English

Representation of tensor functions using lower-order structural tensor set: three-dimensional theory

Representation Theory 2026-03-13 v2 Materials Science Group Theory

Abstract

The representation theory of tensor functions is a powerful mathematical tool for constitutive modeling of anisotropic materials. A major limitation of the traditional theory is that many point groups require fourth- or sixth-order structural tensors, which significantly impedes practical engineering applications. Recent advances have introduced a reformulated representation theory that enables the modeling of anisotropic materials using only lower-order structural tensors (i.e., second-order or lower). Building upon the reformulated theory, this work establishes the representations of tensor functions for three-dimensional centrosymmetric point groups. For each point group, we propose a lower-order structural tensor set and derive the representations of tensor functions explicitly. For scalar-valued and second-order symmetric tensor-valued functions, our theory is indeed applicable to all three-dimensional point groups because their representations are determined by the corresponding centrosymmetric groups. The representation theory presented here is broadly applicable for constitutive modeling of anisotropic materials.

Keywords

Cite

@article{arxiv.2510.14028,
  title  = {Representation of tensor functions using lower-order structural tensor set: three-dimensional theory},
  author = {Mohammad Madadi and Pu Zhang},
  journal= {arXiv preprint arXiv:2510.14028},
  year   = {2026}
}
R2 v1 2026-07-01T06:39:54.428Z