Low rank approximations of symmetric polynomials and asymptotic counting of contingency tables

dc.creatorBarvinok, Alexander
dc.date2005-03-08
dc.date.accessioned2026-07-07T05:17:48Z
dc.date.available2026-07-07T05:17:48Z
dc.descriptionWe represent the number of mxn non-negative integer matrices (contingency tables) with prescribed row sums and column sums as the expected value of the permanent of a non-negative random matrix with exponentially distributed entries. We bound the variance of the obtained estimator, from which it follows that if the row and column sums are bounded by a constant fixed in advance, we get a polynomial time approximation scheme for counting contingency tables. We show that the complete symmetric polynomial of a fixed degree in n variables can be epsilon-approximated coefficient-wise by a sum of powers of O(log n) linear forms, from which it follows that if the row sums (but not necessarily column sums) are bounded by a constant, there is a deterministic approximation algorithm of m^{O(log n)} complexity to compute the logarithmic asymptotic of the number of tables.
dc.description16 pages
dc.identifierhttps://arxiv.org/abs/math/0503170
dc.identifierhttp://arxiv.org/abs/math/0503170
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/74440
dc.subjectCombinatorics
dc.subjectOptimization and Control
dc.subject05A16, 68R05, 68W20, 15A15
dc.titleLow rank approximations of symmetric polynomials and asymptotic counting of contingency tables
dc.typetext

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