Quadratic lower bounds on matrix rigidity

被引:0
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作者
Lokam, Satyanarayana V. [1 ]
机构
[1] Microsoft Res, Redmond, WA USA
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中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
The rigidity of a matrix A with respect to the rank bound r is the minimum number of entries of A that must be changed to reduce the rank of A to or below r. It is a major unsolved problem (Valiant, 1977) to construct "explicit" families of n x n matrices of rigidity n(1+delta) for r = epsilon n, where epsilon and delta are positive constants. In fact, no superlinear lower bounds are known for explicit families of matrices for rank bound r = Omega(n). In this paper we give the first optimal, S?(n 2), lower bound on the rigidity of two "somewhat explicit" families of matrices with respect to the rank bound r = cn, where c is an absolute positive constant. The entries of these matrix families are (i) square roots of n(2) distinct primes and (ii) primitive roots of unity of prime orders for the first n(2) primes. Our proofs use an algebraic dimension concept introduced by Shoup and Smolensky (1997) and a generalization of that concept.
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页码:295 / +
页数:3
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