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Is “Reachable Object” really an NP-complete problem?



Planned maintenance scheduled April 23, 2019 at 23:30 UTC (7:30pm US/Eastern)
Announcing the arrival of Valued Associate #679: Cesar Manara
Unicorn Meta Zoo #1: Why another podcast?Reducing TSP to HAM-CYCLE to VERTEX-COVER to CLIQUE to 3 CNF-SAT to SATHardness of counting solutions to NP-Complete problems, assuming a type of reductionCan one reduce a problem of unknown complexity to a hard problem to show hardness?NP Completeness of 3-SAT problemWhy do we assume that a nondeterministic Turing machine decides a language in NP in $n^k-3$ in Sipser's proofDirect NP-Complete proofsThe initial NP-complete problemProving NP-Complete HelpProof that TAUT is coNP-complete (or that a problem is coNP-complete if its complement is NP-complete)How to use SAT reductions to prove set-splitting problem is NP-Complete?










8












$begingroup$


I was reading this paper where the authors explain Theorem 1, which states "Reachable Object" (as defined in the paper) is NP-complete. However, they prove the reduction only in one direction, i.e. from 2P1N SAT to Reachable Object. This only proves that the problem is NP-hard; do we not need to prove the reverse direction (2P1N to Reachable Object) to prove NP-completeness?










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  • $begingroup$
    The authors have not proven that the problem lies in NP, they have only claimed that it does (and that it is easy to prove this). They do have proven NP-hardness.
    $endgroup$
    – Discrete lizard
    2 days ago







  • 6




    $begingroup$
    I just want you to know that the symbol is in, not epsilon.
    $endgroup$
    – Alice Ryhl
    2 days ago















8












$begingroup$


I was reading this paper where the authors explain Theorem 1, which states "Reachable Object" (as defined in the paper) is NP-complete. However, they prove the reduction only in one direction, i.e. from 2P1N SAT to Reachable Object. This only proves that the problem is NP-hard; do we not need to prove the reverse direction (2P1N to Reachable Object) to prove NP-completeness?










share|cite|improve this question









New contributor




Infinity is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.







$endgroup$











  • $begingroup$
    The authors have not proven that the problem lies in NP, they have only claimed that it does (and that it is easy to prove this). They do have proven NP-hardness.
    $endgroup$
    – Discrete lizard
    2 days ago







  • 6




    $begingroup$
    I just want you to know that the symbol is in, not epsilon.
    $endgroup$
    – Alice Ryhl
    2 days ago













8












8








8





$begingroup$


I was reading this paper where the authors explain Theorem 1, which states "Reachable Object" (as defined in the paper) is NP-complete. However, they prove the reduction only in one direction, i.e. from 2P1N SAT to Reachable Object. This only proves that the problem is NP-hard; do we not need to prove the reverse direction (2P1N to Reachable Object) to prove NP-completeness?










share|cite|improve this question









New contributor




Infinity is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.







$endgroup$




I was reading this paper where the authors explain Theorem 1, which states "Reachable Object" (as defined in the paper) is NP-complete. However, they prove the reduction only in one direction, i.e. from 2P1N SAT to Reachable Object. This only proves that the problem is NP-hard; do we not need to prove the reverse direction (2P1N to Reachable Object) to prove NP-completeness?







complexity-theory np-complete np-hard satisfiability






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New contributor




Infinity is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.











share|cite|improve this question









New contributor




Infinity is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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share|cite|improve this question




share|cite|improve this question








edited yesterday









ruakh

22417




22417






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asked 2 days ago









InfinityInfinity

435




435




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Infinity is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.






Infinity is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.











  • $begingroup$
    The authors have not proven that the problem lies in NP, they have only claimed that it does (and that it is easy to prove this). They do have proven NP-hardness.
    $endgroup$
    – Discrete lizard
    2 days ago







  • 6




    $begingroup$
    I just want you to know that the symbol is in, not epsilon.
    $endgroup$
    – Alice Ryhl
    2 days ago
















  • $begingroup$
    The authors have not proven that the problem lies in NP, they have only claimed that it does (and that it is easy to prove this). They do have proven NP-hardness.
    $endgroup$
    – Discrete lizard
    2 days ago







  • 6




    $begingroup$
    I just want you to know that the symbol is in, not epsilon.
    $endgroup$
    – Alice Ryhl
    2 days ago















$begingroup$
The authors have not proven that the problem lies in NP, they have only claimed that it does (and that it is easy to prove this). They do have proven NP-hardness.
$endgroup$
– Discrete lizard
2 days ago





$begingroup$
The authors have not proven that the problem lies in NP, they have only claimed that it does (and that it is easy to prove this). They do have proven NP-hardness.
$endgroup$
– Discrete lizard
2 days ago





6




6




$begingroup$
I just want you to know that the symbol is in, not epsilon.
$endgroup$
– Alice Ryhl
2 days ago




$begingroup$
I just want you to know that the symbol is in, not epsilon.
$endgroup$
– Alice Ryhl
2 days ago










2 Answers
2






active

oldest

votes


















11












$begingroup$

A problem $P$ is NP-complete if:




  1. $P$ is NP-hard and


  2. $P in textbfNP$.

The authors give a proof of item number 1. Item number 2 is probably apparent (and should be clear to the paper's audience). For the proof of item number 1, you only need a (many-one) reduction from some NP-complete problem (e.g., SAT) to $P$; there is no need to construct a reduction in the opposite direction.






share|cite|improve this answer









$endgroup$








  • 2




    $begingroup$
    In case anyone is still confused, 2 is trivial because to be in NP means that you can quickly (polynomial time) verify a solution to the problem. Here, a solution can be verified by simply performing the swaps as stated in the solution and checking that you reach the desired object.
    $endgroup$
    – Steven Lowes
    2 days ago






  • 1




    $begingroup$
    @StevenLowes The only thing you would still have to verify is that the number of swaps required is polynomial. This too is not that hard to see, as I explain in my answer.
    $endgroup$
    – Discrete lizard
    2 days ago










  • $begingroup$
    I had misread the paper and assumed it was not possible for a sequence to require more than N swaps - you're right :)
    $endgroup$
    – Steven Lowes
    2 days ago










  • $begingroup$
    @StevenLowes: Well, it had also better be (expressible as) a decision problem. There are NP-hard problems that are not decision problems at all, which are obviously not going to be in NP no matter how easy they are to "verify."
    $endgroup$
    – Kevin
    yesterday



















5












$begingroup$

The authors claim that it is easy to show that the problem lies in NP. To prove this claim, take a sequence of swaps that leads to a state as a witness that the state is reachable. Given such a sequence of polynomial size, we can verify in polynomial time that the state is indeed reachable by performing the swaps.



What remains to be shown is that there is a sequence of swaps that has polynomial size. Note that since each agent has strict preferences and will only swap if it can make a trade that gives it a better object, each agent can swap at most $n$ times. As there are at most $n$ agents, each sequence of swaps has at most $n^2$ swaps.




I think that if there were non-strict preferences, it might be possible that some items will have to move across long cycles to reach certain states, and that in particular there exist states where all sequences of swaps have exponential size. However, I cannot think of an immediate example of such a problem. At the least, it is no longer 'easy' to show the problem with non-strict preferences is in NP.






share|cite|improve this answer











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    2 Answers
    2






    active

    oldest

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    2 Answers
    2






    active

    oldest

    votes









    active

    oldest

    votes






    active

    oldest

    votes









    11












    $begingroup$

    A problem $P$ is NP-complete if:




    1. $P$ is NP-hard and


    2. $P in textbfNP$.

    The authors give a proof of item number 1. Item number 2 is probably apparent (and should be clear to the paper's audience). For the proof of item number 1, you only need a (many-one) reduction from some NP-complete problem (e.g., SAT) to $P$; there is no need to construct a reduction in the opposite direction.






    share|cite|improve this answer









    $endgroup$








    • 2




      $begingroup$
      In case anyone is still confused, 2 is trivial because to be in NP means that you can quickly (polynomial time) verify a solution to the problem. Here, a solution can be verified by simply performing the swaps as stated in the solution and checking that you reach the desired object.
      $endgroup$
      – Steven Lowes
      2 days ago






    • 1




      $begingroup$
      @StevenLowes The only thing you would still have to verify is that the number of swaps required is polynomial. This too is not that hard to see, as I explain in my answer.
      $endgroup$
      – Discrete lizard
      2 days ago










    • $begingroup$
      I had misread the paper and assumed it was not possible for a sequence to require more than N swaps - you're right :)
      $endgroup$
      – Steven Lowes
      2 days ago










    • $begingroup$
      @StevenLowes: Well, it had also better be (expressible as) a decision problem. There are NP-hard problems that are not decision problems at all, which are obviously not going to be in NP no matter how easy they are to "verify."
      $endgroup$
      – Kevin
      yesterday
















    11












    $begingroup$

    A problem $P$ is NP-complete if:




    1. $P$ is NP-hard and


    2. $P in textbfNP$.

    The authors give a proof of item number 1. Item number 2 is probably apparent (and should be clear to the paper's audience). For the proof of item number 1, you only need a (many-one) reduction from some NP-complete problem (e.g., SAT) to $P$; there is no need to construct a reduction in the opposite direction.






    share|cite|improve this answer









    $endgroup$








    • 2




      $begingroup$
      In case anyone is still confused, 2 is trivial because to be in NP means that you can quickly (polynomial time) verify a solution to the problem. Here, a solution can be verified by simply performing the swaps as stated in the solution and checking that you reach the desired object.
      $endgroup$
      – Steven Lowes
      2 days ago






    • 1




      $begingroup$
      @StevenLowes The only thing you would still have to verify is that the number of swaps required is polynomial. This too is not that hard to see, as I explain in my answer.
      $endgroup$
      – Discrete lizard
      2 days ago










    • $begingroup$
      I had misread the paper and assumed it was not possible for a sequence to require more than N swaps - you're right :)
      $endgroup$
      – Steven Lowes
      2 days ago










    • $begingroup$
      @StevenLowes: Well, it had also better be (expressible as) a decision problem. There are NP-hard problems that are not decision problems at all, which are obviously not going to be in NP no matter how easy they are to "verify."
      $endgroup$
      – Kevin
      yesterday














    11












    11








    11





    $begingroup$

    A problem $P$ is NP-complete if:




    1. $P$ is NP-hard and


    2. $P in textbfNP$.

    The authors give a proof of item number 1. Item number 2 is probably apparent (and should be clear to the paper's audience). For the proof of item number 1, you only need a (many-one) reduction from some NP-complete problem (e.g., SAT) to $P$; there is no need to construct a reduction in the opposite direction.






    share|cite|improve this answer









    $endgroup$



    A problem $P$ is NP-complete if:




    1. $P$ is NP-hard and


    2. $P in textbfNP$.

    The authors give a proof of item number 1. Item number 2 is probably apparent (and should be clear to the paper's audience). For the proof of item number 1, you only need a (many-one) reduction from some NP-complete problem (e.g., SAT) to $P$; there is no need to construct a reduction in the opposite direction.







    share|cite|improve this answer












    share|cite|improve this answer



    share|cite|improve this answer










    answered 2 days ago









    dkaeaedkaeae

    2,53211123




    2,53211123







    • 2




      $begingroup$
      In case anyone is still confused, 2 is trivial because to be in NP means that you can quickly (polynomial time) verify a solution to the problem. Here, a solution can be verified by simply performing the swaps as stated in the solution and checking that you reach the desired object.
      $endgroup$
      – Steven Lowes
      2 days ago






    • 1




      $begingroup$
      @StevenLowes The only thing you would still have to verify is that the number of swaps required is polynomial. This too is not that hard to see, as I explain in my answer.
      $endgroup$
      – Discrete lizard
      2 days ago










    • $begingroup$
      I had misread the paper and assumed it was not possible for a sequence to require more than N swaps - you're right :)
      $endgroup$
      – Steven Lowes
      2 days ago










    • $begingroup$
      @StevenLowes: Well, it had also better be (expressible as) a decision problem. There are NP-hard problems that are not decision problems at all, which are obviously not going to be in NP no matter how easy they are to "verify."
      $endgroup$
      – Kevin
      yesterday













    • 2




      $begingroup$
      In case anyone is still confused, 2 is trivial because to be in NP means that you can quickly (polynomial time) verify a solution to the problem. Here, a solution can be verified by simply performing the swaps as stated in the solution and checking that you reach the desired object.
      $endgroup$
      – Steven Lowes
      2 days ago






    • 1




      $begingroup$
      @StevenLowes The only thing you would still have to verify is that the number of swaps required is polynomial. This too is not that hard to see, as I explain in my answer.
      $endgroup$
      – Discrete lizard
      2 days ago










    • $begingroup$
      I had misread the paper and assumed it was not possible for a sequence to require more than N swaps - you're right :)
      $endgroup$
      – Steven Lowes
      2 days ago










    • $begingroup$
      @StevenLowes: Well, it had also better be (expressible as) a decision problem. There are NP-hard problems that are not decision problems at all, which are obviously not going to be in NP no matter how easy they are to "verify."
      $endgroup$
      – Kevin
      yesterday








    2




    2




    $begingroup$
    In case anyone is still confused, 2 is trivial because to be in NP means that you can quickly (polynomial time) verify a solution to the problem. Here, a solution can be verified by simply performing the swaps as stated in the solution and checking that you reach the desired object.
    $endgroup$
    – Steven Lowes
    2 days ago




    $begingroup$
    In case anyone is still confused, 2 is trivial because to be in NP means that you can quickly (polynomial time) verify a solution to the problem. Here, a solution can be verified by simply performing the swaps as stated in the solution and checking that you reach the desired object.
    $endgroup$
    – Steven Lowes
    2 days ago




    1




    1




    $begingroup$
    @StevenLowes The only thing you would still have to verify is that the number of swaps required is polynomial. This too is not that hard to see, as I explain in my answer.
    $endgroup$
    – Discrete lizard
    2 days ago




    $begingroup$
    @StevenLowes The only thing you would still have to verify is that the number of swaps required is polynomial. This too is not that hard to see, as I explain in my answer.
    $endgroup$
    – Discrete lizard
    2 days ago












    $begingroup$
    I had misread the paper and assumed it was not possible for a sequence to require more than N swaps - you're right :)
    $endgroup$
    – Steven Lowes
    2 days ago




    $begingroup$
    I had misread the paper and assumed it was not possible for a sequence to require more than N swaps - you're right :)
    $endgroup$
    – Steven Lowes
    2 days ago












    $begingroup$
    @StevenLowes: Well, it had also better be (expressible as) a decision problem. There are NP-hard problems that are not decision problems at all, which are obviously not going to be in NP no matter how easy they are to "verify."
    $endgroup$
    – Kevin
    yesterday





    $begingroup$
    @StevenLowes: Well, it had also better be (expressible as) a decision problem. There are NP-hard problems that are not decision problems at all, which are obviously not going to be in NP no matter how easy they are to "verify."
    $endgroup$
    – Kevin
    yesterday












    5












    $begingroup$

    The authors claim that it is easy to show that the problem lies in NP. To prove this claim, take a sequence of swaps that leads to a state as a witness that the state is reachable. Given such a sequence of polynomial size, we can verify in polynomial time that the state is indeed reachable by performing the swaps.



    What remains to be shown is that there is a sequence of swaps that has polynomial size. Note that since each agent has strict preferences and will only swap if it can make a trade that gives it a better object, each agent can swap at most $n$ times. As there are at most $n$ agents, each sequence of swaps has at most $n^2$ swaps.




    I think that if there were non-strict preferences, it might be possible that some items will have to move across long cycles to reach certain states, and that in particular there exist states where all sequences of swaps have exponential size. However, I cannot think of an immediate example of such a problem. At the least, it is no longer 'easy' to show the problem with non-strict preferences is in NP.






    share|cite|improve this answer











    $endgroup$

















      5












      $begingroup$

      The authors claim that it is easy to show that the problem lies in NP. To prove this claim, take a sequence of swaps that leads to a state as a witness that the state is reachable. Given such a sequence of polynomial size, we can verify in polynomial time that the state is indeed reachable by performing the swaps.



      What remains to be shown is that there is a sequence of swaps that has polynomial size. Note that since each agent has strict preferences and will only swap if it can make a trade that gives it a better object, each agent can swap at most $n$ times. As there are at most $n$ agents, each sequence of swaps has at most $n^2$ swaps.




      I think that if there were non-strict preferences, it might be possible that some items will have to move across long cycles to reach certain states, and that in particular there exist states where all sequences of swaps have exponential size. However, I cannot think of an immediate example of such a problem. At the least, it is no longer 'easy' to show the problem with non-strict preferences is in NP.






      share|cite|improve this answer











      $endgroup$















        5












        5








        5





        $begingroup$

        The authors claim that it is easy to show that the problem lies in NP. To prove this claim, take a sequence of swaps that leads to a state as a witness that the state is reachable. Given such a sequence of polynomial size, we can verify in polynomial time that the state is indeed reachable by performing the swaps.



        What remains to be shown is that there is a sequence of swaps that has polynomial size. Note that since each agent has strict preferences and will only swap if it can make a trade that gives it a better object, each agent can swap at most $n$ times. As there are at most $n$ agents, each sequence of swaps has at most $n^2$ swaps.




        I think that if there were non-strict preferences, it might be possible that some items will have to move across long cycles to reach certain states, and that in particular there exist states where all sequences of swaps have exponential size. However, I cannot think of an immediate example of such a problem. At the least, it is no longer 'easy' to show the problem with non-strict preferences is in NP.






        share|cite|improve this answer











        $endgroup$



        The authors claim that it is easy to show that the problem lies in NP. To prove this claim, take a sequence of swaps that leads to a state as a witness that the state is reachable. Given such a sequence of polynomial size, we can verify in polynomial time that the state is indeed reachable by performing the swaps.



        What remains to be shown is that there is a sequence of swaps that has polynomial size. Note that since each agent has strict preferences and will only swap if it can make a trade that gives it a better object, each agent can swap at most $n$ times. As there are at most $n$ agents, each sequence of swaps has at most $n^2$ swaps.




        I think that if there were non-strict preferences, it might be possible that some items will have to move across long cycles to reach certain states, and that in particular there exist states where all sequences of swaps have exponential size. However, I cannot think of an immediate example of such a problem. At the least, it is no longer 'easy' to show the problem with non-strict preferences is in NP.







        share|cite|improve this answer














        share|cite|improve this answer



        share|cite|improve this answer








        edited yesterday

























        answered 2 days ago









        Discrete lizardDiscrete lizard

        4,59011538




        4,59011538




















            Infinity is a new contributor. Be nice, and check out our Code of Conduct.









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