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I've got this problem:

  • Write down a definition of P-completeness analogous to the definition of NP-completeness, i.e., using polynomial-time reductions.

  • Which problems are P-complete in this sense, and why?

  • Thus, what is the problem, i.e., what must be changed if the goal is to come up with a more interesting notion of P-completeness?

I have an idea about the first part, but I don't have any idea about the second and third part. The first part is like the NP-Complete, and small change for P-Complete, which is wrong I know, but I want it that way!

Raphael
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Amir
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    What have you tried? Where did you get stuck? This site expects you to do some work and some research on your own before asking. We're not here to solve your exercises for you. – D.W. Oct 18 '13 at 18:04
  • I don't know what you mean by tried, because it's not a code that I can try different ways and get the different result. It's pure theory. On the other hand, I wrote that I understand the first part. I just wrote the whole question so every other people can understand it as well. And at last, I solved it, I just wanted to know what other people think, so I can compare it to mine. – Amir Oct 19 '13 at 19:03
  • @Amir If you think "pure theory" only permits one solutions for every problem, you are sorely mistaken. (You could also post your answer.) – Raphael Oct 28 '13 at 07:44

2 Answers2

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You should really work this out yourself, but here are a few hints.

Define P-completeness just as you say, by taking the definition of NP-completeness and changing NP to P. Then ask yourself which problems are P-complete. For a problem to be P-complete it must be in P. What about the other condition? Can you come up with a problem in P which you'd conjecture shouldn't be P-complete under your definition?

Once you've answered part 2, you will be able to answer part 3, so don't despair if you have no idea what they want in part 3 right now.

Yuval Filmus
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  • Thank you for you reply. As I told you, the first part is easy, and my problem with second and third part is not how to solve them, but how to understand them. I can't understand the questions. All the things that you wrote I know it, I read about it. Again problem is not about the hints of understanding P-Complete, but about the understanding the questions. Thanks again. – Amir Oct 17 '13 at 10:05
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Looking at the definition of P-completeness in Wikipedia may help you. So let me quote part of this article, which gives a solution to your third question:

Formally, a decision problem is P-complete (complete for the complexity class P) if it is in P and that every problem in P can be reduced to it by using an appropriate reduction.

The specific type of reduction used varies and may affect the exact set of problems. If we use NC reductions, then all P-complete problems lie outside NC and so cannot be effectively parallelized, under the unproven assumption that NC ≠ P. If we use the weaker log-space reduction, this remains true, but additionally we learn that all P-complete problems lie outside L under the weaker unproven assumption that L ≠ P. In this latter case the set P-complete may be smaller.

But if you use polynomial reduction instead, the set of P-complete problems will be P, and thus the definition would not be very exciting.

Community
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J.-E. Pin
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  • "the set of P-complete problems will be P" -- wrong, but almost right; don't forget $\emptyset$ and $\Sigma^*$. – Raphael Mar 16 '15 at 09:48