Solve this proof with no premises: (~Q->~P)->((~Q->P)->Q)

Q: What distinguishes an IPA file from an AM file when it comes to an iOS device?

A: IPA (iOS App Store Package) and AM (Application Archive) files are both related to iOS applications,…

Q: with explanation as I*m beginner in K-Map. will Surely Upvote. Will appreciate if Handwritten…

A: As per the given question, it's not mentioned that it's sum of product or product of sum. ( Minterms…

Q: - f(n) = log n²; g(n) = log n + 5 - f(n) = n; g(n) = log n? - f(n) = log log n; g(n) = log n f(n) =…

A: analysis for the above example is in step 2.

Q: Justify that the Master theorem may be used for solving recurrences of the specified form. Solve the…

A: Master Theorem can be applied to all recurrence relation which are in the form,  T(n) =aT(n/b) +cnk

Q: Prove that (p →(q →r)) → ((p →q) →(p →r)) ≡ T for all propositions p, q, r.

A: A tautology is a logical statement that is true for all possible truth values of its propositional…

Q: Q(n) = { 4 2.Q(n-1)-3 if n = 0 if n>0

A: Answer: Given  Q(n) = 2n + 3, for all n ≥ 0

Q: a)    (p ∧ ~q) ∧ p True False

A: Tell if the statements are true or false. Let p: 3 + 5 = 6; q: 5 + 5 = 10. (a)    (p ∧ ~q) ∧ p True…

Q: *p → q)^(¬q v q) is Contradiction) true false

A: True

Q: 2. (a) Write down the formal definition (not the limit definition) for f(n) = (g(n)).

A: Here is the explanation regrading the equation f(n) = Θ(g(n)):

Q: Construct a truth table to show if (¬p V g) + (¬p A q) is a tautology or a contradiction or neither.…

A: A pattern obtained by combining two or more statements using logical connectives is called statement…

Q: Given: e-NFA M2 = ({A,B,C}, {0,1}, delta, A, {C}) where delta: (A,0) -> {C}, (A,1) -> {B}, (A,e)…

A:

Q: Is the following set of connectives functionally complete? Use truth table to explain. {→, ⊥}

A: Is the following set of connectives functionally complete? Use truth table to explain. {→, ⊥}

Q: :Q×(EU{2})→ P(Q)) respectively, where E={a,b}. а, b a a,b a,b b a

A: 1)  Let the final state be called q2 and other remaining state be q1.  Therefore the transition…

Q: L={x∈{a,b}*| no prefix of x has more b’s than a’s} Prove L is non regular using the pumping lemma

A: The pumping lemma is often used to prove that a particular language is non-regular.

Q: s A ⊆ B if  A = {8, 10, 12, 14}  and  B = {8, 10, 12, 16, 20}?

A: Here,  The elements of set A are { 8, 10, 12, 14 } And the elements of set B are { 8, 10, 12, 16, 20…

Q: Q5:- Required please Solve with complete explanation.I Need step by step with explanation as I*m…

A: A Karnaugh map (K-map) is the visual method used to simply the algebraic expression in boolean…

Q: Show that t~q is logically equivalent to (t v~q) → (~t^ q) Show that ~[(pv~q) ^ (pvq)] is logically…

A: We want to show that t ↔ ~q is logically equivalent to (t v ~q) → (~t ∧ q) without using a truth…

Q: truth table of q∨(~p∧q)

A: Truth Table

Q: Briefly explain how the following tautologies may be used in the method of proof by contradiction:…

A: According to the given question   (~p  implies  (q ^~q)) implies p.

Q: Given: e-NFA M2 = ({A,B,C}, {0,1}, delta, A, {C}) where delta: (A,0) -> {C}, (A,1) -> {B},…

A:

Q: dentify the correct steps involved in showing that f−1(S ∩ T) = f−1(S) ∩ f−1(T).

A: Given that  f-1 (S ∩ T) = f-1 .(S) ∩ f-1 (T)  Compute the LHS = RHS. Take the LHS and prove its…

Q: 4. Using the substituion method and T(1) = 0, solve the following recurrence relations a) T(n) =…

A: a)

Q: Prove ¬(p V (¬p ^ q)) = ¬p ^ ¬q.

A: In Step 2: I have provided  prove using  Properties-------------- In Step 3: I have provided  prove…

Q: De Morgan's Theorem is an example of the Rule of Replacement. Use a truth table to show that ~(p^ q)…

A: - We need a truth table to illustrate the equation shown.

Q: IN SML USE PATTERN MATCHING Implement a function lessThan that compares two fractions x and y and…

A: According to the information given:- We have to implement the less than function that compares 2…

Q: Given: e-NFA M2 = ({A,B,C}, {0,1}, delta, A, {C}) where delta: (A,0) -> {C}, (A,1) -> {B}, (A,e)…

A: Here the initial state A and final state is C.  The symbol in language is 0,1

Q: Algorithm for Modified Soluble Schreier Method procedure derived_normal_closure( G : group; vat N :…

A: given data: procedure derived_normal_closure( G : group; vat N : group; y : element of G ); (*…

Q: Theory of Computation Prove that L is decidable L = { ⟨P,w⟩ | P is a PDA where w ∈ L(P) }

A: A language is deemed as decidable if there exists a systematic method i.e. an algorithm for its…

Q: Simplify the following proposition: (P=Q)^(P=¬Q)

A: Given Data :  (P -> Q) ^ (P -> ¬ Q)

Q: (1) Show the solution of following recurrence relation T(n) is O (nlogn) by using substitution…

A: The big-O notation is a type of asymptotic notation that is used to describe the order of growth of…

Q: Based on the pumping lemma, if L is regular, then 3k > 1 (V strings w E L, where |w| >k (3x, y, z (w…

A: A key idea in formal language theory is the Pumping Lemma, which offers a standard for demonstrating…

Q: analyze the running time, getting that M(n) = Ω(n log(n)) recurrence relation

A: Ω represents the best case time complexity which gives the tightest lower bound of the function.…

Q: Simplify m∨(¬s∧s) to m

A: Answer: Given expression is: m∨(¬s∧s) to m

Q: Show that the number of as that appear in a lengthn (c) string in {a, b, c} that doesn't have aa as…

A: Recurrence Relation: “ In science, a repeat connection is an condition that recursively…

Q: Prove that L+ = L* if and only if ɛ ∈ L.

A: The main difference between L+ and L* is epsilon.

Q: Is ( (P→Q) ˄ Q ) → P true or false? You need to prove your answer

A: Illustrated the given boolean expression true or false

Q: The recurrence relation T(1) = 2 %3D T(n) = 3T (n/4) + n, has the solution then T(n) %3D equals to

A: here have to determine result of T(n) for possible solution.

Intelligent Machines

Machines that use artificial intelligence to learn from the environment and past experiences to perform better in the presence of variability and uncertainty are called intelligent machines. Intelligence develops according to environment and experience. It is human-like behavior. When the computer system or any programmed machine learns from the inputs and corresponding outputs, it can be called an intelligent machine.