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The Remote Point Problem, Small Bias Spaces, and Expanding Generator Sets ECCC Report TR09-105. Can be found at http://eccc.hpi-web.de/report/2009/105 (0)

by V Arvind, Srikanth Srinivasan
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On Rigid Matrices and U-Polynomials

by Noga Alon, Gil Cohen , 2012
"... We introduce a class of polynomials, which we call U-polynomials and show that the problem of explicitly constructing a rigid matrix can be reduced to the problem of explicitly constructing a small hitting set for this class. We prove that small-bias sets are hitting sets for the class of U-polynomi ..."
Abstract - Cited by 2 (1 self) - Add to MetaCart
We introduce a class of polynomials, which we call U-polynomials and show that the problem of explicitly constructing a rigid matrix can be reduced to the problem of explicitly constructing a small hitting set for this class. We prove that small-bias sets are hitting sets for the class of U-polynomials, though their size is larger than desired. Furthermore, we give two alternative proofs for the fact that small-bias sets induce rigid matrices. Finally, we construct rigid matrices from unbalanced expanders, with essentially the same size as the construction via small-bias sets.
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...ertices u, v if and only if u + v ∈ S. Then, GS is a (2n, |S|, ε)- expander. With the two theorems above we are ready to prove the following lemma. A similar lemma was proved by Arvind and Srinivasan =-=[AS10]-=-. Here we give a somewhat simpler proof. Lemma 4.5. Let S ⊆ Fn2 be an ε-biased set. Then, for any subspace U ⊆ Fn2 of dimension k |S ∩ U | |S| ≤ 2 k−n + ε. Proof: Define the graph GS = (V,E) as in The...

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