Results 1 to 10 of about 140 (101)
Elliptic multiparameter eigenvalue problems [PDF]
We study the eigenproblemwhereand Tm, Vmn are self-adjoint operators on separable Hilbert spaces Hm. We assume the Tm to be bounded below with compact resolvents, and the Vmn to be bounded and to satisfy an “ellipticity” condition. If k = 1 then ellipticity is automatic, and if each Tm is positive definite then the problem is “left definite”.
Binding, P. A., Seddighi, K.
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Inverse multiparameter eigenvalue problems for matrices III [PDF]
This note will complement and, in a certain sense, complete our earlier studies [3, 4] of the theory of inverse multiparameter eigenvalue problems for matrices. In those papers, we considered the so called “additive inverse problem” which, briefly stated for the 2-parameter case, asks for conditions on given n × n matrices A, B, C and on given points ...
Browne, Patrick J., Sleeman, B. D.
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Shapley–Snow Kernels, Multiparameter Eigenvalue Problems, and Stochastic Games [PDF]
We propose a connection between finite zero-sum stochastic games (henceforth stochastic games) and multiparameter eigenvalue problems. This connection, which relies on the theory developed by Shapley and Snow for matrix games, opens new possibilities in the study of stochastic games.
Luc Attia, Miquel Oliu-Barton
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Multiparameter Eigenvalue Problems and Shift-invariance
sponsorship: This work was supported by (1) KU Leuven: Research Fund (projects C16/15/059, C3/19/053, C24/18/022, C3/20/117), Industrial Research Fund (Fellowships 13-0260, IOF/16/004) and several Leuven Research and Development bilateral industrial projects; (2) Flemish Government Agencies: (a) FWO: EOS Project G0F6718N (SeLMA), SBO project S005319N ...
De Cock, Katrien, De Moor, Bart
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Left Definite Multiparameter Eigenvalue Problems [PDF]
We study the problem \[ ( ∗ ) T m x m = ∑ n = 1 k λ n
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Applications of Multiparameter Eigenvalue Problems
It was mainly due to Atkinson works, who introduced Linear Multiparameter Eigenvalue problems (LMEPs), based on determinantal operators on the Tensor Product Space. Later, in the area of Multiparameter eigenvalue problems has received attention from the Mathematicians in the recent years also, who pointed out that there exist a variety of mixed ...
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Fiber product homotopy method for multiparameter eigenvalue problems [PDF]
We develop a new homotopy method for solving multiparameter eigenvalue problems (MEPs) called the fiber product homotopy method. For a $k$-parameter eigenvalue problem with matrices of sizes $n_1,\dots ,n_k = O(n)$, fiber product homotopy method requires deformation of $O(1)$ linear equations, while existing homotopy methods for MEPs require $O(n ...
Rodriguez, Jose Israel +3 more
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Asymptotic spectrum of multiparameter eigenvalue problems [PDF]
Results are given for the asymptotic spectrum of a multiparameter eigenvalue problem in Hilbert space. They are based on estimates for eigenvalues derived from the minim un-maximum principle. As an application, a multiparameter Sturm-Liouville problem is considered.
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Comparison cones for multiparameter eigenvalue problems
AbstractWe consider the multiparameter eigenvalue problem (Tr + ∑s = 1k λs Vrs) xr = 0, xr ≠ 0, 1 ⩽ r ⩽ k, where Tr and Vrs are self-adjoint linear operators on Hilbert spaces Hr, the Vrs being bounded. The problem may be posed in either ⊕r = 1k Hr or ⊕r = 1k Hr and we develop variational approaches for both settings.
Binding, Paul, Browne, Patrick J
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Discretization of multiparameter eigenvalue problems
Although multiparameter eigenvalue problems, as for example Mathieu's differential equation, have been known for a long time, so far no work has been done on the numerical treatment of these problems. So in this paper we extend the spectral theory for one parameter (cf.
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