DocumentCode
3379392
Title
The complexity of the inertia and some closure properties of GapL
Author
Hoang, Thanh Minh ; Thierauf, Thomas
Author_Institution
Abteilung Theor. Informatik, Univ. Ulm, Germany
fYear
2005
fDate
11-15 June 2005
Firstpage
28
Lastpage
37
Abstract
The inertia of an n × n matrix A is defined as the triple (i+ (A), i_(A), i0(A)), where i+(A), i_(A), and i0(A) are the number of eigenvalues of A, counting multiplicities, with positive, negative, and zero real part. It is known that the inertia of a large class of matrices can be determined in PL (probabilistic logspace). However, the general problem, whether the inertia of an arbitrary integer matrix is computable in PL, was an open question. In this paper we give a positive answer to this question and show that the problem is complete for PL. As consequences of this result we show necessary and sufficient conditions that certain algebraic functions like the rank or the inertia of an integer matrix can be computed in GapL.
Keywords
computability; computational complexity; eigenvalues and eigenfunctions; matrix algebra; GapL; algebraic functions; arbitrary integer matrix; closure property; computability; computational complexity; eigenvalues; inertia; matrix algebra; probabilistic logspace; Computational complexity; Control theory; Eigenvalues and eigenfunctions; Linear algebra; Linear matrix inequalities; Polynomials; Robots; Sufficient conditions; Symmetric matrices; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Complexity, 2005. Proceedings. Twentieth Annual IEEE Conference on
ISSN
1093-0159
Print_ISBN
0-7695-2364-1
Type
conf
DOI
10.1109/CCC.2005.28
Filename
1443071
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