Results 81 to 90 of about 486 (190)
We study asymptotics of the eigenvalues and eigenfunctions of the operators used for constructing multidimensional scaling (MDS) on compact connected Riemannian manifolds, in particular on closed connected symmetric spaces.
Stepanov, Eugene, Ma, Tianyu
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Asymptotics eigenvalues for many-interval Sturm-Liouville Problems
, 2016 International Conference on Advances in Natural and Applied Sciences (ICANAS) -- APR 21-23, 2016 -- Antalya, TURKEYWOS: 000376001000088In this work we consider a Sturm-liouville equation on finite number disjoint intervals together with transmission ...
Aydemir, Kadriye +3 more
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Spectral Decomposition of Discrepancy Kernels on the Euclidean Ball, the Special Orthogonal Group, and the Grassmannian Manifold. [PDF]
Constr Approx, 2023 Dick J +3 more
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Sharp inequalities and asymptotics for polyharmonic eigenvalues
We study eigenvalues of general scalar Dirichlet polyharmonic problems in domains in. We first prove a number of inequalities satisfied by the eigenvalues on general domains, depending on the relations between the orders of the operators involved.
Freitas, Pedro, Buoso, Davide
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Eigenpairs of a Model Schrödinger Operator with Neumann Boundary Conditions
, 2011 International audienceThe considered Schrödinger operator has a quadratic potential which is degenerate in the sense that it reaches its minimum all along a line which makes the angle \theta with the boundary of the half-plane where the problem is set ...
Bonnaillie-Noël, Virginie +3 more
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Mixing Rates of the Geometrical Neutral Lorenz Model. [PDF]
J Stat Phys, 2023 Bruin H, Canales Farías HH.
europepmc +1 more source
Metastability in reversible diffusion processes II: precise asymptotics for small eigenvalues
, 2005 We continue the analysis of the problem of metastability for reversible diffusion processes, initiated in [BEGK3], with a precise analysis of the low-lying spectrum of the generator.
Bovier, Anton +5 more
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Asymptotic Distributions of Estimators of Eigenvalues and Eigenfunctions in Functional Data
Journal of Sciences, Islamic Republic of Iran, 2008 Functional data analysis is a relatively new and rapidly growing area of statistics. This is partly due to technological advancements which have made it possible to generate new types of data that are in the form of curves. Because the data are functions, they lie in function spaces, which are of infinite dimension. To analyse functional data, one way,
openaire +1 more source
Electronic Journal of Differential Equations, 2016 WOS ...
Aydemir, Kadriye, Mukhtarov, Oktay S. H.
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Fractal Laplacians Defined by Iterated Function Systems with Overlaps
, 2010 We study spectral asymptotics of a class of Laplacians defined by iterated function systems with overlaps. We also study the computation of the eigenfunctions and eigenvalues of the Laplacians. Part of this work is joint with J. Chan, J. Chen, J.
Chan, John +4 more
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