A result about imbedded eigenvalues in the operator valued Friedrichs model
An iterative method for computing the eigenvalues of second kind Fredholm operators and applications.
Asymptotic behavior of singular values of certain integral operators.
Asymptotics of permutations with nearly periodic patterns of rises and falls.
Bounds for the singular values of smooth kernels
Certain function spaces related to the metaplectic representation
Contributo allo studio dei fenomeni di trasporto della carica minoritaria in regioni quasi neutre di semiconduttori fortemente e disuniformemente drogati. Riduzione del problema ad equazioni integrali
Transport phenomena of minority carriers in quasi neutral regions of heavily doped semiconductors are considered for the case of one-dimensional stationary flow and their study is reduced to a Fredholm integral equation of the second kind, the kernel and the known term of which are built from known functions of the doping arbitrarily distributed in space. The advantage of the method consists, among other things, in having all the coefficients of the differential equations and of the boundary conditions...
Convergence of numerical methods and parameter dependence of min-plus eigenvalue problems, Frenkel-Kontorova models and homogenization of Hamilton-Jacobi equations
Using the min-plus version of the spectral radius formula, one proves: 1) that the unique eigenvalue of a min-plus eigenvalue problem depends continuously on parameters involved in the kernel defining the problem; 2) that the numerical method introduced by Chou and Griffiths to compute this eigenvalue converges. A toolbox recently developed at I.n.r.i.a. helps to illustrate these results. Frenkel-Kontorova models serve as example. The analogy with homogenization of Hamilton-Jacobi equations is emphasized....
Convergence of numerical methods and parameter dependence of min-plus eigenvalue problems, Frenkel-Kontorova models and homogenization of Hamilton-Jacobi equations
Using the min-plus version of the spectral radius formula, one proves: 1) that the unique eigenvalue of a min-plus eigenvalue problem depends continuously on parameters involved in the kernel defining the problem; 2) that the numerical method introduced by Chou and Griffiths to compute this eigenvalue converges. A toolbox recently developed at I.n.r.i.a. helps to illustrate these results. Frenkel-Kontorova models serve as example. The analogy with homogenization of Hamilton-Jacobi equations...
Discrete spectrum of operator valued Friedrichs models
Eigenfunction expansions of functions describing systems with symmetries.
Eigenproblem of the generalized Neumann kernel.
Eigenvalues of Integral Operators, I.
Eigenvalues of Integral Operators. II.
Eine Eigenwertabschätzung für Integraloperatoren mit stochastischen Kernen
Error Bounds and Estimates for Eigenvalues of Integral Equations. II.
Error Bounds and Estimates for Eigenvalues of Integral Equations.
Existence and Uniqueness Theorems for a Nonlinear Integral Equation.
Fehlerabschätzung für Eigenwertnäherungen nach der Ersatzkernmethode bei Integralgleichungen.
Fonctions harmoniques positives sur certains groupes de Lie résolubles connexes