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
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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
$begingroup$
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?
complexity-theory time-complexity circuits
$endgroup$
|
show 1 more comment
$begingroup$
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?
complexity-theory time-complexity circuits
$endgroup$
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
|
show 1 more comment
$begingroup$
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?
complexity-theory time-complexity circuits
$endgroup$
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
complexity-theory time-complexity circuits
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
|
show 1 more comment
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
|
show 1 more comment
1 Answer
1
active
oldest
votes
$begingroup$
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.
$endgroup$
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
add a comment |
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$begingroup$
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.
$endgroup$
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
add a comment |
$begingroup$
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.
$endgroup$
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
add a comment |
$begingroup$
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.
$endgroup$
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.
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
add a comment |
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
add a comment |
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$begingroup$
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