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Why isn't P and P/poly trivially the same?


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$begingroup$


The definition of P is a language that can be decided by a polynomial time algorithm. The definition of P/poly can be taken to mean a language that can be decided by a polynomial-size circuit (see http://pages.cs.wisc.edu/~jyc/02-810notes/lecture09.pdf). Now, why can't a polynomial-sized circuit be simulated in polynomial time?










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New contributor




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







$endgroup$








  • 2




    $begingroup$
    P/poly can compute undecidable languages (exercise).
    $endgroup$
    – Yuval Filmus
    10 hours ago










  • $begingroup$
    Thanks, but what is wrong with my argument - that a polynomial-size circuit can be simulated in polynomial time?
    $endgroup$
    – dcw
    10 hours ago






  • 1




    $begingroup$
    It’s wrong. The polynomial size circuits for different input lengths could be radically different, and so cannot all be described by a single Turing machine.
    $endgroup$
    – Yuval Filmus
    10 hours ago










  • $begingroup$
    Thanks, but where in the definition P does it say we're restricted to a single Turing machine? All the definitions I've seen are like in mathworld.wolfram.com/PolynomialTime.html
    $endgroup$
    – dcw
    10 hours ago








  • 1




    $begingroup$
    @dcw A language is in P if there is a Turing machine such that...
    $endgroup$
    – David Richerby
    10 hours ago
















7












$begingroup$


The definition of P is a language that can be decided by a polynomial time algorithm. The definition of P/poly can be taken to mean a language that can be decided by a polynomial-size circuit (see http://pages.cs.wisc.edu/~jyc/02-810notes/lecture09.pdf). Now, why can't a polynomial-sized circuit be simulated in polynomial time?










share|cite|improve this question







New contributor




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







$endgroup$








  • 2




    $begingroup$
    P/poly can compute undecidable languages (exercise).
    $endgroup$
    – Yuval Filmus
    10 hours ago










  • $begingroup$
    Thanks, but what is wrong with my argument - that a polynomial-size circuit can be simulated in polynomial time?
    $endgroup$
    – dcw
    10 hours ago






  • 1




    $begingroup$
    It’s wrong. The polynomial size circuits for different input lengths could be radically different, and so cannot all be described by a single Turing machine.
    $endgroup$
    – Yuval Filmus
    10 hours ago










  • $begingroup$
    Thanks, but where in the definition P does it say we're restricted to a single Turing machine? All the definitions I've seen are like in mathworld.wolfram.com/PolynomialTime.html
    $endgroup$
    – dcw
    10 hours ago








  • 1




    $begingroup$
    @dcw A language is in P if there is a Turing machine such that...
    $endgroup$
    – David Richerby
    10 hours ago














7












7








7





$begingroup$


The definition of P is a language that can be decided by a polynomial time algorithm. The definition of P/poly can be taken to mean a language that can be decided by a polynomial-size circuit (see http://pages.cs.wisc.edu/~jyc/02-810notes/lecture09.pdf). Now, why can't a polynomial-sized circuit be simulated in polynomial time?










share|cite|improve this question







New contributor




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







$endgroup$




The definition of P is a language that can be decided by a polynomial time algorithm. The definition of P/poly can be taken to mean a language that can be decided by a polynomial-size circuit (see http://pages.cs.wisc.edu/~jyc/02-810notes/lecture09.pdf). Now, why can't a polynomial-sized circuit be simulated in polynomial time?







complexity-theory time-complexity circuits






share|cite|improve this question







New contributor




dcw 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




dcw 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




share|cite|improve this question






New contributor




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









asked 10 hours ago









dcwdcw

383




383




New contributor




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





New contributor





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






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








  • 2




    $begingroup$
    P/poly can compute undecidable languages (exercise).
    $endgroup$
    – Yuval Filmus
    10 hours ago










  • $begingroup$
    Thanks, but what is wrong with my argument - that a polynomial-size circuit can be simulated in polynomial time?
    $endgroup$
    – dcw
    10 hours ago






  • 1




    $begingroup$
    It’s wrong. The polynomial size circuits for different input lengths could be radically different, and so cannot all be described by a single Turing machine.
    $endgroup$
    – Yuval Filmus
    10 hours ago










  • $begingroup$
    Thanks, but where in the definition P does it say we're restricted to a single Turing machine? All the definitions I've seen are like in mathworld.wolfram.com/PolynomialTime.html
    $endgroup$
    – dcw
    10 hours ago








  • 1




    $begingroup$
    @dcw A language is in P if there is a Turing machine such that...
    $endgroup$
    – David Richerby
    10 hours ago














  • 2




    $begingroup$
    P/poly can compute undecidable languages (exercise).
    $endgroup$
    – Yuval Filmus
    10 hours ago










  • $begingroup$
    Thanks, but what is wrong with my argument - that a polynomial-size circuit can be simulated in polynomial time?
    $endgroup$
    – dcw
    10 hours ago






  • 1




    $begingroup$
    It’s wrong. The polynomial size circuits for different input lengths could be radically different, and so cannot all be described by a single Turing machine.
    $endgroup$
    – Yuval Filmus
    10 hours ago










  • $begingroup$
    Thanks, but where in the definition P does it say we're restricted to a single Turing machine? All the definitions I've seen are like in mathworld.wolfram.com/PolynomialTime.html
    $endgroup$
    – dcw
    10 hours ago








  • 1




    $begingroup$
    @dcw A language is in P if there is a Turing machine such that...
    $endgroup$
    – David Richerby
    10 hours ago








2




2




$begingroup$
P/poly can compute undecidable languages (exercise).
$endgroup$
– Yuval Filmus
10 hours ago




$begingroup$
P/poly can compute undecidable languages (exercise).
$endgroup$
– Yuval Filmus
10 hours ago












$begingroup$
Thanks, but what is wrong with my argument - that a polynomial-size circuit can be simulated in polynomial time?
$endgroup$
– dcw
10 hours ago




$begingroup$
Thanks, but what is wrong with my argument - that a polynomial-size circuit can be simulated in polynomial time?
$endgroup$
– dcw
10 hours ago




1




1




$begingroup$
It’s wrong. The polynomial size circuits for different input lengths could be radically different, and so cannot all be described by a single Turing machine.
$endgroup$
– Yuval Filmus
10 hours ago




$begingroup$
It’s wrong. The polynomial size circuits for different input lengths could be radically different, and so cannot all be described by a single Turing machine.
$endgroup$
– Yuval Filmus
10 hours ago












$begingroup$
Thanks, but where in the definition P does it say we're restricted to a single Turing machine? All the definitions I've seen are like in mathworld.wolfram.com/PolynomialTime.html
$endgroup$
– dcw
10 hours ago






$begingroup$
Thanks, but where in the definition P does it say we're restricted to a single Turing machine? All the definitions I've seen are like in mathworld.wolfram.com/PolynomialTime.html
$endgroup$
– dcw
10 hours ago






1




1




$begingroup$
@dcw A language is in P if there is a Turing machine such that...
$endgroup$
– David Richerby
10 hours ago




$begingroup$
@dcw A language is in P if there is a Turing machine such that...
$endgroup$
– David Richerby
10 hours ago










1 Answer
1






active

oldest

votes


















9












$begingroup$

The point about circuits is that a circuit has a fixed number of inputs. This means that, to define a language, we need a family of circuits $C_0, C_1, C_2, dots$ such that the circuit $C_i$ tells you which strings of length $i$ are in the language, for each $i$. This doesn't require that there should be any relationship between the circuits $C_i$ and $C_{i+1}$: they could be completely different. In particular, for any set $Ssubseteqmathbb{N}$, you could set declare $C_i=mathrm{true}$ if $iin S$ and $C_i=mathrm{false}$ for $inotin S$. Even if $S$ is undecidable!



In contrast, a language is in $mathrm{P}$ if there is a single Turing machine that tells you whether every possible input of every possible length is in the language. Now, you can't play any funny games about inputs of different lengths.



You're correct that we can evaluate any fixed circuit in $mathrm{P}$. But that's not necessarily enough to decide a language in $mathrm{P/poly}$. To do that, we would first need to compute the length of the input, then use that to determine which circuit $C_i$ we need to evaluate, and then evaluate the circuit. As the example above shows, the "determine which circuit" part might not even be computable, let alone computable in polynomial time.






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    1 Answer
    1






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    active

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    9












    $begingroup$

    The point about circuits is that a circuit has a fixed number of inputs. This means that, to define a language, we need a family of circuits $C_0, C_1, C_2, dots$ such that the circuit $C_i$ tells you which strings of length $i$ are in the language, for each $i$. This doesn't require that there should be any relationship between the circuits $C_i$ and $C_{i+1}$: they could be completely different. In particular, for any set $Ssubseteqmathbb{N}$, you could set declare $C_i=mathrm{true}$ if $iin S$ and $C_i=mathrm{false}$ for $inotin S$. Even if $S$ is undecidable!



    In contrast, a language is in $mathrm{P}$ if there is a single Turing machine that tells you whether every possible input of every possible length is in the language. Now, you can't play any funny games about inputs of different lengths.



    You're correct that we can evaluate any fixed circuit in $mathrm{P}$. But that's not necessarily enough to decide a language in $mathrm{P/poly}$. To do that, we would first need to compute the length of the input, then use that to determine which circuit $C_i$ we need to evaluate, and then evaluate the circuit. As the example above shows, the "determine which circuit" part might not even be computable, let alone computable in polynomial time.






    share|cite|improve this answer









    $endgroup$


















      9












      $begingroup$

      The point about circuits is that a circuit has a fixed number of inputs. This means that, to define a language, we need a family of circuits $C_0, C_1, C_2, dots$ such that the circuit $C_i$ tells you which strings of length $i$ are in the language, for each $i$. This doesn't require that there should be any relationship between the circuits $C_i$ and $C_{i+1}$: they could be completely different. In particular, for any set $Ssubseteqmathbb{N}$, you could set declare $C_i=mathrm{true}$ if $iin S$ and $C_i=mathrm{false}$ for $inotin S$. Even if $S$ is undecidable!



      In contrast, a language is in $mathrm{P}$ if there is a single Turing machine that tells you whether every possible input of every possible length is in the language. Now, you can't play any funny games about inputs of different lengths.



      You're correct that we can evaluate any fixed circuit in $mathrm{P}$. But that's not necessarily enough to decide a language in $mathrm{P/poly}$. To do that, we would first need to compute the length of the input, then use that to determine which circuit $C_i$ we need to evaluate, and then evaluate the circuit. As the example above shows, the "determine which circuit" part might not even be computable, let alone computable in polynomial time.






      share|cite|improve this answer









      $endgroup$
















        9












        9








        9





        $begingroup$

        The point about circuits is that a circuit has a fixed number of inputs. This means that, to define a language, we need a family of circuits $C_0, C_1, C_2, dots$ such that the circuit $C_i$ tells you which strings of length $i$ are in the language, for each $i$. This doesn't require that there should be any relationship between the circuits $C_i$ and $C_{i+1}$: they could be completely different. In particular, for any set $Ssubseteqmathbb{N}$, you could set declare $C_i=mathrm{true}$ if $iin S$ and $C_i=mathrm{false}$ for $inotin S$. Even if $S$ is undecidable!



        In contrast, a language is in $mathrm{P}$ if there is a single Turing machine that tells you whether every possible input of every possible length is in the language. Now, you can't play any funny games about inputs of different lengths.



        You're correct that we can evaluate any fixed circuit in $mathrm{P}$. But that's not necessarily enough to decide a language in $mathrm{P/poly}$. To do that, we would first need to compute the length of the input, then use that to determine which circuit $C_i$ we need to evaluate, and then evaluate the circuit. As the example above shows, the "determine which circuit" part might not even be computable, let alone computable in polynomial time.






        share|cite|improve this answer









        $endgroup$



        The point about circuits is that a circuit has a fixed number of inputs. This means that, to define a language, we need a family of circuits $C_0, C_1, C_2, dots$ such that the circuit $C_i$ tells you which strings of length $i$ are in the language, for each $i$. This doesn't require that there should be any relationship between the circuits $C_i$ and $C_{i+1}$: they could be completely different. In particular, for any set $Ssubseteqmathbb{N}$, you could set declare $C_i=mathrm{true}$ if $iin S$ and $C_i=mathrm{false}$ for $inotin S$. Even if $S$ is undecidable!



        In contrast, a language is in $mathrm{P}$ if there is a single Turing machine that tells you whether every possible input of every possible length is in the language. Now, you can't play any funny games about inputs of different lengths.



        You're correct that we can evaluate any fixed circuit in $mathrm{P}$. But that's not necessarily enough to decide a language in $mathrm{P/poly}$. To do that, we would first need to compute the length of the input, then use that to determine which circuit $C_i$ we need to evaluate, and then evaluate the circuit. As the example above shows, the "determine which circuit" part might not even be computable, let alone computable in polynomial time.







        share|cite|improve this answer












        share|cite|improve this answer



        share|cite|improve this answer










        answered 10 hours ago









        David RicherbyDavid Richerby

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