On the linear classification of even and odd permutation matrices and the complexity of computing the permanent


Cite item

Full Text

Open Access Open Access
Restricted Access Access granted
Restricted Access Subscription Access

Abstract

The problem of linear classification of the parity of permutation matrices is studied. This problem is related to the analysis of complexity of a class of algorithms designed for computing the permanent of a matrix that generalizes the Kasteleyn algorithm. Exponential lower bounds on the magnitude of the coefficients of the functional that classifies the even and odd permutation matrices in the case of the field of real numbers and similar linear lower bounds on the rank of the classifying map for the case of the field of characteristic 2 are obtained.

About the authors

A. V. Babenko

Moscow Institute of Physics and Technology

Author for correspondence.
Email: alina.v.babenko@gmail.com
Russian Federation, Dolgopudnyi, Moscow oblast, 141701

M. N. Vyalyi

Dorodnicyn Computing Center

Email: alina.v.babenko@gmail.com
Russian Federation, Moscow, 119333

Supplementary files

Supplementary Files
Action
1. JATS XML

Copyright (c) 2017 Pleiades Publishing, Ltd.