On tensor products of matrix factorizations

Abstract

Let K be a field. Let f∈ K[[x1,...,xr]] and g∈ K[[y1,...,ys]] be nonzero elements. If X (resp. Y) is a matrix factorization of f (resp. g), Yoshino had constructed a tensor product (of matrix factorizations) such that XY is a matrix factorization of f+g∈ K[[x1,...,xr,y1,...,ys]]. In this paper, we propose a bifunctorial operation and its variant ' such that XY and X' Y are two different matrix factorizations of fg∈ K[[x1,...,xr,y1,...,ys]]. We call the multiplicative tensor product of X and Y. Several properties of are proved. Moreover, we find three functorial variants of Yoshino's tensor product . Then, (or its variant) is used in conjunction with (or any of its variants) to give an improved version of the standard algorithm for factoring polynomials using matrices on the class of summand-reducible polynomials defined in this paper. Our algorithm produces matrix factors whose size is at most one half the size one obtains using the standard method.

0

Turn this paper into a lesson

ArcXiv compiles a structured reading guide from this paper's metadata: plain-English importance, contributions, prerequisite concepts, which sections to read first, flashcards, and a quiz. Grounded in the abstract, never invented.

Discussion (0)

Sign in to join the discussion.

Loading comments…