On the Equivariance Properties of Self-adjoint Matrices

Abstract

We investigate self-adjoint matrices $A\in {\mathbb{R}}^{n,n}$ with respect to their equivariance properties. We show in particular that a matrix is self-adjoint if and only if it is equivariant with respect to the action of a group ${\Gamma }_2(A)\subset \mathbf{O}(n)$ which is isomorphic to ${\otimes }_{k=1}^n{\mathbf{Z}}_2$. If the self-adjoint matrix possesses multiple eigenvalues -- this may, for instance, be induced by symmetry properties of an underlying dynamical system -- then $A$ is even equivariant with respect to the action of a group $\Gamma (A)\simeq {\prod }_{i=1}^k\mathbf{O}(m_i)$ where $m_1,\dots ,m_k$ are the multiplicities of the eigenvalues ${\lambda }_1,\dots ,{\lambda }_k$ of $A$. We discuss implications of this result for equivariant bifurcation problems, and we briefly address further applications for the Procrustes problem, graph symmetries and Taylor expansions.

References in corpus (2)

• The World of the Complex Ginzburg-Landau Equation
• Phase Diagram of the Two-Dimensional Complex Ginzburg-Landau Equation

Cited by in corpus (1)

• Continuous optimization methods for the graph isomorphism problem