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For problems X and Y, Y is NP-complete and X reduces to Y in polynomial time. Which of the following is TRUE?
  • a)
    If X can be solved in polynomial time, then so can Y
  • b)
    X is NP-complete
  • c)
    X is NP-hard '
  • d)
    X is in NP, but not necessarily NP-complete
Correct answer is option 'B'. Can you explain this answer?
Verified Answer
For problems X and Y, Y is NP-complete and X reduces to Y in polynomia...
X is reducible to NPC.
Hence X is also NPC
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Most Upvoted Answer
For problems X and Y, Y is NP-complete and X reduces to Y in polynomia...
Explanation:

To understand the answer, let's first define what it means for a problem to be NP-complete, NP-hard, and in NP.

- NP-complete: A problem is NP-complete if it is both in NP (nondeterministic polynomial time) and every problem in NP can be reduced to it in polynomial time. In other words, if we can solve an NP-complete problem in polynomial time, then we can solve every problem in NP in polynomial time.

- NP-hard: A problem is NP-hard if every problem in NP can be reduced to it in polynomial time. NP-hard problems do not necessarily need to be in NP themselves.

- NP: A problem is in NP if a solution to it can be verified in polynomial time. NP stands for nondeterministic polynomial time, which means that there may exist an algorithm that can solve the problem in polynomial time, but we cannot guarantee it.

Explanation of Options:

a) If X can be solved in polynomial time, then so can Y: This statement is not necessarily true. Just because X reduces to Y in polynomial time does not mean that Y can be solved in polynomial time. It only means that if we can solve Y in polynomial time, then we can also solve X in polynomial time.

b) X is NP-complete: This statement is true. If X reduces to Y in polynomial time and Y is NP-complete, then X must also be NP-complete. This is because if we can solve Y in polynomial time, we can solve every problem in NP in polynomial time, including X.

c) X is NP-hard: This statement is not necessarily true. X is only NP-hard if every problem in NP can be reduced to it in polynomial time. We know that X reduces to Y in polynomial time, but this does not imply that every problem in NP can be reduced to X.

d) X is in NP, but not necessarily NP-complete: This statement is also not necessarily true. We know that X reduces to Y in polynomial time, which means that if we have a solution to Y, we can verify it for X in polynomial time. However, this does not necessarily mean that X is in NP. It may be possible that X is not in NP.

Therefore, the correct answer is option 'b'. X is NP-complete.
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Community Answer
For problems X and Y, Y is NP-complete and X reduces to Y in polynomia...
X is not np card how can it be np complete ??
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Understanding the Complexity ClassesIn computational theory, problems are categorized into complexity classes based on the resources required to solve them. Here, we focus on four specific problems: PATH, HAMPATH, SAT, and 3SAT, to determine which belong to class P.What is Class P?- Class P consists of decision problems that can be solved by a deterministic Turing machine in polynomial time.- If a problem is in P, it means there exists an algorithm that can solve it efficiently for all input sizes.Analysis of Each Problem- PATH: - The problem asks whether there exists a path between two vertices in a graph. - This can be solved using Depth-First Search (DFS) or Breadth-First Search (BFS), both of which run in polynomial time. - Conclusion: PATH is in P.- HAMPATH: - This problem involves determining whether there is a Hamiltonian path in a graph (a path that visits each vertex exactly onc e). - HAMPATH is NP-complete, meaning it is not known to be solvable in polynomial time. - Conclusion: HAMPATH is not in P.- SAT (Satisfiability): - SAT asks whether a boolean formula can be satisfied by some assignment of truth values. - While SAT is NP-complete, it was proven to be in NP, and due to advancements, it can be solved in polynomial time for specific cases. - Conclusion: SAT is not in P generally.- 3SAT: - This is a specific case of SAT where the formula is in conjunctive normal form with exactly three literals per clause. - 3SAT is also NP-complete and does not have known polynomial-time solutions. - Conclusion: 3SAT is not in P.Final ConclusionBased on the analyses, the problems that belong to class P are:- Option A: SAT - Not generally in P.- Option C: PATH - In P.Thus, only PATH is confirmed to be in P.

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For problems X and Y, Y is NP-complete and X reduces to Y in polynomial time. Which of the following is TRUE?a)If X can be solved in polynomial time, then so can Yb)X is NP-completec)X is NP-hard 'd)X is in NP, but not necessarily NP-completeCorrect answer is option 'B'. Can you explain this answer?
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