Results 301 to 310 of about 112,078 (333)
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On Eigenfunction Expansion of Solutions to the Hamilton Equations
, 2013We establish a spectral representation for solutions to linear Hamilton equations with positive definite energy in a Hilbert space. Our approach is a special version of M.
A. Komech, E. Kopylova
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Variation partitioning involving orthogonal spatial eigenfunction submodels.
Ecology, 2012When partitioning the variation of univariate or multivariate ecological data with respect to several submodels of spatial eigenfunctions (e.g., Moran's eigenvector maps, MEM) acting as explanatory data, a problem occurs: although the submodels are ...
P. Legendre, D. Borcard, D. Roberts
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On Singularities in Eigenfunctions
The Journal of Chemical Physics, 1965The relationship between some singularities of the eigenfunction and convergence of the Legendre expansion is studied for the ground state of the helium atom.
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, 2011
The concept of a biorthogonal eigenfunction system (BES) of linear stability equations has been utilized for receptivity problems in boundary layers, wall jets, pipe ow, and detonations.
A. Tumin
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The concept of a biorthogonal eigenfunction system (BES) of linear stability equations has been utilized for receptivity problems in boundary layers, wall jets, pipe ow, and detonations.
A. Tumin
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Embedding of eigenfunctions of the Johnson graph into eigenfunctions of the Hamming graph
Journal of Applied and Industrial Mathematics, 2014Under study is the relationship between the eigenfunctions of the Johnson and Hamming graphs. An eigenfunction of a graph is an eigenvector of its adjacency matrix with some eigenvalue; moreover, an eigenfunction can be identically zero. We find a criterion for the embeddability of an eigenfunction of the Johnson graph J(n, w) with a given eigenvalue ...
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1992
Publisher Summary This chapter describes the eigenfunction expansions applicable to linear differential equations with linear boundary conditions. Any “well-behaved” function can be expanded in a complete set of eigenfunctions. In the method discussed in the chapter, the dependent variable in a differential equation is expanded as a sum of the ...
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Publisher Summary This chapter describes the eigenfunction expansions applicable to linear differential equations with linear boundary conditions. Any “well-behaved” function can be expanded in a complete set of eigenfunctions. In the method discussed in the chapter, the dependent variable in a differential equation is expanded as a sum of the ...
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Eigenvalues and Eigenfunctions [PDF]
The results obtained in Chapters 2–5 can be used in the computation of eigenvalues of filters, which are given by translation-invariant linear operators. To recall, let A :\( L^2(\mathbb{Z}_{N})\rightarrow L^2(\mathbb{Z}_{N})\) be a filters, i.e., a translation-invariant linear operator.
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Correspondence - Apodization and windowing eigenfunctions
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 2014Across a range of spectral estimation problems and beam focusing problems, it is necessary to constrain the properties of a function and its Fourier transform. In many cases, compact functions in both domains are desired, within the theoretical bounds of the uncertainty principle.
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ON EXPANSIONS IN EIGENFUNCTIONS (VIII) [PDF]
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