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Rigidity of the structured singular value and applications

Sourav Pal, Nitin Tomar

Abstract

The structured singular value $μ_E$ for a linear subspace $E$ of $M_n(\mathbb C)$ is defined by \[ μ_E(A)=1 / \inf\{\|X\| \ : \ X \in E, \ \det(I_n-AX)=0 \} \quad (A \in M_n(\mathbb{C})), \] and $μ_E(A)=0$ if there is no $X \in E$ with $\det(I_n-AX)=0$. It is well-known that $μ_E(A)$ coincides with the spectral radius $r(A)$ when $E=\{cI_n: c \in \mathbb C \}$ and $μ_E(A)=\|A\|$ when $E=M_n(\mathbb C)$, for all $A\in M_n(\mathbb C)$. Also, for any linear subspace $E$ satisfying $\{cI_n: c \in \mathbb C \} \subseteq E \subseteq M_n(\mathbb C)$, we have $r(A)\leq μ_E(A) \leq \|A\|$. We prove that if $E=\{cI_n: c \in \mathbb C \}$ and $F$ is any linear subspace of $M_n(\mathbb C)$ containing $E$, then $μ_E=μ_F$ if and only if $E=F$. We prove the exact same rigidity theorem for the linear subspace consisting of the diagonal matrices of order $n$. On the contrary, when $E=M_n(\mathbb C)$, we show that there is a proper subspace $F$ of $M_n(\mathbb C)$, viz. the space of symmetric matrices such that $μ_E=μ_F=$ operator norm. Further, we characterize all linear subspaces $F\subseteq M_n(\mathbb C)$ such that $μ_F$ coincides with the operator norm. Next, we show that in general there is no subspace $E$ of $M_n(\mathbb C)$ such that $μ_E=$ the numerical radius, not even for $M_2(\mathbb C)$. We establish the rigidity of the structured singular value for each of the subspaces $E$ of $M_2(\mathbb C)$ such that the corresponding $μ_E$-unit ball induces the domains -- symmetrized bidisc, tetrablock, pentablock, hexablock.

Rigidity of the structured singular value and applications

Abstract

The structured singular value for a linear subspace of is defined by and if there is no with . It is well-known that coincides with the spectral radius when and when , for all . Also, for any linear subspace satisfying , we have . We prove that if and is any linear subspace of containing , then if and only if . We prove the exact same rigidity theorem for the linear subspace consisting of the diagonal matrices of order . On the contrary, when , we show that there is a proper subspace of , viz. the space of symmetric matrices such that operator norm. Further, we characterize all linear subspaces such that coincides with the operator norm. Next, we show that in general there is no subspace of such that the numerical radius, not even for . We establish the rigidity of the structured singular value for each of the subspaces of such that the corresponding -unit ball induces the domains -- symmetrized bidisc, tetrablock, pentablock, hexablock.

Paper Structure

This paper contains 4 sections, 16 theorems, 86 equations.

Key Result

Proposition 2.1

For $A \in M_2(\mathbb C)$, we have Moreover, the functions $r(.), \ \mu_{\text{diag}}, \ \mu_{\text{penta}}, \ \mu_{\text{hexa}}$ and $\|.\|$ are all distinct from each other. In particular, one can choose $A, B, C \in M_2(\mathbb C)$ such that

Theorems & Definitions (35)

  • Proposition 2.1
  • proof
  • Theorem 2.2
  • proof
  • Lemma 2.3
  • proof
  • Lemma 2.4
  • proof
  • Theorem 2.5
  • proof
  • ...and 25 more