ECCC-Report TR17-149https://eccc.weizmann.ac.il/report/2017/149Comments and Revisions published for TR17-149en-usTue, 25 Dec 2018 14:11:57 +0200
Revision 5
| Prediction from Partial Information and Hindsight, with Application to Circuit Lower Bounds |
Or Meir,
Avi Wigderson
https://eccc.weizmann.ac.il/report/2017/149#revision5Consider a random sequence of $n$ bits that has entropy at least $n-k$, where $k\ll n$. A commonly used observation is that an average coordinate of this random sequence is close to being uniformly distributed, that is, the coordinate “looks random”. In this work, we prove a stronger result that says, roughly, that the average coordinate looks random to an adversary that is allowed to query $\approx\frac{n}{k}$ other coordinates of the sequence, even if the adversary is non-deterministic. This setting generalizes decision trees and certificates for Boolean functions.
As an application of this result, we prove a new result on depth-$3$ circuits, which recovers as a direct corollary the known lower bounds for the parity and majority functions, as well as a lower bound on sensitive functions due to Boppana (IPL 63(5), 1997). An interesting feature of this proof is that it works in the framework of Karchmer and Wigderson (SIDMA 3(2), 1990), and in particular it is a “top-down” proof (Hastad, Jukna and Pudlak, Computational Complexity 5(2), 1995). Finally, it yields a new kind of a random restriction lemma for non-product distributions, which may be of independent interest. Tue, 25 Dec 2018 14:11:57 +0200https://eccc.weizmann.ac.il/report/2017/149#revision5
Revision 4
| Prediction from Partial Information and Hindsight, with Application to Circuit Lower Bounds |
Or Meir,
Avi Wigderson
https://eccc.weizmann.ac.il/report/2017/149#revision4Consider a random sequence of $n$ bits that has entropy at least $n-k$, where $k\ll n$. A commonly used observation is that an average coordinate of this random sequence is close to being uniformly distributed, that is, the coordinate “looks random”. In this work, we prove a stronger result that says, roughly, that the average coordinate looks random to an adversary that is allowed to query $\approx\frac{n}{k}$ other coordinates of the sequence, even if the adversary is non-deterministic. This setting generalizes decision trees and certificates for Boolean functions.
As an application of this result, we prove a new result on depth-$3$ circuits, which recovers as a direct corollary the known lower bounds for the parity and majority functions, as well as a lower bound on sensitive functions due to Boppana (IPL 63(5), 1997). An interesting feature of this proof is that it works in the framework of Karchmer and Wigderson (SIDMA 3(2), 1990), and in particular it is a “top-down” proof (Hastad, Jukna and Pudlak, Computational Complexity 5(2), 1995). Finally, it yields a new kind of a random restriction lemma for non-product distributions, which may be of independent interest. Thu, 28 Jun 2018 11:40:37 +0300https://eccc.weizmann.ac.il/report/2017/149#revision4
Revision 3
| Prediction from Partial Information and Hindsight, with Application to Circuit Lower Bounds |
Or Meir,
Avi Wigderson
https://eccc.weizmann.ac.il/report/2017/149#revision3Consider a random sequence of $n$ bits that has entropy at least $n-k$, where $k\ll n$. A commonly used observation is that an average coordinate of this random sequence is close to being uniformly distributed, that is, the coordinate “looks random”. In this work, we prove a stronger result that says, roughly, that the average coordinate looks random to an adversary that is allowed to query $\approx\frac{n}{k}$ other coordinates of the sequence, even if the adversary is non-deterministic. This setting generalizes decision trees and certificates for Boolean functions.
As an application of this result, we prove a new result on depth-$3$ circuits, which recovers as a direct corollary the known lower bounds for the parity and majority functions, as well as a lower bound on sensitive functions due to Boppana (IPL 63(5), 1997). An interesting feature of this proof is that it works in the framework of Karchmer and Wigderson (SIDMA 3(2), 1990), and in particular it is a “top-down” proof (Hastad, Jukna and Pudlak, Computational Complexity 5(2), 1995). Finally, it yields a new kind of a random restriction lemma for non-product distributions, which may be of independent interest. Wed, 17 Jan 2018 14:50:00 +0200https://eccc.weizmann.ac.il/report/2017/149#revision3
Revision 2
| Prediction from Partial Information and Hindsight, with Application to Circuit Lower Bounds |
Or Meir,
Avi Wigderson
https://eccc.weizmann.ac.il/report/2017/149#revision2Consider a random sequence of $n$ bits that has entropy at least $n-k$, where $k\ll n$. A commonly used observation is that an average coordinate of this random sequence is close to being uniformly distributed, that is, the coordinate “looks random”. In this work, we prove a stronger result that says, roughly, that the average coordinate looks random to an adversary that is allowed to query $\approx\frac{n}{k}$ other coordinates of the sequence, even if the adversary is non-deterministic. This setting generalizes decision trees and certificates for Boolean functions.
As an application of this result, we prove a new result on depth-$3$ circuits, which recovers as a direct corollary the known lower bounds for the parity and majority functions, as well as a lower bound on sensitive functions due to Boppana (IPL 63(5), 1997). An interesting feature of this proof is that it works in the framework of Karchmer and Wigderson (SIDMA 3(2), 1990), and in particular it is a “top-down” proof (Hastad, Jukna and Pudlak, Computational Complexity 5(2), 1995). Finally, it yields a new kind of a random restriction lemma for non-product distributions, which may be of independent interest. Mon, 15 Jan 2018 17:09:33 +0200https://eccc.weizmann.ac.il/report/2017/149#revision2
Revision 1
| Prediction from Partial Information and Hindsight, with Application to Circuit Lower Bounds |
Or Meir,
Avi Wigderson
https://eccc.weizmann.ac.il/report/2017/149#revision1Consider a random sequence of $n$ bits that has entropy at least $n-k$, where $k\ll n$. A commonly used observation is that an average coordinate of this random sequence is close to being uniformly distributed, that is, the coordinate “looks random”. In this work, we prove a stronger result that says, roughly, that the average coordinate looks random to an adversary that is allowed to query $\approx\frac{n}{k}$ other coordinates of the sequence, even if the adversary is non-deterministic. This setting generalizes decision trees and certificates for Boolean functions.
As an application of this result, we prove a new result on depth-$3$ circuits, which recovers as a direct corollary the known lower bounds for the parity and majority functions, as well as a lower bound on sensitive functions due to Boppana (IPL 63(5), 1997). An interesting feature of this proof is that it works in the framework of Karchmer and Wigderson (SIDMA 3(2), 1990), and in particular it is a “top-down” proof (Hastad, Jukna and Pudlak, Computational Complexity 5(2), 1995). Finally, it yields a new kind of a random restriction lemma for non-product distributions, which may be of independent interest. Mon, 13 Nov 2017 18:49:14 +0200https://eccc.weizmann.ac.il/report/2017/149#revision1
Paper TR17-149
| Prediction from Partial Information and Hindsight, with Application to Circuit Lower Bounds |
Or Meir,
Avi Wigderson
https://eccc.weizmann.ac.il/report/2017/149Consider a random sequence of $n$ bits that has entropy at least $n-k$, where $k\ll n$. A commonly used observation is that an average coordinate of this random sequence is close to being uniformly distributed, that is, the coordinate “looks random”. In this work, we prove a stronger result that says, roughly, that the average coordinate looks random to an adversary that is allowed to query $\approx\frac{n}{k}$ other coordinates of the sequence, even if the adversary is non-deterministic. This setting generalizes decision trees and certificates for Boolean functions.
As an application of this result, we prove a new result on depth-$3$ circuits, which recovers as a direct corollary the known lower bounds for the parity and majority functions, as well as a lower bound on sensitive functions due to Boppana (IPL 63(5), 1997). An interesting feature of this proof is that it works in the framework of Karchmer and Wigderson (SIDMA 3(2), 1990), and in particular it is a “top-down” proof (Hastad, Jukna and Pudlak, Computational Complexity 5(2), 1995). Finally, it yields a new kind of a random restriction lemma for non-product distributions, which may be of independent interest. Sun, 08 Oct 2017 07:51:58 +0300https://eccc.weizmann.ac.il/report/2017/149