Characterizing and Testing Principal Minor Equivalence of Matrices

October 02, 2024 ยท The Ethereal ยท ๐Ÿ› Electron. Colloquium Comput. Complex.

๐Ÿ”ฎ THE ETHEREAL: The Ethereal
Pure theory โ€” exists on a plane beyond code

"No code URL or promise found in abstract"

Evidence collected by the PWNC Scanner

Authors Abhranil Chatterjee, Sumanta Ghosh, Rohit Gurjar, Roshan Raj arXiv ID 2410.01961 Category cs.CC: Computational Complexity Cross-listed cs.DS, math.CO Citations 0 Venue Electron. Colloquium Comput. Complex. Last Checked 3 months ago
Abstract
Two matrices are said to be principal minor equivalent if they have equal corresponding principal minors of all orders. We give a characterization of principal minor equivalence and a deterministic polynomial time algorithm to check if two given matrices are principal minor equivalent. Earlier such results were known for certain special cases like symmetric matrices, skew-symmetric matrices with {0, 1, -1}-entries, and matrices with no cuts (i.e., for any non-trivial partition of the indices, the top right block or the bottom left block must have rank more than 1). As an immediate application, we get an algorithm to check if the determinantal point processes corresponding to two given kernel matrices (not necessarily symmetric) are the same. As another application, we give a deterministic polynomial-time test to check equality of two multivariate polynomials, each computed by a symbolic determinant with a rank 1 constraint on coefficient matrices.
Community shame:
Not yet rated
Community Contributions

Found the code? Know the venue? Think something is wrong? Let us know!

๐Ÿ“œ Similar Papers

In the same crypt โ€” Computational Complexity