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



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?Why does a polynomial-time language have a polynomial-sized circuit?Relation between logspace-uniform circuits and P-uniform circuitsPolynomial Identity Testing Evaluating a polynomial on a circuitHow to read $NC^1subset L subset NL subset SAC^1$, $SAC^1=LOGCFL/poly$, and similar statements?Difference between $mathsfSIZE(n^k)$ vs $mathsfP/poly$ and $mathsfSIZE(n)$ vs linear size circuit?*non-uniform* $ACC^0$ and above classesGiven snapshot and boolean circuit how to compute coNP formula?Boolean circuit with two inputs and advice input is hard-wired$Lin NC^1$ iff there exists a sequence of poly sized formulas that decides $L$Complexity class without fixed-poly size circuit










9












$begingroup$


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









$endgroup$







  • 4




    $begingroup$
    P/poly can compute undecidable languages (exercise).
    $endgroup$
    – Yuval Filmus
    Mar 8 at 20:26










  • $begingroup$
    Thanks, but what is wrong with my argument - that a polynomial-size circuit can be simulated in polynomial time?
    $endgroup$
    – dcw
    Mar 8 at 20:29






  • 3




    $begingroup$
    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
    Mar 8 at 20:30










  • $begingroup$
    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
    Mar 8 at 20:38







  • 3




    $begingroup$
    @dcw A language is in P if there is a Turing machine such that...
    $endgroup$
    – David Richerby
    Mar 8 at 20:53















9












$begingroup$


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









$endgroup$







  • 4




    $begingroup$
    P/poly can compute undecidable languages (exercise).
    $endgroup$
    – Yuval Filmus
    Mar 8 at 20:26










  • $begingroup$
    Thanks, but what is wrong with my argument - that a polynomial-size circuit can be simulated in polynomial time?
    $endgroup$
    – dcw
    Mar 8 at 20:29






  • 3




    $begingroup$
    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
    Mar 8 at 20:30










  • $begingroup$
    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
    Mar 8 at 20:38







  • 3




    $begingroup$
    @dcw A language is in P if there is a Turing machine such that...
    $endgroup$
    – David Richerby
    Mar 8 at 20:53













9












9








9





$begingroup$


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









$endgroup$




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













share|cite|improve this question











share|cite|improve this question




share|cite|improve this question










asked Mar 8 at 20:07









dcwdcw

513




513







  • 4




    $begingroup$
    P/poly can compute undecidable languages (exercise).
    $endgroup$
    – Yuval Filmus
    Mar 8 at 20:26










  • $begingroup$
    Thanks, but what is wrong with my argument - that a polynomial-size circuit can be simulated in polynomial time?
    $endgroup$
    – dcw
    Mar 8 at 20:29






  • 3




    $begingroup$
    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
    Mar 8 at 20:30










  • $begingroup$
    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
    Mar 8 at 20:38







  • 3




    $begingroup$
    @dcw A language is in P if there is a Turing machine such that...
    $endgroup$
    – David Richerby
    Mar 8 at 20:53












  • 4




    $begingroup$
    P/poly can compute undecidable languages (exercise).
    $endgroup$
    – Yuval Filmus
    Mar 8 at 20:26










  • $begingroup$
    Thanks, but what is wrong with my argument - that a polynomial-size circuit can be simulated in polynomial time?
    $endgroup$
    – dcw
    Mar 8 at 20:29






  • 3




    $begingroup$
    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
    Mar 8 at 20:30










  • $begingroup$
    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
    Mar 8 at 20:38







  • 3




    $begingroup$
    @dcw A language is in P if there is a Turing machine such that...
    $endgroup$
    – David Richerby
    Mar 8 at 20:53







4




4




$begingroup$
P/poly can compute undecidable languages (exercise).
$endgroup$
– Yuval Filmus
Mar 8 at 20:26




$begingroup$
P/poly can compute undecidable languages (exercise).
$endgroup$
– Yuval Filmus
Mar 8 at 20:26












$begingroup$
Thanks, but what is wrong with my argument - that a polynomial-size circuit can be simulated in polynomial time?
$endgroup$
– dcw
Mar 8 at 20:29




$begingroup$
Thanks, but what is wrong with my argument - that a polynomial-size circuit can be simulated in polynomial time?
$endgroup$
– dcw
Mar 8 at 20:29




3




3




$begingroup$
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
Mar 8 at 20:30




$begingroup$
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
Mar 8 at 20:30












$begingroup$
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
Mar 8 at 20:38





$begingroup$
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
Mar 8 at 20:38





3




3




$begingroup$
@dcw A language is in P if there is a Turing machine such that...
$endgroup$
– David Richerby
Mar 8 at 20:53




$begingroup$
@dcw A language is in P if there is a Turing machine such that...
$endgroup$
– David Richerby
Mar 8 at 20:53










1 Answer
1






active

oldest

votes


















17












$begingroup$

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 $SsubseteqmathbbN$, you could set declare $C_i=mathrmtrue$ if $iin S$ and $C_i=mathrmfalse$ for $inotin S$. Even if $S$ is undecidable!



In contrast, a language is in $mathrmP$ 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 $mathrmP$. But that's not necessarily enough to decide a language in $mathrmP/poly$. 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









$endgroup$








  • 1




    $begingroup$
    It's been years since I studied all this and I had (almost) forgotten the definition of $mathrmP/poly$, but reading this answer brought it all back: I remember having the same confusion when I first encountered the definition and arriving at the same resolution/understanding. :-)
    $endgroup$
    – ShreevatsaR
    Mar 9 at 19:59











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1 Answer
1






active

oldest

votes








1 Answer
1






active

oldest

votes









active

oldest

votes






active

oldest

votes









17












$begingroup$

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 $SsubseteqmathbbN$, you could set declare $C_i=mathrmtrue$ if $iin S$ and $C_i=mathrmfalse$ for $inotin S$. Even if $S$ is undecidable!



In contrast, a language is in $mathrmP$ 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 $mathrmP$. But that's not necessarily enough to decide a language in $mathrmP/poly$. 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









$endgroup$








  • 1




    $begingroup$
    It's been years since I studied all this and I had (almost) forgotten the definition of $mathrmP/poly$, but reading this answer brought it all back: I remember having the same confusion when I first encountered the definition and arriving at the same resolution/understanding. :-)
    $endgroup$
    – ShreevatsaR
    Mar 9 at 19:59















17












$begingroup$

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 $SsubseteqmathbbN$, you could set declare $C_i=mathrmtrue$ if $iin S$ and $C_i=mathrmfalse$ for $inotin S$. Even if $S$ is undecidable!



In contrast, a language is in $mathrmP$ 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 $mathrmP$. But that's not necessarily enough to decide a language in $mathrmP/poly$. 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









$endgroup$








  • 1




    $begingroup$
    It's been years since I studied all this and I had (almost) forgotten the definition of $mathrmP/poly$, but reading this answer brought it all back: I remember having the same confusion when I first encountered the definition and arriving at the same resolution/understanding. :-)
    $endgroup$
    – ShreevatsaR
    Mar 9 at 19:59













17












17








17





$begingroup$

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 $SsubseteqmathbbN$, you could set declare $C_i=mathrmtrue$ if $iin S$ and $C_i=mathrmfalse$ for $inotin S$. Even if $S$ is undecidable!



In contrast, a language is in $mathrmP$ 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 $mathrmP$. But that's not necessarily enough to decide a language in $mathrmP/poly$. 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 $SsubseteqmathbbN$, you could set declare $C_i=mathrmtrue$ if $iin S$ and $C_i=mathrmfalse$ for $inotin S$. Even if $S$ is undecidable!



In contrast, a language is in $mathrmP$ 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 $mathrmP$. But that's not necessarily enough to decide a language in $mathrmP/poly$. 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 Mar 8 at 21:01









David RicherbyDavid Richerby

70.6k16107198




70.6k16107198







  • 1




    $begingroup$
    It's been years since I studied all this and I had (almost) forgotten the definition of $mathrmP/poly$, but reading this answer brought it all back: I remember having the same confusion when I first encountered the definition and arriving at the same resolution/understanding. :-)
    $endgroup$
    – ShreevatsaR
    Mar 9 at 19:59












  • 1




    $begingroup$
    It's been years since I studied all this and I had (almost) forgotten the definition of $mathrmP/poly$, but reading this answer brought it all back: I remember having the same confusion when I first encountered the definition and arriving at the same resolution/understanding. :-)
    $endgroup$
    – ShreevatsaR
    Mar 9 at 19:59







1




1




$begingroup$
It's been years since I studied all this and I had (almost) forgotten the definition of $mathrmP/poly$, but reading this answer brought it all back: I remember having the same confusion when I first encountered the definition and arriving at the same resolution/understanding. :-)
$endgroup$
– ShreevatsaR
Mar 9 at 19:59




$begingroup$
It's been years since I studied all this and I had (almost) forgotten the definition of $mathrmP/poly$, but reading this answer brought it all back: I remember having the same confusion when I first encountered the definition and arriving at the same resolution/understanding. :-)
$endgroup$
– ShreevatsaR
Mar 9 at 19:59

















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