2009 | OriginalPaper | Buchkapitel
Composition of Semi-LTCs by Two-Wise Tensor Products
verfasst von : Eli Ben-Sasson, Michael Viderman
Erschienen in: Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques
Verlag: Springer Berlin Heidelberg
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We continue the study of the local testability of error correcting codes constructed by taking the two-wise tensor product of a “base-code” with itself. We show that if the base-code is any locally testable code (LTC) or any expander code, then the code obtained by taking the
repeated
two-wise tensor product of the base-code with itself is locally testable. This extends the results of Dinur et al. in [11] in two ways. First, we answer a question posed in that paper by expanding the class of allowed base-codes to include all locally testable code, and not just so-called
uniform LTCs
whose associated tester queries all codeword entries with equal probability. Second, we show that
repeating
the two-wise tensor operation a constant number of times still results in a locally testable code, improving upon previous results which only worked when the tensor product was applied
once
.
To obtain our results we define a new tester for the tensor product of LTCs. Our tester uses the distribution of the tester associated with the base-code to sample rows and columns of the product code. This construction differs from previously studied testers for tensor product codes which sampled rows and columns
uniformly
.