Verify whether sqrt11\sqrt{11} is rational or irrational.
Answer:
🔍 Let's verify whether sqrt11\sqrt{11} is rational or irrational.
📌 Definition:
A rational number can be expressed as (p)/(q)\frac{p}{q}, where pp and qq are integers and q!=0q \ne 0. If a number cannot be expressed this way, it is irrational.
🧠 Proof by Contradiction:
Assume sqrt11\sqrt{11} is rational. Then:
sqrt11=(p)/(q)\sqrt{11} = \frac{p}{q}
where pp and qq are coprime integers (i.e., gcd(p,q)=1\gcd(p, q) = 1), and q!=0q \ne 0.
Now q^(2)q^2 is divisible by 11, so qq must also be divisible by 11. But this contradicts our assumption that pp and qq are coprime (both divisible by 11). ❌
🔚 Conclusion:
Our initial assumption that sqrt11\sqrt{11} is rational is false. Therefore, sqrt11\sqrt{11} is irrational. ✅
📝 Note:
This proof relies on the property of prime numbers. Since 11 is prime, sqrt11\sqrt{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): xx is a student
E(x)E(x): xx can appear in the exam
Symbolic Form:
EE x(S(x)^^not E(x))\exists x \; (S(x) \land \neg E(x))
2. Everyone cannot sing.
Let:
P(x)P(x): xx is a person
S(x)S(x): xx can sing
Symbolic Form:
AA x(P(x)rarr not S(x))\forall x \; (P(x) \rightarrow \neg S(x))
Question:-4
Draw the logic circuit for the following Boolean Expression: (xyz)+(x+y+z)^(')+(x^(')zy^('))(xyz) + (x+y+z)' + (x'zy').
Answer:
Question:-5
Explain whether the function f(x)=x^(2)f(x) = x^2 possesses an inverse function or not.
Answer:
🔍 Inverse Function Check for f(x)=x^(2)f(x) = x^2
📉 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:
Example: f(2)=4f(2) = 4 f(-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 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 >= 0x \geq 0), then f(x)=x^(2)f(x) = x^2 becomes one-to-one and an inverse exists:
f^(-1)(x)=sqrtxf^{-1}(x) = \sqrt{x}
Question:-6
Write the finite automata corresponding to the regular expression (a+b)^(**)ab(a + b)^*ab.
Answer:
🧠 Finite Automata for Regular Expression: (a+b)^(**)ab(a + b)^*ab
📌 Step 1: Understand the Regular Expression
(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
Since we constructed a CFG GG that generates L_(1)uuL_(2)L_1 \cup L_2, 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 GG and string ww, we can use the CYK algorithm to decide if w in L(G)w \in L(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 PP and input II, determine if PP halts on II.
Proven by Alan Turing to be undecidable: no general algorithm can solve this for all (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,ca, b, c in the set:
↺ Reflexivity: a∼aa \sim a (Every element is related to itself).
↔️ Symmetry: If a∼ba \sim b, then b∼ab \sim a (The relation is two-way).
➡️ Transitivity: If a∼ba \sim b and b∼cb \sim c, then a∼ca \sim c (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 aa and bb, a∼ba \sim b if a-ba - b is divisible by 3.
1. ✅ Reflexivity: For any integer aa, a-a=0a - a = 0, which is divisible by 3. So, a∼aa \sim a.
2. ✅ Symmetry: If a∼ba \sim b, then a-ba - b is divisible by 3. This implies b-a=-(a-b)b - a = -(a - b) is also divisible by 3. So, b∼ab \sim a.
3. ✅ Transitivity: If a∼ba \sim b and b∼cb \sim c, then a-ba - b and b-cb - c are divisible by 3. Adding these, (a-b)+(b-c)=a-c(a - b) + (b - c) = a - c is also divisible by 3. So, a∼ca \sim c.
📦 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, ...\}
Class [1]: Integers with remainder 1 → {...,-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, ...\}
🧠 Why is this useful?
This concept is fundamental in:
**💻 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_(2)C_2, and C_(3)C_3. The party C_(1)C_1 has 4 members, C_(2)C_2 has 5 members, and C_(3)C_3 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: 4 members
C_(2)C_2: 5 members
C_(3)C_3: 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 nn members is:
n xx(n-1)n \times (n - 1)
For C_(1)C_1 (4 members): 4xx3=124 \times 3 = 12 ways
For C_(2)C_2 (5 members): 5xx4=205 \times 4 = 20 ways
For C_(3)C_3 (6 members): 6xx5=306 \times 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=6212 + 20 + 30 = 62
✅ Final Answer:
62\boxed{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 1010 letters in total with 2E2\ E's and 2T2\ T's.
"Number of arrangements"=(10!)/(2!2!)\text{Number of arrangements} = \frac{10!}{2!\,2!}
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=10,000N = 10,000
Let A_(k)A_k be the set of numbers divisible by kk.
|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|
Example:
In a class,
20 students like Math (|A||A|),
15 like Science (|B||B|),
10 like both (|A nn B||A \cap B|).
Number who like at least one:
Find an explicit recurrence relation for the minimum number of moves in which the nn-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 be the minimum number of moves to solve the Tower of Hanoi with nn disks.
Recurrence Relation:
a_(n)=2a_(n-1)+1a_n = 2a_{n-1} + 1
with initial condition a_(1)=1a_1 = 1.
Explanation:
To move nn disks from source to target:
Move top n-1n-1 disks to auxiliary peg (a_(n-1)a_{n-1} moves).
Move largest disk to target (1 move).
Move n-1n-1 disks from auxiliary to target (a_(n-1)a_{n-1} moves).
Total: a_(n)=2a_(n-1)+1a_n = 2a_{n-1} + 1.
🔁 Proof: The Complement of bar(G)\overline{G} is GG
Let G=(V,E)G = (V, E) be a simple graph with vertex set VV and edge set EE.
The complement bar(G)\overline{G} is defined as the graph with the same vertex set VV, but where an edge exists between two distinct vertices if and only if it is not present in GG.
🧠 Step 1: Define the Complement
For any two distinct vertices u,v in Vu, v \in V:{u,v}in E( bar(G))Longleftrightarrow{u,v}!in E(G)\{u, v\} \in E(\overline{G}) \iff \{u, v\} \notin E(G)
🔄 Step 2: Take the Complement of bar(G)\overline{G}
Let H= bar(bar(G))H = \overline{\overline{G}}.
By definition of the complement:
For any distinct u,v in Vu, v \in V:
The complement of the complement of a graph GG is GG itself.
bar(bar(G))=G\boxed{\overline{\overline{G}} = G}
Question:-17
What is the chromatic number of a graph? What is the chromatic number of the given graph?
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! 🖌️
Start with G: Color it Color 1 (say, Red). 🔴
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. 🔵
Now C (connected to B): Since B is Blue, color C with Color 1 (Red). 🔴
Next D (connected to A, C): A is Blue, C is Red, so color D with Color 3 (Green). 🟢
Move to E (connected to D): D is Green, so color E with Color 1 (Red). 🔴
Then F (connected to E and D): E is Red, D is Green, so color F with Color 2 (Blue). 🔵
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 G → A (connected).
A → D (connected, avoids B for now).
D → E (connected).
E → F (connected).
F → D (already visited, so backtrack).
D → C (connected).
C → B (connected).
B → G (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).
A → G (connected).
G → B (connected).
B → C (connected).
C → D (connected).
D → E (connected).
E → F (connected).
F → D (already visited, backtrack).
D → H (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:
G → A → D → E → F (covers G, A, D, E, F).
From F, no direct path to C or B, so back to D → C → B → G (loops but misses H).
Include H early: H → A → D → E → F, then F → D (backtrack), D → C → B → G, 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//2n/2 (where n=8n = 8, so 44) 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:
sum_(v in V)deg(v)=2|E|\sum_{v \in V} \deg(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=62 + 2 + 2 = 6
Number of edges: 3
2xx3=62 \times 3 = 6
✅ Matches!
📐 Proof
Let G=(V,E)G = (V, E) be a graph. Each edge e in Ee \in E connects two vertices. When summing degrees, each edge is counted twice (once for each endpoint). Thus:
sum_(v in V)deg(v)=2|E|\sum_{v \in V} \deg(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 rarr B rarr C rarr DA \rightarrow B \rightarrow C \rightarrow D 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 rarr B rarr C rarr AA \rightarrow B \rightarrow C \rightarrow A 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 rarr B rarr C rarr AA \rightarrow B \rightarrow C \rightarrow A is a cycle.
In directed graphs, edges must follow the direction.