Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
184 tokens/sec
GPT-4o
7 tokens/sec
Gemini 2.5 Pro Pro
45 tokens/sec
o3 Pro
4 tokens/sec
GPT-4.1 Pro
38 tokens/sec
DeepSeek R1 via Azure Pro
28 tokens/sec
2000 character limit reached

Matching-Vector Families and LDCs Over Large Modulo (1304.4819v2)

Published 17 Apr 2013 in math.CO, cs.CC, and cs.DM

Abstract: We prove new upper bounds on the size of families of vectors in $\Z_mn$ with restricted modular inner products, when $m$ is a large integer. More formally, if $\vec{u}_1,\ldots,\vec{u}_t \in \Z_mn$ and $\vec{v}_1,\ldots,\vec{v}_t \in \Z_mn$ satisfy $\langle\vec{u}_i,\vec{v}_i\rangle\equiv0\pmod m$ and $\langle\vec{u}_i,\vec{v}_j\rangle\not\equiv0\pmod m$ for all $i\neq j\in[t]$, we prove that $t \leq O(m{n/2+8.47})$. This improves a recent bound of $t \leq m{n/2 + O(\log(m))}$ by \cite{BDL13} and is the best possible up to the constant 8.47 when $m$ is sufficiently larger than $n$. The maximal size of such families, called `Matching-Vector families', shows up in recent constructions of locally decodable error correcting codes (LDCs) and determines the rate of the code. Using our result we are able to show that these codes, called Matching-Vector codes, must have encoding length at least $K{19/18}$ for $K$-bit messages, regardless of their query complexity. This improves a known super linear bound of $ K2{\Omega({\sqrt{\log K}})}$ proved in \cite{DGY11}.

Citations (8)

Summary

We haven't generated a summary for this paper yet.