i. Convert the following NFA (given in its transition table) to its equivalent DFA using subset construction. [→ denotes start state and * denotes final state(s)] State 1 /Symbol →p {p, q} {p} {r} {s} {s} {r} {} {s} b. *s ii. Convert the NFA/ E-NFA (given in its transition table) to its equivalent DFA using subset construction. State 1 →q0 ql q2 *q3 /Symbol {} {q0} {} {} {ql} {ql} {q2} {} {} {q3} {} {}

i. Convert the following NFA (given in its transition table) to its equivalent DFA using subset construction. [→ denotes start state and * denotes final state(s)] State 1 /Symbol →p {p, q} {p} {r} {s} {s} {r} {} {s} b. s ii. Convert the NFA/ E-NFA (given in its transition table) to its equivalent DFA using subset construction. State 1 →q0 ql q2 q3 /Symbol {} {q0} {} {} {ql} {ql} {q2} {} {} {q3} {} {}

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

See similar textbooks

Similar questions

Determine whether the following is true or false. Please cite the brief explanation so that I can know why is it true or false. A) 1 ∈ {{1},{2},{3}} B) A\B = A ∩ B^c C) The contrapositive of p -> (p V ¬p) = (¬p∧ q) -> ¬p
Translate each of these nested quantifications into an English statement that expresses a mathematicalfact. The domain in each case consists of all real numbers.a) ∃x∀y(x + y = y) b) ∀x∀y (((x ≥ 0) ∧ (y < 0)) → (x − y > 0))c) ∃x∃y(((x ≤ 0) ∧ (y ≤ 0)) ∧ (x − y > 0))d) ∀x∀y((x ≠ 0) ∧ (y ≠ 0) ↔ (xy ≠ 0))
For the following pairs of expressions, find a unifier for each pair if a unifier exists. If a unifierdoes not exist, explain why.(a) p(X,Y) and p(a,Z)(b) p(X,X) and p(a,b)(c) f(X,Y) and f(a,g(a))(d) q(X) and ¬q(a)
Present a coding technnique that accepts 2 numbers x,y that will result into a transformation L: R^2 -> R^2 Example: L(x,y) = (x-y,x+y) .
Simplify the following assertions (so that ¬ does not appear). a) ¬((∃a ∈ A,((∀b ∈ B, a × b = 2) ⇒ (∃b ∈ B, a + b ≠ 3))) & (∀a ∈ A, ∃b ∈ B, ((a+b = 5)∨(a−b = 5)))) b) ¬((∃a ∈ A, ∀b ∈ B, ((a + b = 3) ∨ (a - b = 3))) & (∀a ∈ A, ((∃b ∈ B, a × b = 7) ⇒ (∀b ∈ B, a + b ≠ 4)))) c) ¬((∃a ∈ A, ∀b ∈ B, ((a + b = 2) & (a - b = 2))) ∨ (∀a ∈ A, ((∃b ∈ B, a + b = 7) ⇒ (∀b ∈ B, a + b = 5)))) d) ¬((∀a ∈ A,((∃b ∈ B, a - b = 4) ∨ (∀b ∈ B, a + b ≠ 2))) & (∃a ∈ A, ∀b ∈ B, ((a+b = 5)∨(a−b = 5))))
Reduce the proposition using laws Simplify q∨(w∧¬w) to q Select a law from below to apply to: q∨(w∧¬w) Laws Distributive (a∧b)∨(a∧c)≡a∧(b∨c) (a∨b)∧(a∨c)≡a∨(b∧c) Commutative a∨b≡b∨a a∧b≡b∧a Complement a∨¬a≡T a∧¬a≡F Identity a∧T≡a a∨F≡a Double negation ¬¬a≡a
Reduce the proposition using laws. Simplify (q∨p)∧(¬p∨q) to q Select a law from below to apply to: (q∨p)∧(¬p∨q) Laws Distributive (a∧b)∨(a∧c)≡a∧(b∨c) (a∨b)∧(a∨c)≡a∨(b∧c) Commutative a∨b≡b∨a a∧b≡b∧a Complement a∨¬a≡T a∧¬a≡F Identity a∧T≡a a∨F≡a Double negation ¬¬a≡a
Exercise 1.4.2: Truth tables to prove logical equivalence. About Use truth tables to show that the following pairs of expressions are logically equivalent. (a) p ↔ q and (p → q) ∧ (q → p) (b) ¬(p ↔ q) and ¬p ↔ q (c) ¬p → q and p ∨ q
Use the Laws of Equivalence State clearly which law(s) you are using in each step.(a) R → (¬Q → P) ≡ ¬Q → (R → P)
Consider a base 26 number system wherein the letters of the alphabet are the digits. That is, A=0, B=1, C=2, … Z=25 in base 10. Use the MAL as a number in the base 26 system, and KHA as another number in the base 26 system.Add these numbers together to obtain the sum in based 26. Example 1 — if your first name is “Peter” and your surname is “Pan”, then add up PET26 and PAN26, and show the sum in base 26.Example 2 — if your first name is “Peter” and your surname is “Pa”, then add up PET26 and PAA26, and show the sum in base 26.
I need help with this question of Data Structures and Algorithmns with explanation 1) True or False a) If g1(n) = O(f1(n)) and g2(n) = O(f2(n)), then g1 x g2 = O(f1(n) x f2(n)) (True or False) b) If f(n) = logan and g(n) = logbn , then f(n) = Θ(g(n)) (True or False)
I need help with this question of Data Structures and Algorithmns 1) True or False a) If g1(n) = O(f1(n)) and g2(n) = O(f2(n)), then g1 x g2 = O(f1(n) x f2(n)) (True or False) b) If f(n) = logan and g(n) = logbn , then f(n) = Θ(g(n)) (True or False)