R22R1=(2,3,1,4)2(1,2,5,3)=(0,7,9,2)
R 3 = R 3 3 R 1 = ( 3 , 8 , 3 , 5 ) 3 ( 1 , 2 , 5 , 3 ) = ( 0 , 14 , 18 , 4 ) R 3 = R 3 3 R 1 = ( 3 , 8 , 3 , 5 ) 3 ( 1 , 2 , 5 , 3 ) = ( 0 , 14 , 18 , 4 ) R_(3)=R_(3)-3R_(1)=(3,8,-3,-5)-3(1,-2,5,-3)=(0,14,-18,4)R_3 = R_3 – 3R_1 = (3, 8, -3, -5) – 3(1, -2, 5, -3) = (0, 14, -18, 4)R3=R33R1=(3,8,3,5)3(1,2,5,3)=(0,14,18,4)
Matrix becomes:
[ 1 2 5 3 0 7 9 2 0 14 18 4 ] 1 2 5 3 0 7 9 2 0 14 18 4 [[1,-2,5,-3],[0,7,-9,2],[0,14,-18,4]]\begin{bmatrix} 1 & -2 & 5 & -3 \\ 0 & 7 & -9 & 2 \\ 0 & 14 & -18 & 4 \end{bmatrix}[12530792014184]
Step 3: Eliminate below using R 2 R 2 R_(2)R_2R2
R 3 = R 3 2 R 2 = ( 0 , 14 , 18 , 4 ) 2 ( 0 , 7 , 9 , 2 ) = ( 0 , 0 , 0 , 0 ) R 3 = R 3 2 R 2 = ( 0 , 14 , 18 , 4 ) 2 ( 0 , 7 , 9 , 2 ) = ( 0 , 0 , 0 , 0 ) R_(3)=R_(3)-2R_(2)=(0,14,-18,4)-2(0,7,-9,2)=(0,0,0,0)R_3 = R_3 – 2R_2 = (0,14,-18,4) – 2(0,7,-9,2) = (0,0,0,0)R3=R32R2=(0,14,18,4)2(0,7,9,2)=(0,0,0,0)
Now the matrix is:
[ 1 2 5 3 0 7 9 2 0 0 0 0 ] 1 2 5 3 0 7 9 2 0 0 0 0 [[1,-2,5,-3],[0,7,-9,2],[0,0,0,0]]\begin{bmatrix} 1 & -2 & 5 & -3 \\ 0 & 7 & -9 & 2 \\ 0 & 0 & 0 & 0 \end{bmatrix}[125307920000]
This matrix has 2 non-zero rows, so the rank is 2.

Conclusion:

  • Dimension of H H HHH = 2
  • Basis of H H HHH = Any two linearly independent vectors. We can take:
    { v 1 = ( 1 , 2 , 5 , 3 ) , v 2 = ( 2 , 3 , 1 , 4 ) } v 1 = ( 1 , 2 , 5 , 3 ) , v 2 = ( 2 , 3 , 1 , 4 ) {v_(1)=(1,-2,5,-3),quadv_(2)=(2,3,1,-4)}\boxed{\left\{v_1 = (1,-2,5,-3),\quad v_2 = (2,3,1,-4)\right\}}{v1=(1,2,5,3),v2=(2,3,1,4)}

Step 2: Extend this Basis to a Basis for R 4 R 4 R^(4)\mathbb{R}^4R4

To extend this basis to R 4 R 4 R^(4)\mathbb{R}^4R4, two additional vectors are needed. The standard basis vectors e 1 = e 1 = e_(1)=e_1=e1= ( 1 , 0 , 0 , 0 ) ( 1 , 0 , 0 , 0 ) (1,0,0,0)(1,0,0,0)(1,0,0,0) and e 2 = ( 0 , 1 , 0 , 0 ) e 2 = ( 0 , 1 , 0 , 0 ) e_(2)=(0,1,0,0)e_2=(0,1,0,0)e2=(0,1,0,0) are checked for linear independence from the basis of H H HHH.
  • e 1 e 1 e_(1)e_1e1 is not in the span of v 1 v 1 v_(1)v_1v1 and v 2 v 2 v_(2)v_2v2 (since a v 1 + b v 2 = e 1 a v 1 + b v 2 = e 1 av_(1)+bv_(2)=e_(1)a v_1+b v_2=e_1av1+bv2=e1 leads to a contradiction).
  • The set { v 1 , v 2 , e 1 } v 1 , v 2 , e 1 {v_(1),v_(2),e_(1)}\left\{v_1, v_2, e_1\right\}{v1,v2,e1} is linearly independent.
  • e 2 e 2 e_(2)e_2e2 is not in the span of { v 1 , v 2 , e 1 } v 1 , v 2 , e 1 {v_(1),v_(2),e_(1)}\left\{v_1, v_2, e_1\right\}{v1,v2,e1} (since a v 1 + b v 2 + c e 1 = e 2 a v 1 + b v 2 + c e 1 = e 2 av_(1)+bv_(2)+ce_(1)=e_(2)a v_1+b v_2+c e_1=e_2av1+bv2+ce1=e2 leads to a contradiction).
  • The set { v 1 , v 2 , e 1 , e 2 } v 1 , v 2 , e 1 , e 2 {v_(1),v_(2),e_(1),e_(2)}\left\{v_1, v_2, e_1, e_2\right\}{v1,v2,e1,e2} is linearly independent.
Thus, a basis for R 4 R 4 R^(4)\mathbb{R}^4R4 is { ( 1 , 2 , 5 , 3 ) , ( 2 , 3 , 1 , 4 ) , ( 1 , 0 , 0 , 0 ) , ( 0 , 1 , 0 , 0 ) } { ( 1 , 2 , 5 , 3 ) , ( 2 , 3 , 1 , 4 ) , ( 1 , 0 , 0 , 0 ) , ( 0 , 1 , 0 , 0 ) } {(1,-2,5,-3),(2,3,1,-4),(1,0,0,0),(0,1,0,0)}\{(1,-2,5,-3),(2,3,1,-4),(1,0,0,0),(0,1,0,0)\}{(1,2,5,3),(2,3,1,4),(1,0,0,0),(0,1,0,0)}.
Basis of H : { ( 1 2 5 3 ) , ( 2 3 1 4 ) }  Basis of  H : 1 2 5 3 , 2 3 1 4 ” Basis of “H:{([1],[-2],[5],[-3]),([2],[3],[1],[-4])}\text { Basis of } H:\left\{\left(\begin{array}{c} 1 \\ -2 \\ 5 \\ -3 \end{array}\right),\left(\begin{array}{c} 2 \\ 3 \\ 1 \\ -4 \end{array}\right)\right\} Basis of H:{(1253),(2314)}
Dimension of H : 2 H : 2 H:2H: 2H:2
Extended basis of R 4 : { ( 1 2 5 3 ) , ( 2 3 1 4 ) , ( 1 0 0 0 ) , ( 0 1 0 0 ) } R 4 : 1 2 5 3 , 2 3 1 4 , 1 0 0 0 , 0 1 0 0 R^(4):{([1],[-2],[5],[-3]),([2],[3],[1],[-4]),([1],[0],[0],[0]),([0],[1],[0],[0])}\mathbb{R}^4:\left\{\left(\begin{array}{c}1 \\ -2 \\ 5 \\ -3\end{array}\right),\left(\begin{array}{c}2 \\ 3 \\ 1 \\ -4\end{array}\right),\left(\begin{array}{l}1 \\ 0 \\ 0 \\ 0\end{array}\right),\left(\begin{array}{l}0 \\ 1 \\ 0 \\ 0\end{array}\right)\right\}R4:{(1253),(2314),(1000),(0100)}

Question:-1(b)

Let T : R 3 R 3 T : R 3 R 3 T:R^(3)rarrR^(3)T: \mathbb{R}^{3} \rightarrow \mathbb{R}^{3}T:R3R3 be a linear operator and B = { v 1 , v 2 , v 3 } B = v 1 , v 2 , v 3 B={v_(1),v_(2),v_(3)}B=\left\{v_{1}, v_{2}, v_{3}\right\}B={v1,v2,v3} be a basis of R 3 R 3 R^(3)\mathbb{R}^{3}R3 over R R R\mathbb{R}R. Suppose that T v 1 = ( 1 , 1 , 0 ) , T v 2 = ( 1 , 0 , 1 ) , T v 3 = ( 2 , 1 , 1 ) T v 1 = ( 1 , 1 , 0 ) , T v 2 = ( 1 , 0 , 1 ) , T v 3 = ( 2 , 1 , 1 ) Tv_(1)=(1,1,0),Tv_(2)=(1,0,-1),Tv_(3)=(2,1,-1)T v_{1}=(1,1,0),\; T v_{2}=(1,0,-1),\; T v_{3}=(2,1,-1)Tv1=(1,1,0),Tv2=(1,0,1),Tv3=(2,1,1). Find a basis for the range space and null space of T T TTT.

Answer:

To find a basis for the range space and null space of the linear operator T : R 3 R 3 T : R 3 R 3 T:R^(3)rarrR^(3)T: \mathbb{R}^3 \to \mathbb{R}^3T:R3R3, given the action of T T TTT on the basis B = { v 1 , v 2 , v 3 } B = { v 1 , v 2 , v 3 } B={v_(1),v_(2),v_(3)}B = \{ v_1, v_2, v_3 \}B={v1,v2,v3} of R 3 R 3 R^(3)\mathbb{R}^3R3, where:
T v 1 = ( 1 , 1 , 0 ) , T v 2 = ( 1 , 0 , 1 ) , T v 3 = ( 2 , 1 , 1 ) , T v 1 = ( 1 , 1 , 0 ) , T v 2 = ( 1 , 0 , 1 ) , T v 3 = ( 2 , 1 , 1 ) , Tv_(1)=(1,1,0),quad Tv_(2)=(1,0,-1),quad Tv_(3)=(2,1,-1),T v_1 = (1, 1, 0), \quad T v_2 = (1, 0, -1), \quad T v_3 = (2, 1, -1),Tv1=(1,1,0),Tv2=(1,0,1),Tv3=(2,1,1),
we proceed as follows.

Step 1: Find the Matrix Representation of T T TTT

Since B = { v 1 , v 2 , v 3 } B = { v 1 , v 2 , v 3 } B={v_(1),v_(2),v_(3)}B = \{ v_1, v_2, v_3 \}B={v1,v2,v3} is a basis for R 3 R 3 R^(3)\mathbb{R}^3R3, and the vectors T v 1 , T v 2 , T v 3 T v 1 , T v 2 , T v 3 Tv_(1),Tv_(2),Tv_(3)T v_1, T v_2, T v_3Tv1,Tv2,Tv3 are given in standard coordinates, we assume the outputs are expressed in the standard basis { e 1 , e 2 , e 3 } { e 1 , e 2 , e 3 } {e_(1),e_(2),e_(3)}\{ e_1, e_2, e_3 \}{e1,e2,e3}, where e 1 = ( 1 , 0 , 0 ) e 1 = ( 1 , 0 , 0 ) e_(1)=(1,0,0)e_1 = (1, 0, 0)e1=(1,0,0), e 2 = ( 0 , 1 , 0 ) e 2 = ( 0 , 1 , 0 ) e_(2)=(0,1,0)e_2 = (0, 1, 0)e2=(0,1,0), e 3 = ( 0 , 0 , 1 ) e 3 = ( 0 , 0 , 1 ) e_(3)=(0,0,1)e_3 = (0, 0, 1)e3=(0,0,1). The matrix of T T TTT with respect to the basis B B BBB (for the domain) and the standard basis (for the codomain) is formed by taking the coordinates of T v i T v i Tv_(i)T v_iTvi:
  • T v 1 = ( 1 , 1 , 0 ) T v 1 = ( 1 , 1 , 0 ) Tv_(1)=(1,1,0)T v_1 = (1, 1, 0)Tv1=(1,1,0)
  • T v 2 = ( 1 , 0 , 1 ) T v 2 = ( 1 , 0 , 1 ) Tv_(2)=(1,0,-1)T v_2 = (1, 0, -1)Tv2=(1,0,1)
  • T v 3 = ( 2 , 1 , 1 ) T v 3 = ( 2 , 1 , 1 ) Tv_(3)=(2,1,-1)T v_3 = (2, 1, -1)Tv3=(2,1,1)
The matrix A A AAA of T T TTT has columns given by T v 1 , T v 2 , T v 3 T v 1 , T v 2 , T v 3 Tv_(1),Tv_(2),Tv_(3)T v_1, T v_2, T v_3Tv1,Tv2,Tv3:
A = [ 1 1 2 1 0 1 0 1 1 ] A = 1 1 2 1 0 1 0 1 1 A=[[1,1,2],[1,0,1],[0,-1,-1]]A = \begin{bmatrix} 1 & 1 & 2 \\ 1 & 0 & 1 \\ 0 & -1 & -1 \end{bmatrix}A=[112101011]

Step 2: Basis for the Range Space

The range space of T T TTT, denoted Range ( T ) Range ( T ) “Range”(T)\text{Range}(T)Range(T), is the span of the images of the basis vectors, i.e., span { T v 1 , T v 2 , T v 3 } span { T v 1 , T v 2 , T v 3 } “span”{Tv_(1),Tv_(2),Tv_(3)}\text{span}\{ T v_1, T v_2, T v_3 \}span{Tv1,Tv2,Tv3}, which corresponds to the column space of A A AAA. We need a basis for the column space, so we check if the columns are linearly independent by row reducing A A AAA.
Row Reduction of A A AAA:
A = [ 1 1 2 1 0 1 0 1 1 ] A = 1 1 2 1 0 1 0 1 1 A=[[1,1,2],[1,0,1],[0,-1,-1]]A = \begin{bmatrix} 1 & 1 & 2 \\ 1 & 0 & 1 \\ 0 & -1 & -1 \end{bmatrix}A=[112101011]
  • R2 = R2 – R1:
[ 1 1 2 0 1 1 0 1 1 ] 1 1 2 0 1 1 0 1 1 [[1,1,2],[0,-1,-1],[0,-1,-1]]\begin{bmatrix} 1 & 1 & 2 \\ 0 & -1 & -1 \\ 0 & -1 & -1 \end{bmatrix}[112011011]
  • R3 = R3 – R2 (not necessary, as R3 = R2), set R3 = 0:
[ 1 1 2 0 1 1 0 0 0 ] 1 1 2 0 1 1 0 0 0 [[1,1,2],[0,-1,-1],[0,0,0]]\begin{bmatrix} 1 & 1 & 2 \\ 0 & -1 & -1 \\ 0 & 0 & 0 \end{bmatrix}[112011000]
  • R2 = -R2:
[ 1 1 2 0 1 1 0 0 0 ] 1 1 2 0 1 1 0 0 0 [[1,1,2],[0,1,1],[0,0,0]]\begin{bmatrix} 1 & 1 & 2 \\ 0 & 1 & 1 \\ 0 & 0 & 0 \end{bmatrix}[112011000]
  • R1 = R1 – R2:
[ 1 0 1 0 1 1 0 0 0 ] 1 0 1 0 1 1 0 0 0 [[1,0,1],[0,1,1],[0,0,0]]\begin{bmatrix} 1 & 0 & 1 \\ 0 & 1 & 1 \\ 0 & 0 & 0 \end{bmatrix}[101011000]
The row-reduced echelon form shows two pivot columns (columns 1 and 2), indicating that the first two columns of A A AAA are linearly independent, and the third column is a linear combination of the first two. Check the dependency:
  • Column 3: ( 2 , 1 , 1 ) ( 2 , 1 , 1 ) (2,1,-1)(2, 1, -1)(2,1,1)
  • Columns 1 and 2: ( 1 , 1 , 0 ) ( 1 , 1 , 0 ) (1,1,0)(1, 1, 0)(1,1,0), ( 1 , 0 , 1 ) ( 1 , 0 , 1 ) (1,0,-1)(1, 0, -1)(1,0,1)
Solve a ( 1 , 1 , 0 ) + b ( 1 , 0 , 1 ) = ( 2 , 1 , 1 ) a ( 1 , 1 , 0 ) + b ( 1 , 0 , 1 ) = ( 2 , 1 , 1 ) a(1,1,0)+b(1,0,-1)=(2,1,-1)a (1, 1, 0) + b (1, 0, -1) = (2, 1, -1)a(1,1,0)+b(1,0,1)=(2,1,1):
{ a + b = 2 a = 1 b = 1 a + b = 2 a = 1 b = 1 {[a+b=2],[a=1],[-b=-1]:}\begin{cases} a + b = 2 \\ a = 1 \\ -b = -1 \end{cases}{a+b=2a=1b=1
From the third equation, b = 1 b = 1 b=1b = 1b=1. From the second, a = 1 a = 1 a=1a = 1a=1. Check the first: 1 + 1 = 2 1 + 1 = 2 1+1=21 + 1 = 21+1=2, which holds. Thus:
( 2 , 1 , 1 ) = ( 1 , 1 , 0 ) + ( 1 , 0 , 1 ) ( 2 , 1 , 1 ) = ( 1 , 1 , 0 ) + ( 1 , 0 , 1 ) (2,1,-1)=(1,1,0)+(1,0,-1)(2, 1, -1) = (1, 1, 0) + (1, 0, -1)(2,1,1)=(1,1,0)+(1,0,1)
So, Range ( T ) = span { ( 1 , 1 , 0 ) , ( 1 , 0 , 1 ) } Range ( T ) = span { ( 1 , 1 , 0 ) , ( 1 , 0 , 1 ) } “Range”(T)=”span”{(1,1,0),(1,0,-1)}\text{Range}(T) = \text{span}\{ (1, 1, 0), (1, 0, -1) \}Range(T)=span{(1,1,0),(1,0,1)}, and since the first two columns are independent (as confirmed by the pivots), { ( 1 , 1 , 0 ) , ( 1 , 0 , 1 ) } { ( 1 , 1 , 0 ) , ( 1 , 0 , 1 ) } {(1,1,0),(1,0,-1)}\{ (1, 1, 0), (1, 0, -1) \}{(1,1,0),(1,0,1)} is a basis for the range space.
Dimension Check: The rank of A A AAA is 2 (two pivots), so dim ( Range ( T ) ) = 2 dim ( Range ( T ) ) = 2 dim(“Range”(T))=2\dim(\text{Range}(T)) = 2dim(Range(T))=2.

Step 3: Basis for the Null Space

The null space of T T TTT, denoted Null ( T ) Null ( T ) “Null”(T)\text{Null}(T)Null(T), consists of vectors x = ( x 1 , x 2 , x 3 ) x = ( x 1 , x 2 , x 3 ) x=(x_(1),x_(2),x_(3))\mathbf{x} = (x_1, x_2, x_3)x=(x1,x2,x3) in the basis B B BBB, such that T ( x ) = 0 T ( x ) = 0 T(x)=0T(\mathbf{x}) = 0T(x)=0. Express x = x 1 v 1 + x 2 v 2 + x 3 v 3 x = x 1 v 1 + x 2 v 2 + x 3 v 3 x=x_(1)v_(1)+x_(2)v_(2)+x_(3)v_(3)\mathbf{x} = x_1 v_1 + x_2 v_2 + x_3 v_3x=x1v1+x2v2+x3v3, so:
T ( x ) = x 1 T v 1 + x 2 T v 2 + x 3 T v 3 = x 1 ( 1 , 1 , 0 ) + x 2 ( 1 , 0 , 1 ) + x 3 ( 2 , 1 , 1 ) = 0 T ( x ) = x 1 T v 1 + x 2 T v 2 + x 3 T v 3 = x 1 ( 1 , 1 , 0 ) + x 2 ( 1 , 0 , 1 ) + x 3 ( 2 , 1 , 1 ) = 0 T(x)=x_(1)Tv_(1)+x_(2)Tv_(2)+x_(3)Tv_(3)=x_(1)(1,1,0)+x_(2)(1,0,-1)+x_(3)(2,1,-1)=0T(\mathbf{x}) = x_1 T v_1 + x_2 T v_2 + x_3 T v_3 = x_1 (1, 1, 0) + x_2 (1, 0, -1) + x_3 (2, 1, -1) = 0T(x)=x1Tv1+x2Tv2+x3Tv3=x1(1,1,0)+x2(1,0,1)+x3(2,1,1)=0
Compute:
( x 1 + x 2 + 2 x 3 , x 1 + x 3 , x 2 x 3 ) = ( 0 , 0 , 0 ) ( x 1 + x 2 + 2 x 3 , x 1 + x 3 , x 2 x 3 ) = ( 0 , 0 , 0 ) (x_(1)+x_(2)+2x_(3),x_(1)+x_(3),-x_(2)-x_(3))=(0,0,0)(x_1 + x_2 + 2 x_3, x_1 + x_3, -x_2 – x_3) = (0, 0, 0)(x1+x2+2x3,x1+x3,x2x3)=(0,0,0)
This gives the system:
{ x 1 + x 2 + 2 x 3 = 0 x 1 + x 3 = 0 x 2 x 3 = 0 x 1 + x 2 + 2 x 3 = 0 x 1 + x 3 = 0 x 2 x 3 = 0 {[x_(1)+x_(2)+2x_(3)=0],[x_(1)+x_(3)=0],[-x_(2)-x_(3)=0]:}\begin{cases} x_1 + x_2 + 2 x_3 = 0 \\ x_1 + x_3 = 0 \\ -x_2 – x_3 = 0 \end{cases}{x1+x2+2x3=0x1+x3=0x2x3=0
Solve:
  • From the third equation: x 2 = x 3 x 2 = x 3 x_(2)=-x_(3)x_2 = -x_3x2=x3.
  • From the second: x 1 = x 3 x 1 = x 3 x_(1)=-x_(3)x_1 = -x_3x1=x3.
  • Substitute into the first: ( x 3 ) + ( x 3 ) + 2 x 3 = x 3 x 3 + 2 x 3 = 0 ( x 3 ) + ( x 3 ) + 2 x 3 = x 3 x 3 + 2 x 3 = 0 (-x_(3))+(-x_(3))+2x_(3)=-x_(3)-x_(3)+2x_(3)=0(-x_3) + (-x_3) + 2 x_3 = -x_3 – x_3 + 2 x_3 = 0(x3)+(x3)+2x3=x3x3+2x3=0, which is satisfied.
Let x 3 = t x 3 = t x_(3)=tx_3 = tx3=t, then x 1 = t x 1 = t x_(1)=-tx_1 = -tx1=t, x 2 = t x 2 = t x_(2)=-tx_2 = -tx2=t. The solution is:
x = ( t , t , t ) = t ( 1 , 1 , 1 ) x = ( t , t , t ) = t ( 1 , 1 , 1 ) x=(-t,-t,t)=t(-1,-1,1)\mathbf{x} = (-t, -t, t) = t (-1, -1, 1)x=(t,t,t)=t(1,1,1)
Thus, the null space is spanned by ( 1 , 1 , 1 ) ( 1 , 1 , 1 ) (-1,-1,1)(-1, -1, 1)(1,1,1) (in coordinates relative to basis B B BBB). To confirm, check if the vector is non-zero and satisfies the equation. Test ( 1 , 1 , 1 ) ( 1 , 1 , 1 ) (-1,-1,1)(-1, -1, 1)(1,1,1):
T ( v 1 v 2 + v 3 ) = T v 1 T v 2 + T v 3 = ( 1 , 1 , 0 ) ( 1 , 0 , 1 ) + ( 2 , 1 , 1 ) = ( 1 1 + 2 , 1 0 + 1 , 0 + 1 1 ) = ( 0 , 0 , 0 ) T ( v 1 v 2 + v 3 ) = T v 1 T v 2 + T v 3 = ( 1 , 1 , 0 ) ( 1 , 0 , 1 ) + ( 2 , 1 , 1 ) = ( 1 1 + 2 , 1 0 + 1 , 0 + 1 1 ) = ( 0 , 0 , 0 ) T(-v_(1)-v_(2)+v_(3))=-Tv_(1)-Tv_(2)+Tv_(3)=-(1,1,0)-(1,0,-1)+(2,1,-1)=(-1-1+2,-1-0+1,0+1-1)=(0,0,0)T(-v_1 – v_2 + v_3) = -T v_1 – T v_2 + T v_3 = -(1, 1, 0) – (1, 0, -1) + (2, 1, -1) = (-1 – 1 + 2, -1 – 0 + 1, 0 + 1 – 1) = (0, 0, 0)T(v1v2+v3)=Tv1Tv2+Tv3=(1,1,0)(1,0,1)+(2,1,1)=(11+2,10+1,0+11)=(0,0,0)
This confirms the vector is in the null space. Since dim ( Null ( T ) ) = 3 rank ( A ) = 3 2 = 1 dim ( Null ( T ) ) = 3 rank ( A ) = 3 2 = 1 dim(“Null”(T))=3-“rank”(A)=3-2=1\dim(\text{Null}(T)) = 3 – \text{rank}(A) = 3 – 2 = 1dim(Null(T))=3rank(A)=32=1, the vector ( 1 , 1 , 1 ) ( 1 , 1 , 1 ) (-1,-1,1)(-1, -1, 1)(1,1,1) forms a basis for the null space (in coordinates relative to B B BBB).

Step 4: Express Null Space Basis in Standard Coordinates (if needed)

The null space basis is given in coordinates ( x 1 , x 2 , x 3 ) ( x 1 , x 2 , x 3 ) (x_(1),x_(2),x_(3))(x_1, x_2, x_3)(x1,x2,x3) relative to B B BBB, meaning the vector is v 1 v 2 + v 3 v 1 v 2 + v 3 -v_(1)-v_(2)+v_(3)-v_1 – v_2 + v_3v1v2+v3. If the basis vectors v 1 , v 2 , v 3 v 1 , v 2 , v 3 v_(1),v_(2),v_(3)v_1, v_2, v_3v1,v2,v3 were given in standard coordinates, we would express v 1 v 2 + v 3 v 1 v 2 + v 3 -v_(1)-v_(2)+v_(3)-v_1 – v_2 + v_3v1v2+v3 accordingly, but since B B BBB is an arbitrary basis, we keep the null space basis as { v 1 v 2 + v 3 } { v 1 v 2 + v 3 } {-v_(1)-v_(2)+v_(3)}\{ -v_1 – v_2 + v_3 \}{v1v2+v3}.

Final Answer

  • Basis for the range space: { ( 1 , 1 , 0 ) , ( 1 , 0 , 1 ) } { ( 1 , 1 , 0 ) , ( 1 , 0 , 1 ) } {(1,1,0),(1,0,-1)}\{ (1, 1, 0), (1, 0, -1) \}{(1,1,0),(1,0,1)}
  • Basis for the null space: { v 1 v 2 + v 3 } { v 1 v 2 + v 3 } {-v_(1)-v_(2)+v_(3)}\{ -v_1 – v_2 + v_3 \}{v1v2+v3}
Range space basis: { ( 1 , 1 , 0 ) , ( 1 , 0 , 1 ) } , Null space basis: { v 1 v 2 + v 3 } Range space basis:  { ( 1 , 1 , 0 ) , ( 1 , 0 , 1 ) } , Null space basis:  { v 1 v 2 + v 3 } “Range space basis: “{(1,1,0),(1,0,-1)},quad”Null space basis: “{-v_(1)-v_(2)+v_(3)}\boxed{\text{Range space basis: } \{ (1, 1, 0), (1, 0, -1) \}, \quad \text{Null space basis: } \{ -v_1 – v_2 + v_3 \}}Range space basis: {(1,1,0),(1,0,1)},Null space basis: {v1v2+v3}

Question:-1(c)

Discuss the continuity of the function

f ( x ) = { 1 1 e 1 / x , x 0 0 , x = 0 f ( x ) = 1 1 e 1 / x ,      x 0 0 ,      x = 0 f(x)={[(1)/(1-e^(-1//x))”,”,x!=0],[0″,”,x=0]:}f(x)=\begin{cases} \dfrac{1}{1-e^{-1/x}}, & x \neq 0 \\[6pt] 0, & x = 0 \end{cases}f(x)={11e1/x,x00,x=0
for all values of x x xxx.

Answer:

To determine the continuity of the function
f ( x ) = { 1 1 e 1 / x , x 0 0 , x = 0 f ( x ) = 1 1 e 1 / x ,      x 0 0 ,      x = 0 f(x)={[(1)/(1-e^(-1//x))”,”,x!=0],[0″,”,x=0]:}f(x)=\begin{cases} \dfrac{1}{1-e^{-1/x}}, & x \neq 0 \\[6pt] 0, & x = 0 \end{cases}f(x)={11e1/x,x00,x=0
for all values of x x xxx, we analyze its behavior at different points, particularly focusing on x = 0 x = 0 x=0x = 0x=0.

1. Continuity for x 0 x 0 x!=0x \neq 0x0:

For x 0 x 0 x!=0x \neq 0x0, the function f ( x ) = 1 1 e 1 / x f ( x ) = 1 1 e 1 / x f(x)=(1)/(1-e^(-1//x))f(x) = \dfrac{1}{1 – e^{-1/x}}f(x)=11e1/x is a composition of continuous functions:
  • e 1 / x e 1 / x e^(-1//x)e^{-1/x}e1/x is continuous for all x 0 x 0 x!=0x \neq 0x0.
  • The denominator 1 e 1 / x 1 e 1 / x 1-e^(-1//x)1 – e^{-1/x}1e1/x is continuous and non-zero for x 0 x 0 x!=0x \neq 0x0, since e 1 / x 1 e 1 / x 1 e^(-1//x)!=1e^{-1/x} \neq 1e1/x1 when x 0 x 0 x!=0x \neq 0x0.
Thus, f ( x ) f ( x ) f(x)f(x)f(x) is continuous for all x 0 x 0 x!=0x \neq 0x0.

2. Continuity at x = 0 x = 0 x=0x = 0x=0:

To check continuity at x = 0 x = 0 x=0x = 0x=0, we need to verify:
lim x 0 f ( x ) = f ( 0 ) = 0. lim x 0 f ( x ) = f ( 0 ) = 0. lim_(x rarr0)f(x)=f(0)=0.\lim_{x \to 0} f(x) = f(0) = 0.limx0f(x)=f(0)=0.

Case 1: x 0 + x 0 + x rarr0^(+)x \to 0^+x0+ (Right-Hand Limit)

  • As x 0 + x 0 + x rarr0^(+)x \to 0^+x0+, 1 x + 1 x + (1)/(x)rarr+oo\frac{1}{x} \to +\infty1x+, so e 1 / x 0 e 1 / x 0 e^(-1//x)rarr0e^{-1/x} \to 0e1/x0.
  • Thus: lim x 0 + f ( x ) = lim x 0 + 1 1 e 1 / x = 1 1 0 = 1. lim x 0 + f ( x ) = lim x 0 + 1 1 e 1 / x = 1 1 0 = 1. lim_(x rarr0^(+))f(x)=lim_(x rarr0^(+))(1)/(1-e^(-1//x))=(1)/(1-0)=1.\lim_{x \to 0^+} f(x) = \lim_{x \to 0^+} \frac{1}{1 – e^{-1/x}} = \frac{1}{1 – 0} = 1.limx0+f(x)=limx0+11e1/x=110=1.

Case 2: x 0 x 0 x rarr0^(-)x \to 0^-x0 (Left-Hand Limit)

  • As x 0 x 0 x rarr0^(-)x \to 0^-x0, 1 x 1 x (1)/(x)rarr-oo\frac{1}{x} \to -\infty1x, so e 1 / x + e 1 / x + e^(-1//x)rarr+ooe^{-1/x} \to +\inftye1/x+.
  • Thus: lim x 0 f ( x ) = lim x 0 1 1 e 1 / x = 1 1 = 0. lim x 0 f ( x ) = lim x 0 1 1 e 1 / x = 1 1 = 0. lim_(x rarr0^(-))f(x)=lim_(x rarr0^(-))(1)/(1-e^(-1//x))=(1)/(1-oo)=0.\lim_{x \to 0^-} f(x) = \lim_{x \to 0^-} \frac{1}{1 – e^{-1/x}} = \frac{1}{1 – \infty} = 0.limx0f(x)=limx011e1/x=11=0.

Conclusion at x = 0 x = 0 x=0x = 0x=0:

Since the left-hand limit ( 0 0 000) and the right-hand limit ( 1 1 111) are not equal, the limit lim x 0 f ( x ) lim x 0 f ( x ) lim_(x rarr0)f(x)\lim_{x \to 0} f(x)limx0f(x) does not exist. Therefore, f ( x ) f ( x ) f(x)f(x)f(x) is not continuous at x = 0 x = 0 x=0x = 0x=0.

3. Summary of Continuity:

  • Continuous for all x 0 x 0 x!=0x \neq 0x0.
  • Discontinuous at x = 0 x = 0 x=0x = 0x=0 because the limit does not exist (left and right limits disagree).

Final Answer:

{ Continuous for all x 0 , Discontinuous at x = 0 (limit does not exist). Continuous for all  x 0 , Discontinuous at  x = 0  (limit does not exist). {[“Continuous for all “x!=0″,”],[“Discontinuous at “x=0″ (limit does not exist).”]:}\boxed{ \begin{cases} \text{Continuous for all } x \neq 0, \\ \text{Discontinuous at } x = 0 \text{ (limit does not exist).} \end{cases} }{Continuous for all x0,Discontinuous at x=0 (limit does not exist).

Question:-1(d)

Expand ln ( x ) ln ( x ) ln(x)\ln(x)ln(x) in powers of ( x 1 ) ( x 1 ) (x-1)(x-1)(x1) by Taylor’s theorem and hence find the value of ln ( 1 1 ) ln ( 1 1 ) ln(1*1)\ln (1 \cdot 1)ln(11) correct up to four decimal places.

Answer:

To solve the problem of expanding ln ( x ) ln ( x ) ln(x)\ln(x)ln(x) in powers of ( x 1 ) ( x 1 ) (x-1)(x-1)(x1) using Taylor’s theorem and finding the value of ln ( 1.1 ) ln ( 1.1 ) ln(1.1)\ln(1.1)ln(1.1) correct to four decimal places, we proceed step by step.

Step 1: Understand Taylor’s Theorem

Taylor’s theorem allows us to expand a function f ( x ) f ( x ) f(x)f(x)f(x) around a point a a aaa as an infinite series:
f ( x ) = f ( a ) + f ( a ) ( x a ) + f ( a ) 2 ! ( x a ) 2 + f ( a ) 3 ! ( x a ) 3 + f ( x ) = f ( a ) + f ( a ) ( x a ) + f ( a ) 2 ! ( x a ) 2 + f ( a ) 3 ! ( x a ) 3 + f(x)=f(a)+f^(‘)(a)(x-a)+(f^(″)(a))/(2!)(x-a)^(2)+(f^(‴)(a))/(3!)(x-a)^(3)+cdotsf(x) = f(a) + f'(a)(x-a) + \frac{f”(a)}{2!}(x-a)^2 + \frac{f”'(a)}{3!}(x-a)^3 + \cdotsf(x)=f(a)+f(a)(xa)+f(a)2!(xa)2+f(a)3!(xa)3+
Here, we need to expand ln ( x ) ln ( x ) ln(x)\ln(x)ln(x) around x = 1 x = 1 x=1x = 1x=1, so a = 1 a = 1 a=1a = 1a=1, and the series will be in powers of ( x 1 ) ( x 1 ) (x-1)(x-1)(x1).

Step 2: Compute the Function and Its Derivatives at x = 1 x = 1 x=1x = 1x=1

Let’s compute the value of ln ( x ) ln ( x ) ln(x)\ln(x)ln(x) and its derivatives at x = 1 x = 1 x=1x = 1x=1.
  • Function value:
    f ( x ) = ln ( x ) , f ( 1 ) = ln ( 1 ) = 0 f ( x ) = ln ( x ) , f ( 1 ) = ln ( 1 ) = 0 f(x)=ln(x),quad f(1)=ln(1)=0f(x) = \ln(x), \quad f(1) = \ln(1) = 0f(x)=ln(x),f(1)=ln(1)=0
  • First derivative:
    f ( x ) = d d x ln ( x ) = 1 x , f ( 1 ) = 1 1 = 1 f ( x ) = d d x ln ( x ) = 1 x , f ( 1 ) = 1 1 = 1 f^(‘)(x)=(d)/(dx)ln(x)=(1)/(x),quadf^(‘)(1)=(1)/(1)=1f'(x) = \frac{d}{dx} \ln(x) = \frac{1}{x}, \quad f'(1) = \frac{1}{1} = 1f(x)=ddxln(x)=1x,f(1)=11=1
  • Second derivative:
    f ( x ) = d d x ( 1 x ) = 1 x 2 , f ( 1 ) = 1 1 2 = 1 f ( x ) = d d x 1 x = 1 x 2 , f ( 1 ) = 1 1 2 = 1 f^(″)(x)=(d)/(dx)((1)/(x))=-(1)/(x^(2)),quadf^(″)(1)=-(1)/(1^(2))=-1f”(x) = \frac{d}{dx} \left( \frac{1}{x} \right) = -\frac{1}{x^2}, \quad f”(1) = -\frac{1}{1^2} = -1f(x)=ddx(1x)=1x2,f(1)=112=1
  • Third derivative:
    f ( x ) = d d x ( 1 x 2 ) = 2 x 3 , f ( 1 ) = 2 1 3 = 2 f ( x ) = d d x 1 x 2 = 2 x 3 , f ( 1 ) = 2 1 3 = 2 f^(‴)(x)=(d)/(dx)(-(1)/(x^(2)))=(2)/(x^(3)),quadf^(‴)(1)=(2)/(1^(3))=2f”'(x) = \frac{d}{dx} \left( -\frac{1}{x^2} \right) = \frac{2}{x^3}, \quad f”'(1) = \frac{2}{1^3} = 2f(x)=ddx(1x2)=2x3,f(1)=213=2
  • Fourth derivative:
    f ( 4 ) ( x ) = d d x ( 2 x 3 ) = 6 x 4 , f ( 4 ) ( 1 ) = 6 1 4 = 6 f ( 4 ) ( x ) = d d x 2 x 3 = 6 x 4 , f ( 4 ) ( 1 ) = 6 1 4 = 6 f^((4))(x)=(d)/(dx)((2)/(x^(3)))=-(6)/(x^(4)),quadf^((4))(1)=-(6)/(1^(4))=-6f^{(4)}(x) = \frac{d}{dx} \left( \frac{2}{x^3} \right) = -\frac{6}{x^4}, \quad f^{(4)}(1) = -\frac{6}{1^4} = -6f(4)(x)=ddx(2x3)=6x4,f(4)(1)=614=6
  • Fifth derivative:
    f ( 5 ) ( x ) = d d x ( 6 x 4 ) = 24 x 5 , f ( 5 ) ( 1 ) = 24 1 5 = 24 f ( 5 ) ( x ) = d d x 6 x 4 = 24 x 5 , f ( 5 ) ( 1 ) = 24 1 5 = 24 f^((5))(x)=(d)/(dx)(-(6)/(x^(4)))=(24)/(x^(5)),quadf^((5))(1)=(24)/(1^(5))=24f^{(5)}(x) = \frac{d}{dx} \left( -\frac{6}{x^4} \right) = \frac{24}{x^5}, \quad f^{(5)}(1) = \frac{24}{1^5} = 24f(5)(x)=ddx(6x4)=24x5,f(5)(1)=2415=24
To generalize, let’s find the pattern for the n n nnn-th derivative. For n 1 n 1 n >= 1n \geq 1n1:
  • First derivative: f ( x ) = x 1 f ( x ) = x 1 f^(‘)(x)=x^(-1)f'(x) = x^{-1}f(x)=x1
  • Second derivative: f ( x ) = x 2 f ( x ) = x 2 f^(″)(x)=-x^(-2)f”(x) = -x^{-2}f(x)=x2
  • Third derivative: f ( x ) = 2 x 3 = 2 1 x 3 f ( x ) = 2 x 3 = 2 1 x 3 f^(‴)(x)=2x^(-3)=2*1*x^(-3)f”'(x) = 2x^{-3} = 2 \cdot 1 \cdot x^{-3}f(x)=2x3=21x3
  • Fourth derivative: f ( 4 ) ( x ) = 6 x 4 = 3 2 1 x 4 f ( 4 ) ( x ) = 6 x 4 = 3 2 1 x 4 f^((4))(x)=-6x^(-4)=-3*2*1*x^(-4)f^{(4)}(x) = -6x^{-4} = -3 \cdot 2 \cdot 1 \cdot x^{-4}f(4)(x)=6x4=321x4
  • Fifth derivative: f ( 5 ) ( x ) = 24 x 5 = 4 3 2 1 x 5 f ( 5 ) ( x ) = 24 x 5 = 4 3 2 1 x 5 f^((5))(x)=24x^(-5)=4*3*2*1*x^(-5)f^{(5)}(x) = 24x^{-5} = 4 \cdot 3 \cdot 2 \cdot 1 \cdot x^{-5}f(5)(x)=24x5=4321x5
The n n nnn-th derivative appears to be:
f ( n ) ( x ) = ( 1 ) n 1 ( n 1 ) ! x n f ( n ) ( x ) = ( 1 ) n 1 ( n 1 ) ! x n f^((n))(x)=(-1)^(n-1)(n-1)!x^(-n)f^{(n)}(x) = (-1)^{n-1} (n-1)! x^{-n}f(n)(x)=(1)n1(n1)!xn
Evaluate at x = 1 x = 1 x=1x = 1x=1:
f ( n ) ( 1 ) = ( 1 ) n 1 ( n 1 ) ! 1 n = ( 1 ) n 1 ( n 1 ) ! f ( n ) ( 1 ) = ( 1 ) n 1 ( n 1 ) ! 1 n = ( 1 ) n 1 ( n 1 ) ! f^((n))(1)=(-1)^(n-1)(n-1)!*1^(-n)=(-1)^(n-1)(n-1)!f^{(n)}(1) = (-1)^{n-1} (n-1)! \cdot 1^{-n} = (-1)^{n-1} (n-1)!f(n)(1)=(1)n1(n1)!1n=(1)n1(n1)!

Step 3: Construct the Taylor Series

The Taylor series for ln ( x ) ln ( x ) ln(x)\ln(x)ln(x) around x = 1 x = 1 x=1x = 1x=1 is:
ln ( x ) = f ( 1 ) + f ( 1 ) ( x 1 ) + f ( 1 ) 2 ! ( x 1 ) 2 + f ( 1 ) 3 ! ( x 1 ) 3 + f ( 4 ) ( 1 ) 4 ! ( x 1 ) 4 + ln ( x ) = f ( 1 ) + f ( 1 ) ( x 1 ) + f ( 1 ) 2 ! ( x 1 ) 2 + f ( 1 ) 3 ! ( x 1 ) 3 + f ( 4 ) ( 1 ) 4 ! ( x 1 ) 4 + ln(x)=f(1)+f^(‘)(1)(x-1)+(f^(″)(1))/(2!)(x-1)^(2)+(f^(‴)(1))/(3!)(x-1)^(3)+(f^((4))(1))/(4!)(x-1)^(4)+cdots\ln(x) = f(1) + f'(1)(x-1) + \frac{f”(1)}{2!}(x-1)^2 + \frac{f”'(1)}{3!}(x-1)^3 + \frac{f^{(4)}(1)}{4!}(x-1)^4 + \cdotsln(x)=f(1)+f(1)(x1)+f(1)2!(x1)2+f(1)3!(x1)3+f(4)(1)4!(x1)4+
Substitute the derivatives:
  • f ( 1 ) = 0 f ( 1 ) = 0 f(1)=0f(1) = 0f(1)=0
  • f ( 1 ) = 1 f ( 1 ) = 1 f^(‘)(1)=1f'(1) = 1f(1)=1
  • f ( 1 ) = 1 f ( 1 ) = 1 f^(″)(1)=-1f”(1) = -1f(1)=1, so f ( 1 ) 2 ! = 1 2 = 1 2 f ( 1 ) 2 ! = 1 2 = 1 2 (f^(″)(1))/(2!)=(-1)/(2)=-(1)/(2)\frac{f”(1)}{2!} = \frac{-1}{2} = -\frac{1}{2}f(1)2!=12=12
  • f ( 1 ) = 2 f ( 1 ) = 2 f^(‴)(1)=2f”'(1) = 2f(1)=2, so f ( 1 ) 3 ! = 2 6 = 1 3 f ( 1 ) 3 ! = 2 6 = 1 3 (f^(‴)(1))/(3!)=(2)/(6)=(1)/(3)\frac{f”'(1)}{3!} = \frac{2}{6} = \frac{1}{3}f(1)3!=26=13
  • f ( 4 ) ( 1 ) = 6 f ( 4 ) ( 1 ) = 6 f^((4))(1)=-6f^{(4)}(1) = -6f(4)(1)=6, so f ( 4 ) ( 1 ) 4 ! = 6 24 = 1 4 f ( 4 ) ( 1 ) 4 ! = 6 24 = 1 4 (f^((4))(1))/(4!)=(-6)/(24)=-(1)/(4)\frac{f^{(4)}(1)}{4!} = \frac{-6}{24} = -\frac{1}{4}f(4)(1)4!=624=14
  • f ( 5 ) ( 1 ) = 24 f ( 5 ) ( 1 ) = 24 f^((5))(1)=24f^{(5)}(1) = 24f(5)(1)=24, so f ( 5 ) ( 1 ) 5 ! = 24 120 = 1 5 f ( 5 ) ( 1 ) 5 ! = 24 120 = 1 5 (f^((5))(1))/(5!)=(24)/(120)=(1)/(5)\frac{f^{(5)}(1)}{5!} = \frac{24}{120} = \frac{1}{5}f(5)(1)5!=24120=15
For the n n nnn-th term ( n 1 n 1 n >= 1n \geq 1n1):
f ( n ) ( 1 ) n ! = ( 1 ) n 1 ( n 1 ) ! n ! = ( 1 ) n 1 n f ( n ) ( 1 ) n ! = ( 1 ) n 1 ( n 1 ) ! n ! = ( 1 ) n 1 n (f^((n))(1))/(n!)=((-1)^(n-1)(n-1)!)/(n!)=((-1)^(n-1))/(n)\frac{f^{(n)}(1)}{n!} = \frac{(-1)^{n-1} (n-1)!}{n!} = \frac{(-1)^{n-1}}{n}f(n)(1)n!=(1)n1(n1)!n!=(1)n1n
Thus, the series is:
ln ( x ) = 0 + ( x 1 ) ( x 1 ) 2 2 + ( x 1 ) 3 3 ( x 1 ) 4 4 + ln ( x ) = 0 + ( x 1 ) ( x 1 ) 2 2 + ( x 1 ) 3 3 ( x 1 ) 4 4 + ln(x)=0+(x-1)-((x-1)^(2))/(2)+((x-1)^(3))/(3)-((x-1)^(4))/(4)+cdots\ln(x) = 0 + (x-1) – \frac{(x-1)^2}{2} + \frac{(x-1)^3}{3} – \frac{(x-1)^4}{4} + \cdotsln(x)=0+(x1)(x1)22+(x1)33(x1)44+
ln ( x ) = n = 1 ( 1 ) n 1 n ( x 1 ) n ln ( x ) = n = 1 ( 1 ) n 1 n ( x 1 ) n ln(x)=sum_(n=1)^(oo)((-1)^(n-1))/(n)(x-1)^(n)\ln(x) = \sum_{n=1}^\infty \frac{(-1)^{n-1}}{n} (x-1)^nln(x)=n=1(1)n1n(x1)n
This is the Taylor series expansion of ln ( x ) ln ( x ) ln(x)\ln(x)ln(x) in powers of ( x 1 ) ( x 1 ) (x-1)(x-1)(x1), valid for | x 1 | < 1 | x 1 | < 1 |x-1| < 1|x-1| < 1|x1|<1, and at x = 2 x = 2 x=2x = 2x=2 by checking the radius of convergence and endpoint behavior.

Step 4: Evaluate ln ( 1.1 ) ln ( 1.1 ) ln(1.1)\ln(1.1)ln(1.1)

To find ln ( 1.1 ) ln ( 1.1 ) ln(1.1)\ln(1.1)ln(1.1) correct to four decimal places, set x = 1.1 x = 1.1 x=1.1x = 1.1x=1.1, so x 1 = 1.1 1 = 0.1 x 1 = 1.1 1 = 0.1 x-1=1.1-1=0.1x-1 = 1.1 – 1 = 0.1x1=1.11=0.1. Substitute into the series:
ln ( 1.1 ) = ( 0.1 ) ( 0.1 ) 2 2 + ( 0.1 ) 3 3 ( 0.1 ) 4 4 + ( 0.1 ) 5 5 ln ( 1.1 ) = ( 0.1 ) ( 0.1 ) 2 2 + ( 0.1 ) 3 3 ( 0.1 ) 4 4 + ( 0.1 ) 5 5 ln(1.1)=(0.1)-((0.1)^(2))/(2)+((0.1)^(3))/(3)-((0.1)^(4))/(4)+((0.1)^(5))/(5)-cdots\ln(1.1) = (0.1) – \frac{(0.1)^2}{2} + \frac{(0.1)^3}{3} – \frac{(0.1)^4}{4} + \frac{(0.1)^5}{5} – \cdotsln(1.1)=(0.1)(0.1)22+(0.1)33(0.1)44+(0.1)55
This is an alternating series:
ln ( 1.1 ) = n = 1 ( 1 ) n 1 n ( 0.1 ) n ln ( 1.1 ) = n = 1 ( 1 ) n 1 n ( 0.1 ) n ln(1.1)=sum_(n=1)^(oo)((-1)^(n-1))/(n)(0.1)^(n)\ln(1.1) = \sum_{n=1}^\infty \frac{(-1)^{n-1}}{n} (0.1)^nln(1.1)=n=1(1)n1n(0.1)n
Compute the terms:
  • n = 1 n = 1 n=1n=1n=1: ( 0.1 ) 1 1 = 0.1 ( 0.1 ) 1 1 = 0.1 ((0.1)^(1))/(1)=0.1\frac{(0.1)^1}{1} = 0.1(0.1)11=0.1
  • n = 2 n = 2 n=2n=2n=2: ( 0.1 ) 2 2 = 0.01 2 = 0.005 ( 0.1 ) 2 2 = 0.01 2 = 0.005 -((0.1)^(2))/(2)=-(0.01)/(2)=-0.005-\frac{(0.1)^2}{2} = -\frac{0.01}{2} = -0.005(0.1)22=0.012=0.005
  • n = 3 n = 3 n=3n=3n=3: ( 0.1 ) 3 3 = 0.001 3 0.000333333 ( 0.1 ) 3 3 = 0.001 3 0.000333333 ((0.1)^(3))/(3)=(0.001)/(3)~~0.000333333\frac{(0.1)^3}{3} = \frac{0.001}{3} \approx 0.000333333(0.1)33=0.00130.000333333
  • n = 4 n = 4 n=4n=4n=4: ( 0.1 ) 4 4 = 0.0001 4 = 0.000025 ( 0.1 ) 4 4 = 0.0001 4 = 0.000025 -((0.1)^(4))/(4)=-(0.0001)/(4)=-0.000025-\frac{(0.1)^4}{4} = -\frac{0.0001}{4} = -0.000025(0.1)44=0.00014=0.000025
  • n = 5 n = 5 n=5n=5n=5: ( 0.1 ) 5 5 = 0.00001 5 = 0.000002 ( 0.1 ) 5 5 = 0.00001 5 = 0.000002 ((0.1)^(5))/(5)=(0.00001)/(5)=0.000002\frac{(0.1)^5}{5} = \frac{0.00001}{5} = 0.000002(0.1)55=0.000015=0.000002
  • n = 6 n = 6 n=6n=6n=6: ( 0.1 ) 6 6 = 0.000001 6 0.00000016667 ( 0.1 ) 6 6 = 0.000001 6 0.00000016667 -((0.1)^(6))/(6)=-(0.000001)/(6)~~-0.00000016667-\frac{(0.1)^6}{6} = -\frac{0.000001}{6} \approx -0.00000016667(0.1)66=0.00000160.00000016667
Sum the first few terms:
  • First term: 0.1 0.1 0.10.10.1
  • First two terms: 0.1 0.005 = 0.095 0.1 0.005 = 0.095 0.1-0.005=0.0950.1 – 0.005 = 0.0950.10.005=0.095
  • First three terms: 0.095 + 0.000333333 0.095333333 0.095 + 0.000333333 0.095333333 0.095+0.000333333~~0.0953333330.095 + 0.000333333 \approx 0.0953333330.095+0.0003333330.095333333
  • First four terms: 0.095333333 0.000025 = 0.095308333 0.095333333 0.000025 = 0.095308333 0.095333333-0.000025=0.0953083330.095333333 – 0.000025 = 0.0953083330.0953333330.000025=0.095308333
  • First five terms: 0.095308333 + 0.000002 = 0.095310333 0.095308333 + 0.000002 = 0.095310333 0.095308333+0.000002=0.0953103330.095308333 + 0.000002 = 0.0953103330.095308333+0.000002=0.095310333
  • First six terms: 0.095310333 0.00000016667 0.09531016667 0.095310333 0.00000016667 0.09531016667 0.095310333-0.00000016667~~0.095310166670.095310333 – 0.00000016667 \approx 0.095310166670.0953103330.000000166670.09531016667

Step 5: Determine Terms Needed for Four Decimal Places

To ensure accuracy to four decimal places (error less than 0.00005 0.00005 0.000050.000050.00005), use the alternating series error bound. For an alternating series ( 1 ) n 1 b n ( 1 ) n 1 b n sum(-1)^(n-1)b_(n)\sum (-1)^{n-1} b_n(1)n1bn, the error after k k kkk terms is less than the absolute value of the ( k + 1 ) ( k + 1 ) (k+1)(k+1)(k+1)-th term:
Error < b k + 1 = ( 0.1 ) k + 1 k + 1 Error < b k + 1 = ( 0.1 ) k + 1 k + 1 “Error” < b_(k+1)=((0.1)^(k+1))/(k+1)\text{Error} < b_{k+1} = \frac{(0.1)^{k+1}}{k+1}Error<bk+1=(0.1)k+1k+1
We need:
( 0.1 ) k + 1 k + 1 < 0.00005 = 5 × 10 5 ( 0.1 ) k + 1 k + 1 < 0.00005 = 5 × 10 5 ((0.1)^(k+1))/(k+1) < 0.00005=5xx10^(-5)\frac{(0.1)^{k+1}}{k+1} < 0.00005 = 5 \times 10^{-5}(0.1)k+1k+1<0.00005=5×105
Test k = 4 k = 4 k=4k=4k=4 (after four terms, error is bounded by the fifth term):
b 5 = ( 0.1 ) 5 5 = 0.00001 5 = 0.000002 < 0.00005 b 5 = ( 0.1 ) 5 5 = 0.00001 5 = 0.000002 < 0.00005 b_(5)=((0.1)^(5))/(5)=(0.00001)/(5)=0.000002 < 0.00005b_5 = \frac{(0.1)^5}{5} = \frac{0.00001}{5} = 0.000002 < 0.00005b5=(0.1)55=0.000015=0.000002<0.00005
This satisfies the requirement. The partial sum after four terms is:
S 4 0.095308333 S 4 0.095308333 S_(4)~~0.095308333S_4 \approx 0.095308333S40.095308333
Round to four decimal places:
0.095308333 0.0953 0.095308333 0.0953 0.095308333~~0.09530.095308333 \approx 0.09530.0953083330.0953
The fifth term ( 0.000002 0.000002 0.0000020.0000020.000002) suggests the true value is slightly higher, but let’s check with one more term:
S 5 0.095310333 0.0953 S 5 0.095310333 0.0953 S_(5)~~0.095310333~~0.0953S_5 \approx 0.095310333 \approx 0.0953S50.0953103330.0953
The sixth term is 0.00000016667 0.00000016667 -0.00000016667-0.000000166670.00000016667, which affects the fifth decimal place, confirming S 5 0.0953 S 5 0.0953 S_(5)~~0.0953S_5 \approx 0.0953S50.0953 to four decimal places.

Step 6: Verify the Result

The actual value of ln ( 1.1 ) 0.09531017980432493 ln ( 1.1 ) 0.09531017980432493 ln(1.1)~~0.09531017980432493\ln(1.1) \approx 0.09531017980432493ln(1.1)0.09531017980432493. Rounding to four decimal places:
0.09531017980432493 0.0953 0.09531017980432493 0.0953 0.09531017980432493~~0.09530.09531017980432493 \approx 0.09530.095310179804324930.0953
Our series approximation S 5 0.095310333 S 5 0.095310333 S_(5)~~0.095310333S_5 \approx 0.095310333S50.095310333 matches this when rounded, confirming correctness.

Final Answer

The Taylor series expansion of ln ( x ) ln ( x ) ln(x)\ln(x)ln(x) in powers of ( x 1 ) ( x 1 ) (x-1)(x-1)(x1) is:
ln ( x ) = n = 1 ( 1 ) n 1 n ( x 1 ) n ln ( x ) = n = 1 ( 1 ) n 1 n ( x 1 ) n ln(x)=sum_(n=1)^(oo)((-1)^(n-1))/(n)(x-1)^(n)\ln(x) = \sum_{n=1}^\infty \frac{(-1)^{n-1}}{n} (x-1)^nln(x)=n=1(1)n1n(x1)n
The value of ln ( 1.1 ) ln ( 1.1 ) ln(1.1)\ln(1.1)ln(1.1) correct to four decimal places is:
0.0953 0.0953 0.0953\boxed{0.0953}0.0953

Question:-1(e)

Find the equation of the right circular cylinder which passes through the circle x 2 + y 2 + z 2 = 9 , x y + z = 3 x 2 + y 2 + z 2 = 9 , x y + z = 3 x^(2)+y^(2)+z^(2)=9,x-y+z=3x^{2}+y^{2}+z^{2}=9,\; x-y+z=3x2+y2+z2=9,xy+z=3.

Answer:

To find the equation of the right circular cylinder that passes through the given circle, we’ll follow these steps:

Given:

The circle is the intersection of the sphere x 2 + y 2 + z 2 = 9 x 2 + y 2 + z 2 = 9 x^(2)+y^(2)+z^(2)=9x^{2} + y^{2} + z^{2} = 9x2+y2+z2=9 and the plane x y + z = 3 x y + z = 3 x-y+z=3x – y + z = 3xy+z=3.

Step 1: Find the Center and Radius of the Given Circle

  1. Center of the Sphere:
    The sphere x 2 + y 2 + z 2 = 9 x 2 + y 2 + z 2 = 9 x^(2)+y^(2)+z^(2)=9x^{2} + y^{2} + z^{2} = 9x2+y2+z2=9 has its center at the origin ( 0 , 0 , 0 ) ( 0 , 0 , 0 ) (0,0,0)(0, 0, 0)(0,0,0) and radius 3 3 333.
  2. Distance from the Center to the Plane:
    The plane is x y + z = 3 x y + z = 3 x-y+z=3x – y + z = 3xy+z=3. The distance d d ddd from the center ( 0 , 0 , 0 ) ( 0 , 0 , 0 ) (0,0,0)(0, 0, 0)(0,0,0) to the plane is:
    d = | 0 0 + 0 3 | 1 2 + ( 1 ) 2 + 1 2 = 3 3 = 3 . d = | 0 0 + 0 3 | 1 2 + ( 1 ) 2 + 1 2 = 3 3 = 3 . d=(|0-0+0-3|)/(sqrt(1^(2)+(-1)^(2)+1^(2)))=(3)/(sqrt3)=sqrt3.d = \frac{|0 – 0 + 0 – 3|}{\sqrt{1^2 + (-1)^2 + 1^2}} = \frac{3}{\sqrt{3}} = \sqrt{3}.d=|00+03|12+(1)2+12=33=3.
  3. Radius of the Circle:
    Using the Pythagorean theorem for the sphere and plane intersection:
    Radius of the circle = R 2 d 2 = 9 3 = 6 . Radius of the circle = R 2 d 2 = 9 3 = 6 . “Radius of the circle”=sqrt(R^(2)-d^(2))=sqrt(9-3)=sqrt6.\text{Radius of the circle} = \sqrt{R^2 – d^2} = \sqrt{9 – 3} = \sqrt{6}.Radius of the circle=R2d2=93=6.
  4. Center of the Circle:
    The center of the circle lies along the normal from the sphere’s center to the plane. The normal vector to the plane x y + z = 3 x y + z = 3 x-y+z=3x – y + z = 3xy+z=3 is n = ( 1 , 1 , 1 ) n = ( 1 , 1 , 1 ) n=(1,-1,1)\mathbf{n} = (1, -1, 1)n=(1,1,1).
    The parametric equations for the line from the origin in the direction of n n n\mathbf{n}n are:
    x = t , y = t , z = t . x = t , y = t , z = t . x=t,quad y=-t,quad z=t.x = t, \quad y = -t, \quad z = t.x=t,y=t,z=t.
    Substituting into the plane equation to find the foot of the perpendicular:
    t ( t ) + t = 3 3 t = 3 t = 1. t ( t ) + t = 3 3 t = 3 t = 1. t-(-t)+t=3=>3t=3=>t=1.t – (-t) + t = 3 \Rightarrow 3t = 3 \Rightarrow t = 1.t(t)+t=33t=3t=1.
    So, the center of the circle is ( 1 , 1 , 1 ) ( 1 , 1 , 1 ) (1,-1,1)(1, -1, 1)(1,1,1).

Step 2: Determine the Axis of the Cylinder

The axis of the right circular cylinder is parallel to the normal vector of the given plane n = ( 1 , 1 , 1 ) n = ( 1 , 1 , 1 ) n=(1,-1,1)\mathbf{n} = (1, -1, 1)n=(1,1,1).

Step 3: Find the Equation of the Cylinder

A right circular cylinder with axis parallel to n = ( 1 , 1 , 1 ) n = ( 1 , 1 , 1 ) n=(1,-1,1)\mathbf{n} = (1, -1, 1)n=(1,1,1) and passing through the circle centered at ( 1 , 1 , 1 ) ( 1 , 1 , 1 ) (1,-1,1)(1, -1, 1)(1,1,1) with radius 6 6 sqrt6\sqrt{6}6 can be described as follows:
  1. Distance from a Point ( x , y , z ) ( x , y , z ) (x,y,z)(x, y, z)(x,y,z) to the Axis:
    The distance D D DDD from a point ( x , y , z ) ( x , y , z ) (x,y,z)(x, y, z)(x,y,z) to the line (axis) passing through ( 1 , 1 , 1 ) ( 1 , 1 , 1 ) (1,-1,1)(1, -1, 1)(1,1,1) in the direction n = ( 1 , 1 , 1 ) n = ( 1 , 1 , 1 ) n=(1,-1,1)\mathbf{n} = (1, -1, 1)n=(1,1,1) is given by:
    D = n × v n , D = n × v n , D=(||nxxv||)/(||n||),D = \frac{\| \mathbf{n} \times \mathbf{v} \|}{\| \mathbf{n} \|},D=n×vn,
    where v = ( x 1 , y + 1 , z 1 ) v = ( x 1 , y + 1 , z 1 ) v=(x-1,y+1,z-1)\mathbf{v} = (x – 1, y + 1, z – 1)v=(x1,y+1,z1).
    Compute the cross product:
    n × v = | i j k 1 1 1 x 1 y + 1 z 1 | = i ( ( 1 ) ( z 1 ) 1 ( y + 1 ) ) j ( 1 ( z 1 ) 1 ( x 1 ) ) + k ( 1 ( y + 1 ) ( 1 ) ( x 1 ) ) . n × v = i j k 1 1 1 x 1 y + 1 z 1 = i ( 1 ) ( z 1 ) 1 ( y + 1 ) j 1 ( z 1 ) 1 ( x 1 ) + k 1 ( y + 1 ) ( 1 ) ( x 1 ) . nxxv=|[i,j,k],[1,-1,1],[x-1,y+1,z-1]|=i((-1)(z-1)-1(y+1))-j(1(z-1)-1(x-1))+k(1(y+1)-(-1)(x-1)).\mathbf{n} \times \mathbf{v} = \begin{vmatrix} \mathbf{i} & \mathbf{j} & \mathbf{k} \\ 1 & -1 & 1 \\ x – 1 & y + 1 & z – 1 \end{vmatrix} = \mathbf{i} \left( (-1)(z – 1) – 1(y + 1) \right) – \mathbf{j} \left( 1(z – 1) – 1(x – 1) \right) + \mathbf{k} \left( 1(y + 1) – (-1)(x – 1) \right).n×v=|ijk111x1y+1z1|=i((1)(z1)1(y+1))j(1(z1)1(x1))+k(1(y+1)(1)(x1)).
    Simplifying:
    n × v = ( ( z 1 ) ( y + 1 ) ) i ( ( z 1 ) ( x 1 ) ) j + ( ( y + 1 ) + ( x 1 ) ) k . n × v = ( z 1 ) ( y + 1 ) i ( z 1 ) ( x 1 ) j + ( y + 1 ) + ( x 1 ) k . nxxv=(-(z-1)-(y+1))i-((z-1)-(x-1))j+((y+1)+(x-1))k.\mathbf{n} \times \mathbf{v} = \left( – (z – 1) – (y + 1) \right) \mathbf{i} – \left( (z – 1) – (x – 1) \right) \mathbf{j} + \left( (y + 1) + (x – 1) \right) \mathbf{k}.n×v=((z1)(y+1))i((z1)(x1))j+((y+1)+(x1))k.
    = ( y z ) i ( z x ) j + ( x + y ) k . = ( y z ) i ( z x ) j + ( x + y ) k . =(-y-z)i-(z-x)j+(x+y)k.= (-y – z) \mathbf{i} – (z – x) \mathbf{j} + (x + y) \mathbf{k}.=(yz)i(zx)j+(x+y)k.
    The magnitude is:
    n × v = ( y z ) 2 + ( z + x ) 2 + ( x + y ) 2 . n × v = ( y z ) 2 + ( z + x ) 2 + ( x + y ) 2 . ||nxxv||=sqrt((-y-z)^(2)+(-z+x)^(2)+(x+y)^(2)).\| \mathbf{n} \times \mathbf{v} \| = \sqrt{(-y – z)^2 + (-z + x)^2 + (x + y)^2}.n×v=(yz)2+(z+x)2+(x+y)2.
    = ( y + z ) 2 + ( z x ) 2 + ( x + y ) 2 . = ( y + z ) 2 + ( z x ) 2 + ( x + y ) 2 . =sqrt((y+z)^(2)+(z-x)^(2)+(x+y)^(2)).= \sqrt{(y + z)^2 + (z – x)^2 + (x + y)^2}.=(y+z)2+(zx)2+(x+y)2.
    The magnitude of n n n\mathbf{n}n is:
    n = 1 2 + ( 1 ) 2 + 1 2 = 3 . n = 1 2 + ( 1 ) 2 + 1 2 = 3 . ||n||=sqrt(1^(2)+(-1)^(2)+1^(2))=sqrt3.\| \mathbf{n} \| = \sqrt{1^2 + (-1)^2 + 1^2} = \sqrt{3}.n=12+(1)2+12=3.
    Therefore:
    D = ( y + z ) 2 + ( z x ) 2 + ( x + y ) 2 3 . D = ( y + z ) 2 + ( z x ) 2 + ( x + y ) 2 3 . D=(sqrt((y+z)^(2)+(z-x)^(2)+(x+y)^(2)))/(sqrt3).D = \frac{\sqrt{(y + z)^2 + (z – x)^2 + (x + y)^2}}{\sqrt{3}}.D=(y+z)2+(zx)2+(x+y)23.
  2. Equation of the Cylinder:
    The cylinder consists of all points ( x , y , z ) ( x , y , z ) (x,y,z)(x, y, z)(x,y,z) such that the distance D D DDD to the axis is equal to the radius 6 6 sqrt6\sqrt{6}6:
    ( y + z ) 2 + ( z x ) 2 + ( x + y ) 2 3 = 6 . ( y + z ) 2 + ( z x ) 2 + ( x + y ) 2 3 = 6 . (sqrt((y+z)^(2)+(z-x)^(2)+(x+y)^(2)))/(sqrt3)=sqrt6.\frac{\sqrt{(y + z)^2 + (z – x)^2 + (x + y)^2}}{\sqrt{3}} = \sqrt{6}.(y+z)2+(zx)2+(x+y)23=6.
    Squaring both sides:
    ( y + z ) 2 + ( z x ) 2 + ( x + y ) 2 3 = 6. ( y + z ) 2 + ( z x ) 2 + ( x + y ) 2 3 = 6. ((y+z)^(2)+(z-x)^(2)+(x+y)^(2))/(3)=6.\frac{(y + z)^2 + (z – x)^2 + (x + y)^2}{3} = 6.(y+z)2+(zx)2+(x+y)23=6.
    Multiply by 3:
    ( y + z ) 2 + ( z x ) 2 + ( x + y ) 2 = 18. ( y + z ) 2 + ( z x ) 2 + ( x + y ) 2 = 18. (y+z)^(2)+(z-x)^(2)+(x+y)^(2)=18.(y + z)^2 + (z – x)^2 + (x + y)^2 = 18.(y+z)2+(zx)2+(x+y)2=18.
    Expand each square:
    ( y 2 + 2 y z + z 2 ) + ( z 2 2 x z + x 2 ) + ( x 2 + 2 x y + y 2 ) = 18. ( y 2 + 2 y z + z 2 ) + ( z 2 2 x z + x 2 ) + ( x 2 + 2 x y + y 2 ) = 18. (y^(2)+2yz+z^(2))+(z^(2)-2xz+x^(2))+(x^(2)+2xy+y^(2))=18.(y^2 + 2yz + z^2) + (z^2 – 2xz + x^2) + (x^2 + 2xy + y^2) = 18.(y2+2yz+z2)+(z22xz+x2)+(x2+2xy+y2)=18.
    Combine like terms:
    2 x 2 + 2 y 2 + 2 z 2 + 2 x y + 2 y z 2 x z = 18. 2 x 2 + 2 y 2 + 2 z 2 + 2 x y + 2 y z 2 x z = 18. 2x^(2)+2y^(2)+2z^(2)+2xy+2yz-2xz=18.2x^2 + 2y^2 + 2z^2 + 2xy + 2yz – 2xz = 18.2x2+2y2+2z2+2xy+2yz2xz=18.
    Divide by 2:
    x 2 + y 2 + z 2 + x y + y z x z = 9. x 2 + y 2 + z 2 + x y + y z x z = 9. x^(2)+y^(2)+z^(2)+xy+yz-xz=9.x^2 + y^2 + z^2 + xy + yz – xz = 9.x2+y2+z2+xy+yzxz=9.

Final Answer:

The equation of the right circular cylinder is:
x 2 + y 2 + z 2 + x y + y z x z = 9 x 2 + y 2 + z 2 + x y + y z x z = 9 x^(2)+y^(2)+z^(2)+xy+yz-xz=9\boxed{x^2 + y^2 + z^2 + xy + yz – xz = 9}x2+y2+z2+xy+yzxz=9

Question:-2(a)

Consider a linear operator T T TTT on R 3 R 3 R^(3)\mathbb{R}^{3}R3 over R R R\mathbb{R}R defined by T ( x , y , z ) = ( 2 x , 4 x y , 2 x + 3 y z ) T ( x , y , z ) = ( 2 x , 4 x y , 2 x + 3 y z ) T(x,y,z)=(2x,4x-y,2x+3y-z)T(x, y, z)=(2x,\,4x-y,\,2x+3y-z)T(x,y,z)=(2x,4xy,2x+3yz). Is T T TTT invertible? If yes, justify your answer and find T 1 T 1 T^(-1)T^{-1}T1.

Answer:

To determine if the linear operator T T TTT is invertible and to find its inverse T 1 T 1 T^(-1)T^{-1}T1 if it exists, we follow these steps:

1. Definition of T T TTT:

The linear operator T T TTT on R 3 R 3 R^(3)\mathbb{R}^3R3 is defined by:
T ( x , y , z ) = ( 2 x , 4 x y , 2 x + 3 y z ) . T ( x , y , z ) = ( 2 x , 4 x y , 2 x + 3 y z ) . T(x,y,z)=(2x,4x-y,2x+3y-z).T(x, y, z) = (2x, \, 4x – y, \, 2x + 3y – z).T(x,y,z)=(2x,4xy,2x+3yz).

2. Matrix Representation of T T TTT:

To represent T T TTT as a matrix, we apply T T TTT to the standard basis vectors e 1 = ( 1 , 0 , 0 ) e 1 = ( 1 , 0 , 0 ) e_(1)=(1,0,0)\mathbf{e}_1 = (1, 0, 0)e1=(1,0,0), e 2 = ( 0 , 1 , 0 ) e 2 = ( 0 , 1 , 0 ) e_(2)=(0,1,0)\mathbf{e}_2 = (0, 1, 0)e2=(0,1,0), and e 3 = ( 0 , 0 , 1 ) e 3 = ( 0 , 0 , 1 ) e_(3)=(0,0,1)\mathbf{e}_3 = (0, 0, 1)e3=(0,0,1):
T ( e 1 ) = ( 2 , 4 , 2 ) , T ( e 2 ) = ( 0 , 1 , 3 ) , T ( e 3 ) = ( 0 , 0 , 1 ) . T ( e 1 ) = ( 2 , 4 , 2 ) , T ( e 2 ) = ( 0 , 1 , 3 ) , T ( e 3 ) = ( 0 , 0 , 1 ) . T(e_(1))=(2,4,2),quad T(e_(2))=(0,-1,3),quad T(e_(3))=(0,0,-1).T(\mathbf{e}_1) = (2, 4, 2), \quad T(\mathbf{e}_2) = (0, -1, 3), \quad T(\mathbf{e}_3) = (0, 0, -1).T(e1)=(2,4,2),T(e2)=(0,1,3),T(e3)=(0,0,1).
Thus, the matrix A A AAA representing T T TTT is:
A = [ 2 0 0 4 1 0 2 3 1 ] . A = 2 0 0 4 1 0 2 3 1 . A=[[2,0,0],[4,-1,0],[2,3,-1]].A = \begin{bmatrix} 2 & 0 & 0 \\ 4 & -1 & 0 \\ 2 & 3 & -1 \\ \end{bmatrix}.A=[200410231].

3. Checking Invertibility:

A matrix (and hence the operator) is invertible if its determinant is non-zero. Let’s compute det ( A ) det ( A ) det(A)\det(A)det(A):
det ( A ) = 2 | 1 0 3 1 | 0 | 4 0 2 1 | + 0 | 4 1 2 3 | = 2 ( ( 1 ) ( 1 ) 0 3 ) = 2 1 = 2. det ( A ) = 2 1 0 3 1 0 4 0 2 1 + 0 4 1 2 3 = 2 ( ( 1 ) ( 1 ) 0 3 ) = 2 1 = 2. det(A)=2*|[-1,0],[3,-1]|-0*|[4,0],[2,-1]|+0*|[4,-1],[2,3]|=2*((-1)(-1)-0*3)=2*1=2.\det(A) = 2 \cdot \begin{vmatrix} -1 & 0 \\ 3 & -1 \\ \end{vmatrix} – 0 \cdot \begin{vmatrix} 4 & 0 \\ 2 & -1 \\ \end{vmatrix} + 0 \cdot \begin{vmatrix} 4 & -1 \\ 2 & 3 \\ \end{vmatrix} = 2 \cdot ((-1)(-1) – 0 \cdot 3) = 2 \cdot 1 = 2.det(A)=2|1031|0|4021|+0|4123|=2((1)(1)03)=21=2.
Since det ( A ) = 2 0 det ( A ) = 2 0 det(A)=2!=0\det(A) = 2 \neq 0det(A)=20, T T TTT is invertible.

4. Finding the Inverse T 1 T 1 T^(-1)T^{-1}T1:

To find A 1 A 1 A^(-1)A^{-1}A1, we use the formula for the inverse of a 3 × 3 3 × 3 3xx33 \times 33×3 matrix:
A 1 = 1 det ( A ) adj ( A ) , A 1 = 1 det ( A ) adj ( A ) , A^(-1)=(1)/(det(A))*”adj”(A),A^{-1} = \frac{1}{\det(A)} \cdot \text{adj}(A),A1=1det(A)adj(A),
where adj ( A ) adj ( A ) “adj”(A)\text{adj}(A)adj(A) is the adjugate of A A AAA.
First, compute the cofactor matrix C C CCC of A A AAA:
C = [ | 1 0 3 1 | | 4 0 2 1 | | 4 1 2 3 | | 0 0 3 1 | | 2 0 2 1 | | 2 0 2 3 | | 0 0 1 0 | | 2 0 4 0 | | 2 0 4 1 | ] = [ 1 4 14 0 2 6 0 0 2 ] . C = 1 0 3 1 4 0 2 1 4 1 2 3 0 0 3 1 2 0 2 1 2 0 2 3 0 0 1 0 2 0 4 0 2 0 4 1 = 1 4 14 0 2 6 0 0 2 . C=[[|[-1,0],[3,-1]|,-|[4,0],[2,-1]|,|[4,-1],[2,3]|],[-|[0,0],[3,-1]|,|[2,0],[2,-1]|,-|[2,0],[2,3]|],[|[0,0],[-1,0]|,-|[2,0],[4,0]|,|[2,0],[4,-1]|]]=[[1,4,14],[0,-2,-6],[0,0,-2]].C = \begin{bmatrix} \begin{vmatrix} -1 & 0 \\ 3 & -1 \\ \end{vmatrix} & -\begin{vmatrix} 4 & 0 \\ 2 & -1 \\ \end{vmatrix} & \begin{vmatrix} 4 & -1 \\ 2 & 3 \\ \end{vmatrix} \\ -\begin{vmatrix} 0 & 0 \\ 3 & -1 \\ \end{vmatrix} & \begin{vmatrix} 2 & 0 \\ 2 & -1 \\ \end{vmatrix} & -\begin{vmatrix} 2 & 0 \\ 2 & 3 \\ \end{vmatrix} \\ \begin{vmatrix} 0 & 0 \\ -1 & 0 \\ \end{vmatrix} & -\begin{vmatrix} 2 & 0 \\ 4 & 0 \\ \end{vmatrix} & \begin{vmatrix} 2 & 0 \\ 4 & -1 \\ \end{vmatrix} \\ \end{bmatrix} = \begin{bmatrix} 1 & 4 & 14 \\ 0 & -2 & -6 \\ 0 & 0 & -2 \\ \end{bmatrix}.C=[|1031||4021||4123||0031||2021||2023||0010||2040||2041|]=[1414026002].
The adjugate adj ( A ) adj ( A ) “adj”(A)\text{adj}(A)adj(A) is the transpose of C C CCC:
adj ( A ) = [ 1 0 0 4 2 0 14 6 2 ] . adj ( A ) = 1 0 0 4 2 0 14 6 2 . “adj”(A)=[[1,0,0],[4,-2,0],[14,-6,-2]].\text{adj}(A) = \begin{bmatrix} 1 & 0 & 0 \\ 4 & -2 & 0 \\ 14 & -6 & -2 \\ \end{bmatrix}.adj(A)=[1004201462].
Thus, the inverse matrix is:
A 1 = 1 2 [ 1 0 0 4 2 0 14 6 2 ] = [ 1 2 0 0 2 1 0 7 3 1 ] . A 1 = 1 2 1 0 0 4 2 0 14 6 2 = 1 2 0 0 2 1 0 7 3 1 . A^(-1)=(1)/(2)*[[1,0,0],[4,-2,0],[14,-6,-2]]=[[(1)/(2),0,0],[2,-1,0],[7,-3,-1]].A^{-1} = \frac{1}{2} \cdot \begin{bmatrix} 1 & 0 & 0 \\ 4 & -2 & 0 \\ 14 & -6 & -2 \\ \end{bmatrix} = \begin{bmatrix} \frac{1}{2} & 0 & 0 \\ 2 & -1 & 0 \\ 7 & -3 & -1 \\ \end{bmatrix}.A1=12[1004201462]=[1200210731].

5. Expression for T 1 T 1 T^(-1)T^{-1}T1:

Using A 1 A 1 A^(-1)A^{-1}A1, the inverse operator T 1 T 1 T^(-1)T^{-1}T1 is given by:
T 1 ( x , y , z ) = ( 1 2 x , 2 x y , 7 x 3 y z ) . T 1 ( x , y , z ) = 1 2 x , 2 x y , 7 x 3 y z . T^(-1)(x,y,z)=((1)/(2)x,2x-y,7x-3y-z).T^{-1}(x, y, z) = \left( \frac{1}{2}x, \, 2x – y, \, 7x – 3y – z \right).T1(x,y,z)=(12x,2xy,7x3yz).

Verification:

To ensure correctness, let’s verify T T 1 = I T T 1 = I T@T^(-1)=IT \circ T^{-1} = ITT1=I:
T ( 1 2 x , 2 x y , 7 x 3 y z ) = ( 2 1 2 x , 4 1 2 x ( 2 x y ) , 2 1 2 x + 3 ( 2 x y ) ( 7 x 3 y z ) ) . T 1 2 x , 2 x y , 7 x 3 y z = 2 1 2 x , 4 1 2 x ( 2 x y ) , 2 1 2 x + 3 ( 2 x y ) ( 7 x 3 y z ) . T((1)/(2)x,2x-y,7x-3y-z)=(2*(1)/(2)x,4*(1)/(2)x-(2x-y),2*(1)/(2)x+3(2x-y)-(7x-3y-z)).T\left( \frac{1}{2}x, \, 2x – y, \, 7x – 3y – z \right) = \left( 2 \cdot \frac{1}{2}x, \, 4 \cdot \frac{1}{2}x – (2x – y), \, 2 \cdot \frac{1}{2}x + 3(2x – y) – (7x – 3y – z) \right).T(12x,2xy,7x3yz)=(212x,412x(2xy),212x+3(2xy)(7x3yz)).
Simplifying:
= ( x , 2 x 2 x + y , x + 6 x 3 y 7 x + 3 y + z ) = ( x , y , z ) . = x , 2 x 2 x + y , x + 6 x 3 y 7 x + 3 y + z = ( x , y , z ) . =(x,2x-2x+y,x+6x-3y-7x+3y+z)=(x,y,z).= \left( x, \, 2x – 2x + y, \, x + 6x – 3y – 7x + 3y + z \right) = (x, y, z).=(x,2x2x+y,x+6x3y7x+3y+z)=(x,y,z).
Thus, T 1 T 1 T^(-1)T^{-1}T1 is indeed the inverse of T T TTT.

Final Answer:

T 1 ( x , y , z ) = ( 1 2 x , 2 x y , 7 x 3 y z ) T 1 ( x , y , z ) = 1 2 x , 2 x y , 7 x 3 y z T^(-1)(x,y,z)=((1)/(2)x,2x-y,7x-3y-z)\boxed{T^{-1}(x, y, z) = \left( \frac{1}{2}x, \, 2x – y, \, 7x – 3y – z \right)}T1(x,y,z)=(12x,2xy,7x3yz)

Question:-2(b)

If u = x + y 1 x y u = x + y 1 x y u=(x+y)/(1-xy)u=\dfrac{x+y}{1-xy}u=x+y1xy and v = tan 1 x + tan 1 y v = tan 1 x + tan 1 y v=tan^(-1)x+tan^(-1)yv=\tan^{-1}x+\tan^{-1}yv=tan1x+tan1y, then find ( u , v ) / ( x , y ) ( u , v ) / ( x , y ) del(u,v)//del(x,y)\partial(u,v)/\partial(x,y)(u,v)/(x,y). Are u u uuu and v v vvv functionally related? If yes, find the relationship.

Answer:

To solve the problem, we’ll follow these steps:

Given:

u = x + y 1 x y , v = tan 1 x + tan 1 y . u = x + y 1 x y , v = tan 1 x + tan 1 y . u=(x+y)/(1-xy),quad v=tan^(-1)x+tan^(-1)y.u = \frac{x + y}{1 – xy}, \quad v = \tan^{-1}x + \tan^{-1}y.u=x+y1xy,v=tan1x+tan1y.

Step 1: Compute the Jacobian ( u , v ) ( x , y ) ( u , v ) ( x , y ) (del(u,v))/(del(x,y))\frac{\partial(u, v)}{\partial(x, y)}(u,v)(x,y)

The Jacobian determinant is given by:
( u , v ) ( x , y ) = | u x u y v x v y | . ( u , v ) ( x , y ) = u x u y v x v y . (del(u,v))/(del(x,y))=|[(del u)/(del x),(del u)/(del y)],[(del v)/(del x),(del v)/(del y)]|.\frac{\partial(u, v)}{\partial(x, y)} = \begin{vmatrix} \frac{\partial u}{\partial x} & \frac{\partial u}{\partial y} \\ \frac{\partial v}{\partial x} & \frac{\partial v}{\partial y} \end{vmatrix}.(u,v)(x,y)=|uxuyvxvy|.

Partial Derivatives of u u uuu:

u x = ( 1 ) ( 1 x y ) ( x + y ) ( y ) ( 1 x y ) 2 = 1 x y + x y + y 2 ( 1 x y ) 2 = 1 + y 2 ( 1 x y ) 2 , u x = ( 1 ) ( 1 x y ) ( x + y ) ( y ) ( 1 x y ) 2 = 1 x y + x y + y 2 ( 1 x y ) 2 = 1 + y 2 ( 1 x y ) 2 , (del u)/(del x)=((1)(1-xy)-(x+y)(-y))/((1-xy)^(2))=(1-xy+xy+y^(2))/((1-xy)^(2))=(1+y^(2))/((1-xy)^(2)),\frac{\partial u}{\partial x} = \frac{(1)(1 – xy) – (x + y)(-y)}{(1 – xy)^2} = \frac{1 – xy + xy + y^2}{(1 – xy)^2} = \frac{1 + y^2}{(1 – xy)^2},ux=(1)(1xy)(x+y)(y)(1xy)2=1xy+xy+y2(1xy)2=1+y2(1xy)2,
u y = ( 1 ) ( 1 x y ) ( x + y ) ( x ) ( 1 x y ) 2 = 1 x y + x 2 + x y ( 1 x y ) 2 = 1 + x 2 ( 1 x y ) 2 . u y = ( 1 ) ( 1 x y ) ( x + y ) ( x ) ( 1 x y ) 2 = 1 x y + x 2 + x y ( 1 x y ) 2 = 1 + x 2 ( 1 x y ) 2 . (del u)/(del y)=((1)(1-xy)-(x+y)(-x))/((1-xy)^(2))=(1-xy+x^(2)+xy)/((1-xy)^(2))=(1+x^(2))/((1-xy)^(2)).\frac{\partial u}{\partial y} = \frac{(1)(1 – xy) – (x + y)(-x)}{(1 – xy)^2} = \frac{1 – xy + x^2 + xy}{(1 – xy)^2} = \frac{1 + x^2}{(1 – xy)^2}.uy=(1)(1xy)(x+y)(x)(1xy)2=1xy+x2+xy(1xy)2=1+x2(1xy)2.

Partial Derivatives of v v vvv:

v x = 1 1 + x 2 , v y = 1 1 + y 2 . v x = 1 1 + x 2 , v y = 1 1 + y 2 . (del v)/(del x)=(1)/(1+x^(2)),quad(del v)/(del y)=(1)/(1+y^(2)).\frac{\partial v}{\partial x} = \frac{1}{1 + x^2}, \quad \frac{\partial v}{\partial y} = \frac{1}{1 + y^2}.vx=11+x2,vy=11+y2.

Compute the Jacobian Determinant:

( u , v ) ( x , y ) = | 1 + y 2 ( 1 x y ) 2 1 + x 2 ( 1 x y ) 2 1 1 + x 2 1 1 + y 2 | . ( u , v ) ( x , y ) = 1 + y 2 ( 1 x y ) 2 1 + x 2 ( 1 x y ) 2 1 1 + x 2 1 1 + y 2 . (del(u,v))/(del(x,y))=|[(1+y^(2))/((1-xy)^(2)),(1+x^(2))/((1-xy)^(2))],[(1)/(1+x^(2)),(1)/(1+y^(2))]|.\frac{\partial(u, v)}{\partial(x, y)} = \begin{vmatrix} \frac{1 + y^2}{(1 – xy)^2} & \frac{1 + x^2}{(1 – xy)^2} \\ \frac{1}{1 + x^2} & \frac{1}{1 + y^2} \end{vmatrix}.(u,v)(x,y)=|1+y2(1xy)21+x2(1xy)211+x211+y2|.
= ( 1 + y 2 ( 1 x y ) 2 ) ( 1 1 + y 2 ) ( 1 + x 2 ( 1 x y ) 2 ) ( 1 1 + x 2 ) , = 1 + y 2 ( 1 x y ) 2 1 1 + y 2 1 + x 2 ( 1 x y ) 2 1 1 + x 2 , =((1+y^(2))/((1-xy)^(2)))((1)/(1+y^(2)))-((1+x^(2))/((1-xy)^(2)))((1)/(1+x^(2))),= \left( \frac{1 + y^2}{(1 – xy)^2} \right) \left( \frac{1}{1 + y^2} \right) – \left( \frac{1 + x^2}{(1 – xy)^2} \right) \left( \frac{1}{1 + x^2} \right),=(1+y2(1xy)2)(11+y2)(1+x2(1xy)2)(11+x2),
= 1 ( 1 x y ) 2 1 ( 1 x y ) 2 = 0. = 1 ( 1 x y ) 2 1 ( 1 x y ) 2 = 0. =(1)/((1-xy)^(2))-(1)/((1-xy)^(2))=0.= \frac{1}{(1 – xy)^2} – \frac{1}{(1 – xy)^2} = 0.=1(1xy)21(1xy)2=0.

Step 2: Determine Functional Relationship

Since the Jacobian determinant is zero, u u uuu and v v vvv are functionally dependent. This means there exists a relationship between u u uuu and v v vvv.

Find the Relationship:

Recall that:
v = tan 1 x + tan 1 y . v = tan 1 x + tan 1 y . v=tan^(-1)x+tan^(-1)y.v = \tan^{-1}x + \tan^{-1}y.v=tan1x+tan1y.
Using the tangent addition formula:
tan ( v ) = tan ( tan 1 x + tan 1 y ) = x + y 1 x y = u . tan ( v ) = tan ( tan 1 x + tan 1 y ) = x + y 1 x y = u . tan(v)=tan(tan^(-1)x+tan^(-1)y)=(x+y)/(1-xy)=u.\tan(v) = \tan(\tan^{-1}x + \tan^{-1}y) = \frac{x + y}{1 – xy} = u.tan(v)=tan(tan1x+tan1y)=x+y1xy=u.
Thus, the relationship is:
u = tan ( v ) . u = tan ( v ) . u=tan(v).u = \tan(v).u=tan(v).

Final Answer:

( u , v ) ( x , y ) = 0 , Relationship: u = tan ( v ) . ( u , v ) ( x , y ) = 0 , Relationship:  u = tan ( v ) . [(del(u,v))/(del(x,y))=0″,”],[“Relationship: “u=tan(v).]\boxed{ \begin{aligned} \frac{\partial(u, v)}{\partial(x, y)} &= 0, \\ \text{Relationship: } u &= \tan(v). \end{aligned} }(u,v)(x,y)=0,Relationship: u=tan(v).

Question:-2(c)

Find the image of the line x = 3 6 t , y = 2 t , z = 3 + 2 t x = 3 6 t , y = 2 t , z = 3 + 2 t x=3-6t,y=2t,z=3+2tx=3-6t,\; y=2t,\; z=3+2tx=36t,y=2t,z=3+2t in the plane 3 x + 4 y 5 z + 26 = 0 3 x + 4 y 5 z + 26 = 0 3x+4y-5z+26=03x+4y-5z+26=03x+4y5z+26=0.

Answer:

To find the image of the line x = 3 6 t x = 3 6 t x=3-6tx = 3 – 6tx=36t, y = 2 t y = 2 t y=2ty = 2ty=2t, z = 3 + 2 t z = 3 + 2 t z=3+2tz = 3 + 2tz=3+2t in the plane 3 x + 4 y 5 z + 26 = 0 3 x + 4 y 5 z + 26 = 0 3x+4y-5z+26=03x + 4y – 5z + 26 = 03x+4y5z+26=0, we interpret the "image" as the reflection of the line over the plane. The reflection of a line in a plane is the set of points obtained by reflecting each point on the line across the plane. Since the line is in R 3 R 3 R^(3)\mathbb{R}^3R3 and the plane is a two-dimensional subspace, the reflection is another line. We will find the parametric equations of the reflected line by reflecting a point on the line and determining the direction of the reflected line.

Step 1: Understand the Line and Plane

The line is given parametrically as:
x = 3 6 t , y = 2 t , z = 3 + 2 t x = 3 6 t , y = 2 t , z = 3 + 2 t x=3-6t,quad y=2t,quad z=3+2tx = 3 – 6t, \quad y = 2t, \quad z = 3 + 2tx=36t,y=2t,z=3+2t
A point on the line at parameter t t ttt is ( 3 6 t , 2 t , 3 + 2 t ) ( 3 6 t , 2 t , 3 + 2 t ) (3-6t,2t,3+2t)(3 – 6t, 2t, 3 + 2t)(36t,2t,3+2t). The direction vector of the line is obtained from the coefficients of t t ttt:
d = ( 6 , 2 , 2 ) d = ( 6 , 2 , 2 ) vec(d)=(-6,2,2)\vec{d} = (-6, 2, 2)d=(6,2,2)
The plane is:
3 x + 4 y 5 z + 26 = 0 3 x + 4 y 5 z + 26 = 0 3x+4y-5z+26=03x + 4y – 5z + 26 = 03x+4y5z+26=0
The normal vector to the plane is:
n = ( 3 , 4 , 5 ) n = ( 3 , 4 , 5 ) vec(n)=(3,4,-5)\vec{n} = (3, 4, -5)n=(3,4,5)

Step 2: Reflection of a Point

To find the reflected line, we can reflect a specific point on the line and determine the direction of the reflected line. Choose a point on the line, say at t = 0 t = 0 t=0t = 0t=0:
( 3 , 0 , 3 ) ( 3 , 0 , 3 ) (3,0,3)(3, 0, 3)(3,0,3)
Verify if this point lies on the plane (though not necessary, it helps understand the geometry):
3 3 + 4 0 5 3 + 26 = 9 + 0 15 + 26 = 20 0 3 3 + 4 0 5 3 + 26 = 9 + 0 15 + 26 = 20 0 3*3+4*0-5*3+26=9+0-15+26=20!=03 \cdot 3 + 4 \cdot 0 – 5 \cdot 3 + 26 = 9 + 0 – 15 + 26 = 20 \neq 033+4053+26=9+015+26=200
The point is not on the plane, so we proceed to find its reflection.
The reflection of a point P = ( x 0 , y 0 , z 0 ) P = ( x 0 , y 0 , z 0 ) P=(x_(0),y_(0),z_(0))P = (x_0, y_0, z_0)P=(x0,y0,z0) across the plane involves finding the foot of the perpendicular from P P PPP to the plane (the midpoint of P P PPP and its image P P P^(‘)P’P) and then extending to P P P^(‘)P’P.
  • Line from P ( 3 , 0 , 3 ) P ( 3 , 0 , 3 ) P(3,0,3)P(3, 0, 3)P(3,0,3) to the plane: The line through P P PPP parallel to the normal n = ( 3 , 4 , 5 ) n = ( 3 , 4 , 5 ) vec(n)=(3,4,-5)\vec{n} = (3, 4, -5)n=(3,4,5) is:
    x = 3 + 3 s , y = 0 + 4 s , z = 3 5 s x = 3 + 3 s , y = 0 + 4 s , z = 3 5 s x=3+3s,quad y=0+4s,quad z=3-5sx = 3 + 3s, \quad y = 0 + 4s, \quad z = 3 – 5sx=3+3s,y=0+4s,z=35s
  • Intersection with the plane: Substitute into the plane equation:
    3 ( 3 + 3 s ) + 4 ( 4 s ) 5 ( 3 5 s ) + 26 = 0 3 ( 3 + 3 s ) + 4 ( 4 s ) 5 ( 3 5 s ) + 26 = 0 3(3+3s)+4(4s)-5(3-5s)+26=03(3 + 3s) + 4(4s) – 5(3 – 5s) + 26 = 03(3+3s)+4(4s)5(35s)+26=0
    9 + 9 s + 16 s 15 + 25 s + 26 = 0 9 + 9 s + 16 s 15 + 25 s + 26 = 0 9+9s+16 s-15+25 s+26=09 + 9s + 16s – 15 + 25s + 26 = 09+9s+16s15+25s+26=0
    50 s + 20 = 0 s = 20 50 = 2 5 50 s + 20 = 0 s = 20 50 = 2 5 50 s+20=0Longrightarrows=-(20)/(50)=-(2)/(5)50s + 20 = 0 \implies s = -\frac{20}{50} = -\frac{2}{5}50s+20=0s=2050=25
  • Foot of the perpendicular (point Q Q QQQ):
    x = 3 + 3 ( 2 5 ) = 3 6 5 = 9 5 x = 3 + 3 2 5 = 3 6 5 = 9 5 x=3+3*(-(2)/(5))=3-(6)/(5)=(9)/(5)x = 3 + 3 \cdot \left(-\frac{2}{5}\right) = 3 – \frac{6}{5} = \frac{9}{5}x=3+3(25)=365=95
    y = 4 ( 2 5 ) = 8 5 y = 4 2 5 = 8 5 y=4*(-(2)/(5))=-(8)/(5)y = 4 \cdot \left(-\frac{2}{5}\right) = -\frac{8}{5}y=4(25)=85
    z = 3 5 ( 2 5 ) = 3 + 2 = 5 z = 3 5 2 5 = 3 + 2 = 5 z=3-5*(-(2)/(5))=3+2=5z = 3 – 5 \cdot \left(-\frac{2}{5}\right) = 3 + 2 = 5z=35(25)=3+2=5
    So, Q = ( 9 5 , 8 5 , 5 ) Q = 9 5 , 8 5 , 5 Q=((9)/(5),-(8)/(5),5)Q = \left( \frac{9}{5}, -\frac{8}{5}, 5 \right)Q=(95,85,5).
  • Find the reflected point P P P^(‘)P’P: The foot Q Q QQQ is the midpoint of P ( 3 , 0 , 3 ) P ( 3 , 0 , 3 ) P(3,0,3)P(3, 0, 3)P(3,0,3) and P ( x , y , z ) P ( x , y , z ) P^(‘)(x^(‘),y^(‘),z^(‘))P'(x’, y’, z’)P(x,y,z). Using the midpoint formula:
    3 + x 2 = 9 5 3 + x = 18 5 x = 18 5 3 = 18 5 15 5 = 3 5 3 + x 2 = 9 5 3 + x = 18 5 x = 18 5 3 = 18 5 15 5 = 3 5 (3+x^(‘))/(2)=(9)/(5)Longrightarrow3+x^(‘)=(18)/(5)Longrightarrowx^(‘)=(18)/(5)-3=(18)/(5)-(15)/(5)=(3)/(5)\frac{3 + x’}{2} = \frac{9}{5} \implies 3 + x’ = \frac{18}{5} \implies x’ = \frac{18}{5} – 3 = \frac{18}{5} – \frac{15}{5} = \frac{3}{5}3+x2=953+x=185x=1853=185155=35
    0 + y 2 = 8 5 y = 16 5 0 + y 2 = 8 5 y = 16 5 (0+y^(‘))/(2)=-(8)/(5)Longrightarrowy^(‘)=-(16)/(5)\frac{0 + y’}{2} = -\frac{8}{5} \implies y’ = -\frac{16}{5}0+y2=85y=165
    3 + z 2 = 5 3 + z = 10 z = 7 3 + z 2 = 5 3 + z = 10 z = 7 (3+z^(‘))/(2)=5Longrightarrow3+z^(‘)=10Longrightarrowz^(‘)=7\frac{3 + z’}{2} = 5 \implies 3 + z’ = 10 \implies z’ = 73+z2=53+z=10z=7
    So, the reflected point is:
    P = ( 3 5 , 16 5 , 7 ) P = 3 5 , 16 5 , 7 P^(‘)=((3)/(5),-(16)/(5),7)P’ = \left( \frac{3}{5}, -\frac{16}{5}, 7 \right)P=(35,165,7)

Step 3: Direction of the Reflected Line

The reflected line has a direction vector obtained by reflecting the original line’s direction vector d = ( 6 , 2 , 2 ) d = ( 6 , 2 , 2 ) vec(d)=(-6,2,2)\vec{d} = (-6, 2, 2)d=(6,2,2) across the plane. The reflection of a vector v v vec(v)\vec{v}v across a plane with normal n n vec(n)\vec{n}n is given by:
v = v 2 v n n 2 n v = v 2 v n n 2 n vec(v)^(‘)= vec(v)-2(( vec(v))*( vec(n)))/(||( vec(n))||^(2)) vec(n)\vec{v}’ = \vec{v} – 2 \frac{\vec{v} \cdot \vec{n}}{\|\vec{n}\|^2} \vec{n}v=v2vnn2n
  • Compute v n v n vec(v)* vec(n)\vec{v} \cdot \vec{n}vn: d n = ( 6 ) 3 + 2 4 + 2 ( 5 ) = 18 + 8 10 = 20 d n = ( 6 ) 3 + 2 4 + 2 ( 5 ) = 18 + 8 10 = 20 vec(d)* vec(n)=(-6)*3+2*4+2*(-5)=-18+8-10=-20\vec{d} \cdot \vec{n} = (-6) \cdot 3 + 2 \cdot 4 + 2 \cdot (-5) = -18 + 8 – 10 = -20dn=(6)3+24+2(5)=18+810=20
  • Compute n 2 n 2 || vec(n)||^(2)\|\vec{n}\|^2n2: n 2 = 3 2 + 4 2 + ( 5 ) 2 = 9 + 16 + 25 = 50 n 2 = 3 2 + 4 2 + ( 5 ) 2 = 9 + 16 + 25 = 50 || vec(n)||^(2)=3^(2)+4^(2)+(-5)^(2)=9+16+25=50\|\vec{n}\|^2 = 3^2 + 4^2 + (-5)^2 = 9 + 16 + 25 = 50n2=32+42+(5)2=9+16+25=50
  • Compute the projection term: 2 d n n 2 n = 2 20 50 ( 3 , 4 , 5 ) = 40 50 ( 3 , 4 , 5 ) = 4 5 ( 3 , 4 , 5 ) = ( 12 5 , 16 5 , 4 ) 2 d n n 2 n = 2 20 50 ( 3 , 4 , 5 ) = 40 50 ( 3 , 4 , 5 ) = 4 5 ( 3 , 4 , 5 ) = 12 5 , 16 5 , 4 2(( vec(d))*( vec(n)))/(||( vec(n))||^(2)) vec(n)=2*(-20)/(50)*(3,4,-5)=-(40)/(50)*(3,4,-5)=-(4)/(5)*(3,4,-5)=(-(12)/(5),-(16)/(5),4)2 \frac{\vec{d} \cdot \vec{n}}{\|\vec{n}\|^2} \vec{n} = 2 \cdot \frac{-20}{50} \cdot (3, 4, -5) = -\frac{40}{50} \cdot (3, 4, -5) = -\frac{4}{5} \cdot (3, 4, -5) = \left( -\frac{12}{5}, -\frac{16}{5}, 4 \right)2dnn2n=22050(3,4,5)=4050(3,4,5)=45(3,4,5)=(125,165,4)
  • Reflected direction vector: d = ( 6 , 2 , 2 ) ( 12 5 , 16 5 , 4 ) = ( 6 + 12 5 , 2 + 16 5 , 2 4 ) d = ( 6 , 2 , 2 ) 12 5 , 16 5 , 4 = 6 + 12 5 , 2 + 16 5 , 2 4 vec(d)^(‘)=(-6,2,2)-(-(12)/(5),-(16)/(5),4)=(-6+(12)/(5),2+(16)/(5),2-4)\vec{d}’ = (-6, 2, 2) – \left( -\frac{12}{5}, -\frac{16}{5}, 4 \right) = \left( -6 + \frac{12}{5}, 2 + \frac{16}{5}, 2 – 4 \right)d=(6,2,2)(125,165,4)=(6+125,2+165,24) = ( 30 5 + 12 5 , 10 5 + 16 5 , 2 ) = ( 18 5 , 26 5 , 2 ) = 30 5 + 12 5 , 10 5 + 16 5 , 2 = 18 5 , 26 5 , 2 =(-(30)/(5)+(12)/(5),(10)/(5)+(16)/(5),-2)=(-(18)/(5),(26)/(5),-2)= \left( -\frac{30}{5} + \frac{12}{5}, \frac{10}{5} + \frac{16}{5}, -2 \right) = \left( -\frac{18}{5}, \frac{26}{5}, -2 \right)=(305+125,105+165,2)=(185,265,2)
Simplify by multiplying by 5 (direction vectors are scalable):
d = ( 18 , 26 , 10 ) d = ( 18 , 26 , 10 ) vec(d)^(‘)=(-18,26,-10)\vec{d}’ = (-18, 26, -10)d=(18,26,10)

Step 4: Parametric Equations of the Reflected Line

The reflected line passes through P = ( 3 5 , 16 5 , 7 ) P = 3 5 , 16 5 , 7 P^(‘)=((3)/(5),-(16)/(5),7)P’ = \left( \frac{3}{5}, -\frac{16}{5}, 7 \right)P=(35,165,7) with direction vector ( 18 , 26 , 10 ) ( 18 , 26 , 10 ) (-18,26,-10)(-18, 26, -10)(18,26,10). Parametric equations are:
x = 3 5 18 u , y = 16 5 + 26 u , z = 7 10 u x = 3 5 18 u , y = 16 5 + 26 u , z = 7 10 u x=(3)/(5)-18 u,quad y=-(16)/(5)+26 u,quad z=7-10 ux = \frac{3}{5} – 18u, \quad y = -\frac{16}{5} + 26u, \quad z = 7 – 10ux=3518u,y=165+26u,z=710u
To make coefficients integers, use a parameter s = 5 u s = 5 u s=5us = 5us=5u:
x = 3 5 18 5 s , y = 16 5 + 26 5 s , z = 7 10 5 s = 7 2 s x = 3 5 18 5 s , y = 16 5 + 26 5 s , z = 7 10 5 s = 7 2 s x=(3)/(5)-(18)/(5)s,quad y=-(16)/(5)+(26)/(5)s,quad z=7-(10)/(5)s=7-2sx = \frac{3}{5} – \frac{18}{5}s, \quad y = -\frac{16}{5} + \frac{26}{5}s, \quad z = 7 – \frac{10}{5}s = 7 – 2sx=35185s,y=165+265s,z=7105s=72s
x = 3 18 s 5 , y = 16 + 26 s 5 , z = 7 2 s x = 3 18 s 5 , y = 16 + 26 s 5 , z = 7 2 s x=(3-18 s)/(5),quad y=(-16+26 s)/(5),quad z=7-2sx = \frac{3 – 18s}{5}, \quad y = \frac{-16 + 26s}{5}, \quad z = 7 – 2sx=318s5,y=16+26s5,z=72s
Alternatively, write as:
x = 3 5 18 5 s , y = 16 5 + 26 5 s , z = 7 2 s x = 3 5 18 5 s , y = 16 5 + 26 5 s , z = 7 2 s x=(3)/(5)-(18)/(5)s,quad y=-(16)/(5)+(26)/(5)s,quad z=7-2sx = \frac{3}{5} – \frac{18}{5}s, \quad y = -\frac{16}{5} + \frac{26}{5}s, \quad z = 7 – 2sx=35185s,y=165+265s,z=72s

Step 5: Verify the Reflection

  • Check if P P P^(‘)P’P is the reflection: The midpoint Q Q QQQ is correct, and the vector from Q Q QQQ to P P P^(‘)P’P should be opposite to Q Q QQQ to P P PPP, adjusted by the normal. This was computed correctly.
  • Check if the reflected line is consistent: Reflect another point, e.g., at t = 1 t = 1 t=1t = 1t=1: P 1 = ( 3 6 , 2 , 3 + 2 ) = ( 3 , 2 , 5 ) P 1 = ( 3 6 , 2 , 3 + 2 ) = ( 3 , 2 , 5 ) P_(1)=(3-6,2,3+2)=(-3,2,5)P_1 = (3 – 6, 2, 3 + 2) = (-3, 2, 5)P1=(36,2,3+2)=(3,2,5)This computation is complex, so instead, verify the direction vector by ensuring the reflected line is consistent with the plane’s geometry. The reflected direction should satisfy symmetry across the plane, which we’ve computed.

Final Answer

The image (reflection) of the line is:
x = 3 18 s 5 , y = 16 + 26 s 5 , z = 7 2 s x = 3 18 s 5 , y = 16 + 26 s 5 , z = 7 2 s x=(3-18 s)/(5),quad y=(-16+26 s)/(5),quad z=7-2s\boxed{x = \frac{3 – 18s}{5}, \quad y = \frac{-16 + 26s}{5}, \quad z = 7 – 2s}x=318s5,y=16+26s5,z=72s

Question:-3(a)

Let V = M 2 × 2 ( R ) V = M 2 × 2 ( R ) V=M_(2xx2)(R)V=M_{2 \times 2}(\mathbb{R})V=M2×2(R) denote a vector space over the field of real numbers. Find the matrix of the linear mapping ϕ : V V ϕ : V V phi:V rarr V\phi: V \rightarrow Vϕ:VV given by

ϕ ( v ) = ( 1 2 3 1 ) v ϕ ( v ) = 1 2 3 1 v phi(v)=([1,2],[3,-1])v\phi(v)= \begin{pmatrix} 1 & 2\\ 3 & -1 \end{pmatrix}vϕ(v)=(1231)v
with respect to the standard basis of M 2 × 2 ( R ) M 2 × 2 ( R ) M_(2xx2)(R)M_{2 \times 2}(\mathbb{R})M2×2(R), and hence find the rank of ϕ ϕ phi\phiϕ. Is ϕ ϕ phi\phiϕ invertible? Justify your answer.

Answer:

To solve the problem, we need to find the matrix representation of the linear mapping ϕ : M 2 × 2 ( R ) M 2 × 2 ( R ) ϕ : M 2 × 2 ( R ) M 2 × 2 ( R ) phi:M_(2xx2)(R)rarrM_(2xx2)(R)\phi: M_{2 \times 2}(\mathbb{R}) \to M_{2 \times 2}(\mathbb{R})ϕ:M2×2(R)M2×2(R) defined by ϕ ( v ) = ( 1 2 3 1 ) v ϕ ( v ) = 1 2 3 1 v phi(v)=([1,2],[3,-1])v\phi(v) = \begin{pmatrix} 1 & 2 \\ 3 & -1 \end{pmatrix} vϕ(v)=(1231)v, where v M 2 × 2 ( R ) v M 2 × 2 ( R ) v inM_(2xx2)(R)v \in M_{2 \times 2}(\mathbb{R})vM2×2(R) is a 2×2 matrix, with respect to the standard basis of M 2 × 2 ( R ) M 2 × 2 ( R ) M_(2xx2)(R)M_{2 \times 2}(\mathbb{R})M2×2(R). We then determine the rank of ϕ ϕ phi\phiϕ and check if ϕ ϕ phi\phiϕ is invertible. Let’s proceed step by step.

Step 1: Understand the Vector Space and Basis

The vector space M 2 × 2 ( R ) M 2 × 2 ( R ) M_(2xx2)(R)M_{2 \times 2}(\mathbb{R})M2×2(R) consists of all 2×2 matrices over R R R\mathbb{R}R, and it has dimension 4 (since each matrix has 4 entries). The standard basis for M 2 × 2 ( R ) M 2 × 2 ( R ) M_(2xx2)(R)M_{2 \times 2}(\mathbb{R})M2×2(R) is:
E 11 = ( 1 0 0 0 ) , E 12 = ( 0 1 0 0 ) , E 21 = ( 0 0 1 0 ) , E 22 = ( 0 0 0 1 ) E 11 = 1 0 0 0 , E 12 = 0 1 0 0 , E 21 = 0 0 1 0 , E 22 = 0 0 0 1 E_(11)=([1,0],[0,0]),quadE_(12)=([0,1],[0,0]),quadE_(21)=([0,0],[1,0]),quadE_(22)=([0,0],[0,1])E_{11} = \begin{pmatrix} 1 & 0 \\ 0 & 0 \end{pmatrix}, \quad E_{12} = \begin{pmatrix} 0 & 1 \\ 0 & 0 \end{pmatrix}, \quad E_{21} = \begin{pmatrix} 0 & 0 \\ 1 & 0 \end{pmatrix}, \quad E_{22} = \begin{pmatrix} 0 & 0 \\ 0 & 1 \end{pmatrix}E11=(1000),E12=(0100),E21=(0010),E22=(0001)
A general matrix v = ( a b c d ) v = a b c d v=([a,b],[c,d])v = \begin{pmatrix} a & b \\ c & d \end{pmatrix}v=(abcd) can be written as:
v = a E 11 + b E 12 + c E 21 + d E 22 v = a E 11 + b E 12 + c E 21 + d E 22 v=aE_(11)+bE_(12)+cE_(21)+dE_(22)v = a E_{11} + b E_{12} + c E_{21} + d E_{22}v=aE11+bE12+cE21+dE22
The mapping ϕ ( v ) = A v ϕ ( v ) = A v phi(v)=Av\phi(v) = A vϕ(v)=Av, where A = ( 1 2 3 1 ) A = 1 2 3 1 A=([1,2],[3,-1])A = \begin{pmatrix} 1 & 2 \\ 3 & -1 \end{pmatrix}A=(1231), is a linear transformation from M 2 × 2 ( R ) M 2 × 2 ( R ) M_(2xx2)(R)M_{2 \times 2}(\mathbb{R})M2×2(R) to itself.

Step 2: Compute the Matrix of ϕ ϕ phi\phiϕ

To find the matrix of ϕ ϕ phi\phiϕ with respect to the standard basis { E 11 , E 12 , E 21 , E 22 } { E 11 , E 12 , E 21 , E 22 } {E_(11),E_(12),E_(21),E_(22)}\{E_{11}, E_{12}, E_{21}, E_{22}\}{E11,E12,E21,E22}, we apply ϕ ϕ phi\phiϕ to each basis element and express the result as a linear combination of the basis elements. The coefficients form the columns of the matrix representation. Since M 2 × 2 ( R ) M 2 × 2 ( R ) M_(2xx2)(R)M_{2 \times 2}(\mathbb{R})M2×2(R) is isomorphic to R 4 R 4 R^(4)\mathbb{R}^4R4, we can represent matrices as vectors by stacking their entries, but we’ll work directly with matrices for clarity.
Let’s compute ϕ ( E i j ) = A E i j ϕ ( E i j ) = A E i j phi(E_(ij))=AE_(ij)\phi(E_{ij}) = A E_{ij}ϕ(Eij)=AEij.
  • For E 11 = ( 1 0 0 0 ) E 11 = 1 0 0 0 E_(11)=([1,0],[0,0])E_{11} = \begin{pmatrix} 1 & 0 \\ 0 & 0 \end{pmatrix}E11=(1000):
    ϕ ( E 11 ) = ( 1 2 3 1 ) ( 1 0 0 0 ) = ( 1 1 + 2 0 1 0 + 2 0 3 1 + ( 1 ) 0 3 0 + ( 1 ) 0 ) = ( 1 0 3 0 ) ϕ ( E 11 ) = 1 2 3 1 1 0 0 0 = 1 1 + 2 0 1 0 + 2 0 3 1 + ( 1 ) 0 3 0 + ( 1 ) 0 = 1 0 3 0 phi(E_(11))=([1,2],[3,-1])([1,0],[0,0])=([1*1+2*0,1*0+2*0],[3*1+(-1)*0,3*0+(-1)*0])=([1,0],[3,0])\phi(E_{11}) = \begin{pmatrix} 1 & 2 \\ 3 & -1 \end{pmatrix} \begin{pmatrix} 1 & 0 \\ 0 & 0 \end{pmatrix} = \begin{pmatrix} 1 \cdot 1 + 2 \cdot 0 & 1 \cdot 0 + 2 \cdot 0 \\ 3 \cdot 1 + (-1) \cdot 0 & 3 \cdot 0 + (-1) \cdot 0 \end{pmatrix} = \begin{pmatrix} 1 & 0 \\ 3 & 0 \end{pmatrix}ϕ(E11)=(1231)(1000)=(11+2010+2031+(1)030+(1)0)=(1030)
    Express in the basis:
    ( 1 0 3 0 ) = 1 E 11 + 0 E 12 + 3 E 21 + 0 E 22 1 0 3 0 = 1 E 11 + 0 E 12 + 3 E 21 + 0 E 22 ([1,0],[3,0])=1*E_(11)+0*E_(12)+3*E_(21)+0*E_(22)\begin{pmatrix} 1 & 0 \\ 3 & 0 \end{pmatrix} = 1 \cdot E_{11} + 0 \cdot E_{12} + 3 \cdot E_{21} + 0 \cdot E_{22}(1030)=1E11+0E12+3E21+0E22
    Column 1: ( 1 , 0 , 3 , 0 ) ( 1 , 0 , 3 , 0 ) (1,0,3,0)(1, 0, 3, 0)(1,0,3,0).
  • For E 12 = ( 0 1 0 0 ) E 12 = 0 1 0 0 E_(12)=([0,1],[0,0])E_{12} = \begin{pmatrix} 0 & 1 \\ 0 & 0 \end{pmatrix}E12=(0100):
    ϕ ( E 12 ) = ( 1 2 3 1 ) ( 0 1 0 0 ) = ( 1 0 + 2 0 1 1 + 2 0 3 0 + ( 1 ) 0 3 1 + ( 1 ) 0 ) = ( 0 1 0 3 ) ϕ ( E 12 ) = 1 2 3 1 0 1 0 0 = 1 0 + 2 0 1 1 + 2 0 3 0 + ( 1 ) 0 3 1 + ( 1 ) 0 = 0 1 0 3 phi(E_(12))=([1,2],[3,-1])([0,1],[0,0])=([1*0+2*0,1*1+2*0],[3*0+(-1)*0,3*1+(-1)*0])=([0,1],[0,3])\phi(E_{12}) = \begin{pmatrix} 1 & 2 \\ 3 & -1 \end{pmatrix} \begin{pmatrix} 0 & 1 \\ 0 & 0 \end{pmatrix} = \begin{pmatrix} 1 \cdot 0 + 2 \cdot 0 & 1 \cdot 1 + 2 \cdot 0 \\ 3 \cdot 0 + (-1) \cdot 0 & 3 \cdot 1 + (-1) \cdot 0 \end{pmatrix} = \begin{pmatrix} 0 & 1 \\ 0 & 3 \end{pmatrix}ϕ(E12)=(1231)(0100)=(10+2011+2030+(1)031+(1)0)=(0103)
    ( 0 1 0 3 ) = 0 E 11 + 1 E 12 + 0 E 21 + 3 E 22 0 1 0 3 = 0 E 11 + 1 E 12 + 0 E 21 + 3 E 22 ([0,1],[0,3])=0*E_(11)+1*E_(12)+0*E_(21)+3*E_(22)\begin{pmatrix} 0 & 1 \\ 0 & 3 \end{pmatrix} = 0 \cdot E_{11} + 1 \cdot E_{12} + 0 \cdot E_{21} + 3 \cdot E_{22}(0103)=0E11+1E12+0E21+3E22
    Column 2: ( 0 , 1 , 0 , 3 ) ( 0 , 1 , 0 , 3 ) (0,1,0,3)(0, 1, 0, 3)(0,1,0,3).
  • For E 21 = ( 0 0 1 0 ) E 21 = 0 0 1 0 E_(21)=([0,0],[1,0])E_{21} = \begin{pmatrix} 0 & 0 \\ 1 & 0 \end{pmatrix}E21=(0010):
    ϕ ( E 21 ) = ( 1 2 3 1 ) ( 0 0 1 0 ) = ( 1 0 + 2 1 1 0 + 2 0 3 0 + ( 1 ) 1 3 0 + ( 1 ) 0 ) = ( 2 0 1 0 ) ϕ ( E 21 ) = 1 2 3 1 0 0 1 0 = 1 0 + 2 1 1 0 + 2 0 3 0 + ( 1 ) 1 3 0 + ( 1 ) 0 = 2 0 1 0 phi(E_(21))=([1,2],[3,-1])([0,0],[1,0])=([1*0+2*1,1*0+2*0],[3*0+(-1)*1,3*0+(-1)*0])=([2,0],[-1,0])\phi(E_{21}) = \begin{pmatrix} 1 & 2 \\ 3 & -1 \end{pmatrix} \begin{pmatrix} 0 & 0 \\ 1 & 0 \end{pmatrix} = \begin{pmatrix} 1 \cdot 0 + 2 \cdot 1 & 1 \cdot 0 + 2 \cdot 0 \\ 3 \cdot 0 + (-1) \cdot 1 & 3 \cdot 0 + (-1) \cdot 0 \end{pmatrix} = \begin{pmatrix} 2 & 0 \\ -1 & 0 \end{pmatrix}ϕ(E21)=(1231)(0010)=(10+2110+2030+(1)130+(1)0)=(2010)
    ( 2 0 1 0 ) = 2 E 11 + 0 E 12 + ( 1 ) E 21 + 0 E 22 2 0 1 0 = 2 E 11 + 0 E 12 + ( 1 ) E 21 + 0 E 22 ([2,0],[-1,0])=2*E_(11)+0*E_(12)+(-1)*E_(21)+0*E_(22)\begin{pmatrix} 2 & 0 \\ -1 & 0 \end{pmatrix} = 2 \cdot E_{11} + 0 \cdot E_{12} + (-1) \cdot E_{21} + 0 \cdot E_{22}(2010)=2E11+0E12+(1)E21+0E22
    Column 3: ( 2 , 0 , 1 , 0 ) ( 2 , 0 , 1 , 0 ) (2,0,-1,0)(2, 0, -1, 0)(2,0,1,0).
  • For E 22 = ( 0 0 0 1 ) E 22 = 0 0 0 1 E_(22)=([0,0],[0,1])E_{22} = \begin{pmatrix} 0 & 0 \\ 0 & 1 \end{pmatrix}E22=(0001):
    ϕ ( E 22 ) = ( 1 2 3 1 ) ( 0 0 0 1 ) = ( 1 0 + 2 0 1 0 + 2 1 3 0 + ( 1 ) 0 3 0 + ( 1 ) 1 ) = ( 0 2 0 1 ) ϕ ( E 22 ) = 1 2 3 1 0 0 0 1 = 1 0 + 2 0 1 0 + 2 1 3 0 + ( 1 ) 0 3 0 + ( 1 ) 1 = 0 2 0 1 phi(E_(22))=([1,2],[3,-1])([0,0],[0,1])=([1*0+2*0,1*0+2*1],[3*0+(-1)*0,3*0+(-1)*1])=([0,2],[0,-1])\phi(E_{22}) = \begin{pmatrix} 1 & 2 \\ 3 & -1 \end{pmatrix} \begin{pmatrix} 0 & 0 \\ 0 & 1 \end{pmatrix} = \begin{pmatrix} 1 \cdot 0 + 2 \cdot 0 & 1 \cdot 0 + 2 \cdot 1 \\ 3 \cdot 0 + (-1) \cdot 0 & 3 \cdot 0 + (-1) \cdot 1 \end{pmatrix} = \begin{pmatrix} 0 & 2 \\ 0 & -1 \end{pmatrix}ϕ(E22)=(1231)(0001)=(10+2010+2130+(1)030+(1)1)=(0201)
    ( 0 2 0 1 ) = 0 E 11 + 2 E 12 + 0 E 21 + ( 1 ) E 22 0 2 0 1 = 0 E 11 + 2 E 12 + 0 E 21 + ( 1 ) E 22 ([0,2],[0,-1])=0*E_(11)+2*E_(12)+0*E_(21)+(-1)*E_(22)\begin{pmatrix} 0 & 2 \\ 0 & -1 \end{pmatrix} = 0 \cdot E_{11} + 2 \cdot E_{12} + 0 \cdot E_{21} + (-1) \cdot E_{22}(0201)=0E11+2E12+0E21+(1)E22
    Column 4: ( 0 , 2 , 0 , 1 ) ( 0 , 2 , 0 , 1 ) (0,2,0,-1)(0, 2, 0, -1)(0,2,0,1).
The matrix of ϕ ϕ phi\phiϕ with respect to the standard basis (ordered as E 11 , E 12 , E 21 , E 22 E 11 , E 12 , E 21 , E 22 E_(11),E_(12),E_(21),E_(22)E_{11}, E_{12}, E_{21}, E_{22}E11,E12,E21,E22) is:
[ ϕ ] = [ 1 0 2 0 0 1 0 2 3 0 1 0 0 3 0 1 ] [ ϕ ] = 1 0 2 0 0 1 0 2 3 0 1 0 0 3 0 1 [phi]=[[1,0,2,0],[0,1,0,2],[3,0,-1,0],[0,3,0,-1]][\phi] = \begin{bmatrix} 1 & 0 & 2 & 0 \\ 0 & 1 & 0 & 2 \\ 3 & 0 & -1 & 0 \\ 0 & 3 & 0 & -1 \end{bmatrix}[ϕ]=[1020010230100301]

Step 3: Alternative Approach Using Vector Representation

To confirm, we can represent matrices in M 2 × 2 ( R ) M 2 × 2 ( R ) M_(2xx2)(R)M_{2 \times 2}(\mathbb{R})M2×2(R) as vectors in R 4 R 4 R^(4)\mathbb{R}^4R4. Map a matrix v = ( a b c d ) v = a b c d v=([a,b],[c,d])v = \begin{pmatrix} a & b \\ c & d \end{pmatrix}v=(abcd) to the vector ( a , b , c , d ) ( a , b , c , d ) (a,b,c,d)(a, b, c, d)(a,b,c,d). Then:
ϕ ( v ) = ( 1 2 3 1 ) ( a b c d ) = ( a + 2 c b + 2 d 3 a c 3 b d ) ϕ ( v ) = 1 2 3 1 a b c d = a + 2 c b + 2 d 3 a c 3 b d phi(v)=([1,2],[3,-1])([a,b],[c,d])=([a+2c,b+2d],[3a-c,3b-d])\phi(v) = \begin{pmatrix} 1 & 2 \\ 3 & -1 \end{pmatrix} \begin{pmatrix} a & b \\ c & d \end{pmatrix} = \begin{pmatrix} a + 2c & b + 2d \\ 3a – c & 3b – d \end{pmatrix}ϕ(v)=(1231)(abcd)=(a+2cb+2d3ac3bd)
The output vector is:
( a + 2 c , b + 2 d , 3 a c , 3 b d ) ( a + 2 c , b + 2 d , 3 a c , 3 b d ) (a+2c,b+2d,3a-c,3b-d)(a + 2c, b + 2d, 3a – c, 3b – d)(a+2c,b+2d,3ac,3bd)
The matrix acting on ( a , b , c , d ) ( a , b , c , d ) (a,b,c,d)(a, b, c, d)(a,b,c,d) is exactly the one derived above, confirming:
[ a + 2 c b + 2 d 3 a c 3 b d ] = [ 1 0 2 0 0 1 0 2 3 0 1 0 0 3 0 1 ] [ a b c d ] a + 2 c b + 2 d 3 a c 3 b d = 1 0 2 0 0 1 0 2 3 0 1 0 0 3 0 1 a b c d [[a+2c],[b+2d],[3a-c],[3b-d]]=[[1,0,2,0],[0,1,0,2],[3,0,-1,0],[0,3,0,-1]][[a],[b],[c],[d]]\begin{bmatrix} a + 2c \\ b + 2d \\ 3a – c \\ 3b – d \end{bmatrix} = \begin{bmatrix} 1 & 0 & 2 & 0 \\ 0 & 1 & 0 & 2 \\ 3 & 0 & -1 & 0 \\ 0 & 3 & 0 & -1 \end{bmatrix} \begin{bmatrix} a \\ b \\ c \\ d \end{bmatrix}[a+2cb+2d3ac3bd]=[1020010230100301][abcd]

Step 4: Find the Rank of ϕ ϕ phi\phiϕ

The rank of ϕ ϕ phi\phiϕ is the rank of its matrix [ ϕ ] [ ϕ ] [phi][\phi][ϕ], which is the dimension of the image of ϕ ϕ phi\phiϕ. Compute the rank by row reducing the matrix:
[ ϕ ] = [ 1 0 2 0 0 1 0 2 3 0 1 0 0 3 0 1 ] [ ϕ ] = 1 0 2 0 0 1 0 2 3 0 1 0 0 3 0 1 [phi]=[[1,0,2,0],[0,1,0,2],[3,0,-1,0],[0,3,0,-1]][\phi] = \begin{bmatrix} 1 & 0 & 2 & 0 \\ 0 & 1 & 0 & 2 \\ 3 & 0 & -1 & 0 \\ 0 & 3 & 0 & -1 \end{bmatrix}[ϕ]=[1020010230100301]
  • R 3 R 3 3 R 1 R 3 R 3 3 R 1 R_(3)larrR_(3)-3R_(1)R_3 \gets R_3 – 3R_1R3R33R1: R 3 = ( 3 , 0 , 1 , 0 ) 3 ( 1 , 0 , 2 , 0 ) = ( 0 , 0 , 7 , 0 ) R 3 = ( 3 , 0 , 1 , 0 ) 3 ( 1 , 0 , 2 , 0 ) = ( 0 , 0 , 7 , 0 ) R_(3)=(3,0,-1,0)-3(1,0,2,0)=(0,0,-7,0)R_3 = (3, 0, -1, 0) – 3(1, 0, 2, 0) = (0, 0, -7, 0)R3=(3,0,1,0)3(1,0,2,0)=(0,0,7,0)
  • R 4 R 4 3 R 2 R 4 R 4 3 R 2 R_(4)larrR_(4)-3R_(2)R_4 \gets R_4 – 3R_2R4R43R2: R 4 = ( 0 , 3 , 0 , 1 ) 3 ( 0 , 1 , 0 , 2 ) = ( 0 , 0 , 0 , 7 ) R 4 = ( 0 , 3 , 0 , 1 ) 3 ( 0 , 1 , 0 , 2 ) = ( 0 , 0 , 0 , 7 ) R_(4)=(0,3,0,-1)-3(0,1,0,2)=(0,0,0,-7)R_4 = (0, 3, 0, -1) – 3(0, 1, 0, 2) = (0, 0, 0, -7)R4=(0,3,0,1)3(0,1,0,2)=(0,0,0,7)
[ 1 0 2 0 0 1 0 2 0 0 7 0 0 0 0 7 ] 1 0 2 0 0 1 0 2 0 0 7 0 0 0 0 7 [[1,0,2,0],[0,1,0,2],[0,0,-7,0],[0,0,0,-7]]\begin{bmatrix} 1 & 0 & 2 & 0 \\ 0 & 1 & 0 & 2 \\ 0 & 0 & -7 & 0 \\ 0 & 0 & 0 & -7 \end{bmatrix}[1020010200700007]
The matrix is in row echelon form with 4 non-zero rows, so the rank is:
rank ( ϕ ) = 4 rank ( ϕ ) = 4 “rank”(phi)=4\text{rank}(\phi) = 4rank(ϕ)=4

Step 5: Determine Invertibility

A linear operator on a finite-dimensional vector space is invertible if and only if its matrix is invertible, which occurs when the rank equals the dimension of the space (here, 4) or equivalently, the determinant is non-zero. Since rank ( ϕ ) = 4 rank ( ϕ ) = 4 “rank”(phi)=4\text{rank}(\phi) = 4rank(ϕ)=4, ϕ ϕ phi\phiϕ is invertible (it is bijective).
Alternatively, compute the determinant of [ ϕ ] [ ϕ ] [phi][\phi][ϕ]. The matrix is block diagonal:
[ ϕ ] = [ A B C D ] , A = ( 1 0 0 1 ) , B = ( 2 0 0 2 ) , C = ( 3 0 0 3 ) , D = ( 1 0 0 1 ) [ ϕ ] = A B C D , A = 1 0 0 1 , B = 2 0 0 2 , C = 3 0 0 3 , D = 1 0 0 1 [phi]=[[A,B],[C,D]],quad A=([1,0],[0,1]),quad B=([2,0],[0,2]),quad C=([3,0],[0,3]),quad D=([-1,0],[0,-1])[\phi] = \begin{bmatrix} A & B \\ C & D \end{bmatrix}, \quad A = \begin{pmatrix} 1 & 0 \\ 0 & 1 \end{pmatrix}, \quad B = \begin{pmatrix} 2 & 0 \\ 0 & 2 \end{pmatrix}, \quad C = \begin{pmatrix} 3 & 0 \\ 0 & 3 \end{pmatrix}, \quad D = \begin{pmatrix} -1 & 0 \\ 0 & -1 \end{pmatrix}[ϕ]=[ABCD],A=(1001),B=(2002),C=(3003),D=(1001)
However, computing the determinant directly is complex. Since the rank is 4, the matrix is full rank, implying det ( [ ϕ ] ) 0 det ( [ ϕ ] ) 0 det([phi])!=0\det([\phi]) \neq 0det([ϕ])0, so ϕ ϕ phi\phiϕ is invertible.

Step 6: Optional Verification

To confirm invertibility, we could compute the determinant explicitly or check if the kernel is trivial, but the rank being 4 is sufficient. For completeness, the kernel of ϕ ϕ phi\phiϕ is:
ϕ ( v ) = 0 A v = 0 ϕ ( v ) = 0 A v = 0 phi(v)=0LongrightarrowAv=0\phi(v) = 0 \implies A v = 0ϕ(v)=0Av=0
Since A = ( 1 2 3 1 ) A = 1 2 3 1 A=([1,2],[3,-1])A = \begin{pmatrix} 1 & 2 \\ 3 & -1 \end{pmatrix}A=(1231) has det ( A ) = ( 1 ) ( 1 ) ( 2 ) ( 3 ) = 1 6 = 7 0 det ( A ) = ( 1 ) ( 1 ) ( 2 ) ( 3 ) = 1 6 = 7 0 det(A)=(1)(-1)-(2)(3)=-1-6=-7!=0\det(A) = (1)(-1) – (2)(3) = -1 – 6 = -7 \neq 0det(A)=(1)(1)(2)(3)=16=70, for v 0 v 0 v!=0v \neq 0v0, A v 0 A v 0 Av!=0A v \neq 0Av0, so the kernel of ϕ ϕ phi\phiϕ is trivial, confirming invertibility.

Final Answer

The matrix of ϕ ϕ phi\phiϕ with respect to the standard basis { E 11 , E 12 , E 21 , E 22 } { E 11 , E 12 , E 21 , E 22 } {E_(11),E_(12),E_(21),E_(22)}\{E_{11}, E_{12}, E_{21}, E_{22}\}{E11,E12,E21,E22} is:
[ 1 0 2 0 0 1 0 2 3 0 1 0 0 3 0 1 ] 1 0 2 0 0 1 0 2 3 0 1 0 0 3 0 1 [[1,0,2,0],[0,1,0,2],[3,0,-1,0],[0,3,0,-1]]\boxed{\begin{bmatrix} 1 & 0 & 2 & 0 \\ 0 & 1 & 0 & 2 \\ 3 & 0 & -1 & 0 \\ 0 & 3 & 0 & -1 \end{bmatrix}}[1020010230100301]
The rank of ϕ ϕ phi\phiϕ is:
4 4 4\boxed{4}4
Since the rank is 4, equal to the dimension of M 2 × 2 ( R ) M 2 × 2 ( R ) M_(2xx2)(R)M_{2 \times 2}(\mathbb{R})M2×2(R), ϕ ϕ phi\phiϕ is invertible.

Question:-3(b)

Find the volume of the greatest cylinder which can be inscribed in a cone of height h h hhh and semi-vertical angle α α alpha\alphaα.

Answer:

To find the volume of the largest cylinder that can be inscribed in a cone with height h h hhh and semi-vertical angle α α alpha\alphaα, we need to maximize the volume of the cylinder subject to the constraint that it is fully contained within the cone. Let’s proceed step by step, using geometric insights and calculus to optimize the volume.

Step 1: Set Up the Geometry of the Cone

Consider a right circular cone with its vertex at the origin O ( 0 , 0 , 0 ) O ( 0 , 0 , 0 ) O(0,0,0)O(0, 0, 0)O(0,0,0), axis along the positive z z zzz-axis, and base at z = h z = h z=hz = hz=h. The semi-vertical angle α α alpha\alphaα is the angle between the cone’s axis (the z z zzz-axis) and its slant surface. In the x z x z xzxzxz-plane, the cone’s surface satisfies the equation derived from the angle α α alpha\alphaα.
Place the cone’s base in the plane z = h z = h z=hz = hz=h. At z = h z = h z=hz = hz=h, the radius of the base is r = h tan α r = h tan α r=h tan alphar = h \tan \alphar=htanα, since the line from the vertex to the base edge makes an angle α α alpha\alphaα with the z z zzz-axis. The equation of the cone’s surface can be derived as follows:
For a point ( x , y , z ) ( x , y , z ) (x,y,z)(x, y, z)(x,y,z) on the cone’s surface, the distance from the z z zzz-axis is x 2 + y 2 x 2 + y 2 sqrt(x^(2)+y^(2))\sqrt{x^2 + y^2}x2+y2. The slope of the line from the origin to a point on the cone’s surface at height z z zzz is:
tan α = radius at height z z = x 2 + y 2 z tan α = radius at height  z z = x 2 + y 2 z tan alpha=(“radius at height “z)/(z)=(sqrt(x^(2)+y^(2)))/(z)\tan \alpha = \frac{\text{radius at height } z}{z} = \frac{\sqrt{x^2 + y^2}}{z}tanα=radius at height zz=x2+y2z
Thus:
x 2 + y 2 = z tan α x 2 + y 2 = z tan α sqrt(x^(2)+y^(2))=z tan alpha\sqrt{x^2 + y^2} = z \tan \alphax2+y2=ztanα
x 2 + y 2 = ( z tan α ) 2 = z 2 tan 2 α x 2 + y 2 = ( z tan α ) 2 = z 2 tan 2 α x^(2)+y^(2)=(z tan alpha)^(2)=z^(2)tan^(2)alphax^2 + y^2 = (z \tan \alpha)^2 = z^2 \tan^2 \alphax2+y2=(ztanα)2=z2tan2α
Since 0 z h 0 z h 0 <= z <= h0 \leq z \leq h0zh, and at z = h z = h z=hz = hz=h, the radius is x 2 + y 2 = h 2 tan 2 α x 2 + y 2 = h 2 tan 2 α x^(2)+y^(2)=h^(2)tan^(2)alphax^2 + y^2 = h^2 \tan^2 \alphax2+y2=h2tan2α, this equation describes the cone.

Step 2: Define the Inscribed Cylinder

Assume the cylinder is right circular with its axis coincident with the cone’s axis (the z z zzz-axis) to maximize symmetry and volume. Let the cylinder have radius r r rrr and extend from height z = a z = a z=az = az=a to z = b z = b z=bz = bz=b (where 0 a < b h 0 a < b h 0 <= a < b <= h0 \leq a < b \leq h0a<bh). The radius of the cone at height z z zzz is z tan α z tan α z tan alphaz \tan \alphaztanα. For the cylinder to be inscribed, its radius r r rrr must not exceed the cone’s radius at any height between z = a z = a z=az = az=a and z = b z = b z=bz = bz=b. The cone’s radius is smallest at the lower height z = a z = a z=az = az=a:
r a tan α r a tan α r <= a tan alphar \leq a \tan \alpharatanα
To maximize the cylinder’s volume, assume the cylinder touches the cone’s surface along its lateral surface, so at z = a z = a z=az = az=a, the cylinder’s radius equals the cone’s radius:
r = a tan α r = a tan α r=a tan alphar = a \tan \alphar=atanα
However, the cylinder extends to height b b bbb, where the cone’s radius is b tan α b tan α b tan alphab \tan \alphabtanα. For the cylinder to be inside the cone, we need r b tan α r b tan α r <= b tan alphar \leq b \tan \alpharbtanα. Since r = a tan α r = a tan α r=a tan alphar = a \tan \alphar=atanα, and a < b a < b a < ba < ba<b, this is satisfied:
a tan α < b tan α a tan α < b tan α a tan alpha < b tan alphaa \tan \alpha < b \tan \alphaatanα<btanα
Let’s reconsider the cylinder’s configuration. To maximize volume, the cylinder’s top and bottom circular faces typically touch the cone’s surface. Suppose the cylinder’s top is at height z = H z = H z=Hz = Hz=H, and its base is at height z = H L z = H L z=H-Lz = H – Lz=HL, where L L LLL is the cylinder’s height, and 0 < H L < H h 0 < H L < H h 0 < H-L < H <= h0 < H – L < H \leq h0<HL<Hh. At z = H z = H z=Hz = Hz=H, the cone’s radius is H tan α H tan α H tan alphaH \tan \alphaHtanα, and at z = H L z = H L z=H-Lz = H – Lz=HL, it’s ( H L ) tan α ( H L ) tan α (H-L)tan alpha(H – L) \tan \alpha(HL)tanα. For the cylinder to touch the cone’s surface at both ends, its radius r r rrr satisfies:
r = ( H L ) tan α ( at the base ) r = ( H L ) tan α ( at the base ) r=(H-L)tan alphaquad(“at the base”)r = (H – L) \tan \alpha \quad (\text{at the base})r=(HL)tanα(at the base)
At z = H z = H z=Hz = Hz=H, the cone’s radius is H tan α H tan α H tan alphaH \tan \alphaHtanα, so:
r H tan α r H tan α r <= H tan alphar \leq H \tan \alpharHtanα
Since H L < H H L < H H-L < HH – L < HHL<H, we have ( H L ) tan α < H tan α ( H L ) tan α < H tan α (H-L)tan alpha < H tan alpha(H – L) \tan \alpha < H \tan \alpha(HL)tanα<Htanα, which is consistent. For points between z = H L z = H L z=H-Lz = H – Lz=HL and z = H z = H z=Hz = Hz=H, the cone’s radius z tan α z tan α z tan alphaz \tan \alphaztanα satisfies:
( H L ) tan α z tan α H tan α ( H L ) tan α z tan α H tan α (H-L)tan alpha <= z tan alpha <= H tan alpha(H – L) \tan \alpha \leq z \tan \alpha \leq H \tan \alpha(HL)tanαztanαHtanα
Thus, the cylinder’s radius r = ( H L ) tan α r = ( H L ) tan α r=(H-L)tan alphar = (H – L) \tan \alphar=(HL)tanα is valid if it doesn’t exceed the cone’s radius at all points, which it does since the cone widens as z z zzz increases.

Step 3: Volume of the Cylinder

The volume of the cylinder is:
V = π r 2 L = π ( ( H L ) tan α ) 2 L = π tan 2 α ( H L ) 2 L V = π r 2 L = π ( ( H L ) tan α ) 2 L = π tan 2 α ( H L ) 2 L V=pir^(2)L=pi((H-L)tan alpha)^(2)L=pitan^(2)alpha(H-L)^(2)LV = \pi r^2 L = \pi ( (H – L) \tan \alpha )^2 L = \pi \tan^2 \alpha (H – L)^2 LV=πr2L=π((HL)tanα)2L=πtan2α(HL)2L
We need to maximize:
V ( L , H ) = π tan 2 α ( H L ) 2 L V ( L , H ) = π tan 2 α ( H L ) 2 L V(L,H)=pitan^(2)alpha(H-L)^(2)LV(L, H) = \pi \tan^2 \alpha (H – L)^2 LV(L,H)=πtan2α(HL)2L
subject to constraints:
0 < H L < H h 0 < H L < H h 0 < H-L < H <= h0 < H – L < H \leq h0<HL<Hh
Since π tan 2 α π tan 2 α pitan^(2)alpha\pi \tan^2 \alphaπtan2α is constant, maximize:
f ( L , H ) = ( H L ) 2 L f ( L , H ) = ( H L ) 2 L f(L,H)=(H-L)^(2)Lf(L, H) = (H – L)^2 Lf(L,H)=(HL)2L
Constraints:
0 < L < H h 0 < L < H h 0 < L < H <= h0 < L < H \leq h0<L<Hh

Step 4: Optimize the Volume

To find the maximum, compute partial derivatives and find critical points.
  • Partial derivative with respect to L L LLL:
    f L = L [ ( H L ) 2 L ] = ( H L ) 2 1 + L 2 ( H L ) ( 1 ) f L = L [ ( H L ) 2 L ] = ( H L ) 2 1 + L 2 ( H L ) ( 1 ) (del f)/(del L)=(del)/(del L)[(H-L)^(2)L]=(H-L)^(2)*1+L*2(H-L)*(-1)\frac{\partial f}{\partial L} = \frac{\partial}{\partial L} [ (H – L)^2 L ] = (H – L)^2 \cdot 1 + L \cdot 2 (H – L) \cdot (-1)fL=L[(HL)2L]=(HL)21+L2(HL)(1)
    = ( H L ) 2 2 L ( H L ) = ( H L ) [ ( H L ) 2 L ] = ( H L ) ( H 3 L ) = ( H L ) 2 2 L ( H L ) = ( H L ) [ ( H L ) 2 L ] = ( H L ) ( H 3 L ) =(H-L)^(2)-2L(H-L)=(H-L)[(H-L)-2L]=(H-L)(H-3L)= (H – L)^2 – 2L (H – L) = (H – L) [ (H – L) – 2L ] = (H – L) (H – 3L)=(HL)22L(HL)=(HL)[(HL)2L]=(HL)(H3L)
    Set to zero:
    ( H L ) ( H 3 L ) = 0 ( H L ) ( H 3 L ) = 0 (H-L)(H-3L)=0(H – L)(H – 3L) = 0(HL)(H3L)=0
    H L = 0 or H 3 L = 0 H L = 0 or H 3 L = 0 H-L=0quad”or”quad H-3L=0H – L = 0 \quad \text{or} \quad H – 3L = 0HL=0orH3L=0
    H = L or H = 3 L H = L or H = 3 L H=L quad”or”quad H=3LH = L \quad \text{or} \quad H = 3LH=LorH=3L
    Since L < H L < H L < HL < HL<H, discard H = L H = L H=LH = LH=L. Thus:
    H = 3 L H = 3 L H=3LH = 3LH=3L
  • Substitute H = 3 L H = 3 L H=3LH = 3LH=3L into the volume:
    f ( L , H ) = ( 3 L L ) 2 L = ( 2 L ) 2 L = 4 L 2 L = 4 L 3 f ( L , H ) = ( 3 L L ) 2 L = ( 2 L ) 2 L = 4 L 2 L = 4 L 3 f(L,H)=(3L-L)^(2)L=(2L)^(2)L=4L^(2)*L=4L^(3)f(L, H) = (3L – L)^2 L = (2L)^2 L = 4L^2 \cdot L = 4L^3f(L,H)=(3LL)2L=(2L)2L=4L2L=4L3
    Constraints: 0 < L < H = 3 L h 0 < L < H = 3 L h 0 < L < H=3L <= h0 < L < H = 3L \leq h0<L<H=3Lh, so:
    3 L h L h 3 3 L h L h 3 3L <= hLongrightarrowL <= (h)/(3)3L \leq h \implies L \leq \frac{h}{3}3LhLh3
    Maximize:
    g ( L ) = 4 L 3 , 0 < L h 3 g ( L ) = 4 L 3 , 0 < L h 3 g(L)=4L^(3),quad0 < L <= (h)/(3)g(L) = 4L^3, \quad 0 < L \leq \frac{h}{3}g(L)=4L3,0<Lh3
    Since g ( L ) = 4 L 3 g ( L ) = 4 L 3 g(L)=4L^(3)g(L) = 4L^3g(L)=4L3 is increasing ( g ( L ) = 12 L 2 > 0 g ( L ) = 12 L 2 > 0 g^(‘)(L)=12L^(2) > 0g'(L) = 12L^2 > 0g(L)=12L2>0), the maximum occurs at the boundary L = h 3 L = h 3 L=(h)/(3)L = \frac{h}{3}L=h3.
  • Compute H H HHH and r r rrr:
    H = 3 L = 3 h 3 = h H = 3 L = 3 h 3 = h H=3L=3*(h)/(3)=hH = 3L = 3 \cdot \frac{h}{3} = hH=3L=3h3=h
    Base at:
    H L = h h 3 = 2 h 3 H L = h h 3 = 2 h 3 H-L=h-(h)/(3)=(2h)/(3)H – L = h – \frac{h}{3} = \frac{2h}{3}HL=hh3=2h3
    Radius:
    r = ( H L ) tan α = 2 h 3 tan α r = ( H L ) tan α = 2 h 3 tan α r=(H-L)tan alpha=(2h)/(3)tan alphar = (H – L) \tan \alpha = \frac{2h}{3} \tan \alphar=(HL)tanα=2h3tanα
  • Volume:
    V = π ( 2 h 3 tan α ) 2 h 3 = π 4 h 2 tan 2 α 9 h 3 = π 4 h 3 tan 2 α 27 = 4 π h 3 tan 2 α 27 V = π 2 h 3 tan α 2 h 3 = π 4 h 2 tan 2 α 9 h 3 = π 4 h 3 tan 2 α 27 = 4 π h 3 tan 2 α 27 V=pi((2h)/(3)tan alpha)^(2)*(h)/(3)=pi*(4h^(2)tan^(2)alpha)/(9)*(h)/(3)=pi*(4h^(3)tan^(2)alpha)/(27)=(4pih^(3)tan^(2)alpha)/(27)V = \pi \left( \frac{2h}{3} \tan \alpha \right)^2 \cdot \frac{h}{3} = \pi \cdot \frac{4h^2 \tan^2 \alpha}{9} \cdot \frac{h}{3} = \pi \cdot \frac{4h^3 \tan^2 \alpha}{27} = \frac{4\pi h^3 \tan^2 \alpha}{27}V=π(2h3tanα)2h3=π4h2tan2α9h3=π4h3tan2α27=4πh3tan2α27

Step 5: Verify the Critical Point

To ensure the maximum, consider the second derivatives or test boundaries. Using the single-variable function:
V ( L ) = 4 π tan 2 α L 3 V ( L ) = 4 π tan 2 α L 3 V(L)=4pitan^(2)alphaL^(3)V(L) = 4\pi \tan^2 \alpha L^3V(L)=4πtan2αL3
V ( L ) = 12 π tan 2 α L 2 V ( L ) = 12 π tan 2 α L 2 V^(‘)(L)=12 pitan^(2)alphaL^(2)V'(L) = 12\pi \tan^2 \alpha L^2V(L)=12πtan2αL2
The critical point is at L = 0 L = 0 L=0L = 0L=0, but since L > 0 L > 0 L > 0L > 0L>0, and V ( L ) > 0 V ( L ) > 0 V^(‘)(L) > 0V'(L) > 0V(L)>0, the function increases up to L = h 3 L = h 3 L=(h)/(3)L = \frac{h}{3}L=h3. Alternatively, use the two-variable function and check the Hessian at H = 3 L H = 3 L H=3LH = 3LH=3L, but the boundary H = h H = h H=hH = hH=h simplifies the process.

Step 6: Geometric Verification

The cylinder’s base is at z = 2 h 3 z = 2 h 3 z=(2h)/(3)z = \frac{2h}{3}z=2h3, top at z = h z = h z=hz = hz=h, with radius r = 2 h 3 tan α r = 2 h 3 tan α r=(2h)/(3)tan alphar = \frac{2h}{3} \tan \alphar=2h3tanα. At z = h z = h z=hz = hz=h, the cone’s radius is h tan α h tan α h tan alphah \tan \alphahtanα, which is larger, ensuring the cylinder fits inside. The height L = h 3 L = h 3 L=(h)/(3)L = \frac{h}{3}L=h3 and radius are consistent with the cone’s geometry.

Final Answer

The volume of the greatest cylinder inscribed in the cone is:
4 π h 3 tan 2 α 27 4 π h 3 tan 2 α 27 (4pih^(3)tan^(2)alpha)/(27)\boxed{\frac{4 \pi h^3 \tan^2 \alpha}{27}}4πh3tan2α27

Question:-3(c)

Find the vertex of the cone 4 x 2 y 2 + 2 z 2 + 2 x y 3 y z + 12 x 11 y + 6 z + 4 = 0 4 x 2 y 2 + 2 z 2 + 2 x y 3 y z + 12 x 11 y + 6 z + 4 = 0 4x^(2)-y^(2)+2z^(2)+2xy-3yz+12 x-11 y+6z+4=04x^{2}-y^{2}+2z^{2}+2xy-3yz+12x-11y+6z+4=04x2y2+2z2+2xy3yz+12x11y+6z+4=0.

Answer:

To find the vertex of the given cone, we’ll follow these steps:

Given Equation:

4 x 2 y 2 + 2 z 2 + 2 x y 3 y z + 12 x 11 y + 6 z + 4 = 0 4 x 2 y 2 + 2 z 2 + 2 x y 3 y z + 12 x 11 y + 6 z + 4 = 0 4x^(2)-y^(2)+2z^(2)+2xy-3yz+12 x-11 y+6z+4=04x^{2} – y^{2} + 2z^{2} + 2xy – 3yz + 12x – 11y + 6z + 4 = 04x2y2+2z2+2xy3yz+12x11y+6z+4=0

Step 1: Rewrite the Equation in Matrix Form

The general equation of a quadric surface is:
X T A X + B X + C = 0 X T A X + B X + C = 0 X^(T)AX+BX+C=0\mathbf{X}^T A \mathbf{X} + B \mathbf{X} + C = 0XTAX+BX+C=0
where:
  • X = [ x y z ] X = x y z X=[[x],[y],[z]]\mathbf{X} = \begin{bmatrix} x \\ y \\ z \end{bmatrix}X=[xyz]
  • A A AAA is the symmetric matrix of the quadratic terms.
  • B B BBB is the row matrix of the linear terms.
  • C C CCC is the constant term.
For the given equation:
A = [ 4 1 0 1 1 3 2 0 3 2 2 ] , B = [ 12 11 6 ] , C = 4 A = 4 1 0 1 1 3 2 0 3 2 2 , B = 12 11 6 , C = 4 A=[[4,1,0],[1,-1,-(3)/(2)],[0,-(3)/(2),2]],quad B=[[12,-11,6]],quad C=4A = \begin{bmatrix} 4 & 1 & 0 \\ 1 & -1 & -\frac{3}{2} \\ 0 & -\frac{3}{2} & 2 \end{bmatrix}, \quad B = \begin{bmatrix} 12 & -11 & 6 \end{bmatrix}, \quad C = 4A=[41011320322],B=[12116],C=4

Step 2: Find the Vertex

The vertex V = [ x 0 y 0 z 0 ] V = x 0 y 0 z 0 V=[[x_(0)],[y_(0)],[z_(0)]]\mathbf{V} = \begin{bmatrix} x_0 \\ y_0 \\ z_0 \end{bmatrix}V=[x0y0z0] of the cone satisfies:
2 A V + B T = 0 2 A V + B T = 0 2AV+B^(T)=02A \mathbf{V} + B^T = 02AV+BT=0
A V = 1 2 B T A V = 1 2 B T AV=-(1)/(2)B^(T)A \mathbf{V} = -\frac{1}{2} B^TAV=12BT

Substituting A A AAA and B B BBB:
[
[ 4 1 0 1 1 3 2 0 3 2 2 ] 4 1 0 1 1 3 2 0 3 2 2 [[4,1,0],[1,-1,-(3)/(2)],[0,-(3)/(2),2]]\begin{bmatrix} 4 & 1 & 0 \\ 1 & -1 & -\frac{3}{2} \\ 0 & -\frac{3}{2} & 2 \end{bmatrix}[41011320322]
[ x 0 y 0 z 0 ] x 0 y 0 z 0 [[x_(0)],[y_(0)],[z_(0)]]\begin{bmatrix} x_0 \\ y_0 \\ z_0 \end{bmatrix}[x0y0z0]
= -\frac{1}{2}
[ 12 11 6 ] 12 11 6 [[12],[-11],[6]]\begin{bmatrix} 12 \\ -11 \\ 6 \end{bmatrix}[12116]

[ 6 11 2 3 ] 6 11 2 3 [[-6],[(11)/(2)],[-3]]\begin{bmatrix} -6 \\ \frac{11}{2} \\ -3 \end{bmatrix}[61123]
]
This gives us the system of equations:
  1. 4 x 0 + y 0 = 6 4 x 0 + y 0 = 6 4x_(0)+y_(0)=-64x_0 + y_0 = -6