Abstract:The existence of the second (according to the module) eigenvalueλ2of a completely continuous nonnegative operatorAis proved under the conditions thatAacts in the spaceLp(Ω)orC(Ω)and its exterior squareA∧Ais also nonnegative. For the case when the operatorsAandA∧Aare indecomposable, the simplicity of the first and second eigenvalues is proved, and the interrelation between the indices of imprimitivity ofAandA∧Ais examined. For the case whenAandA∧Aare primitive, the difference (according to the module) ofλ1andλ2… Show more
“…W is also irreducible (see [3], theorem 6). This statement easily follows from the theorem 3 and the given above fact, that the matrix of the exterior square A ∧ A of the operator A in the W -basis {e i ∧ e j } (i,j)∈W \∆ coincides with the W -matrix A (2) W . The method of constructing the set W , for which the corresponding W -matrix A (2) W is positive, by the set J in the definition of J -sign-symmetricity of A (2) is given in [3] (see the proof of theorems 5 and 6):…”
Section: Reducible Operators and Their Matricesmentioning
confidence: 69%
“…. , n}, which satisfies conditions (1) and (2). Let {λ i } n i=1 be the set of all eigenvalues of the matrix A, repeated according to multiplicity.…”
Section: The Second Compound Matrix and The Exterior Square Of A Linementioning
confidence: 99%
“…Let {λ i } n i=1 be the set of all eigenvalues of the matrix A, repeated according to multiplicity. Then all the possible products of the type {λ i λ j }, where 1 ≤ i < j ≤ n, forms the set of all the possible eigenvalues of the corresponding W -matrix A (2) W , repeated according to multiplicity. In the case W = M theorem 1 turns into the Kronecker theorem (see [1], p. 80, theorem 23) about the eigenvalues of the second compound matrix.…”
Section: The Second Compound Matrix and The Exterior Square Of A Linementioning
confidence: 99%
“…This is the principal difference between the statement of theorem B and the statements, proved in [1]. The necessary and sufficient condition of the existence of complex eigenvalues on the spectral circle |λ| = ρ(A) in the case, when both the matrices A and A (2) are similar to nonnegative irreducible matrices with diagonal matrices of similarity transformations, was obtained in [3].…”
Section: Introductionmentioning
confidence: 95%
“…, n} (see, for example, [6]). If the set W satisfies conditions (1) and (2), and, in addition, the inclusion (i, k) ∈ W follows from the inclusions (i, j) ∈ W and (j, k) ∈ W for any i, j, k ∈ {1, . .…”
Abstract.A new class of sign-symmetric matrices is introduced in this paper. Such matrices are called J -sign-symmetric. The spectrum of a J -sign-symmetric irreducible matrix is studied under the assumption that its second compound matrix is also J -sign-symmetric. The conditions for such matrices to have complex eigenvalues on the spectral circle are given. The existence of two positive simple eigenvalues λ 1 > λ 2 > 0 of a J -sign-symmetric irreducible matrix A is proved under some additional conditions. The question when the approximation of a J -sign-symmetric matrix with a J -sign-symmetric second compound matrix by strictly Jsign-symmetric matrices with strictly J -sign-symmetric second compound matrices is possible is also answered in this paper.Mathematics subject classification (2010): Primary 15A48; Secondary 15A18, 15A75.
“…W is also irreducible (see [3], theorem 6). This statement easily follows from the theorem 3 and the given above fact, that the matrix of the exterior square A ∧ A of the operator A in the W -basis {e i ∧ e j } (i,j)∈W \∆ coincides with the W -matrix A (2) W . The method of constructing the set W , for which the corresponding W -matrix A (2) W is positive, by the set J in the definition of J -sign-symmetricity of A (2) is given in [3] (see the proof of theorems 5 and 6):…”
Section: Reducible Operators and Their Matricesmentioning
confidence: 69%
“…. , n}, which satisfies conditions (1) and (2). Let {λ i } n i=1 be the set of all eigenvalues of the matrix A, repeated according to multiplicity.…”
Section: The Second Compound Matrix and The Exterior Square Of A Linementioning
confidence: 99%
“…Let {λ i } n i=1 be the set of all eigenvalues of the matrix A, repeated according to multiplicity. Then all the possible products of the type {λ i λ j }, where 1 ≤ i < j ≤ n, forms the set of all the possible eigenvalues of the corresponding W -matrix A (2) W , repeated according to multiplicity. In the case W = M theorem 1 turns into the Kronecker theorem (see [1], p. 80, theorem 23) about the eigenvalues of the second compound matrix.…”
Section: The Second Compound Matrix and The Exterior Square Of A Linementioning
confidence: 99%
“…This is the principal difference between the statement of theorem B and the statements, proved in [1]. The necessary and sufficient condition of the existence of complex eigenvalues on the spectral circle |λ| = ρ(A) in the case, when both the matrices A and A (2) are similar to nonnegative irreducible matrices with diagonal matrices of similarity transformations, was obtained in [3].…”
Section: Introductionmentioning
confidence: 95%
“…, n} (see, for example, [6]). If the set W satisfies conditions (1) and (2), and, in addition, the inclusion (i, k) ∈ W follows from the inclusions (i, j) ∈ W and (j, k) ∈ W for any i, j, k ∈ {1, . .…”
Abstract.A new class of sign-symmetric matrices is introduced in this paper. Such matrices are called J -sign-symmetric. The spectrum of a J -sign-symmetric irreducible matrix is studied under the assumption that its second compound matrix is also J -sign-symmetric. The conditions for such matrices to have complex eigenvalues on the spectral circle are given. The existence of two positive simple eigenvalues λ 1 > λ 2 > 0 of a J -sign-symmetric irreducible matrix A is proved under some additional conditions. The question when the approximation of a J -sign-symmetric matrix with a J -sign-symmetric second compound matrix by strictly Jsign-symmetric matrices with strictly J -sign-symmetric second compound matrices is possible is also answered in this paper.Mathematics subject classification (2010): Primary 15A48; Secondary 15A18, 15A75.
The tensor and exterior squares of a completely continuous non-negative linear operator A acting in the ideal space X(Ω) are studied. The theorem representing the point spectrum (except, probably, zero) of the tensor square A ⊗ A in the terms of the spectrum of the initial operator A is proved. The existence of the second (according to the module) positive eigenvalue λ 2 , or a pair of complex adjoint eigenvalues of a completely continuous non-negative operator A is proved under the additional condition, that its exterior square A ∧ A is also nonnegative.
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