eigenvalue and eigenfunction of fourier transform


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PDF On eigenfunctions of the Fourier transform

For fixed x ∈ D′ ∈ Rn consider the convolution g(a) ∗a f(a x) defined as (g(a) ∗a f(a x) ψ) = (g(a) × f(b x) ψ(a + b)) ∀ψ ∈ C∞ 0 (R) Then for fixed x) ∈ S′ and it is an eigenfunction in the sense of distribution of the Fourier transform

  • What is a sparse eigenvector for the n-dimensional discrete Fourier transform?

    A basis of sparse eigenvectors for the N-dimensional discrete Fourier transform is constructed and the sparsity differs from the optimal by at most a factor of four. An eigenfunction of the Fourier transform operator is a function whose shape is identical to that of its Fourier transform. The Gaussian curve, appropriately scaled, is an example.

  • How many eigenvalues does a Fourier transform have?

    I read today ( ref) that the Continuous Fourier Transform has four eigenvalues: +1, +i, -1, and -i. Associated with each eigenvalue is a space of eigenfunctions: functions which retain their form after undergoing the Fourier transform. Perhaps the best known example is the Gaussian: the Fourier transform of a Gaussian is again Gaussian.

  • What is an example of a space of eigenfunctions?

    Associated with each eigenvalue is a space of eigenfunctions: functions which retain their form after undergoing the Fourier transform. Perhaps the best known example is the Gaussian: the Fourier transform of a Gaussian is again Gaussian. A more general example is the Hermite-Gauss functions (Gaussian multiplied by Hermite polynomial).

  • Is = 4 an eigenvalue?

    We now know that for the homogeneous BVP given in (1) (1) λ = 4 λ = 4 is an eigenvalue (with eigenfunctions y(x) = c2sin(2x) y ( x) = c 2 sin ( 2 x)) and that λ = 3 λ = 3 is not an eigenvalue.

Fourier Series and Eigen Functions of LTI Systems

Fourier Series and Eigen Functions of LTI Systems

Quantum Chemistry 3.3

Quantum Chemistry 3.3

Introduction to the Fourier Transform (Part 1)

Introduction to the Fourier Transform (Part 1)

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