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1979, Linear and Multilinear Algebra
Let 1 ≤ m ≤ n, and let χ : H → C be a degree 1 character on a subgroup H of the symmetric group of degree m. The generalized matrix function on an m × σ(j) , and the decomposable numerical radius of an n × n matrix A on orthonormal tensors associated with χ is defined by r ⊥ χ (A) = max{|d χ (X * AX)| : X is an n × m matrix such that X * X = I m }.
Linear and Multilinear Algebra, 1988
Let 1 ≤ m ≤ n, and let χ : H → C be a degree 1 character on a subgroup H of the symmetric group of degree m. The generalized matrix function on an m × m matrix B = (b ij) associated with χ is defined by d χ (B) = σ∈H χ(σ) m j=1 b j,σ(j) , and the decomposable numerical radius of an n × n matrix A on orthonormal tensors associated with χ is defined by r ⊥ χ (A) = max{|d χ (X * AX)| : X is an n × m matrix such that X * X = I m }. We study those linear operators L on n × n complex matrices that satisfy r ⊥ χ (L(A)) = r ⊥ χ (A) for all A ∈ M n. In particular, it is shown that if 1 ≤ m < n, such an operator must be of the form A → ξU * AU or A → ξU * A t U for some unitary matrix U and some ξ ∈ C with |ξ| = 1.
Linear Algebra and its Applications, 2000
Let 1 ≤ m ≤ n, and let χ : H → C be a degree 1 character on a subgroup H of the symmetric group of degree m. The generalized matrix function on an m × σ(j) , and the decomposable numerical range of an n × n matrix A on orthonormal tensors associated with χ is defined by
Electronic Journal of Linear Algebra, 2018
The maximal numerical range W0(A) of a matrix A is the (regular) numerical range W (B) of its compression B onto the eigenspace L of A*A corresponding to its maximal eigenvalue. So, always W0(A) ⊆ W (A). Conditions under which W0(A) has a non-empty intersection with the boundary of W (A) are established, in particular, when W0(A) = W(A). The set W0(A) is also described explicitly for matrices unitarily similar to direct sums of 2-by-2 blocks, and some insight into the behavior of W0(A) is provided when L has codimension one.
Linear Algebra and its Applications, 2007
Dedicated to Professor Roger Horn on the occasion of his sixty fifth birthday.
Linear and Multilinear Algebra, 2001
We characterize those linear operators on triangular or diagonal matrices preserving the numerical range or radius.
Journal of Mahani Mathematical Research, 2021
We present an extension of Perron-Frobenius theory to the higher-rank numerical range of real matrices. We define a new type of the rank-k numerical radius for real matrices, i.e., the sign-real rankk numerical radius, and derive some properties of it. In addition, we extend Issos' results on the higher-rank numerical range of nonnegative matrices to real matrices. Finally, we give some examples that are used to illustrate our theoretical results.
Applied Mathematics and Computation, 2016
Let A and C be square complex matrices of size n, the C-determinantal range of A is the subset of the complex plane {det (A − U CU *) : U U * = I n }. If A, C are both Hermitian matrices, then by a result of M. Fiedler [11] this set is a real line segment. In this paper we study this set for the case when C is a Hermitian matrix. Our purpose is to revisit and improve two well-known results on this topic. The first result is due to C.-K. Li concerning the C-numerical range of a Hermitian matrix, see Condition 5.1 (a) in [20]. The second one is due to C.-K. Li, Y.-T. Poon and N.-S. Sze about necessary and sufficient conditions for the C-determinantal range of A to be a subset of the line, see [21, Theorem 3.3]. C (A) = V CV * (U AU *) for any U, V ∈ U n. Definition 1.2. The σ-points of C (A) are defined by z σ = n i=1 (α i − γ σ(i)), σ ∈ S n , where α 1 ,. .. , α n and γ 1 ,. .. , γ n are the eigenvalues of A and C, respectively. It is easy to see that all the (not necessarily distinct) n! σ-points belong to C (A). The characterization of the C-determinantal range of A for Hermitian matrices A and C was obtained by M. Fiedler [11], who proved that C (A) is a real line segment, whose endpoints are the minimal and maximal σ-points of C (A). The C-determinantal range of A is intimately connected with a famous conjecture of M. Marcus [22] and G. N. de Oliveira [24], which can be reformulated as follows: for normal matrices A, C ∈ M n it holds that C (A) is a subset of the convex hull of the σ-points z σ , σ ∈ S n. This
Linear Algebra and Its Applications, 1995
The generalized spectral radius ,5(
Banach Center Publications, 2010
Schur multipliers were introduced by Schur in the early 20th century and have since then found a considerable number of applications in Analysis and enjoyed an intensive development. Apart from the beauty of the subject in itself, sources of interest in them were connections with Perturbation Theory, Harmonic Analysis, the Theory of Operator Integrals and others. Advances in the quantisation of Schur multipliers were recently made in [29]. The aim of the present article is to summarise a part of the ideas and results in the theory of Schur and operator multipliers. We start with the classical Schur multipliers defined by Schur and their characterisation by Grothendieck, and make our way through measurable multipliers studied by Peller and Spronk, operator multipliers defined by Kissin and Shulman and, finally, multidimensional Schur and operator multipliers developed by Juschenko and the authors. We point out connections of the area with Harmonic Analysis and the Theory of Operator Integrals. 1. Classical Schur multipliers For a Hilbert space H, let B(H) be the collection of all bounded linear operators acting on H equipped with its operator norm • op. We denote by ℓ 2 the Hilbert space of all square summable complex sequences. With an operator A ∈ B(ℓ 2), one can associate a matrix (a i,j) i,j∈N by letting a i,j = (Ae j , e i), where {e i } i∈N is the standard orthonormal basis of ℓ 2. The space M ∞ of all matrices obtained in this way is a subspace of the space M N of all complex matrices indexed by N × N. It is easy to see that the correspondence between B(ℓ 2) and M ∞ is one-to-one. Any function ϕ : N × N → C gives rise to a linear transformation S ϕ acting on M N and given by S ϕ ((a i,j) i,j) = (ϕ(i, j)a i,j) i,j. In other words, S ϕ ((a i,j) i,j) is the entry-wise product of the matrices (ϕ(i, j)) i,j and (a i,j) i,j , often called Schur product. The function ϕ is called a Schur multiplier if S ϕ leaves the subspace M ∞ invariant. We denote by S(N, N) the set of all Schur multipliers. Let ϕ be a Schur multiplier. Then the correspondence between B(ℓ 2) and M ∞ gives rise to a mapping (which we denote in the same way) on B(ℓ 2). We first note that S ϕ is necessarily bounded in the operator norm. This follows from the Closed Graph Theorem; indeed, suppose that A k → 0 and S ϕ (A k) → B in the operator norm, for some elements A k , B ∈ B(ℓ 2),
Linear Algebra and its Applications, 2014
Canadian Mathematical Bulletin, 2000
Suppose m and n are integers such that 1 m n. For a subgroup H of the symmetric group S m of degree m, consider the generalized matrix function on m m matrices B = (b ij ) de ned by d H (B) = P 2H Q m j=1 b j (j) and the generalized numerical range of an n n complex matrix A associated with d H de ned by W H (A) = fd H (X AX) : X is n m such that X X = I m g:
Linear and Multilinear Algebra, 1996
Let A, C be n × n complex matrices. We prove in the affirmative the conjecture that the C-numerical range of A, defined by W C (A) = {tr (CU * AU) : U is unitary} , is always star-shaped with respect to star-center (tr A)(tr C)/n. This result is equivalent to that the image of the unitary orbit {U * AU : U is unitary} of A under any complex linear functional is always star-shaped.
Numerische Mathematik, 1976
For each norm v on <en, we define a numerical range Z., which is symmetric in the sense that Z. =Z"D, where v D is the dual norm. We prove that, for aE <e nn , Z.(a) contains the classical field of values V(a). In the special case that v is the lcnorm, Z.(a) is contained in a set G(a) of Gershgorin type defined by C. R. Johnson. When a is in the complex linear span of both the Hennitians and the v-Hennitians, then Z.(a), V(a) and the convex hull of the usual v-numerical range V.(a) all coincide. We prove some results concerning points of V(a) which are extreme points of Z.(a).
Linear Algebra and its Applications, 1999
In [18], among other equivalent conditions, it is proved that a square complex matrix A is permutationally similar to a block-shift matrix if and only if for any complex matrix B with the same zero pattern as A, W (B), the numerical range of B, is a circular disk centered at the origin. In this paper, we add a long list of further new equivalent conditions. The corresponding result for the numerical range of a square complex matrix to be invariant under a rotation about the origin through an angle of 2π/m, where m 2 is a given positive integer, is also proved. Many interesting by-products are obtained. In particular, on the numerical range of a square nonnegative matrix A, the following unexpected results are established: (i) when the undirected graph of A is connected, if W (A) is a circular disk centered at the origin, then so is W (B), for any complex matrix B with the same zero pattern as A; (ii) when A is irreducible, if λ is an eigenvalue in the peripheral spectrum of A that lies on the boundary of W (A), then λ is a sharp point of W (A). We also obtain results on the numerical range of an irreducible square nonnegative matrix, which strengthen or clarify the work of Issos [9] and Nylen and Tam [14] on this topic. Open questions are posed at the end.
Linear Algebra and its Applications, 1990
Let F be a surjective linear mapping between the algebras L(H) and L(K) of all bounded operators on nontrivial complex Hilbert spaces H and K respectively. For any positive integer k let W,(A) denote the kth numerical range of an operator A on H. If k is strictly less than one-half the dimension of H and W,(F(A)) = Wk. A) for ah A from L(H), then there is a unitary mapping U: H + K such that either F(A) = UAu* or F(A) = (UAU*)' for every A E L(H), where the transposition is taken in any basis of K, fixed in advance. This generalizes the result of S. Pierce and W. Watkins on finite-dimensional spaces. The case of k greater than or equal to one-half of the dimension of H is also treated using our method. Our proofs depend on a characterization of those linear operators preserving projections of rank one, which is of independent interest.
Electronic Journal of Linear Algebra, 2013
A subset S of the complex plane has n-fold symmetry about the origin (n-sato) if z ∈ S implies e 2π n z ∈ S. The 3 × 3 matrices A for which the numerical range W (A) has 3-sato have been characterized in two ways. First, W (A) has 3-sato if and only if the spectrum of A has 3-sato while tr(A 2 A *) = 0. In addition, W (A) has 3-sato if and only if A is unitarily similar to an element of a certain family of generalized permutation matrices. Here it is shown that for an n × n matrix A, if a specific finite collection of traces of words in A and A * are all zero, then W (A) has n-sato. Further, this condition is shown to be necessary when n = 4. Meanwhile, an example is provided to show that the condition of being unitarily similar to a generalized permutation matrix does not extend in an obvious way.
2013
For a positive integer n, let Mn be the set of n×n complex matrices. Suppose m, n ≥ 2 are positive integers and k ∈ {1, . . . , mn − 1}. Denote by W k (X) the k-numerical range of a matrix X ∈ Mmn. It is shown that a linear map φ : Mmn → Mmn satisfies
Linear Algebra and its Applications, 2010
Generalized matrix functions Let H be a subgroup of the symmetric group of degree m and let χ be an irreducible character of H. In this paper we give conditions that characterize the pairs of matrices that leave invariant the value of a generalized matrix function associated with H and χ , on the set of the upper triangular matrices.
1991
We give equivalent characterizations for those n x n complex matrices A whose unitary orbits %?(A) and C-numerical ranges WC{A) satisfy ei8&(A) = f/(A) or e'e WC(A) = WC(A) for some real 0 (or for all real 0). In particular, we show that they are the block-cyclic or block-shift operators. Some of these results are extended to infinite-dimensional Hubert spaces.
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