On Efficient Noncommutative Polynomial Factorization via Higman Linearization

In this paper we study the problem of efficiently factorizing polynomials in the free noncommutative ring F < x 1 , x 2 , … , x n > of polynomials in noncommuting variables x 1 , x 2 , … , x n over the field F . We obtain the following result: Given a noncommutative algebraic branching program...

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Veröffentlicht in:Computational complexity Jg. 34; H. 2; S. 10
Hauptverfasser: Arvind, V., Joglekar, Pushkar S.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Cham Springer International Publishing 01.12.2025
Springer Nature B.V
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ISSN:1016-3328, 1420-8954
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Zusammenfassung:In this paper we study the problem of efficiently factorizing polynomials in the free noncommutative ring F < x 1 , x 2 , … , x n > of polynomials in noncommuting variables x 1 , x 2 , … , x n over the field F . We obtain the following result: Given a noncommutative algebraic branching program of size s computing a noncommutative polynomial f ∈ F < x 1 , x 2 , … , x n > as input, where F = F q is a finite field, we give a randomized algorithm that runs in time polynomial in s , n and log 2 q that computes a factorization of f as a product f = f 1 f 2 ⋯ f r , where each f i is an irreducible polynomial that is output as a noncommutative algebraic branching program. The algorithm works by first transforming f into a linear matrix L using Higman linearization of polynomials. We then factorize the linear matrix L and recover the factorization of f . We use basic elements from Cohn's theory of free ideals rings combined with Ronyai's randomized polynomial-time algorithm for computing a nontrivial common invariant subspace of a collection of matrices over finite fields.
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ISSN:1016-3328
1420-8954
DOI:10.1007/s00037-025-00272-9