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  2. Eigenfunction - Wikipedia

    en.wikipedia.org/wiki/Eigenfunction

    This solution of the vibrating drum problem is, at any point in time, an eigenfunction of the Laplace operator on a disk.. In mathematics, an eigenfunction of a linear operator D defined on some function space is any non-zero function in that space that, when acted upon by D, is only multiplied by some scaling factor called an eigenvalue.

  3. Eigenvalues and eigenvectors - Wikipedia

    en.wikipedia.org/wiki/Eigenvalues_and_eigenvectors

    In this case the eigenfunction is itself a function of its associated eigenvalue. In particular, for λ = 0 the eigenfunction f ( t ) is a constant. The main eigenfunction article gives other examples.

  4. Eigenvalues and eigenvectors of the second derivative

    en.wikipedia.org/wiki/Eigenvalues_and...

    Note that there are 2n + 1 of these values, but only the first n + 1 are unique. The (n + 1)th value gives us the zero vector as an eigenvector with eigenvalue 0, which is trivial. This can be seen by returning to the original recurrence. So we consider only the first n of these values to be the n eigenvalues of the Dirichlet - Neumann problem.

  5. Position operator - Wikipedia

    en.wikipedia.org/wiki/Position_operator

    We write the eigenvalue equation in position coordinates, ^ = = recalling that ^ simply multiplies the wave-functions by the function , in the position representation. Since the function x {\displaystyle \mathrm {x} } is variable while x 0 {\displaystyle x_{0}} is a constant, ψ {\displaystyle \psi } must be zero everywhere except at the point ...

  6. Eigenvalue algorithm - Wikipedia

    en.wikipedia.org/wiki/Eigenvalue_algorithm

    where det is the determinant function, the λ i are all the distinct eigenvalues of A and the α i are the corresponding algebraic multiplicities. The function p A (z) is the characteristic polynomial of A. So the algebraic multiplicity is the multiplicity of the eigenvalue as a zero of the characteristic polynomial. Since any eigenvector is ...

  7. Rayleigh theorem for eigenvalues - Wikipedia

    en.wikipedia.org/wiki/Rayleigh_theorem_for...

    Let the same eigenvalue equation be solved using a basis set of dimension N + 1 that comprises the previous N functions plus an additional one. Let the resulting eigenvalues be ordered from the smallest, λ ′ 1, to the largest, λ ′ N+1. Then, the Rayleigh theorem for eigenvalues states that λ ′ i ≤ λ i for i = 1 to N.

  8. Hilbert–Schmidt theorem - Wikipedia

    en.wikipedia.org/wiki/Hilbert–Schmidt_theorem

    Let (H, , ) be a real or complex Hilbert space and let A : H → H be a bounded, compact, self-adjoint operator.Then there is a sequence of non-zero real eigenvalues λ i, i = 1, …, N, with N equal to the rank of A, such that |λ i | is monotonically non-increasing and, if N = +∞, + =

  9. Eigenform - Wikipedia

    en.wikipedia.org/wiki/Eigenform

    As the function f is also an eigenvector under each Hecke operator T i, it has a corresponding eigenvalue. More specifically a i, i ≥ 1 turns out to be the eigenvalue of f corresponding to the Hecke operator T i. In the case when f is not a cusp form, the eigenvalues can be given explicitly. [1]