TY - GEN
T1 - Improved Lower Bounds for all Odd-Query Locally Decodable Codes
AU - Basu, Arpon
AU - Hsieh, Jun Ting
AU - Kothari, Pravesh K.
AU - Lin, Andrew D.
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - We prove that for every odd q ≥ 3, any q-query binary, possibly non-linear locally decodable code (q-LDC) E : ±1k → ±1n must satisfy k ≤ Õ(n1-2/q). For even q, this bound was established in a sequence of works [KT00], [GKST06], [KW04]. For q = 3, the above bound was achieved in a recent work [AGKM23] using an argument that crucially exploits known exponential lower bounds for 2-LDCs. Their strategy hits an inherent bottleneck for q ≥ 5.Our key insight is identifying a general sufficient condition on the hypergraph of local decoding sets called t-approximate strong regularity. This condition demands that 1) the number of hyperedges containing any given subset of vertices of size t (i.e., its co-degree) be equal to the same but arbitrary value dt up to a multiplicative constant slack, and 2) all other co-degrees be upper-bounded relative to dt. This condition significantly generalizes related proposals in prior works [GKM22], [HKM23], [AGKM23], [HKM+24] that demand absolute upper bounds on all co-degrees.We give an argument based on spectral bounds on Kikuchi Matrices that lower bounds the blocklength of any LDC whose local decoding sets satisfy t-approximate strong regularity for any t ≤ q. Crucially, unlike prior works, our argument works despite having no non-trivial absolute upper bound on the co-degrees of any set of vertices. To apply our argument to arbitrary q-LDCs, we give a new, greedy, approximate strong regularity decomposition that shows that arbitrary, dense enough hypergraphs can be partitioned (up to a small error) into approximately strongly regular pieces satisfying the required relative bounds on the co-degrees.
AB - We prove that for every odd q ≥ 3, any q-query binary, possibly non-linear locally decodable code (q-LDC) E : ±1k → ±1n must satisfy k ≤ Õ(n1-2/q). For even q, this bound was established in a sequence of works [KT00], [GKST06], [KW04]. For q = 3, the above bound was achieved in a recent work [AGKM23] using an argument that crucially exploits known exponential lower bounds for 2-LDCs. Their strategy hits an inherent bottleneck for q ≥ 5.Our key insight is identifying a general sufficient condition on the hypergraph of local decoding sets called t-approximate strong regularity. This condition demands that 1) the number of hyperedges containing any given subset of vertices of size t (i.e., its co-degree) be equal to the same but arbitrary value dt up to a multiplicative constant slack, and 2) all other co-degrees be upper-bounded relative to dt. This condition significantly generalizes related proposals in prior works [GKM22], [HKM23], [AGKM23], [HKM+24] that demand absolute upper bounds on all co-degrees.We give an argument based on spectral bounds on Kikuchi Matrices that lower bounds the blocklength of any LDC whose local decoding sets satisfy t-approximate strong regularity for any t ≤ q. Crucially, unlike prior works, our argument works despite having no non-trivial absolute upper bound on the co-degrees of any set of vertices. To apply our argument to arbitrary q-LDCs, we give a new, greedy, approximate strong regularity decomposition that shows that arbitrary, dense enough hypergraphs can be partitioned (up to a small error) into approximately strongly regular pieces satisfying the required relative bounds on the co-degrees.
KW - even covers
KW - kikuchi matrices
KW - ldc lower bounds
KW - locally decodable codes
UR - https://www.scopus.com/pages/publications/105034367678
UR - https://www.scopus.com/pages/publications/105034367678#tab=citedBy
U2 - 10.1109/FOCS63196.2025.00066
DO - 10.1109/FOCS63196.2025.00066
M3 - Conference contribution
AN - SCOPUS:105034367678
T3 - Proceedings - Annual IEEE Symposium on Foundations of Computer Science, FOCS
SP - 1262
EP - 1285
BT - Proceedings - 2025 IEEE 66th Annual Symposium on Foundations of Computer Science, FOCS 2025
PB - IEEE Computer Society
T2 - 66th IEEE Annual Symposium on Foundations of Computer Science, FOCS 2025
Y2 - 14 December 2025 through 17 December 2025
ER -