
TL;DR
This paper generalizes the Cauchy-Binet formula to pseudo-determinants, establishing new identities that connect eigenvalues, minors, and graph-theoretic properties, including a Pythagorean theorem for matrices and applications to graph theory.
Contribution
It extends the classical Cauchy-Binet formula to pseudo-determinants and derives new identities linking minors, eigenvalues, and graph invariants, with applications to the Kirchhoff and forest theorems.
Findings
Proves a Cauchy-Binet type formula for pseudo-determinants.
Derives a Pythagorean theorem for self-adjoint matrices.
Connects matrix identities to graph spanning forests.
Abstract
The pseudo-determinant Det(A) of a square matrix A is defined as the product of the nonzero eigenvalues of A. It is a basis-independent number which is up to a sign the first nonzero entry of the characteristic polynomial of A. We prove Det(F^T G) = sum_P det(F_P) det(G_P) for any two n times m matrices F,G. The sum to the right runs over all k times k minors of A, where k is determined by F and G. If F=G is the incidence matrix of a graph this directly implies the Kirchhoff tree theorem as L=F^T G is then the Laplacian and det^2(F_P) in {0,1} is equal to 1 if P is a rooted spanning tree. A consequence is the following Pythagorean theorem: for any self-adjoint matrix A of rank k, one has Det^2(A) = sum_P det^2(A_P), where det(A_P) runs over k times k minors of A. More generally, we prove the polynomial identity det(1+x F^T G) = sum_P x^{|P|} det(F_P) det(G_P) for classical determinants…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
