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Some Remarks on Commuting Probability

Alexander Kushkuley

TL;DR

The paper addresses estimating commutator probabilities in finite groups by leveraging representation theory. It introduces non-negative virtual characters and an associated random variable $\xi_{g,\phi}$ to bound $c(g)$ using partial spectral information, culminating in a key formula $\mathbb{E}(\xi_{g,\phi})=\sum_i (a_i/n_i^2)\Re(\chi_i(g))$ and bounds $c(g)\le \mathbb{E}(\xi_{g,\phi})/\phi(1)$ for non-negative $\phi$. This framework yields concrete corollaries, including bounds derived from the regular representation and specific irreducibles, and connects to classical results such as Frobenius's formula and Gustafson's $5/8$ theorem with examples from $S_n$ and $A_5$. The approach provides a flexible, character-based method to bound commuting probabilities with limited spectral data, offering insights into the structure of finite groups via their representations.

Abstract

We introduce a weighted sum of irreducible character ratios as an estimator for commutator probabilities. The estimator yields Frobenius formula when applied to a regular representation

Some Remarks on Commuting Probability

TL;DR

The paper addresses estimating commutator probabilities in finite groups by leveraging representation theory. It introduces non-negative virtual characters and an associated random variable to bound using partial spectral information, culminating in a key formula and bounds for non-negative . This framework yields concrete corollaries, including bounds derived from the regular representation and specific irreducibles, and connects to classical results such as Frobenius's formula and Gustafson's theorem with examples from and . The approach provides a flexible, character-based method to bound commuting probabilities with limited spectral data, offering insights into the structure of finite groups via their representations.

Abstract

We introduce a weighted sum of irreducible character ratios as an estimator for commutator probabilities. The estimator yields Frobenius formula when applied to a regular representation

Paper Structure

This paper contains 4 sections, 11 theorems, 44 equations.

Key Result

Lemma 1

If the virtual character $\phi$ (2.2) is non-negative then and if $\phi$ is exact then

Theorems & Definitions (15)

  • Remark 1
  • Remark 2
  • Lemma 1
  • Theorem 1
  • Lemma 2
  • Lemma 3
  • Lemma 4
  • Corollary 1
  • Corollary 2
  • Corollary 3
  • ...and 5 more