Revision #1 Authors: Boaz Barak, Parikshit Gopalan, Johan Håstad, Raghu Meka, Prasad Raghavendra, David Steurer

Accepted on: 3rd August 2015 18:00

Downloads: 741

Keywords:

The long code is a central tool in hardness of approximation, especially in

questions related to the unique games conjecture. We construct a new code that

is exponentially more ecient, but can still be used in many of these applications.

Using the new code we obtain exponential improvements over several known results,

including the following:

1. For any $\epsilon > 0$, we show the existence of an $n$ vertex graph G where every

set of $o(n)$ vertices has expansion $1 - \epsilon$, but G’s adjacency matrix has more

than $exp(log^{\delta} n)$ eigenvalues larger than $1 - \epsilon$, where $\delta$ depends only on $\epsilon$. This answers an open question of Arora, Barak and Steurer (FOCS 2010) who asked whether one can improve over the noise graph on the Boolean hypercube that has poly(log n) such eigenvalues.

2. A gadget that reduces unique games instances with linear constraints modulo

K into instances with alphabet k with a blowup of $K^{polylog(K)}$, improving over

the previously known gadget with blowup of $2^K$.

3. An n variable integrality gap for Unique Games that that survives $exp(poly(log log n))$ rounds of the SDP + Sherali Adams hierarchy, improving on the previously known bound of $poly(log log n)$.

We show a connection between the local testability of linear codes and small set

expansion in certain related Cayley graphs, and use this connection to derandomize

the noise graph on the Boolean hypercube.

Final journal version.

TR11-142 Authors: Boaz Barak, Parikshit Gopalan, Johan Håstad, Raghu Meka, Prasad Raghavendra, David Steurer

Publication: 2nd November 2011 07:36

Downloads: 2876

Keywords:

The long code is a central tool in hardness of approximation, especially in

questions related to the unique games conjecture. We construct a new code that

is exponentially more ecient, but can still be used in many of these applications.

Using the new code we obtain exponential improvements over several known results,

including the following:

1. For any $\epsilon > 0$, we show the existence of an $n$ vertex graph G where every

set of $o(n)$ vertices has expansion $1 - \epsilon$, but G’s adjacency matrix has more

than $exp(log^{\delta} n)$ eigenvalues larger than $1 - \epsilon$, where $\delta$ depends only on $\epsilon$. This answers an open question of Arora, Barak and Steurer (FOCS 2010) who asked whether one can improve over the noise graph on the Boolean hypercube that has poly(log n) such eigenvalues.

2. A gadget that reduces unique games instances with linear constraints modulo

K into instances with alphabet k with a blowup of $K^{polylog(K)}$, improving over

the previously known gadget with blowup of $2^K$.

3. An n variable integrality gap for Unique Games that that survives $exp(poly(log log n))$ rounds of the SDP + Sherali Adams hierarchy, improving on the previously known bound of $poly(log log n)$.

We show a connection between the local testability of linear codes and small set

expansion in certain related Cayley graphs, and use this connection to derandomize

the noise graph on the Boolean hypercube.