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  2. Spectral theory - Wikipedia

    en.wikipedia.org/wiki/Spectral_theory

    In mathematics, spectral theory is an inclusive term for theories extending the eigenvector and eigenvalue theory of a single square matrix to a much broader theory of the structure of operators in a variety of mathematical spaces. [1]

  3. Spectrum (functional analysis) - Wikipedia

    en.wikipedia.org/wiki/Spectrum_(functional_analysis)

    This conclusion is also true for a more general class of operators. A unitary operator is normal. By the spectral theorem, a bounded operator on a Hilbert space H is normal if and only if it is equivalent (after identification of H with an space) to a multiplication operator. It can be shown that the approximate point spectrum of a bounded ...

  4. Spectral geometry - Wikipedia

    en.wikipedia.org/wiki/Spectral_geometry

    Spectral geometry is a field in mathematics which concerns relationships between geometric structures of manifolds and spectra of canonically defined differential operators. The case of the Laplace–Beltrami operator on a closed Riemannian manifold has been most intensively studied, although other Laplace operators in differential geometry ...

  5. Spectrum - Wikipedia

    en.wikipedia.org/wiki/Spectrum

    [2] [3] Soon the term referred to a plot of light intensity or power as a function of frequency or wavelength, also known as a spectral density plot. Later it expanded to apply to other waves, such as sound waves and sea waves that could also be measured as a function of frequency (e.g., noise spectrum, sea wave spectrum).

  6. Discrete spectrum (mathematics) - Wikipedia

    en.wikipedia.org/wiki/Discrete_spectrum...

    In mathematics, specifically in spectral theory, a discrete spectrum of a closed linear operator is defined as the set of isolated points of its spectrum such that the rank of the corresponding Riesz projector is finite.

  7. Spectral method - Wikipedia

    en.wikipedia.org/wiki/Spectral_method

    Spectral methods and finite-element methods are closely related and built on the same ideas; the main difference between them is that spectral methods use basis functions that are generally nonzero over the whole domain, while finite element methods use basis functions that are nonzero only on small subdomains (compact support).

  8. Spectral space - Wikipedia

    en.wikipedia.org/wiki/Spectral_space

    An arbitrary intersection of compact and open subsets of X (hence of elements from K (X)) is again spectral. X is T 0 by definition, but in general not T 1. [1] In fact a spectral space is T 1 if and only if it is Hausdorff (or T 2) if and only if it is a boolean space if and only if K (X) is a boolean algebra.

  9. Decomposition of spectrum (functional analysis) - Wikipedia

    en.wikipedia.org/wiki/Decomposition_of_spectrum...

    This decomposition is relevant to the study of differential equations, and has applications to many branches of science and engineering. A well-known example from quantum mechanics is the explanation for the discrete spectral lines and the continuous band in the light emitted by excited atoms of hydrogen.

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