SearcharxivSearch

arXiv · 2109.00341

Hierarchical Complexity of Finite Groups

Abstract

What are simplest ways to construct a finite group from its atomic constituents? To understand part-whole relations between finite simple groups and the global structure of finite groups, we axiomatize complexity measures on finite groups. From the Jordan-H\"older theorem and Frobenius-Lagrange embedding in an iterated wreath product, any finite group $G$ can be constructed from a unique collection of simple groups, its Jordan-H\"older factors, each with well-defined multiplicities through iterated extension. What is the least number of levels needed in such a hierarchical construction if a level is allowed to include several of these atomic pieces? To answer this question rigorously, we give a natural set of hierarchical complexity axioms for finite groups, and prove these axioms are satisfied by a unique maximal complexity function $\mathbf{cx}$. We prove this function is the same as the minimal number of "spans of gems" (direct products of simple groups) in a subnormal series with all factors of this type. This hierarchical complexity is thus effectively computable, and bounded below by all other complexity measures satisfying the axioms, including generalizations of derived length and Fitting height. For solvable groups, the unique maximal group complexity measure satisfying the axioms agrees with the restriction of the one for all finite groups, and in addition satisfies an embedding axiom. In both cases, the complexity of a group is bounded above and below by various natural functions. In particular, hierarchical complexity is sharply bounded above by socle length, with a canonical decomposition. Examples illustrate applications of the bounds and axiomatic methods in determining complexity of groups. We show also that minimal decompositions need not be unique in terms of what components occur nor their ordering. The complexity axioms are also shown to be independent.

Explore related subjects

Keep this discovery

BibTeXRIS

Chrystopher L. Nehaniv. 2021-08-26. Hierarchical Complexity of Finite Groups. https://arxiv.org/abs/2109.00341

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related papers

Average Chord Lengths in a Triangle

Let $P$ be a point inside a triangle $T$. We consider the average length of the chords of $T$ through $P$, where the direction of the chord is chosen uniformly. An elementary formula is obtained in terms of the distances from $P$ to the sides and vertices of the triangle. Several classical triangle centers give especially simple specializations. For example, if $I$ is the incenter, then \[ M_T(I)=\frac{2r}{\pi} \log\left(\cot\frac A4\cot\frac B4\cot\frac C4\right). \] Our main result is the sharp inequality \[ M_T(P)\le \frac{p}{\pi\sqrt3}\log(2+\sqrt3), \] valid simultaneously for every triangle of perimeter $p$ and every interior point $P$. Thus, among all such pairs $(T,P)$, the largest possible average chord length occurs only when $T$ is equilateral and $P$ is its center. The proof is an elementary symmetrization argument. We close with brief remarks relating the problem to the radial center of a convex body, the electrostatic potential center of a triangle, and dual quermassintegrals.

math.GM

A Proof of Liu's Conjecture on the Fundamental Triangle Inequality

Let $a,b,c$ be the side lengths of a triangle, and let $R$ and $r$ denote its circumradius and inradius, respectively. We prove a conjecture of Liu stating that \[\sum_{\mathrm{cyc}} \left(\frac{a(b+c-a)}{bc}\right)^k \geq 2+\left(\frac{2r}{R}\right)^k,~~k>1, \] with the reverse inequality for $0<k<1$. The proof reduces the problem to three positive variables with fixed sum and product. We also determine the equality cases.

math.GM