On the gradient of the coefficient of the characteristic polynomial
Christian Ikenmeyer

TL;DR
This paper proves a generalized Cayley-Hamilton theorem involving the gradient of characteristic polynomial coefficients, leading to more efficient algebraic branching programs for determinants and polynomial coefficients, improving previous bounds significantly.
Contribution
The paper introduces the bivariate Cayley-Hamilton theorem and constructs a smaller, more efficient ABP for determinants, answering longstanding open questions.
Findings
New ABP for determinant with one-third size of previous record
Proof of the bivariate Cayley-Hamilton theorem and its corollaries
Answer to Mahajan-Vinay's open question on clow sequences
Abstract
We prove the bivariate Cayley-Hamilton theorem, a powerful generalization of the classical Cayley-Hamilton theorem. The bivariate Cayley-Hamilton theorem has three direct corollaries that are usually proved independently: The classical Cayley-Hamilton theorem, the Girard-Newton identities, and the fact that the determinant and every coefficient of the characteristic polynomial has polynomially sized algebraic branching programs (ABPs) over arbitrary commutative rings. This last fact could so far only be obtained from separate constructions, and now we get it as a direct consequence of this much more general statement. The statement of the bivariate Cayley-Hamilton theorem involves the gradient of the coefficient of the characteristic polynomial, which is a generalization of the adjugate matrix. Analyzing this gradient, we obtain another new ABP for the determinant and every…
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Taxonomy
TopicsPolynomial and algebraic computation · Advanced Combinatorial Mathematics · Commutative Algebra and Its Applications
