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On the hardness of permanent

Published: 04 March 1999 Publication History

Abstract

We prove that if there is a polynomial time algorithm which computes the permanent of a matrix of order n for any inverse polynomial fraction of all inputs, then there is a BPP algorithm computing the permanent for every matrix. It follows that this hypothesis implies P #P = BPP. Our algorithm works over any sufficiently large finite field (polynomially larger than the inverse of the assumed success ratio), or any interval of integers of similar range. The assumed algorithm can also be a probabilistic polynomial time algorithm. Our result is essentially the best possible based on any black box assumption of permanent solvers, and is a simultaneous improvement of the results of Gemmell and Sudan [GS92], Feige and Lund [FL92] as well as Cai and Hemachandra [CH91], and Toda (see [ABG90]).

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U. Feige and C. Lund. On the hardness of computing permanent of random matrices. In Proceedings of 24th STOC, pages 643{654, 1992.
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    cover image Guide Proceedings
    STACS'99: Proceedings of the 16th annual conference on Theoretical aspects of computer science
    March 1999
    582 pages
    ISBN:354065691X
    • Editors:
    • Christoph Meinel,
    • Sophie Tison

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    Springer-Verlag

    Berlin, Heidelberg

    Publication History

    Published: 04 March 1999

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