2009Communications in AlgebraRequires access

On Class Size of p-Singular Elements in Finite Groups

Guohua Qian, Yanming Wang

Open publisher page 3 citations

Abstract

The object of this article is to study the connection between the structure of a finite group and the conjugacy class sizes of the p-singular elements of a finite group. The finite groups G in which every conjugacy class size of the p-singular elements satisfies some given arithmetic conditions are classified.

About this research paper

What this paper is about

The object of this article is to study the connection between the structure of a finite group and the conjugacy class sizes of the p-singular elements of a finite group. The finite groups G in which every conjugacy class size of the p-singular elements satisfies some given arithmetic conditions are classified.

Why it matters

OpenAlex reports 3 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

The object of this article is to study the connection between the structure of a finite group and the conjugacy class sizes of the p-singular elements of a finite group. The finite groups G in which every conjugacy class size of the p-singular elements satisfies some given arithmetic conditions are classified.

Key concepts: Conjugacy class, Mathematics, Class (philosophy), Mathematics Subject Classification, Connection (principal bundle), Finite group, Pure mathematics, Group (periodic table)

Related papers

Back to paper searchBrowse research topicsOriginal source
On Class Size of p-Singular Elements in Finite Groups — Research Paper | ScholarLens