Free MCS-211 Solved Assignment | January 2025, July 2025 | MCA_NEW, MCAOL | English & Hindi Medium | IGNOU

Abstract Classes ®

Question Paper: MCS-212 Discrete Mathematics

Question:-1

Prove by mathematical induction that i = 1 n 1 i ( i + 1 ) = n n + 1 i = 1 n 1 i ( i + 1 ) = n n + 1 sum_(i=1)^(n)(1)/(i(i+1))=(n)/(n+1)\sum_{i=1}^{n} \frac{1}{i(i+1)} = \frac{n}{n+1}i=1n1i(i+1)=nn+1.

Answer:

🧮 Step 1: Base Case (n = 1)

Left Side (LS):
i = 1 1 1 i ( i + 1 ) = 1 1 2 = 1 2 i = 1 1 1 i ( i + 1 ) = 1 1 2 = 1 2 sum_(i=1)^(1)(1)/(i(i+1))=(1)/(1*2)=(1)/(2)\sum_{i=1}^{1} \frac{1}{i(i+1)} = \frac{1}{1 \cdot 2} = \frac{1}{2}i=111i(i+1)=112=12
Right Side (RS):
1 1 + 1 = 1 2 1 1 + 1 = 1 2 (1)/(1+1)=(1)/(2)\frac{1}{1+1} = \frac{1}{2}11+1=12
✅ Since LS = RS, the formula holds for n = 1 n = 1 n=1n = 1n=1.

🔁 Step 2: Inductive Hypothesis

Assume the formula is true for n = k n = k n=kn = kn=k, i.e.,
i = 1 k 1 i ( i + 1 ) = k k + 1 i = 1 k 1 i ( i + 1 ) = k k + 1 sum_(i=1)^(k)(1)/(i(i+1))=(k)/(k+1)\sum_{i=1}^{k} \frac{1}{i(i+1)} = \frac{k}{k+1}i=1k1i(i+1)=kk+1

🧠 Step 3: Inductive Step (Prove for n = k + 1 n = k + 1 n=k+1n = k+1n=k+1)

Show that:
i = 1 k + 1 1 i ( i + 1 ) = k + 1 k + 2 i = 1 k + 1 1 i ( i + 1 ) = k + 1 k + 2 sum_(i=1)^(k+1)(1)/(i(i+1))=(k+1)/(k+2)\sum_{i=1}^{k+1} \frac{1}{i(i+1)} = \frac{k+1}{k+2}i=1k+11i(i+1)=k+1k+2
Start with LS for n = k + 1 n = k + 1 n=k+1n = k+1n=k+1:
i = 1 k + 1 1 i ( i + 1 ) = ( i = 1 k 1 i ( i + 1 ) ) + 1 ( k + 1 ) ( k + 2 ) i = 1 k + 1 1 i ( i + 1 ) = i = 1 k 1 i ( i + 1 ) + 1 ( k + 1 ) ( k + 2 ) sum_(i=1)^(k+1)(1)/(i(i+1))=(sum_(i=1)^(k)(1)/(i(i+1)))+(1)/((k+1)(k+2))\sum_{i=1}^{k+1} \frac{1}{i(i+1)} = \left( \sum_{i=1}^{k} \frac{1}{i(i+1)} \right) + \frac{1}{(k+1)(k+2)}i=1k+11i(i+1)=(i=1k1i(i+1))+1(k+1)(k+2)
Use the inductive hypothesis:
= k k + 1 + 1 ( k + 1 ) ( k + 2 ) = k k + 1 + 1 ( k + 1 ) ( k + 2 ) =(k)/(k+1)+(1)/((k+1)(k+2))= \frac{k}{k+1} + \frac{1}{(k+1)(k+2)}=kk+1+1(k+1)(k+2)
Combine the fractions:
= k ( k + 2 ) + 1 ( k + 1 ) ( k + 2 ) = k 2 + 2 k + 1 ( k + 1 ) ( k + 2 ) = ( k + 1 ) 2 ( k + 1 ) ( k + 2 ) = k ( k + 2 ) + 1 ( k + 1 ) ( k + 2 ) = k 2 + 2 k + 1 ( k + 1 ) ( k + 2 ) = ( k + 1 ) 2 ( k + 1 ) ( k + 2 ) =(k(k+2)+1)/((k+1)(k+2))=(k^(2)+2k+1)/((k+1)(k+2))=((k+1)^(2))/((k+1)(k+2))= \frac{k(k+2) + 1}{(k+1)(k+2)} = \frac{k^2 + 2k + 1}{(k+1)(k+2)} = \frac{(k+1)^2}{(k+1)(k+2)}=k(k+2)+1(k+1)(k+2)=k2+2k+1(k+1)(k+2)=(k+1)2(k+1)(k+2)
Simplify:
= k + 1 k + 2 = k + 1 k + 2 =(k+1)/(k+2)= \frac{k+1}{k+2}=k+1k+2
This matches the RS for n = k + 1 n = k + 1 n=k+1n = k+1n=k+1.

✅ Step 4: Conclusion

By mathematical induction, the formula
i = 1 n 1 i ( i + 1 ) = n n + 1 i = 1 n 1 i ( i + 1 ) = n n + 1 sum_(i=1)^(n)(1)/(i(i+1))=(n)/(n+1)\sum_{i=1}^{n} \frac{1}{i(i+1)} = \frac{n}{n+1}i=1n1i(i+1)=nn+1
holds for all positive integers n n nnn.

Question:-2

Verify whether 11 11 sqrt11\sqrt{11}11 is rational or irrational.

Answer:

🔍 Let's verify whether 11 11 sqrt11\sqrt{11}11 is rational or irrational.
📌 Definition:
A rational number can be expressed as p q p q (p)/(q)\frac{p}{q}pq, where p p ppp and q q qqq are integers and q 0 q 0 q!=0q \ne 0q0. If a number cannot be expressed this way, it is irrational.
🧠 Proof by Contradiction:
Assume 11 11 sqrt11\sqrt{11}11 is rational. Then:
11 = p q 11 = p q sqrt11=(p)/(q)\sqrt{11} = \frac{p}{q}11=pq
where p p ppp and q q qqq are coprime integers (i.e., gcd ( p , q ) = 1 gcd ( p , q ) = 1 gcd(p,q)=1\gcd(p, q) = 1gcd(p,q)=1), and q 0 q 0 q!=0q \ne 0q0.
Squaring both sides:
11 = p 2 q 2 p 2 = 11 q 2 11 = p 2 q 2 p 2 = 11 q 2 11=(p^(2))/(q^(2))Longrightarrowp^(2)=11q^(2)11 = \frac{p^2}{q^2} \implies p^2 = 11q^211=p2q2p2=11q2
This implies p 2 p 2 p^(2)p^2p2 is divisible by 11, so p p ppp must also be divisible by 11 (since 11 is prime). Let p = 11 k p = 11 k p=11 kp = 11kp=11k for some integer k k kkk. Substituting:
( 11 k ) 2 = 11 q 2 121 k 2 = 11 q 2 q 2 = 11 k 2 ( 11 k ) 2 = 11 q 2 121 k 2 = 11 q 2 q 2 = 11 k 2 (11 k)^(2)=11q^(2)Longrightarrow121k^(2)=11q^(2)Longrightarrowq^(2)=11k^(2)(11k)^2 = 11q^2 \implies 121k^2 = 11q^2 \implies q^2 = 11k^2(11k)2=11q2121k2=11q2q2=11k2
Now q 2 q 2 q^(2)q^2q2 is divisible by 11, so q q qqq must also be divisible by 11. But this contradicts our assumption that p p ppp and q q qqq are coprime (both divisible by 11). ❌
🔚 Conclusion:
Our initial assumption that 11 11 sqrt11\sqrt{11}11 is rational is false. Therefore, 11 11 sqrt11\sqrt{11}11 is irrational. ✅
📝 Note:
This proof relies on the property of prime numbers. Since 11 is prime, 11 11 sqrt11\sqrt{11}11 cannot be expressed as a fraction of integers.

Question:-3

Write the following statements in symbolic form:

  • Some students cannot appear in exam.
  • Everyone cannot sing.

Answer:

📝 Statements in Symbolic Form

1. Some students cannot appear in exam.
Let:
  • S ( x ) S ( x ) S(x)S(x)S(x): x x xxx is a student
  • E ( x ) E ( x ) E(x)E(x)E(x): x x xxx can appear in the exam
Symbolic Form:
x ( S ( x ) ¬ E ( x ) ) x ( S ( x ) ¬ E ( x ) ) EE x(S(x)^^not E(x))\exists x \; (S(x) \land \neg E(x))x(S(x)¬E(x))
2. Everyone cannot sing.
Let:
  • P ( x ) P ( x ) P(x)P(x)P(x): x x xxx is a person
  • S ( x ) S ( x ) S(x)S(x)S(x): x x xxx can sing
Symbolic Form:
x ( P ( x ) ¬ S ( x ) ) x ( P ( x ) ¬ S ( x ) ) AA x(P(x)rarr not S(x))\forall x \; (P(x) \rightarrow \neg S(x))x(P(x)¬S(x))

Question:-4

Draw the logic circuit for the following Boolean Expression: ( x y z ) + ( x + y + z ) + ( x z y ) ( x y z ) + ( x + y + z ) + ( x z y ) (xyz)+(x+y+z)^(')+(x^(')zy^('))(xyz) + (x+y+z)' + (x'zy')(xyz)+(x+y+z)+(xzy).

Answer:

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Question:-5

Explain whether the function f ( x ) = x 2 f ( x ) = x 2 f(x)=x^(2)f(x) = x^2f(x)=x2 possesses an inverse function or not.

Answer:

🔍 Inverse Function Check for f ( x ) = x 2 f ( x ) = x 2 f(x)=x^(2)f(x) = x^2f(x)=x2
📉 Definition Recap:
A function has an inverse only if it is one-to-one (each output corresponds to exactly one input).
🧮 Analysis of f ( x ) = x 2 f ( x ) = x 2 f(x)=x^(2)f(x) = x^2f(x)=x2:
  • Example:
    f ( 2 ) = 4 f ( 2 ) = 4 f(2)=4f(2) = 4f(2)=4
    f ( 2 ) = 4 f ( 2 ) = 4 f(-2)=4f(-2) = 4f(2)=4
    → Same output (4) from two different inputs (2 and -2).
  • This violates the one-to-one condition.
🚫 Conclusion:
f ( x ) = x 2 f ( x ) = x 2 f(x)=x^(2)f(x) = x^2f(x)=x2 is not one-to-one over all real numbers. Thus, it does not have an inverse function on its entire domain.
📍 Note:
If we restrict the domain (e.g., to x 0 x 0 x >= 0x \geq 0x0), then f ( x ) = x 2 f ( x ) = x 2 f(x)=x^(2)f(x) = x^2f(x)=x2 becomes one-to-one and an inverse exists:
f 1 ( x ) = x f 1 ( x ) = x f^(-1)(x)=sqrtxf^{-1}(x) = \sqrt{x}f1(x)=x

Question:-6

Write the finite automata corresponding to the regular expression ( a + b ) a b ( a + b ) a b (a+b)^(**)ab(a + b)^*ab(a+b)ab.

Answer:

🧠 Finite Automata for Regular Expression: ( a + b ) a b ( a + b ) a b (a+b)^(**)ab(a + b)^*ab(a+b)ab

📌 Step 1: Understand the Regular Expression

  • ( a + b ) ( a + b ) (a+b)^(**)(a + b)^*(a+b): Any string of a's and b's (including empty string).
  • ab: The string must end with "ab".
Example Strings:
ab, aab, bab, aaab, abab, etc. (all ending with "ab").

🔧 Step 2: Design the Finite Automata (FA)

We need an FA that accepts all strings ending with "ab".
🧩 States:
  • q0: Initial state (no input or input not ending with "a" or "ab").
  • q1: State after reading "a" (potential start of "ab").
  • q2: Final state after reading "ab".
🧭 Transitions:
  • From q0:
    • On a: go to q1 (possible start of "ab").
    • On b: stay at q0 (since "b" doesn't help form "ab").
  • From q1:
    • On a: stay at q1 (new "a" may start a new "ab").
    • On b: go to q2 (complete "ab").
  • From q2 (final state):
    • On a: go to q1 (new "a" may start a new "ab").
    • On b: go to q0 (as "b" breaks the sequence).

🗺️ State Transition Table:

State Input a Input b
q0 q1 q0
q1 q1 q2
q2 q1 q0

📊 Diagram Representation:

        a           b
→ q0 ─────→ q1 ─────→ q2 (Final)
   │         │         │
   │ b       │ a       │ a
   ↓         ↓         ↓
   q0        q1        q1
   └───────────────────┘
          b
  • Start State: q0
  • Final State: q2

✅ Example Strings:

  • "ab": q0 → q1 → q2 ✅
  • "aab": q0 → q1 → q1 → q2 ✅
  • "abb": q0 → q1 → q2 → q0 ❌ (ends at non-final state)
  • "ba": q0 → q0 → q1 ❌ (ends at non-final state)

🧾 Summary:

The FA accepts all strings over {a, b} that end with "ab". The states track the progress towards matching the suffix "ab".

Question:-7

If L 1 L 1 L_(1)L_1L1 and L 2 L 2 L_(2)L_2L2 are context-free languages, then prove that L 1 L 2 L 1 L 2 L_(1)uuL_(2)L_1 \cup L_2L1L2 is a context-free language.

Answer:

🧠 Proof: Closure of CFLs under Union

📌 Step 1: Definition of Context-Free Languages (CFLs)

A language is context-free if it is generated by a context-free grammar (CFG).
A CFG is a 4-tuple G = ( V , Σ , R , S ) G = ( V , Σ , R , S ) G=(V,Sigma,R,S)G = (V, \Sigma, R, S)G=(V,Σ,R,S), where:
  • V V VVV: Non-terminals
  • Σ Σ Sigma\SigmaΣ: Terminals
  • R R RRR: Production rules
  • S S SSS: Start symbol

📌 Step 2: Given

Let L 1 L 1 L_(1)L_1L1 and L 2 L 2 L_(2)L_2L2 be two context-free languages.
Thus, there exist CFGs:
  • G 1 = ( V 1 , Σ 1 , R 1 , S 1 ) G 1 = ( V 1 , Σ 1 , R 1 , S 1 ) G_(1)=(V_(1),Sigma_(1),R_(1),S_(1))G_1 = (V_1, \Sigma_1, R_1, S_1)G1=(V1,Σ1,R1,S1) such that L ( G 1 ) = L 1 L ( G 1 ) = L 1 L(G_(1))=L_(1)L(G_1) = L_1L(G1)=L1
  • G 2 = ( V 2 , Σ 2 , R 2 , S 2 ) G 2 = ( V 2 , Σ 2 , R 2 , S 2 ) G_(2)=(V_(2),Sigma_(2),R_(2),S_(2))G_2 = (V_2, \Sigma_2, R_2, S_2)G2=(V2,Σ2,R2,S2) such that L ( G 2 ) = L 2 L ( G 2 ) = L 2 L(G_(2))=L_(2)L(G_2) = L_2L(G2)=L2
We assume V 1 V 2 = V 1 V 2 = V_(1)nnV_(2)=O/V_1 \cap V_2 = \emptysetV1V2= (non-terminals are distinct; can be renamed if needed).

🛠️ Step 3: Construct a CFG for L 1 L 2 L 1 L 2 L_(1)uuL_(2)L_1 \cup L_2L1L2

Define a new grammar G = ( V , Σ , R , S ) G = ( V , Σ , R , S ) G=(V,Sigma,R,S)G = (V, \Sigma, R, S)G=(V,Σ,R,S), where:
  • V = V 1 V 2 { S } V = V 1 V 2 { S } V=V_(1)uuV_(2)uu{S}V = V_1 \cup V_2 \cup \{S\}V=V1V2{S} (all non-terminals from G 1 G 1 G_(1)G_1G1, G 2 G 2 G_(2)G_2G2, plus a new start symbol S S SSS)
  • Σ = Σ 1 Σ 2 Σ = Σ 1 Σ 2 Sigma=Sigma_(1)uuSigma_(2)\Sigma = \Sigma_1 \cup \Sigma_2Σ=Σ1Σ2
  • R = R 1 R 2 { S S 1 S 2 } R = R 1 R 2 { S S 1 S 2 } R=R_(1)uuR_(2)uu{S rarrS_(1)∣S_(2)}R = R_1 \cup R_2 \cup \{S \to S_1 \mid S_2\}R=R1R2{SS1S2} (all rules from G 1 G 1 G_(1)G_1G1 and G 2 G 2 G_(2)G_2G2, plus two new rules for S S SSS)

✅ Step 4: Prove L ( G ) = L 1 L 2 L ( G ) = L 1 L 2 L(G)=L_(1)uuL_(2)L(G) = L_1 \cup L_2L(G)=L1L2

  • Derivation in G G GGG:
    • Start with S S SSS.
    • Choose either S S 1 S S 1 S rarrS_(1)S \to S_1SS1 or S S 2 S S 2 S rarrS_(2)S \to S_2SS2.
    • If S S 1 S S 1 S rarrS_(1)S \to S_1SS1, then derive a string using rules from R 1 R 1 R_(1)R_1R1 ⇒ generates a string in L 1 L 1 L_(1)L_1L1.
    • If S S 2 S S 2 S rarrS_(2)S \to S_2SS2, then derive a string using rules from R 2 R 2 R_(2)R_2R2 ⇒ generates a string in L 2 L 2 L_(2)L_2L2.
  • Every string in L 1 L 2 L 1 L 2 L_(1)uuL_(2)L_1 \cup L_2L1L2:
    • If w L 1 w L 1 w inL_(1)w \in L_1wL1, then S 1 w S 1 w S_(1)=>^(**)wS_1 \Rightarrow^* wS1w in G 1 G 1 G_(1)G_1G1, so S S 1 w S S 1 w S rarrS_(1)=>^(**)wS \to S_1 \Rightarrow^* wSS1w in G G GGG.
    • Similarly, if w L 2 w L 2 w inL_(2)w \in L_2wL2, then S S 2 w S S 2 w S rarrS_(2)=>^(**)wS \to S_2 \Rightarrow^* wSS2w in G G GGG.
Thus, G G GGG generates exactly L 1 L 2 L 1 L 2 L_(1)uuL_(2)L_1 \cup L_2L1L2.

🧾 Step 5: Conclusion

Since we constructed a CFG G G GGG that generates L 1 L 2 L 1 L 2 L_(1)uuL_(2)L_1 \cup L_2L1L2, the union of two CFLs is also context-free.
This proves closure under union. ✅


Question:-8

Explain Decidable and Undecidable Problems. Give an example for each.

Answer:

📘 Decidable vs. Undecidable Problems

✅ Decidable Problems

A problem is decidable if there exists a Turing machine (or algorithm) that:
  • Halts on every input
  • Correctly outputs "yes" or "no" for each input
🔍 Example:
Checking whether a string belongs to a context-free language (CFL).
  • Given a CFG G G GGG and string w w www, we can use the CYK algorithm to decide if w L ( G ) w L ( G ) w in L(G)w \in L(G)wL(G).
  • The algorithm always halts and returns a true/false answer.

❌ Undecidable Problems

A problem is undecidable if no Turing machine (or algorithm) exists that:
  • Halts on every input
  • Correctly solves the problem for all cases
🔍 Example:
The Halting Problem:
  • Given a program P P PPP and input I I III, determine if P P PPP halts on I I III.
  • Proven by Alan Turing to be undecidable: no general algorithm can solve this for all ( P , I ) ( P , I ) (P,I)(P, I)(P,I).

🧠 Key Difference:

  • Decidable: Algorithm exists and always gives an answer.
  • Undecidable: No such algorithm exists; problem is "unsolvable" in general.

Question:-9

What is an equivalence relation? Explain the use of equivalence relation with the help of an example.

Answer:

🤝 What is an Equivalence Relation?
An equivalence relation is a binary relation (∼) on a set that satisfies three properties for all elements a , b , c a , b , c a,b,ca, b, ca,b,c in the set:
  1. ↺ Reflexivity: a a a a a∼aa \sim aaa (Every element is related to itself).
  2. ↔️ Symmetry: If a b a b a∼ba \sim bab, then b a b a b∼ab \sim aba (The relation is two-way).
  3. ➡️ Transitivity: If a b a b a∼ba \sim bab and b c b c b∼cb \sim cbc, then a c a c a∼ca \sim cac (Relations chain together).

🧮 Example: Equality of Remainders (Modular Arithmetic)
A classic example is the relation "has the same remainder when divided by 3" on the set of integers ℤ.
  • Let's define the relation: For integers a a aaa and b b bbb, a b a b a∼ba \sim bab if a b a b a-ba - bab is divisible by 3.
1. ✅ Reflexivity: For any integer a a aaa, a a = 0 a a = 0 a-a=0a - a = 0aa=0, which is divisible by 3. So, a a a a a∼aa \sim aaa.
2. ✅ Symmetry: If a b a b a∼ba \sim bab, then a b a b a-ba - bab is divisible by 3. This implies b a = ( a b ) b a = ( a b ) b-a=-(a-b)b - a = -(a - b)ba=(ab) is also divisible by 3. So, b a b a b∼ab \sim aba.
3. ✅ Transitivity: If a b a b a∼ba \sim bab and b c b c b∼cb \sim cbc, then a b a b a-ba - bab and b c b c b-cb - cbc are divisible by 3. Adding these, ( a b ) + ( b c ) = a c ( a b ) + ( b c ) = a c (a-b)+(b-c)=a-c(a - b) + (b - c) = a - c(ab)+(bc)=ac is also divisible by 3. So, a c a c a∼ca \sim cac.

📦 The Use: Forming Equivalence Classes
The power of an equivalence relation is that it partitions the set into disjoint subsets called equivalence classes. All elements in a class are related to each other.
  • In our example, this relation partitions all integers into three distinct equivalence classes:
    • Class [0]: Integers with remainder 0 → { . . . , 6 , 3 , 0 , 3 , 6 , . . . } { . . . , 6 , 3 , 0 , 3 , 6 , . . . } {...,-6,-3,0,3,6,...}\{..., -6, -3, 0, 3, 6, ...\}{...,6,3,0,3,6,...}
    • Class [1]: Integers with remainder 1 → { . . . , 5 , 2 , 1 , 4 , 7 , . . . } { . . . , 5 , 2 , 1 , 4 , 7 , . . . } {...,-5,-2,1,4,7,...}\{..., -5, -2, 1, 4, 7, ...\}{...,5,2,1,4,7,...}
    • Class [2]: Integers with remainder 2 → { . . . , 4 , 1 , 2 , 5 , 8 , . . . } { . . . , 4 , 1 , 2 , 5 , 8 , . . . } {...,-4,-1,2,5,8,...}\{..., -4, -1, 2, 5, 8, ...\}{...,4,1,2,5,8,...}
🧠 Why is this useful?
This concept is fundamental in:
  • 🔢 Mathematics: Defining rational numbers, constructing integers.
  • **💻 Computer Science**: State minimization in automata, partitioning data.
    
  • **🌐 Network Engineering**: Grouping objects into clusters based on a defining property.
    

Question:-10

There are three Companies, C 1 C 1 C_(1)C_1C1, C 2 C 2 C_(2)C_2C2, and C 3 C 3 C_(3)C_3C3. The party C 1 C 1 C_(1)C_1C1 has 4 members, C 2 C 2 C_(2)C_2C2 has 5 members, and C 3 C 3 C_(3)C_3C3 has 6 members in an assembly. Suppose we want to select two persons, both from the same Company, to become president and vice president. In how many ways can this be done?

Answer:

🧮 Step 1: Understand the Problem
We need to select two persons from the same company (one as president, one as vice president). The companies have:
  • C 1 C 1 C_(1)C_1C1: 4 members
  • C 2 C 2 C_(2)C_2C2: 5 members
  • C 3 C 3 C_(3)C_3C3: 6 members
Since the roles are distinct (president and vice president), order matters.

🔢 Step 2: Calculate Ways for Each Company
For each company, the number of ways to choose an ordered pair (president, vice president) from n n nnn members is:
n × ( n 1 ) n × ( n 1 ) n xx(n-1)n \times (n - 1)n×(n1)
  • For C 1 C 1 C_(1)C_1C1 (4 members): 4 × 3 = 12 4 × 3 = 12 4xx3=124 \times 3 = 124×3=12 ways
  • For C 2 C 2 C_(2)C_2C2 (5 members): 5 × 4 = 20 5 × 4 = 20 5xx4=205 \times 4 = 205×4=20 ways
  • For C 3 C 3 C_(3)C_3C3 (6 members): 6 × 5 = 30 6 × 5 = 30 6xx5=306 \times 5 = 306×5=30 ways

Step 3: Add the Possibilities
Since the two persons must be from the same company, we add the results from each company:
12 + 20 + 30 = 62 12 + 20 + 30 = 62 12+20+30=6212 + 20 + 30 = 6212+20+30=62

Final Answer:
62 62 62\boxed{62}62
There are 62 ways to select a president and vice president from the same company.

Question:-11

How many words can be formed using the letters of DEPARTMENT using each letter at most once?

  • If each letter must be used.
  • If some or all the letters may be omitted.

Answer:

Part (1): Each letter must be used

We have 10 10 101010 letters in total with 2 E 2 E 2E2\ E2 E's and 2 T 2 T 2T2\ T2 T's.
Number of arrangements = 10 ! 2 ! 2 ! Number of arrangements = 10 ! 2 ! 2 ! "Number of arrangements"=(10!)/(2!2!)\text{Number of arrangements} = \frac{10!}{2!\,2!}Number of arrangements=10!2!2!
Putting these values:
10 ! = 3628800 , 2 ! = 2 10 ! = 3628800 , 2 ! = 2 10!=3628800,quad2!=210! = 3628800,\quad 2! = 210!=3628800,2!=2
10 ! 2 ! 2 ! = 3628800 2 2 = 907200 (After Calculating) 10 ! 2 ! 2 ! = 3628800 2 2 = 907200 (After Calculating) (10!)/(2!2!)=(3628800)/(2*2)=907200quad(After Calculating)\frac{10!}{2!\,2!} = \frac{3628800}{2 \cdot 2} = 907200 \quad \text{(After Calculating)}10!2!2!=362880022=907200(After Calculating)
907200 907200 907200\boxed{907200}907200

Part (2): Some or all letters may be omitted

We can use each letter at most as many times as it appears.
Let:
k E { 0 , 1 , 2 } , k T { 0 , 1 , 2 } , m = number of chosen single-occurrence letters ( D , P , A , R , M , N ) . k E { 0 , 1 , 2 } , k T { 0 , 1 , 2 } , m = number of chosen single-occurrence letters  ( D , P , A , R , M , N ) . k_(E)in{0,1,2},quadk_(T)in{0,1,2},quad m="number of chosen single-occurrence letters "(D,P,A,R,M,N).k_E \in \{0,1,2\},\quad k_T \in \{0,1,2\},\quad m = \text{number of chosen single-occurrence letters }(D,P,A,R,M,N).kE{0,1,2},kT{0,1,2},m=number of chosen single-occurrence letters (D,P,A,R,M,N).
Each selection has a total length:
L = k E + k T + m L = k E + k T + m L=k_(E)+k_(T)+mL = k_E + k_T + mL=kE+kT+m
and the number of distinct permutations is:
L ! k E ! k T ! L ! k E ! k T ! (L!)/(k_(E)!k_(T)!)\frac{L!}{k_E!\,k_T!}L!kE!kT!
The total number of non-empty words is:
k E = 0 2 k T = 0 2 m = 0 6 ( 6 m ) ( m + k E + k T ) ! k E ! k T ! 0 k E = 0 2 k T = 0 2 m = 0 6 ( 6 m ) ( m + k E + k T ) ! k E ! k T ! 0 sum_(k_(E)=0)^(2)sum_(k_(T)=0)^(2)sum_(m=0)^(6)((6)/(m))*((m+k_(E)+k_(T))!)/(k_(E)!k_(T)!)-0\sum_{k_E=0}^{2}\sum_{k_T=0}^{2}\sum_{m=0}^{6} \binom{6}{m} \cdot \frac{(m+k_E+k_T)!}{k_E!\,k_T!} \;-\;0kE=02kT=02m=06(6m)(m+kE+kT)!kE!kT!0
(we subtract the empty word).
Putting these values and calculating:
2521314 2521314 2521314\boxed{2521314}2521314

Final Answer

(1) 907200 (2) 2521314 (1) 907200 (2) 2521314 {:[(1)907200],[(2)2521314]:}\begin{aligned} \text{(1)}\;& 907200 \\ \text{(2)}\;& 2521314 \end{aligned}(1)907200(2)2521314

Question:-12

What is the probability that a number between 1 and 10,000 is divisible by neither 2, 3, 5, nor 7?

Answer:

To find the probability that a randomly selected number between 1 and 10,000 is divisible by neither 2, 3, 5, nor 7, we can use the principle of inclusion-exclusion.

🧮 Step 1: Count Numbers Divisible by 2, 3, 5, or 7

Let:
  • N = 10 , 000 N = 10 , 000 N=10,000N = 10,000N=10,000
  • Let A k A k A_(k)A_kAk be the set of numbers divisible by k k kkk.
We want:
| A 2 A 3 A 5 A 7 | | A 2 A 3 A 5 A 7 | |A_(2)uuA_(3)uuA_(5)uuA_(7)||A_2 \cup A_3 \cup A_5 \cup A_7||A2A3A5A7|
Using inclusion-exclusion:
| A 2 A 3 A 5 A 7 | = | A 2 | + | A 3 | + | A 5 | + | A 7 | | A 2 A 3 | | A 2 A 5 | | A 2 A 7 | | A 3 A 5 | | A 3 A 7 | | A 5 A 7 | + | A 2 A 3 A 5 | + | A 2 A 3 A 7 | + | A 2 A 5 A 7 | + | A 3 A 5 A 7 | | A 2 A 3 A 5 A 7 | | A 2 A 3 A 5 A 7 | = | A 2 | + | A 3 | + | A 5 | + | A 7 | | A 2 A 3 | | A 2 A 5 | | A 2 A 7 | | A 3 A 5 | | A 3 A 7 | | A 5 A 7 | + | A 2 A 3 A 5 | + | A 2 A 3 A 7 | + | A 2 A 5 A 7 | + | A 3 A 5 A 7 | | A 2 A 3 A 5 A 7 | {:[|A_(2)uuA_(3)uuA_(5)uuA_(7)|=|A_(2)|+|A_(3)|+|A_(5)|+|A_(7)|],[-|A_(2)nnA_(3)|-|A_(2)nnA_(5)|-|A_(2)nnA_(7)|-|A_(3)nnA_(5)|-|A_(3)nnA_(7)|-|A_(5)nnA_(7)|],[+|A_(2)nnA_(3)nnA_(5)|+|A_(2)nnA_(3)nnA_(7)|+|A_(2)nnA_(5)nnA_(7)|+|A_(3)nnA_(5)nnA_(7)|],[-|A_(2)nnA_(3)nnA_(5)nnA_(7)|]:}\begin{align*} |A_2 \cup A_3 \cup A_5 \cup A_7| = &|A_2| + |A_3| + |A_5| + |A_7| \\ &- |A_2 \cap A_3| - |A_2 \cap A_5| - |A_2 \cap A_7| - |A_3 \cap A_5| - |A_3 \cap A_7| - |A_5 \cap A_7| \\ &+ |A_2 \cap A_3 \cap A_5| + |A_2 \cap A_3 \cap A_7| + |A_2 \cap A_5 \cap A_7| + |A_3 \cap A_5 \cap A_7| \\ &- |A_2 \cap A_3 \cap A_5 \cap A_7| \end{align*}|A2A3A5A7|=|A2|+|A3|+|A5|+|A7||A2A3||A2A5||A2A7||A3A5||A3A7||A5A7|+|A2A3A5|+|A2A3A7|+|A2A5A7|+|A3A5A7||A2A3A5A7|
Compute each term:
  • | A k | = 10000 k | A k | = 10000 k |A_(k)|=|__(10000 )/(k)__||A_k| = \left\lfloor \frac{10000}{k} \right\rfloor|Ak|=10000k
  • | A i A j | = 10000 lcm ( i , j ) | A i A j | = 10000 lcm ( i , j ) |A_(i)nnA_(j)|=|__(10000)/("lcm"(i,j))__||A_i \cap A_j| = \left\lfloor \frac{10000}{\text{lcm}(i,j)} \right\rfloor|AiAj|=10000lcm(i,j)
  • Similarly for triple and quadruple intersections.

🔢 Step 2: Compute Individual Counts

Single Divisors:

  • | A 2 | = 10000 2 = 5000 | A 2 | = 10000 2 = 5000 |A_(2)|=|__(10000)/(2)__|=5000|A_2| = \left\lfloor \frac{10000}{2} \right\rfloor = 5000|A2|=100002=5000
  • | A 3 | = 10000 3 = 3333 | A 3 | = 10000 3 = 3333 |A_(3)|=|__(10000)/(3)__|=3333|A_3| = \left\lfloor \frac{10000}{3} \right\rfloor = 3333|A3|=100003=3333
  • | A 5 | = 10000 5 = 2000 | A 5 | = 10000 5 = 2000 |A_(5)|=|__(10000)/(5)__|=2000|A_5| = \left\lfloor \frac{10000}{5} \right\rfloor = 2000|A5|=100005=2000
  • | A 7 | = 10000 7 = 1428 | A 7 | = 10000 7 = 1428 |A_(7)|=|__(10000)/(7)__|=1428|A_7| = \left\lfloor \frac{10000}{7} \right\rfloor = 1428|A7|=100007=1428

Pairwise Intersections (lcm):

  • | A 2 A 3 | = 10000 6 = 1666 | A 2 A 3 | = 10000 6 = 1666 |A_(2)nnA_(3)|=|__(10000)/(6)__|=1666|A_2 \cap A_3| = \left\lfloor \frac{10000}{6} \right\rfloor = 1666|A2A3|=100006=1666
  • | A 2 A 5 | = 10000 10 = 1000 | A 2 A 5 | = 10000 10 = 1000 |A_(2)nnA_(5)|=|__(10000)/(10)__|=1000|A_2 \cap A_5| = \left\lfloor \frac{10000}{10} \right\rfloor = 1000|A2A5|=1000010=1000
  • | A 2 A 7 | = 10000 14 = 714 | A 2 A 7 | = 10000 14 = 714 |A_(2)nnA_(7)|=|__(10000)/(14)__|=714|A_2 \cap A_7| = \left\lfloor \frac{10000}{14} \right\rfloor = 714|A2A7|=1000014=714
  • | A 3 A 5 | = 10000 15 = 666 | A 3 A 5 | = 10000 15 = 666 |A_(3)nnA_(5)|=|__(10000)/(15)__|=666|A_3 \cap A_5| = \left\lfloor \frac{10000}{15} \right\rfloor = 666|A3A5|=1000015=666
  • | A 3 A 7 | = 10000 21 = 476 | A 3 A 7 | = 10000 21 = 476 |A_(3)nnA_(7)|=|__(10000)/(21)__|=476|A_3 \cap A_7| = \left\lfloor \frac{10000}{21} \right\rfloor = 476|A3A7|=1000021=476
  • | A 5 A 7 | = 10000 35 = 285 | A 5 A 7 | = 10000 35 = 285 |A_(5)nnA_(7)|=|__(10000)/(35)__|=285|A_5 \cap A_7| = \left\lfloor \frac{10000}{35} \right\rfloor = 285|A5A7|=1000035=285

Triple Intersections:

  • | A 2 A 3 A 5 | = 10000 30 = 333 | A 2 A 3 A 5 | = 10000 30 = 333 |A_(2)nnA_(3)nnA_(5)|=|__(10000)/(30)__|=333|A_2 \cap A_3 \cap A_5| = \left\lfloor \frac{10000}{30} \right\rfloor = 333|A2A3A5|=1000030=333
  • | A 2 A 3 A 7 | = 10000 42 = 238 | A 2 A 3 A 7 | = 10000 42 = 238 |A_(2)nnA_(3)nnA_(7)|=|__(10000)/(42)__|=238|A_2 \cap A_3 \cap A_7| = \left\lfloor \frac{10000}{42} \right\rfloor = 238|A2A3A7|=1000042=238
  • | A 2 A 5 A 7 | = 10000 70 = 142 | A 2 A 5 A 7 | = 10000 70 = 142 |A_(2)nnA_(5)nnA_(7)|=|__(10000)/(70)__|=142|A_2 \cap A_5 \cap A_7| = \left\lfloor \frac{10000}{70} \right\rfloor = 142|A2A5A7|=1000070=142
  • | A 3 A 5 A 7 | = 10000 105 = 95 | A 3 A 5 A 7 | = 10000 105 = 95 |A_(3)nnA_(5)nnA_(7)|=|__(10000)/(105)__|=95|A_3 \cap A_5 \cap A_7| = \left\lfloor \frac{10000}{105} \right\rfloor = 95|A3A5A7|=10000105=95

Quadruple Intersection:

  • | A 2 A 3 A 5 A 7 | = 10000 210 = 47 | A 2 A 3 A 5 A 7 | = 10000 210 = 47 |A_(2)nnA_(3)nnA_(5)nnA_(7)|=|__(10000)/(210)__|=47|A_2 \cap A_3 \cap A_5 \cap A_7| = \left\lfloor \frac{10000}{210} \right\rfloor = 47|A2A3A5A7|=10000210=47

🧾 Step 3: Apply Inclusion-Exclusion

| A 2 A 3 A 5 A 7 | = ( 5000 + 3333 + 2000 + 1428 ) ( 1666 + 1000 + 714 + 666 + 476 + 285 ) + ( 333 + 238 + 142 + 95 ) 47 = 11761 4807 + 808 47 = 7715 | A 2 A 3 A 5 A 7 | = ( 5000 + 3333 + 2000 + 1428 ) ( 1666 + 1000 + 714 + 666 + 476 + 285 ) + ( 333 + 238 + 142 + 95 ) 47 = 11761 4807 + 808 47 = 7715 {:[|A_(2)uuA_(3)uuA_(5)uuA_(7)|=(5000+3333+2000+1428)],[-(1666+1000+714+666+476+285)],[+(333+238+142+95)],[-47],[=11761-4807+808-47],[=7715]:}\begin{align*} |A_2 \cup A_3 \cup A_5 \cup A_7| = &(5000 + 3333 + 2000 + 1428) \\ &- (1666 + 1000 + 714 + 666 + 476 + 285) \\ &+ (333 + 238 + 142 + 95) \\ &- 47 \\ = &11761 - 4807 + 808 - 47 \\ = &7715 \end{align*}|A2A3A5A7|=(5000+3333+2000+1428)(1666+1000+714+666+476+285)+(333+238+142+95)47=117614807+80847=7715
So, 7715 numbers are divisible by at least one of 2, 3, 5, or 7.

✅ Step 4: Count Numbers Not Divisible by Any

Total numbers: 10,000
Numbers divisible by none:
10000 7715 = 2285 10000 7715 = 2285 10000-7715=228510000 - 7715 = 2285100007715=2285

📊 Step 5: Compute Probability

Probability = 2285 10000 = 457 2000 = 0.2285 Probability = 2285 10000 = 457 2000 = 0.2285 "Probability"=(2285)/(10000)=(457)/(2000)=0.2285\text{Probability} = \frac{2285}{10000} = \frac{457}{2000} = 0.2285Probability=228510000=4572000=0.2285

🎯 Final Answer:

457 2000 457 2000 (457)/(2000)\boxed{\frac{457}{2000}}4572000
The probability is 457 2000 457 2000 (457)/(2000)\frac{457}{2000}4572000 or 22.85%.

Question:-13

Explain the inclusion-exclusion principle and Pigeonhole Principle with examples.

Answer:

📦 Pigeonhole Principle
If n n nnn items are put into m m mmm containers, with n > m n > m n > mn > mn>m, then at least one container must contain more than one item.
Example:
In a group of 13 people, at least 2 share the same birth month.
(12 months → 13 people → at least 1 month has ≥2 people).

🔢 Inclusion-Exclusion Principle
For sets A A AAA and B B BBB:
| A B | = | A | + | B | | A B | | A B | = | A | + | B | | A B | |A uu B|=|A|+|B|-|A nn B||A \cup B| = |A| + |B| - |A \cap B||AB|=|A|+|B||AB|
For three sets A , B , C A , B , C A,B,CA, B, CA,B,C:
| A B C | = | A | + | B | + | C | | A B | | A C | | B C | + | A B C | | A B C | = | A | + | B | + | C | | A B | | A C | | B C | + | A B C | |A uu B uu C|=|A|+|B|+|C|-|A nn B|-|A nn C|-|B nn C|+|A nn B nn C||A \cup B \cup C| = |A| + |B| + |C| - |A \cap B| - |A \cap C| - |B \cap C| + |A \cap B \cap C||ABC|=|A|+|B|+|C||AB||AC||BC|+|ABC|
Example:
In a class,
  • 20 students like Math ( | A | | A | |A||A||A|),
  • 15 like Science ( | B | | B | |B||B||B|),
  • 10 like both ( | A B | | A B | |A nn B||A \cap B||AB|).
    Number who like at least one:
| A B | = 20 + 15 10 = 25 | A B | = 20 + 15 10 = 25 |A uu B|=20+15-10=25|A \cup B| = 20 + 15 - 10 = 25|AB|=20+1510=25

Question:-14

Find an explicit recurrence relation for the minimum number of moves in which the n n nnn-disks in the Tower of Hanoi puzzle can be solved. Also, solve the obtained recurrence relation through an iterative method.

Answer:

🧠 Recurrence Relation for Tower of Hanoi
Let a n a n a_(n)a_nan be the minimum number of moves to solve the Tower of Hanoi with n n nnn disks.
Recurrence Relation:
a n = 2 a n 1 + 1 a n = 2 a n 1 + 1 a_(n)=2a_(n-1)+1a_n = 2a_{n-1} + 1an=2an1+1
with initial condition a 1 = 1 a 1 = 1 a_(1)=1a_1 = 1a1=1.
Explanation:
To move n n nnn disks from source to target:
  1. Move top n 1 n 1 n-1n-1n1 disks to auxiliary peg ( a n 1 a n 1 a_(n-1)a_{n-1}an1 moves).
  2. Move largest disk to target (1 move).
  3. Move n 1 n 1 n-1n-1n1 disks from auxiliary to target ( a n 1 a n 1 a_(n-1)a_{n-1}an1 moves).
    Total: a n = 2 a n 1 + 1 a n = 2 a n 1 + 1 a_(n)=2a_(n-1)+1a_n = 2a_{n-1} + 1an=2an1+1.

🔄 Solving the Recurrence Iteratively
a n = 2 a n 1 + 1 = 2 ( 2 a n 2 + 1 ) + 1 = 2 2 a n 2 + 2 + 1 = 2 2 ( 2 a n 3 + 1 ) + 2 + 1 = 2 3 a n 3 + 2 2 + 2 + 1 = 2 n 1 a 1 + 2 n 2 + 2 n 3 + + 2 + 1 = 2 n 1 ( 1 ) + ( 2 n 1 1 ) = 2 n 1 a n = 2 a n 1 + 1 = 2 ( 2 a n 2 + 1 ) + 1 = 2 2 a n 2 + 2 + 1 = 2 2 ( 2 a n 3 + 1 ) + 2 + 1 = 2 3 a n 3 + 2 2 + 2 + 1 = 2 n 1 a 1 + 2 n 2 + 2 n 3 + + 2 + 1 = 2 n 1 ( 1 ) + ( 2 n 1 1 ) = 2 n 1 {:[a_(n)=2a_(n-1)+1],[=2(2a_(n-2)+1)+1=2^(2)a_(n-2)+2+1],[=2^(2)(2a_(n-3)+1)+2+1=2^(3)a_(n-3)+2^(2)+2+1],[vdots],[=2^(n-1)a_(1)+2^(n-2)+2^(n-3)+cdots+2+1],[=2^(n-1)(1)+(2^(n-1)-1)],[=2^(n)-1]:}\begin{align*} a_n &= 2a_{n-1} + 1 \\ &= 2(2a_{n-2} + 1) + 1 = 2^2 a_{n-2} + 2 + 1 \\ &= 2^2(2a_{n-3} + 1) + 2 + 1 = 2^3 a_{n-3} + 2^2 + 2 + 1 \\ &\vdots \\ &= 2^{n-1} a_1 + 2^{n-2} + 2^{n-3} + \dots + 2 + 1 \\ &= 2^{n-1}(1) + (2^{n-1} - 1) \\ &= 2^n - 1 \end{align*}an=2an1+1=2(2an2+1)+1=22an2+2+1=22(2an3+1)+2+1=23an3+22+2+1=2n1a1+2n2+2n3++2+1=2n1(1)+(2n11)=2n1
Explicit Formula:
a n = 2 n 1 a n = 2 n 1 a_(n)=2^(n)-1a_n = 2^n - 1an=2n1
Example:
For n = 3 n = 3 n=3n=3n=3: a 3 = 2 3 1 = 7 a 3 = 2 3 1 = 7 a_(3)=2^(3)-1=7a_3 = 2^3 - 1 = 7a3=231=7 moves.

Question:-15

Find the solution of the recurrence relation a n = a n 1 + 2 a n 1 , n > 2 a n = a n 1 + 2 a n 1 , n > 2 a_(n)=a_(n-1)+2a_(n-1),n > 2a_n = a_{n-1} + 2a_{n-1},\ n > 2an=an1+2an1, n>2 with initial conditions a 0 = 0 a 0 = 0 a_(0)=0a_0 = 0a0=0, a 1 = 1 a 1 = 1 a_(1)=1a_1 = 1a1=1.

Answer:

🧠 Given Recurrence Relation:
a n = a n 1 + 2 a n 2 , for n > 2 a n = a n 1 + 2 a n 2 , for  n > 2 a_(n)=a_(n-1)+2a_(n-2),quad"for "n > 2a_n = a_{n-1} + 2a_{n-2}, \quad \text{for } n > 2an=an1+2an2,for n>2
with initial conditions:
a 0 = 0 , a 1 = 1 a 0 = 0 , a 1 = 1 a_(0)=0,quada_(1)=1a_0 = 0, \quad a_1 = 1a0=0,a1=1

🔍 Step 1: Solve the Characteristic Equation
Assume a solution of the form a n = r n a n = r n a_(n)=r^(n)a_n = r^nan=rn.
Substitute into the recurrence:
r n = r n 1 + 2 r n 2 r n = r n 1 + 2 r n 2 r^(n)=r^(n-1)+2r^(n-2)r^n = r^{n-1} + 2r^{n-2}rn=rn1+2rn2
Divide both sides by r n 2 r n 2 r^(n-2)r^{n-2}rn2 (assuming r 0 r 0 r!=0r \ne 0r0):
r 2 = r + 2 r 2 = r + 2 r^(2)=r+2r^2 = r + 2r2=r+2
Rewrite as:
r 2 r 2 = 0 r 2 r 2 = 0 r^(2)-r-2=0r^2 - r - 2 = 0r2r2=0
Solve the quadratic equation:
r = 1 ± 1 + 8 2 = 1 ± 3 2 r = 1 ± 1 + 8 2 = 1 ± 3 2 r=(1+-sqrt(1+8))/(2)=(1+-3)/(2)r = \frac{1 \pm \sqrt{1 + 8}}{2} = \frac{1 \pm 3}{2}r=1±1+82=1±32
So, the roots are:
r 1 = 2 , r 2 = 1 r 1 = 2 , r 2 = 1 r_(1)=2,quadr_(2)=-1r_1 = 2, \quad r_2 = -1r1=2,r2=1

📝 Step 2: General Solution
Since the roots are distinct, the general solution is:
a n = A ( 2 ) n + B ( 1 ) n a n = A ( 2 ) n + B ( 1 ) n a_(n)=A*(2)^(n)+B*(-1)^(n)a_n = A \cdot (2)^n + B \cdot (-1)^nan=A(2)n+B(1)n

🔢 Step 3: Apply Initial Conditions
Use a 0 = 0 a 0 = 0 a_(0)=0a_0 = 0a0=0:
a 0 = A ( 2 ) 0 + B ( 1 ) 0 = A + B = 0 B = A a 0 = A ( 2 ) 0 + B ( 1 ) 0 = A + B = 0 B = A a_(0)=A*(2)^(0)+B*(-1)^(0)=A+B=0quad=>quad B=-Aa_0 = A \cdot (2)^0 + B \cdot (-1)^0 = A + B = 0 \quad \Rightarrow \quad B = -Aa0=A(2)0+B(1)0=A+B=0B=A
Use a 1 = 1 a 1 = 1 a_(1)=1a_1 = 1a1=1:
a 1 = A ( 2 ) 1 + B ( 1 ) 1 = 2 A B = 1 a 1 = A ( 2 ) 1 + B ( 1 ) 1 = 2 A B = 1 a_(1)=A*(2)^(1)+B*(-1)^(1)=2A-B=1a_1 = A \cdot (2)^1 + B \cdot (-1)^1 = 2A - B = 1a1=A(2)1+B(1)1=2AB=1
Substitute B = A B = A B=-AB = -AB=A:
2 A ( A ) = 2 A + A = 3 A = 1 A = 1 3 2 A ( A ) = 2 A + A = 3 A = 1 A = 1 3 2A-(-A)=2A+A=3A=1quad=>quad A=(1)/(3)2A - (-A) = 2A + A = 3A = 1 \quad \Rightarrow \quad A = \frac{1}{3}2A(A)=2A+A=3A=1A=13
Then,
B = 1 3 B = 1 3 B=-(1)/(3)B = -\frac{1}{3}B=13

Step 4: Final Explicit Solution
a n = 1 3 2 n 1 3 ( 1 ) n = 2 n ( 1 ) n 3 a n = 1 3 2 n 1 3 ( 1 ) n = 2 n ( 1 ) n 3 a_(n)=(1)/(3)*2^(n)-(1)/(3)*(-1)^(n)=(2^(n)-(-1)^(n))/(3)a_n = \frac{1}{3} \cdot 2^n - \frac{1}{3} \cdot (-1)^n = \frac{2^n - (-1)^n}{3}an=132n13(1)n=2n(1)n3

🔎 Verification for n = 2 n = 2 n=2n=2n=2:
a 2 = a 1 + 2 a 0 = 1 + 0 = 1 a 2 = a 1 + 2 a 0 = 1 + 0 = 1 a_(2)=a_(1)+2a_(0)=1+0=1a_2 = a_1 + 2a_0 = 1 + 0 = 1a2=a1+2a0=1+0=1
From formula:
a 2 = 2 2 ( 1 ) 2 3 = 4 1 3 = 1 a 2 = 2 2 ( 1 ) 2 3 = 4 1 3 = 1 a_(2)=(2^(2)-(-1)^(2))/(3)=(4-1)/(3)=1a_2 = \frac{2^2 - (-1)^2}{3} = \frac{4 - 1}{3} = 1a2=22(1)23=413=1
✅ Matches.

🧾 Final Answer:
a n = 2 n ( 1 ) n 3 a n = 2 n ( 1 ) n 3 a_(n)=(2^(n)-(-1)^(n))/(3)\boxed{a_n = \frac{2^n - (-1)^n}{3}}an=2n(1)n3

Question:-16

Prove that the complement of G ¯ G ¯ bar(G)\bar GG¯ is G G GGG.

Answer:

🔁 Proof: The Complement of G G ¯ bar(G)\overline{G}G is G G GGG
Let G = ( V , E ) G = ( V , E ) G=(V,E)G = (V, E)G=(V,E) be a simple graph with vertex set V V VVV and edge set E E EEE.
The complement G G ¯ bar(G)\overline{G}G is defined as the graph with the same vertex set V V VVV, but where an edge exists between two distinct vertices if and only if it is not present in G G GGG.

🧠 Step 1: Define the Complement

  • For any two distinct vertices u , v V u , v V u,v in Vu, v \in Vu,vV: { u , v } E ( G ) { u , v } E ( G ) { u , v } E ( G ¯ ) { u , v } E ( G ) {u,v}in E( bar(G))Longleftrightarrow{u,v}!in E(G)\{u, v\} \in E(\overline{G}) \iff \{u, v\} \notin E(G){u,v}E(G){u,v}E(G)

🔄 Step 2: Take the Complement of G G ¯ bar(G)\overline{G}G

Let H = G H = G ¯ ¯ H= bar(bar(G))H = \overline{\overline{G}}H=G.
By definition of the complement:
For any distinct u , v V u , v V u,v in Vu, v \in Vu,vV:
{ u , v } E ( H ) { u , v } E ( G ) { u , v } E ( H ) { u , v } E ( G ¯ ) {u,v}in E(H)Longleftrightarrow{u,v}!in E( bar(G))\{u, v\} \in E(H) \iff \{u, v\} \notin E(\overline{G}){u,v}E(H){u,v}E(G)
But from the definition of G G ¯ bar(G)\overline{G}G:
{ u , v } E ( G ) { u , v } E ( G ) { u , v } E ( G ¯ ) { u , v } E ( G ) {u,v}!in E( bar(G))Longleftrightarrow{u,v}in E(G)\{u, v\} \notin E(\overline{G}) \iff \{u, v\} \in E(G){u,v}E(G){u,v}E(G)
Therefore:
{ u , v } E ( H ) { u , v } E ( G ) { u , v } E ( H ) { u , v } E ( G ) {u,v}in E(H)Longleftrightarrow{u,v}in E(G)\{u, v\} \in E(H) \iff \{u, v\} \in E(G){u,v}E(H){u,v}E(G)

✅ Step 3: Conclude H = G H = G H=GH = GH=G

Since H H HHH and G G GGG have the same vertex set V V VVV and the same edge set E E EEE, we have:
G = G G ¯ ¯ = G bar(bar(G))=G\overline{\overline{G}} = GG=G

🧾 Example:

Consider a graph G G GGG with 3 vertices and 1 edge:
  • V = { a , b , c } V = { a , b , c } V={a,b,c}V = \{a, b, c\}V={a,b,c}
  • E ( G ) = { { a , b } } E ( G ) = { { a , b } } E(G)={{a,b}}E(G) = \{\{a, b\}\}E(G)={{a,b}}
Then G G ¯ bar(G)\overline{G}G has:
  • E ( G ) = { { a , c } , { b , c } } E ( G ¯ ) = { { a , c } , { b , c } } E( bar(G))={{a,c},{b,c}}E(\overline{G}) = \{\{a, c\}, \{b, c\}\}E(G)={{a,c},{b,c}}
Taking the complement again:
  • E ( G ) = { { a , b } } = E ( G ) E ( G ¯ ¯ ) = { { a , b } } = E ( G ) E( bar(bar(G)))={{a,b}}=E(G)E(\overline{\overline{G}}) = \{\{a, b\}\} = E(G)E(G)={{a,b}}=E(G)
Thus, G = G G ¯ ¯ = G bar(bar(G))=G\overline{\overline{G}} = GG=G

🎯 Conclusion:

The complement of the complement of a graph G G GGG is G G GGG itself.
G = G G ¯ ¯ = G bar(bar(G))=G\boxed{\overline{\overline{G}} = G}G=G

Question:-17

What is the chromatic number of a graph? What is the chromatic number of the given graph?

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Answer:

To determine the chromatic number of a graph, let's break it down with some fun visuals and steps! 🎨📊

What is the Chromatic Number? 🌈

The chromatic number of a graph is the minimum number of colors needed to color the vertices of the graph such that no two adjacent vertices (connected by an edge) share the same color. Think of it like assigning different crayons 🖍️ to friends 👫👬👭 sitting next to each other at a party, so no two neighbors have the same crayon! This is super useful in scheduling, map coloring, and even planning seating arrangements. 📅🗺️

Analyzing the Given Graph 🔍

Now, let’s dive into the graph you shared! 📸 Here’s what we see:
  • The graph has vertices labeled A, B, C, D, E, F, G, H.
  • It looks like a combination of a triangle (G-A-B), a square (A-B-C-D), and a circle (D-E-F) with some internal connections (like H inside the square).
  • Let’s map out the connections (edges) step by step: 👣
    • A is connected to B, G, and D.
    • B is connected to A, C, and G.
    • C is connected to B, D, and possibly others.
    • D is connected to A, C, E, and maybe more.
    • E is connected to D and F (part of the circle).
    • F is connected to E and back to D (completing the circle).
    • G is connected to A and B (forming the triangle).
    • H seems to be inside the square (A-B-C-D) and connected to all four corners (A, B, C, D).

Step-by-Step Coloring 🎉

Let’s try to color the vertices with the fewest colors! 🖌️
  1. Start with G: Color it Color 1 (say, Red). 🔴
  2. Move to A and B (connected to G): Color A with Color 2 (Blue) and B with Color 2 (Blue) since they’re not adjacent to each other directly via G. 🔵
  3. Now C (connected to B): Since B is Blue, color C with Color 1 (Red). 🔴
  4. Next D (connected to A, C): A is Blue, C is Red, so color D with Color 3 (Green). 🟢
  5. Move to E (connected to D): D is Green, so color E with Color 1 (Red). 🔴
  6. Then F (connected to E and D): E is Red, D is Green, so color F with Color 2 (Blue). 🔵
  7. Finally H (connected to A, B, C, D): A is Blue, B is Blue, C is Red, D is Green. We need a new color since H is adjacent to all four. Color H with Color 4 (Yellow). 🟡

Checking the Coloring ✅

  • No adjacent vertices share the same color:
    • G (Red) vs. A (Blue), B (Blue) → OK.
    • A (Blue) vs. B (Blue), D (Green), G (Red) → OK (A and B not adjacent).
    • B (Blue) vs. C (Red), G (Red) → OK.
    • C (Red) vs. D (Green) → OK.
    • D (Green) vs. E (Red), A (Blue), C (Red) → OK.
    • E (Red) vs. F (Blue) → OK.
    • F (Blue) vs. D (Green) → OK.
    • H (Yellow) vs. A (Blue), B (Blue), C (Red), D (Green) → OK.
We used 4 colors (Red, Blue, Green, Yellow). 🎨

Is 4 the Minimum? 🤔

  • Can we do it with 3 colors? Let’s try! 🔄
    • If H needs a unique color (since it’s connected to A, B, C, D), and A, B, C, D form a 4-cycle (square) which requires 4 colors in some cases, 3 colors might not work. Testing shows conflicts (e.g., H adjacent to all four corners forces a fourth color). ❌
  • The presence of H connected to all four corners of the square suggests a complete subgraph K4 (all vertices connected), which requires 4 colors. 📐

Final Answer 🌟

The chromatic number of a graph is the minimum number of colors needed to color its vertices without adjacent vertices sharing the same color. For the given graph, the chromatic number is 4. 🟥🟦🟩🟨

Question:-18

Determine whether the given graph has a Hamiltonian circuit. If it has, find such a circuit. If it does not have, justify it.

Answer:

To determine whether the given graph has a Hamiltonian circuit, let’s dive into the problem with some excitement and clear steps! 🚀📊 The graph in question is the one you provided, and we’ll analyze it vertex by vertex to see if we can find a cycle that visits each vertex exactly once and returns to the starting point. If it doesn’t work, we’ll figure out why! 🔍

Understanding a Hamiltonian Circuit 🌐

A Hamiltonian circuit is a closed path in a graph that visits every vertex exactly once and returns to the starting vertex. Think of it like a treasure hunt 🗺️ where you must hit every spot (vertex) once and end up back where you started, without retracing your steps (except for the return)! 🎯

Analyzing the Given Graph 👀

Let’s look at the graph (from the image):
  • Vertices: A, B, C, D, E, F, G, H.
  • Edges (based on the diagram):
    • G is connected to A and B (forming a triangle with A and B).
    • A is connected to B, G, and D.
    • B is connected to A, G, and C.
    • C is connected to B and D.
    • D is connected to A, C, E, and possibly H (inside the square).
    • E is connected to D and F (part of a circular path).
    • F is connected to E and D (completing a triangle or cycle with D and E).
    • H appears inside the square (A-B-C-D) and seems connected to A, B, C, and D (a central point in the square).
The graph looks like a combination of a triangle (G-A-B), a square (A-B-C-D) with H in the middle connected to all four corners, and a small cycle (D-E-F). Let’s map the degrees:
  • G: 2 (A, B)
  • A: 3 (B, G, D)
  • B: 3 (A, G, C)
  • C: 2 (B, D)
  • D: 4 (A, C, E, possibly H)
  • E: 2 (D, F)
  • F: 2 (E, D)
  • H: 4 (A, B, C, D)

Checking for a Hamiltonian Circuit 🔄

A Hamiltonian circuit must include all 8 vertices (A, B, C, D, E, F, G, H) in a cycle. Let’s try to construct one step by step! 🛤️

Attempt 1: Starting at G

  • Start at GA (connected).
  • AD (connected, avoids B for now).
  • DE (connected).
  • EF (connected).
  • FD (already visited, so backtrack).
  • DC (connected).
  • CB (connected).
  • BG (connected, but we haven’t visited H yet! 🚫).
We’re stuck because H is isolated from this path. Let’s try including H.

Attempt 2: Including H

  • Start at H (center of square) → A (connected).
  • AG (connected).
  • GB (connected).
  • BC (connected).
  • CD (connected).
  • DE (connected).
  • EF (connected).
  • FD (already visited, backtrack).
  • DH (connected, but we’ve visited H, and F, E are left out).
This path (H-A-G-B-C-D) covers 6 vertices and loops back, but misses E, F, and doesn’t complete the cycle with all 8.

Attempt 3: Systematic Path

Let’s try a longer path:
  • GADEF (covers G, A, D, E, F).
  • From F, no direct path to C or B, so back to DCBG (loops but misses H).
  • Include H early: HADEF, then FD (backtrack), DCBG, but H is revisited too soon.
After multiple attempts, we notice a pattern: the graph splits into two main components:
  • G-A-B (triangle).
  • A-B-C-D-H (square with H inside).
  • D-E-F (triangle).
The vertex H is connected only to A, B, C, D, and there’s no edge from H to G, E, or F. This creates a disconnection issue.

Justification: No Hamiltonian Circuit ❌

A Hamiltonian circuit requires all 8 vertices to be in one cycle. However:
  • H is connected only to A, B, C, D (degree 4), and there are no edges from H to G, E, or F.
  • To include G, we must pass through A or B, but then returning to H without revisiting vertices is impossible because E and F (connected via D) are isolated from H’s connections.
  • The graph has a cut vertex or separation: removing D (connected to A, C, E, possibly H) disconnects E and F from the rest, and H’s lack of connection to G, E, F prevents a single cycle.
A key condition for a Hamiltonian circuit is that the graph must be connected, and the degree of each vertex should be at least n / 2 n / 2 n//2n/2n/2 (where n = 8 n = 8 n=8n = 8n=8, so 4 4 444) for a good chance, but more importantly, there must be a path linking all vertices. Here, the degree of C, E, F, G (2 each) is less than 4, and the structure (with H isolated from G, E, F) suggests no single cycle exists.

Final Answer 🌟

The given graph does not have a Hamiltonian circuit. The justification is that the vertex H is only connected to A, B, C, and D, and there are no edges connecting H to G, E, or F, causing a disconnection that prevents a cycle visiting all 8 vertices exactly once. 🚫🔗

Question:-19

Explain and prove the Handshaking Theorem, with a suitable example.

Answer:

🤝 Handshaking Theorem
In any graph, the sum of the degrees of all vertices equals twice the number of edges.
Formula:
v V deg ( v ) = 2 | E | v V deg ( v ) = 2 | E | sum_(v in V)deg(v)=2|E|\sum_{v \in V} \deg(v) = 2|E|vVdeg(v)=2|E|

🔍 Why?
Each edge contributes to the degree of two vertices (one at each end). So, summing all degrees counts each edge twice.

🧪 Example
Consider a graph with:
  • Vertices: A, B, C
  • Edges: A-B, B-C, C-A (a triangle)
Degrees:
  • deg(A) = 2
  • deg(B) = 2
  • deg(C) = 2
Sum of degrees:
2 + 2 + 2 = 6 2 + 2 + 2 = 6 2+2+2=62 + 2 + 2 = 62+2+2=6
Number of edges: 3
2 × 3 = 6 2 × 3 = 6 2xx3=62 \times 3 = 62×3=6
✅ Matches!

📐 Proof
Let G = ( V , E ) G = ( V , E ) G=(V,E)G = (V, E)G=(V,E) be a graph. Each edge e E e E e in Ee \in EeE connects two vertices. When summing degrees, each edge is counted twice (once for each endpoint). Thus:
v V deg ( v ) = 2 | E | v V deg ( v ) = 2 | E | sum_(v in V)deg(v)=2|E|\sum_{v \in V} \deg(v) = 2|E|vVdeg(v)=2|E|

🎯 Application
  • Used to verify graph constructions.
  • Proves that every graph has an even number of odd-degree vertices.

Question:-20

Explain the terms PATH, CIRCUIT, and CYCLES in the context of Graphs.

Answer:

🔵 PATH
A path is a sequence of vertices where each adjacent pair is connected by an edge.
  • No vertex is repeated.
  • Example: A B C D A B C D A rarr B rarr C rarr DA \rightarrow B \rightarrow C \rightarrow DABCD is a path from A to D.
  • 📏 Length: Number of edges in the path.
🟢 CIRCUIT
A circuit is a closed path.
  • It starts and ends at the same vertex.
  • No vertex is repeated (except the start/end).
  • Example: A B C A A B C A A rarr B rarr C rarr AA \rightarrow B \rightarrow C \rightarrow AABCA forms a circuit.
  • 🔁 Also called a cycle in some contexts (but see below).
🟠 CYCLE
A cycle is a closed path with no repeated vertices (except the start/end).
  • Often used interchangeably with circuit.
  • Example: A B C A A B C A A rarr B rarr C rarr AA \rightarrow B \rightarrow C \rightarrow AABCA is a cycle.
  • In directed graphs, edges must follow the direction.


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