Revision #1 Authors: Mitali Bafna, Srikanth Srinivasan, Madhu Sudan

Accepted on: 14th December 2018 16:27

Downloads: 276

Keywords:

The well-known DeMillo-Lipton-Schwartz-Zippel lemma says that $n$-variate

polynomials of total degree at most $d$ over

grids, i.e. sets of the form $A_1 \times A_2 \times \cdots \times A_n$, form

error-correcting codes (of distance at least $2^{-d}$ provided $\min_i\{|A_i|\}\geq 2$).

In this work we explore their local

decodability and (tolerant) local testability. While these aspects have been studied

extensively when $A_1 = \cdots = A_n = \F_q$ are the same finite field, the

setting when $A_i$'s are not the full field does not seem to have been explored before.

In this work we focus on the case $A_i = \{0,1\}$ for every $i$. We show that for every field

(finite or otherwise) there is a test whose query complexity depends only on the

degree (and not on the number of variables). In contrast we show that

decodability is possible over fields of positive characteristic (with query complexity growing with

the degree of the polynomial and the characteristic), but not over the reals, where the query complexity must grow with $n$. As a

consequence we get a natural example of a code (one with a transitive group of symmetries) that is locally testable

but not locally decodable.

Classical results on local decoding and testing of polynomials have relied on the

2-transitive symmetries of the space of low-degree polynomials (under affine

transformations). Grids do not possess this symmetry: So we introduce some new

techniques to overcome this handicap and in particular use the hypercontractivity of

the (constant weight) noise operator on the Hamming cube.

Changed author list. Added new results on tolerant testing (Section 7).

TR17-138 Authors: Srikanth Srinivasan, Madhu Sudan

Publication: 17th September 2017 20:27

Downloads: 706

Keywords:

The well-known DeMillo-Lipton-Schwartz-Zippel lemma says that $n$-variate

polynomials of total degree at most $d$ over

grids, i.e. sets of the form $A_1 \times A_2 \times \cdots \times A_n$, form

error-correcting codes (of distance at least $2^{-d}$ provided $\min_i\{|A_i|\}\geq 2$).

In this work we explore their local

decodability and local testability. While these aspects have been studied

extensively when $A_1 = \cdots = A_n = \F_q$ are the same finite field, the

setting when $A_i$'s are not the full field does not seem to have been explored before.

In this work we focus on the case $A_i = \{0,1\}$ for every $i$. We show that for every field

(finite or otherwise) there is a test whose query complexity depends only on the

degree (and not on the number of variables). In contrast we show that

decodability is possible over fields of positive characteristic (with query complexity growing with

the degree of the polynomial and the characteristic), but not over the reals, where the query complexity must grow with $n$. As a

consequence we get a natural example of a code (one with a transitive group of symmetries) that is locally testable

but not locally decodable.

Classical results on local decoding and testing of polynomials have relied on the

2-transitive symmetries of the space of low-degree polynomials (under affine

transformations). Grids do not possess this symmetry: So we introduce some new

techniques to overcome this handicap and in particular use the hypercontractivity of

the (constant weight) noise operator on the Hamming cube.