TY - GEN

T1 - Matrix rigidity from the viewpoint of parameterized complexity

AU - Fomin, Fedor V.

AU - Lokshtanov, Daniel

AU - Meesum, S. M.

AU - Saurabh, Saket

AU - Zehavi, Meirav

N1 - Publisher Copyright:
© Fedor V. Fomin, Daniel Lokshtanov, S.M. Meesum, Saket Saurabh, and Meirav Zehavi.

PY - 2017/3/1

Y1 - 2017/3/1

N2 - The rigidity of a matrix A for a target rank r over a field F is the minimum Hamming distance between A and a matrix of rank at most r. Rigidity is a classical concept in Computational Complexity Theory: constructions of rigid matrices are known to imply lower bounds of significant importance relating to arithmetic circuits. Yet, from the viewpoint of Parameterized Complexity, the study of central properties of matrices in general, and of the rigidity of a matrix in particular, has been neglected. In this paper, we conduct a comprehensive study of different aspects of the computation of the rigidity of general matrices in the framework of Parameterized Complexity. Naturally, given parameters r and k, the MATRIX RIGIDITY problem asks whether the rigidity of A for the target rank r is at most k. We show that in case D = ℝ or F is any finite field, this problem is fixed-parameter tractable with respect to k + r. To this end, we present a dimension reduction procedure, which may be a valuable primitive in future studies of problems of this nature. We also employ central tools in Real Algebraic Geometry, which are not well known in Parameterized Complexity, as a black box. In particular, we view the output of our dimension reduction procedure as an algebraic variety. Our main results are complemented by a W[1]-hardness result and a subexponential-time parameterized algorithm for a special case of MATRIX RIGIDITY, highlighting the different flavors of this problem.

AB - The rigidity of a matrix A for a target rank r over a field F is the minimum Hamming distance between A and a matrix of rank at most r. Rigidity is a classical concept in Computational Complexity Theory: constructions of rigid matrices are known to imply lower bounds of significant importance relating to arithmetic circuits. Yet, from the viewpoint of Parameterized Complexity, the study of central properties of matrices in general, and of the rigidity of a matrix in particular, has been neglected. In this paper, we conduct a comprehensive study of different aspects of the computation of the rigidity of general matrices in the framework of Parameterized Complexity. Naturally, given parameters r and k, the MATRIX RIGIDITY problem asks whether the rigidity of A for the target rank r is at most k. We show that in case D = ℝ or F is any finite field, this problem is fixed-parameter tractable with respect to k + r. To this end, we present a dimension reduction procedure, which may be a valuable primitive in future studies of problems of this nature. We also employ central tools in Real Algebraic Geometry, which are not well known in Parameterized Complexity, as a black box. In particular, we view the output of our dimension reduction procedure as an algebraic variety. Our main results are complemented by a W[1]-hardness result and a subexponential-time parameterized algorithm for a special case of MATRIX RIGIDITY, highlighting the different flavors of this problem.

KW - Linear algebra

KW - Matrix rigidity

KW - Parameterized complexity

UR - http://www.scopus.com/inward/record.url?scp=85016189336&partnerID=8YFLogxK

U2 - 10.4230/LIPIcs.STACS.2017.32

DO - 10.4230/LIPIcs.STACS.2017.32

M3 - Conference contribution

AN - SCOPUS:85016189336

T3 - Leibniz International Proceedings in Informatics, LIPIcs

BT - 34th Symposium on Theoretical Aspects of Computer Science, STACS 2017

A2 - Vallee, Brigitte

A2 - Vollmer, Heribert

PB - Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing

T2 - 34th Symposium on Theoretical Aspects of Computer Science, STACS 2017

Y2 - 8 March 2017 through 11 March 2017

ER -