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Formalizing the Matrix Inversion Based on the Adjugate Matrix in HOL4

Authors :
Jie Zhang
Hongxing Wei
Li Liming
Yong Guan
Zhiping Shi
Capital Normal University [Beijing]
Beijing University of Chemical Technology
Beihang University (BUAA)
Zhongzhi Shi
Zhaohui Wu
David Leake
Uli Sattler
TC 12
Source :
IFIP Advances in Information and Communication Technology, 8th International Conference on Intelligent Information Processing (IIP), 8th International Conference on Intelligent Information Processing (IIP), Oct 2014, Hangzhou, China. pp.178-186, ⟨10.1007/978-3-662-44980-6_20⟩, Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications ISBN: 9783319125671, Intelligent Information Processing
Publication Year :
2014
Publisher :
HAL CCSD, 2014.

Abstract

Part 5: Automatic Reasoning; International audience; This paper presents the formalization of the matrix inversion based on the adjugate matrix in the HOL4 system. It is very complex and difficult to formalize the adjugate matrix, which is composed of matrix cofactors. Because HOL4 is based on a simple type theory, it is difficult to formally express the sub-matrices and cofactors of an n-by-n matrix. In this paper, special n-by-n matrices are constructed to replace the (n − 1)-by-(n − 1) sub-matrices, in order to compute the cofactors, thereby, making it possible to formally construct aadjugate matrices. The Laplace’s formula is proven and the matrix inversion based on the adjugate matrix is then inferred in HOL4. The paper also presents formal proofs of properties of the invertible matrix.

Details

Language :
English
ISBN :
978-3-319-12567-1
ISBNs :
9783319125671
Database :
OpenAIRE
Journal :
IFIP Advances in Information and Communication Technology, 8th International Conference on Intelligent Information Processing (IIP), 8th International Conference on Intelligent Information Processing (IIP), Oct 2014, Hangzhou, China. pp.178-186, ⟨10.1007/978-3-662-44980-6_20⟩, Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications ISBN: 9783319125671, Intelligent Information Processing
Accession number :
edsair.doi.dedup.....2670f19ba0f63a63134e604289d87337
Full Text :
https://doi.org/10.1007/978-3-662-44980-6_20⟩