Contradiction proof for inequality of P and NP?How can I argue that $3mathsfSATleq_p mathsfIndSet$ is polynomial in time?Problem with my proof that NP = coNP?Why does Schaefer's theorem not prove that P=NP?Logarithmic Randomness is Necessary for PCP TheoremTrouble seeing the contradiction in diagonalization proofIs it always possible to have one part of the reduction?If everyone believes P ≠ NP, why is everyone sceptical of proof attempts for P ≠ NP?Find the flaw in the P != NP proofTesting algorithm for a modified sieve of EratosthenesFinding a complexity by solving inequality

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Contradiction proof for inequality of P and NP?


How can I argue that $3mathsfSATleq_p mathsfIndSet$ is polynomial in time?Problem with my proof that NP = coNP?Why does Schaefer's theorem not prove that P=NP?Logarithmic Randomness is Necessary for PCP TheoremTrouble seeing the contradiction in diagonalization proofIs it always possible to have one part of the reduction?If everyone believes P ≠ NP, why is everyone sceptical of proof attempts for P ≠ NP?Find the flaw in the P != NP proofTesting algorithm for a modified sieve of EratosthenesFinding a complexity by solving inequality













10












$begingroup$


I'm trying to argue that N is not equal NP using hierarchy theorems. This is my argument, but when I showed it to our teacher and after deduction, he said that this is problematic where I can't find a compelling reason to accept.




We start off by assuming that $P=NP$. Then it yields that $mathitSAT in P$ which itself then follows that $mathitSAT in TIME(n^k)$. As stands, we are able to do reduce every language in $NP$ to $mathitSAT$. Therefore, $NP subseteq TIME(n^k)$. On the contrary, the time hierarchy theorem states that there should be a language $A in TIME(n^k+1)$, that's not in $TIME(n^k)$. This would lead us to conclude that $A$ is in $P$, while not in $NP$, which is a contradiction to our first assumption. So, we came to the conclusion that $P neq NP$.




Is there something wrong with my proof?










share|cite|improve this question











$endgroup$







  • 2




    $begingroup$
    Please, write something like $mathitSAT$ instead of $SAT$. As Leslie Lamport wrote in his original LaTeX book, the latter stands for S times A times T.
    $endgroup$
    – Oliphaunt
    Apr 25 at 22:31











  • $begingroup$
    Better yet, use the complexity package and simply write SAT. (I guess that's not available on this stack, though.)
    $endgroup$
    – Oliphaunt
    Apr 25 at 22:39










  • $begingroup$
    @Oliphaunt Why not suggest an edit when you can improve the post? Although I must say that here the difference (if any) is a lot more subtle than I'd expect.
    $endgroup$
    – Discrete lizard
    2 days ago







  • 1




    $begingroup$
    @Discretelizard I often do, but it was "too much work" this time (i was / am on mobile). Entering all those $ and is finicky work. I chose to educate instead. (This decision may not have been entirely rational.)
    $endgroup$
    – Oliphaunt
    2 days ago















10












$begingroup$


I'm trying to argue that N is not equal NP using hierarchy theorems. This is my argument, but when I showed it to our teacher and after deduction, he said that this is problematic where I can't find a compelling reason to accept.




We start off by assuming that $P=NP$. Then it yields that $mathitSAT in P$ which itself then follows that $mathitSAT in TIME(n^k)$. As stands, we are able to do reduce every language in $NP$ to $mathitSAT$. Therefore, $NP subseteq TIME(n^k)$. On the contrary, the time hierarchy theorem states that there should be a language $A in TIME(n^k+1)$, that's not in $TIME(n^k)$. This would lead us to conclude that $A$ is in $P$, while not in $NP$, which is a contradiction to our first assumption. So, we came to the conclusion that $P neq NP$.




Is there something wrong with my proof?










share|cite|improve this question











$endgroup$







  • 2




    $begingroup$
    Please, write something like $mathitSAT$ instead of $SAT$. As Leslie Lamport wrote in his original LaTeX book, the latter stands for S times A times T.
    $endgroup$
    – Oliphaunt
    Apr 25 at 22:31











  • $begingroup$
    Better yet, use the complexity package and simply write SAT. (I guess that's not available on this stack, though.)
    $endgroup$
    – Oliphaunt
    Apr 25 at 22:39










  • $begingroup$
    @Oliphaunt Why not suggest an edit when you can improve the post? Although I must say that here the difference (if any) is a lot more subtle than I'd expect.
    $endgroup$
    – Discrete lizard
    2 days ago







  • 1




    $begingroup$
    @Discretelizard I often do, but it was "too much work" this time (i was / am on mobile). Entering all those $ and is finicky work. I chose to educate instead. (This decision may not have been entirely rational.)
    $endgroup$
    – Oliphaunt
    2 days ago













10












10








10


3



$begingroup$


I'm trying to argue that N is not equal NP using hierarchy theorems. This is my argument, but when I showed it to our teacher and after deduction, he said that this is problematic where I can't find a compelling reason to accept.




We start off by assuming that $P=NP$. Then it yields that $mathitSAT in P$ which itself then follows that $mathitSAT in TIME(n^k)$. As stands, we are able to do reduce every language in $NP$ to $mathitSAT$. Therefore, $NP subseteq TIME(n^k)$. On the contrary, the time hierarchy theorem states that there should be a language $A in TIME(n^k+1)$, that's not in $TIME(n^k)$. This would lead us to conclude that $A$ is in $P$, while not in $NP$, which is a contradiction to our first assumption. So, we came to the conclusion that $P neq NP$.




Is there something wrong with my proof?










share|cite|improve this question











$endgroup$




I'm trying to argue that N is not equal NP using hierarchy theorems. This is my argument, but when I showed it to our teacher and after deduction, he said that this is problematic where I can't find a compelling reason to accept.




We start off by assuming that $P=NP$. Then it yields that $mathitSAT in P$ which itself then follows that $mathitSAT in TIME(n^k)$. As stands, we are able to do reduce every language in $NP$ to $mathitSAT$. Therefore, $NP subseteq TIME(n^k)$. On the contrary, the time hierarchy theorem states that there should be a language $A in TIME(n^k+1)$, that's not in $TIME(n^k)$. This would lead us to conclude that $A$ is in $P$, while not in $NP$, which is a contradiction to our first assumption. So, we came to the conclusion that $P neq NP$.




Is there something wrong with my proof?







complexity-theory time-complexity p-vs-np






share|cite|improve this question















share|cite|improve this question













share|cite|improve this question




share|cite|improve this question








edited 2 days ago









Discrete lizard

4,85311540




4,85311540










asked Apr 25 at 4:12









inverted_indexinverted_index

18816




18816







  • 2




    $begingroup$
    Please, write something like $mathitSAT$ instead of $SAT$. As Leslie Lamport wrote in his original LaTeX book, the latter stands for S times A times T.
    $endgroup$
    – Oliphaunt
    Apr 25 at 22:31











  • $begingroup$
    Better yet, use the complexity package and simply write SAT. (I guess that's not available on this stack, though.)
    $endgroup$
    – Oliphaunt
    Apr 25 at 22:39










  • $begingroup$
    @Oliphaunt Why not suggest an edit when you can improve the post? Although I must say that here the difference (if any) is a lot more subtle than I'd expect.
    $endgroup$
    – Discrete lizard
    2 days ago







  • 1




    $begingroup$
    @Discretelizard I often do, but it was "too much work" this time (i was / am on mobile). Entering all those $ and is finicky work. I chose to educate instead. (This decision may not have been entirely rational.)
    $endgroup$
    – Oliphaunt
    2 days ago












  • 2




    $begingroup$
    Please, write something like $mathitSAT$ instead of $SAT$. As Leslie Lamport wrote in his original LaTeX book, the latter stands for S times A times T.
    $endgroup$
    – Oliphaunt
    Apr 25 at 22:31











  • $begingroup$
    Better yet, use the complexity package and simply write SAT. (I guess that's not available on this stack, though.)
    $endgroup$
    – Oliphaunt
    Apr 25 at 22:39










  • $begingroup$
    @Oliphaunt Why not suggest an edit when you can improve the post? Although I must say that here the difference (if any) is a lot more subtle than I'd expect.
    $endgroup$
    – Discrete lizard
    2 days ago







  • 1




    $begingroup$
    @Discretelizard I often do, but it was "too much work" this time (i was / am on mobile). Entering all those $ and is finicky work. I chose to educate instead. (This decision may not have been entirely rational.)
    $endgroup$
    – Oliphaunt
    2 days ago







2




2




$begingroup$
Please, write something like $mathitSAT$ instead of $SAT$. As Leslie Lamport wrote in his original LaTeX book, the latter stands for S times A times T.
$endgroup$
– Oliphaunt
Apr 25 at 22:31





$begingroup$
Please, write something like $mathitSAT$ instead of $SAT$. As Leslie Lamport wrote in his original LaTeX book, the latter stands for S times A times T.
$endgroup$
– Oliphaunt
Apr 25 at 22:31













$begingroup$
Better yet, use the complexity package and simply write SAT. (I guess that's not available on this stack, though.)
$endgroup$
– Oliphaunt
Apr 25 at 22:39




$begingroup$
Better yet, use the complexity package and simply write SAT. (I guess that's not available on this stack, though.)
$endgroup$
– Oliphaunt
Apr 25 at 22:39












$begingroup$
@Oliphaunt Why not suggest an edit when you can improve the post? Although I must say that here the difference (if any) is a lot more subtle than I'd expect.
$endgroup$
– Discrete lizard
2 days ago





$begingroup$
@Oliphaunt Why not suggest an edit when you can improve the post? Although I must say that here the difference (if any) is a lot more subtle than I'd expect.
$endgroup$
– Discrete lizard
2 days ago





1




1




$begingroup$
@Discretelizard I often do, but it was "too much work" this time (i was / am on mobile). Entering all those $ and is finicky work. I chose to educate instead. (This decision may not have been entirely rational.)
$endgroup$
– Oliphaunt
2 days ago




$begingroup$
@Discretelizard I often do, but it was "too much work" this time (i was / am on mobile). Entering all those $ and is finicky work. I chose to educate instead. (This decision may not have been entirely rational.)
$endgroup$
– Oliphaunt
2 days ago










2 Answers
2






active

oldest

votes


















53












$begingroup$


Then it yields that $SAT in P$ which itself then follows that $SAT in TIME(n^k)$.




Sure.




As stands, we are able to do reduce every language in $NP$ to $SAT$. Therefore, $NP subseteq TIME(n^k)$.




No. Polynomial time reductions aren't free. We can say it takes $O(n^r(L))$ time to reduce language $L$ to $SAT$, where $r(L)$ is the exponent in the polynomial time reduction used. This is where your argument falls apart. There is no finite $k$ such that for all $L in NP$ we have $r(L) < k$. At least this does not follow from $P = NP$ and would be a much stronger statement.



And this stronger statement does indeed conflict with the time hierarchy theorem, which tells us that $P$ can not collapse into $TIME(n^k)$, let alone all of $NP$.






share|cite|improve this answer











$endgroup$








  • 5




    $begingroup$
    "Polynomial time reductions aren't free" +1 for good wording.
    $endgroup$
    – Rick Decker
    Apr 25 at 12:46






  • 1




    $begingroup$
    It's not only the time for the reduction itself. You could reduce to a make larger problem. If I can solve X in O (n^5), and I can reduce a problem in Y in O (n^6) to a O(n^3) sized instance of X, then I need O (n^15) in total.
    $endgroup$
    – gnasher729
    yesterday


















8












$begingroup$

Suppose that $mathrm3SATinmathrmNTIME[n^k]$. By the nondeterministic version of the time hierarchy theorem, for any $r$, there is a problem $X_rinmathrmNTIME[n^r]$ that is not in $mathrmNTIME[n^r-1]$. This is an unconditional result that doesn't depend on any kind of assumption such as $mathrmPneqmathrmNP$



Choose any $r>k$. Suppose we have a deterministic reduction from $X_r$ to $mathrm3SAT$ that runs in time $n^t$. It produces a $mathrm3SAT$ instance of size at most $n^t$, which can be solved in time at most $(n^t)^k=n^tk$. By our choice of $X_r$, we must have $tk>r-1$, so $t>(r+1)/k$. This function grows without bound with $r$.



This means that there is no bound on how long it can take to reduce an arbitrary $mathrmNP$ problem to $mathrm3SAT$. Even if $mathrm3SATin mathrmP$, there's still no bound on how long those reductions can take. So, in particular, even if $mathrm3SATinmathrmDTIME[n^k']$ for some $k'$, we can't conclude that $mathrmNPsubseteqmathrmDTIME[n^k']$, or even $mathrmNPsubseteqmathrmDTIME[n^k'']$ for some $k''>k'$.






share|cite|improve this answer









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    2 Answers
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    2 Answers
    2






    active

    oldest

    votes









    active

    oldest

    votes






    active

    oldest

    votes









    53












    $begingroup$


    Then it yields that $SAT in P$ which itself then follows that $SAT in TIME(n^k)$.




    Sure.




    As stands, we are able to do reduce every language in $NP$ to $SAT$. Therefore, $NP subseteq TIME(n^k)$.




    No. Polynomial time reductions aren't free. We can say it takes $O(n^r(L))$ time to reduce language $L$ to $SAT$, where $r(L)$ is the exponent in the polynomial time reduction used. This is where your argument falls apart. There is no finite $k$ such that for all $L in NP$ we have $r(L) < k$. At least this does not follow from $P = NP$ and would be a much stronger statement.



    And this stronger statement does indeed conflict with the time hierarchy theorem, which tells us that $P$ can not collapse into $TIME(n^k)$, let alone all of $NP$.






    share|cite|improve this answer











    $endgroup$








    • 5




      $begingroup$
      "Polynomial time reductions aren't free" +1 for good wording.
      $endgroup$
      – Rick Decker
      Apr 25 at 12:46






    • 1




      $begingroup$
      It's not only the time for the reduction itself. You could reduce to a make larger problem. If I can solve X in O (n^5), and I can reduce a problem in Y in O (n^6) to a O(n^3) sized instance of X, then I need O (n^15) in total.
      $endgroup$
      – gnasher729
      yesterday















    53












    $begingroup$


    Then it yields that $SAT in P$ which itself then follows that $SAT in TIME(n^k)$.




    Sure.




    As stands, we are able to do reduce every language in $NP$ to $SAT$. Therefore, $NP subseteq TIME(n^k)$.




    No. Polynomial time reductions aren't free. We can say it takes $O(n^r(L))$ time to reduce language $L$ to $SAT$, where $r(L)$ is the exponent in the polynomial time reduction used. This is where your argument falls apart. There is no finite $k$ such that for all $L in NP$ we have $r(L) < k$. At least this does not follow from $P = NP$ and would be a much stronger statement.



    And this stronger statement does indeed conflict with the time hierarchy theorem, which tells us that $P$ can not collapse into $TIME(n^k)$, let alone all of $NP$.






    share|cite|improve this answer











    $endgroup$








    • 5




      $begingroup$
      "Polynomial time reductions aren't free" +1 for good wording.
      $endgroup$
      – Rick Decker
      Apr 25 at 12:46






    • 1




      $begingroup$
      It's not only the time for the reduction itself. You could reduce to a make larger problem. If I can solve X in O (n^5), and I can reduce a problem in Y in O (n^6) to a O(n^3) sized instance of X, then I need O (n^15) in total.
      $endgroup$
      – gnasher729
      yesterday













    53












    53








    53





    $begingroup$


    Then it yields that $SAT in P$ which itself then follows that $SAT in TIME(n^k)$.




    Sure.




    As stands, we are able to do reduce every language in $NP$ to $SAT$. Therefore, $NP subseteq TIME(n^k)$.




    No. Polynomial time reductions aren't free. We can say it takes $O(n^r(L))$ time to reduce language $L$ to $SAT$, where $r(L)$ is the exponent in the polynomial time reduction used. This is where your argument falls apart. There is no finite $k$ such that for all $L in NP$ we have $r(L) < k$. At least this does not follow from $P = NP$ and would be a much stronger statement.



    And this stronger statement does indeed conflict with the time hierarchy theorem, which tells us that $P$ can not collapse into $TIME(n^k)$, let alone all of $NP$.






    share|cite|improve this answer











    $endgroup$




    Then it yields that $SAT in P$ which itself then follows that $SAT in TIME(n^k)$.




    Sure.




    As stands, we are able to do reduce every language in $NP$ to $SAT$. Therefore, $NP subseteq TIME(n^k)$.




    No. Polynomial time reductions aren't free. We can say it takes $O(n^r(L))$ time to reduce language $L$ to $SAT$, where $r(L)$ is the exponent in the polynomial time reduction used. This is where your argument falls apart. There is no finite $k$ such that for all $L in NP$ we have $r(L) < k$. At least this does not follow from $P = NP$ and would be a much stronger statement.



    And this stronger statement does indeed conflict with the time hierarchy theorem, which tells us that $P$ can not collapse into $TIME(n^k)$, let alone all of $NP$.







    share|cite|improve this answer














    share|cite|improve this answer



    share|cite|improve this answer








    edited Apr 25 at 5:49

























    answered Apr 25 at 4:38









    orlporlp

    6,53511127




    6,53511127







    • 5




      $begingroup$
      "Polynomial time reductions aren't free" +1 for good wording.
      $endgroup$
      – Rick Decker
      Apr 25 at 12:46






    • 1




      $begingroup$
      It's not only the time for the reduction itself. You could reduce to a make larger problem. If I can solve X in O (n^5), and I can reduce a problem in Y in O (n^6) to a O(n^3) sized instance of X, then I need O (n^15) in total.
      $endgroup$
      – gnasher729
      yesterday












    • 5




      $begingroup$
      "Polynomial time reductions aren't free" +1 for good wording.
      $endgroup$
      – Rick Decker
      Apr 25 at 12:46






    • 1




      $begingroup$
      It's not only the time for the reduction itself. You could reduce to a make larger problem. If I can solve X in O (n^5), and I can reduce a problem in Y in O (n^6) to a O(n^3) sized instance of X, then I need O (n^15) in total.
      $endgroup$
      – gnasher729
      yesterday







    5




    5




    $begingroup$
    "Polynomial time reductions aren't free" +1 for good wording.
    $endgroup$
    – Rick Decker
    Apr 25 at 12:46




    $begingroup$
    "Polynomial time reductions aren't free" +1 for good wording.
    $endgroup$
    – Rick Decker
    Apr 25 at 12:46




    1




    1




    $begingroup$
    It's not only the time for the reduction itself. You could reduce to a make larger problem. If I can solve X in O (n^5), and I can reduce a problem in Y in O (n^6) to a O(n^3) sized instance of X, then I need O (n^15) in total.
    $endgroup$
    – gnasher729
    yesterday




    $begingroup$
    It's not only the time for the reduction itself. You could reduce to a make larger problem. If I can solve X in O (n^5), and I can reduce a problem in Y in O (n^6) to a O(n^3) sized instance of X, then I need O (n^15) in total.
    $endgroup$
    – gnasher729
    yesterday











    8












    $begingroup$

    Suppose that $mathrm3SATinmathrmNTIME[n^k]$. By the nondeterministic version of the time hierarchy theorem, for any $r$, there is a problem $X_rinmathrmNTIME[n^r]$ that is not in $mathrmNTIME[n^r-1]$. This is an unconditional result that doesn't depend on any kind of assumption such as $mathrmPneqmathrmNP$



    Choose any $r>k$. Suppose we have a deterministic reduction from $X_r$ to $mathrm3SAT$ that runs in time $n^t$. It produces a $mathrm3SAT$ instance of size at most $n^t$, which can be solved in time at most $(n^t)^k=n^tk$. By our choice of $X_r$, we must have $tk>r-1$, so $t>(r+1)/k$. This function grows without bound with $r$.



    This means that there is no bound on how long it can take to reduce an arbitrary $mathrmNP$ problem to $mathrm3SAT$. Even if $mathrm3SATin mathrmP$, there's still no bound on how long those reductions can take. So, in particular, even if $mathrm3SATinmathrmDTIME[n^k']$ for some $k'$, we can't conclude that $mathrmNPsubseteqmathrmDTIME[n^k']$, or even $mathrmNPsubseteqmathrmDTIME[n^k'']$ for some $k''>k'$.






    share|cite|improve this answer









    $endgroup$

















      8












      $begingroup$

      Suppose that $mathrm3SATinmathrmNTIME[n^k]$. By the nondeterministic version of the time hierarchy theorem, for any $r$, there is a problem $X_rinmathrmNTIME[n^r]$ that is not in $mathrmNTIME[n^r-1]$. This is an unconditional result that doesn't depend on any kind of assumption such as $mathrmPneqmathrmNP$



      Choose any $r>k$. Suppose we have a deterministic reduction from $X_r$ to $mathrm3SAT$ that runs in time $n^t$. It produces a $mathrm3SAT$ instance of size at most $n^t$, which can be solved in time at most $(n^t)^k=n^tk$. By our choice of $X_r$, we must have $tk>r-1$, so $t>(r+1)/k$. This function grows without bound with $r$.



      This means that there is no bound on how long it can take to reduce an arbitrary $mathrmNP$ problem to $mathrm3SAT$. Even if $mathrm3SATin mathrmP$, there's still no bound on how long those reductions can take. So, in particular, even if $mathrm3SATinmathrmDTIME[n^k']$ for some $k'$, we can't conclude that $mathrmNPsubseteqmathrmDTIME[n^k']$, or even $mathrmNPsubseteqmathrmDTIME[n^k'']$ for some $k''>k'$.






      share|cite|improve this answer









      $endgroup$















        8












        8








        8





        $begingroup$

        Suppose that $mathrm3SATinmathrmNTIME[n^k]$. By the nondeterministic version of the time hierarchy theorem, for any $r$, there is a problem $X_rinmathrmNTIME[n^r]$ that is not in $mathrmNTIME[n^r-1]$. This is an unconditional result that doesn't depend on any kind of assumption such as $mathrmPneqmathrmNP$



        Choose any $r>k$. Suppose we have a deterministic reduction from $X_r$ to $mathrm3SAT$ that runs in time $n^t$. It produces a $mathrm3SAT$ instance of size at most $n^t$, which can be solved in time at most $(n^t)^k=n^tk$. By our choice of $X_r$, we must have $tk>r-1$, so $t>(r+1)/k$. This function grows without bound with $r$.



        This means that there is no bound on how long it can take to reduce an arbitrary $mathrmNP$ problem to $mathrm3SAT$. Even if $mathrm3SATin mathrmP$, there's still no bound on how long those reductions can take. So, in particular, even if $mathrm3SATinmathrmDTIME[n^k']$ for some $k'$, we can't conclude that $mathrmNPsubseteqmathrmDTIME[n^k']$, or even $mathrmNPsubseteqmathrmDTIME[n^k'']$ for some $k''>k'$.






        share|cite|improve this answer









        $endgroup$



        Suppose that $mathrm3SATinmathrmNTIME[n^k]$. By the nondeterministic version of the time hierarchy theorem, for any $r$, there is a problem $X_rinmathrmNTIME[n^r]$ that is not in $mathrmNTIME[n^r-1]$. This is an unconditional result that doesn't depend on any kind of assumption such as $mathrmPneqmathrmNP$



        Choose any $r>k$. Suppose we have a deterministic reduction from $X_r$ to $mathrm3SAT$ that runs in time $n^t$. It produces a $mathrm3SAT$ instance of size at most $n^t$, which can be solved in time at most $(n^t)^k=n^tk$. By our choice of $X_r$, we must have $tk>r-1$, so $t>(r+1)/k$. This function grows without bound with $r$.



        This means that there is no bound on how long it can take to reduce an arbitrary $mathrmNP$ problem to $mathrm3SAT$. Even if $mathrm3SATin mathrmP$, there's still no bound on how long those reductions can take. So, in particular, even if $mathrm3SATinmathrmDTIME[n^k']$ for some $k'$, we can't conclude that $mathrmNPsubseteqmathrmDTIME[n^k']$, or even $mathrmNPsubseteqmathrmDTIME[n^k'']$ for some $k''>k'$.







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        answered Apr 25 at 14:58









        David RicherbyDavid Richerby

        71k16109199




        71k16109199



























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