Exploring Number Theory and Regular Languages: Master Level Problem Solutions
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22 slides
Jun 25, 2024
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About This Presentation
Embark on a journey through Number Theory and Regular Languages with our in-depth presentation, where we delve into solving advanced master-level questions. This video provides comprehensive explanations and detailed solutions, aimed at deepening your understanding of these critical areas within com...
Embark on a journey through Number Theory and Regular Languages with our in-depth presentation, where we delve into solving advanced master-level questions. This video provides comprehensive explanations and detailed solutions, aimed at deepening your understanding of these critical areas within computer science.
From exploring the foundational concepts of number theory, including prime numbers and modular arithmetic, to unraveling the intricacies of regular languages and their applications in formal language theory, this presentation equips viewers with essential knowledge and problem-solving techniques.
Whether you're a student seeking clarity or a professional looking to expand your expertise, this resource-rich video promises to enrich your understanding and skills.
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Size: 494.6 KB
Language: en
Added: Jun 25, 2024
Slides: 22 pages
Slide Content
Topic: Number theory and regular languages For any Assignment related queries, Call us at : +1( 607)-3256-406 You can mail us at : - [email protected] Reach us at : - https://www.computersciencehomeworkhelper.com/ Computer Science Homework Helper
Welcome to our presentation on Number Theory and Regular Languages . This PowerPoint explores fundamental concepts and connections between these two areas of computer science and mathematics. We'll delve into the principles of number theory and the theory of regular languages, showcasing their applications through solved examples. This material is ideal for enhancing your understanding and problem-solving skills in these domains. Introduction https://www.computersciencehomeworkhelper.com/
1. Recall the protocol by which Alice commits herself to a bit x ∈ { , 1 } without revealing x to Bob. Namely, Alice first chooses two large random prime numbers P and Q , one of which ends in a ‘7’ if and only if x = 1. She then computes their product N = PQ and sends N to Bob, but keeps the factors P and Q to herself. To reveal the value of x later, Alice sends P and Q to Bob, whereupon Bob checks that ( i ) P and Q encode the claimed value of x , (ii) P and Q are indeed prime numbers, and https://www.computersciencehomeworkhelper.com/
(iii) PQ = N . Suppose Bob forgets to check that P and Q are prime. Does the protocol still work correctly, and if not, what can go wrong? Solution: https://www.computersciencehomeworkhelper.com/
If P and Q are not prime, Alice could generate composite numbers that fit the bit pattern criteria without following the proper protocol. For instance, she could pick composite numbers that end in '7' but are not primes, or create a product N that fits the claimed value of x incorrectly. https://www.computersciencehomeworkhelper.com/
2. Dishonest Commitment : Alice could cheat by choosing PPP and QQQ such that they do not adhere to the original rules (one ending in '7' if x=1) but still produce a valid product N. This would make it possible for her to change her commitment later, revealing a different x than initially committed. 3.Factoring Misleading : Without the primality check, Bob may not realize that P and Q do not uniquely define N (since the product of two non-primes can be decomposed in multiple ways). This undermines the security of the protocol since the commitment might not be binding or hiding anymore. https://www.computersciencehomeworkhelper.com/
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Bob fails to realize that Alice did not follow the correct procedure since the primality check is missing. This allows Alice to manipulate the protocol and commit to x without adhering to the rules. If Bob omits the primality check, the protocol fails to function correctly because Alice can exploit the lack of verification to commit to a value incorrectly or alter her commitment. The primality check is crucial to ensure that PPP and Q are valid prime numbers, maintaining the integrity and security of the commitment scheme https://www.computersciencehomeworkhelper.com/
2 . Recall Euclid’s algorithm for computing GCD ( A, B ) for positive integers A ≥ B , which is given by the following recursive pseudocode : if B divides A then return B els e retur n G C D ( B , A m o d B ) Show that, if initialized on n -bit integers A ≥ B , Euclid’s algorithm halts after at most 2 n iterations. [ Hint: Let A t ≥ B t be the arguments to the GCD function at the t th iteration, so that A 1 = A and B 1 = B . What can you say about the decrease of A t , as a function of t ?] https://www.computersciencehomeworkhelper.com/
Solution: To show that Euclid’s algorithm for computing the GCD of two positive integers A and B (with A≥B) halts after at most 2n iterations when initialized on n-bit integers, we need to analyze how the values of A and B decrease with each iteration of the algorithm. Recall the pseudocode for Euclid's algorithm: GCD(A, B): if B divides A then return B else return GCD(B, A mod B) https://www.computersciencehomeworkhelper.com/
Decrease of At The crucial insight is that the value of At decreases significantly in a controlled manner as the iterations proceed. Specifically, it is known that the sequence At decreases at least exponentially every two iterations. This behavior can be formally described using properties of Fibonacci numbers, but here we'll use a simpler reasoning. https://www.computersciencehomeworkhelper.com/
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Show that any language L containing only finitely many strings is regular. https://www.computersciencehomeworkhelper.com/
Solution: To show that any language L containing only finitely many strings is regular, we need to demonstrate that L can be recognized by a finite automaton. Regular languages are those that can be recognized by deterministic finite automata (DFAs), nondeterministic finite automata (NFAs), or can be described by regular expressions. https://www.computersciencehomeworkhelper.com/
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Since we can construct a finite automaton to recognize any finite set of strings, any language containing only finitely many strings is regular. This demonstrates that L is a regular language. https://www.computersciencehomeworkhelper.com/
Conclusion Thank you for exploring Number Theory and Regular Languages with us. We hope the solved questions and detailed explanations have deepened your knowledge and appreciation of these fascinating topics. For more resources and assistance with your computer science studies, visit us at computersciencehomeworkhelper.com . Continue to explore and master these foundational areas to excel in your academic and professional pursuits. https://www.computersciencehomeworkhelper.com/