Small Littlewood-Richardson coefficients
Christian Ikenmeyer

TL;DR
This paper introduces new algorithms for exactly computing Littlewood-Richardson coefficients and deciding inequalities, along with structural insights into the related graph, leading to a proof of a longstanding conjecture.
Contribution
It presents algorithms with polynomial-time complexity for computing and comparing Littlewood-Richardson coefficients, and proves a conjecture relating coefficient values under partition stretching.
Findings
Developed an algorithm for exact computation with O(c^2 poly(n)) time.
Created an algorithm to decide if c >= t with O(t^2 poly(n)) time.
Proved a conjecture linking coefficients at different scales.
Abstract
We develop structural insights into the Littlewood-Richardson graph, whose number of vertices equals the Littlewood-Richardson coefficient c({\lambda},{\mu},{\nu}) for given partitions {\lambda}, {\mu}, and {\nu}. This graph was first introduced by B\"urgisser and Ikenmeyer in arXiv:1204.2484, where its connectedness was proved. Our insights are useful for the design of algorithms for computing the Littlewood-Richardson coefficient: We design an algorithm for the exact computation of c({\lambda},{\mu},{\nu}) with running time O(c({\lambda},{\mu},{\nu})^2 poly(n)), where {\lambda}, {\mu}, and {\nu} are partitions of length at most n. Moreover, we introduce an algorithm for deciding whether c({\lambda},{\mu},{\nu}) >= t whose running time is O(t^2 poly(n)). Even the existence of a polynomial-time algorithm for deciding whether c({\lambda},{\mu},{\nu}) >= 2 is a nontrivial new result on…
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Taxonomy
TopicsAdvanced Combinatorial Mathematics · Advanced Mathematical Identities · Algebraic structures and combinatorial models
