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arXiv:2611.14322 · v1

Bounding and Approximating Kostka Numbers

Kostka 数的界与近似

首次提交 2026-11-11 00:47
版本更新 2026-11-11 00:47
雷达观测 2026-11-11 13:07
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摘要

Kostka numbers, the coefficients of Schur polynomials, count semistandard Young tableaux of prescribed shape and weight. We give a deterministic algorithm for approximating Kostka numbers within a simply exponential factor in the number of variables and the size of the partition. Our approach combines Gurvits capacity bounds for log-concave polynomials with an algorithm for approximating the Gurvits capacity of a Schur polynomial. For a Schur polynomial in nn variables indexed by λλ, we show that the logarithm of the capacity associated with any nonzero coefficient can be approximated to additive error εε in time polynomial in nn, ∣λ∣|λ|, and log⁡(1/ε)\log(1/ε). The analysis establishes an explicit bounded optimization region and efficient approximate first-order oracles, and handles boundary weights through a factorization into smaller Schur polynomials.

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基于摘要 · 非全文审阅

作者提出一种确定性算法,在变量数与分拆规模上以单指数因子近似 Kostka 数,方法结合 Gurvits 容量界与 Schur 多项式容量的近似算法。

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v1 · 2026-11-11 00:47 · 最新观测版本

Bounding and Approximating Kostka Numbers

Kostka numbers, the coefficients of Schur polynomials, count semistandard Young tableaux of prescribed shape and weight. We give a deterministic algorithm for approximating Kostka numbers within a simply exponential factor in the number of variables and the size of the partition. Our approach combines Gurvits capacity bounds for log-concave polynomials with an algorithm for approximating the Gurvits capacity of a Schur polynomial. For a Schur polynomial in nn variables indexed by λλ, we show that the logarithm of the capacity associated with any nonzero coefficient can be approximated to additive error εε in time polynomial in nn, ∣λ∣|λ|, and log⁡(1/ε)\log(1/ε). The analysis establishes an explicit bounded optimization region and efficient approximate first-order oracles, and handles boundary weights through a factorization into smaller Schur polynomials.

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