Subspace designs based on algebraic function fields

Subspace designs are a (large) collection of high-dimensional subspaces {H_i} of F_q^m such that for any low-dimensional subspace W, only a small number of subspaces from the collection have non-trivial intersection with W; more precisely, the sum of dimensions of W cap H_i is at most some parameter...

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Main Authors: Guruswami, Venkatesan, Xing, Chaoping, Yuan, Chen
Other Authors: School of Physical and Mathematical Sciences
Format: Article
Language:English
Published: 2018
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Online Access:https://hdl.handle.net/10356/80416
http://hdl.handle.net/10220/46499
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Institution: Nanyang Technological University
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spelling sg-ntu-dr.10356-804162023-02-28T19:30:30Z Subspace designs based on algebraic function fields Guruswami, Venkatesan Xing, Chaoping Yuan, Chen School of Physical and Mathematical Sciences DRNTU::Science::Mathematics Subspace Design Dimension Expander Subspace designs are a (large) collection of high-dimensional subspaces {H_i} of F_q^m such that for any low-dimensional subspace W, only a small number of subspaces from the collection have non-trivial intersection with W; more precisely, the sum of dimensions of W cap H_i is at most some parameter L. The notion was put forth by Guruswami and Xing (STOC'13) with applications to list decoding variants of Reed-Solomon and algebraic-geometric codes, and later also used for explicit rank-metric codes with optimal list decoding radius. Guruswami and Kopparty (FOCS'13, Combinatorica'16) gave an explicit construction of subspace designs with near-optimal parameters. This construction was based on polynomials and has close connections to folded Reed-Solomon codes, and required large field size (specifically q >= m). Forbes and Guruswami (RANDOM'15) used this construction to give explicit constant degree "dimension expanders" over large fields, and noted that subspace designs are a powerful tool in linear-algebraic pseudorandomness. Here, we construct subspace designs over any field, at the expense of a modest worsening of the bound $L$ on total intersection dimension. Our approach is based on a (non-trivial) extension of the polynomial-based construction to algebraic function fields, and instantiating the approach with cyclotomic function fields. Plugging in our new subspace designs in the construction of Forbes and Guruswami yields dimension expanders over F^n for any field F, with logarithmic degree and expansion guarantee for subspaces of dimension Omega(n/(log(log(n)))). MOE (Min. of Education, S’pore) Published version 2018-11-01T03:17:29Z 2019-12-06T13:48:57Z 2018-11-01T03:17:29Z 2019-12-06T13:48:57Z 2017 Journal Article Guruswami, V., Xing, C., & Yuan, C. (2017). Subspace designs based on algebraic function fields. Leibniz International Proceedings in Informatics, 80, 86-. doi:10.4230/LIPIcs.ICALP.2017.86 https://hdl.handle.net/10356/80416 http://hdl.handle.net/10220/46499 10.4230/LIPIcs.ICALP.2017.86 en Leibniz International Proceedings in Informatics © 2017 Venkatesan Guruswami, Chaoping Xing, and Chen Yuan, licensed under Creative Commons License CC-BY 44th International Colloquium on Automata, Languages, and Programming (ICALP 2017). 10 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Science::Mathematics
Subspace Design
Dimension Expander
spellingShingle DRNTU::Science::Mathematics
Subspace Design
Dimension Expander
Guruswami, Venkatesan
Xing, Chaoping
Yuan, Chen
Subspace designs based on algebraic function fields
description Subspace designs are a (large) collection of high-dimensional subspaces {H_i} of F_q^m such that for any low-dimensional subspace W, only a small number of subspaces from the collection have non-trivial intersection with W; more precisely, the sum of dimensions of W cap H_i is at most some parameter L. The notion was put forth by Guruswami and Xing (STOC'13) with applications to list decoding variants of Reed-Solomon and algebraic-geometric codes, and later also used for explicit rank-metric codes with optimal list decoding radius. Guruswami and Kopparty (FOCS'13, Combinatorica'16) gave an explicit construction of subspace designs with near-optimal parameters. This construction was based on polynomials and has close connections to folded Reed-Solomon codes, and required large field size (specifically q >= m). Forbes and Guruswami (RANDOM'15) used this construction to give explicit constant degree "dimension expanders" over large fields, and noted that subspace designs are a powerful tool in linear-algebraic pseudorandomness. Here, we construct subspace designs over any field, at the expense of a modest worsening of the bound $L$ on total intersection dimension. Our approach is based on a (non-trivial) extension of the polynomial-based construction to algebraic function fields, and instantiating the approach with cyclotomic function fields. Plugging in our new subspace designs in the construction of Forbes and Guruswami yields dimension expanders over F^n for any field F, with logarithmic degree and expansion guarantee for subspaces of dimension Omega(n/(log(log(n)))).
author2 School of Physical and Mathematical Sciences
author_facet School of Physical and Mathematical Sciences
Guruswami, Venkatesan
Xing, Chaoping
Yuan, Chen
format Article
author Guruswami, Venkatesan
Xing, Chaoping
Yuan, Chen
author_sort Guruswami, Venkatesan
title Subspace designs based on algebraic function fields
title_short Subspace designs based on algebraic function fields
title_full Subspace designs based on algebraic function fields
title_fullStr Subspace designs based on algebraic function fields
title_full_unstemmed Subspace designs based on algebraic function fields
title_sort subspace designs based on algebraic function fields
publishDate 2018
url https://hdl.handle.net/10356/80416
http://hdl.handle.net/10220/46499
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