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  2. Eigenvalue perturbation - Wikipedia

    en.wikipedia.org/wiki/Eigenvalue_perturbation

    In mathematics, an eigenvalue perturbation problem is that of finding the eigenvectors and eigenvalues of a system = that is perturbed from one with known eigenvectors and eigenvalues =. This is useful for studying how sensitive the original system's eigenvectors and eigenvalues x 0 i , λ 0 i , i = 1 , … n {\displaystyle x_{0i},\lambda _{0i ...

  3. Weyl's inequality - Wikipedia

    en.wikipedia.org/wiki/Weyl's_inequality

    Therefore, Weyl's eigenvalue perturbation inequality for Hermitian matrices extends naturally to perturbation of singular values. [1] This result gives the bound for the perturbation in the singular values of a matrix M {\displaystyle M} due to an additive perturbation Δ {\displaystyle \Delta } :

  4. Narrow escape problem - Wikipedia

    en.wikipedia.org/wiki/Narrow_Escape_Problem

    The narrow escape problem [1] [2] is a ubiquitous problem in biology, biophysics and cellular biology. The mathematical formulation is the following: a Brownian particle ( ion , molecule , or protein ) is confined to a bounded domain (a compartment or a cell) by a reflecting boundary, except for a small window through which it can escape.

  5. Eigenvalues and eigenvectors - Wikipedia

    en.wikipedia.org/wiki/Eigenvalues_and_eigenvectors

    Eigenvalue problems occur naturally in the vibration analysis of mechanical structures with many degrees of freedom. The eigenvalues are the natural frequencies (or eigenfrequencies) of vibration, and the eigenvectors are the shapes of these vibrational modes.

  6. Stability theory - Wikipedia

    en.wikipedia.org/wiki/Stability_theory

    If there exists an eigenvalue λ of A with Re(λ) > 0 then the solution is unstable for t → ∞. Application of this result in practice, in order to decide the stability of the origin for a linear system, is facilitated by the Routh–Hurwitz stability criterion. The eigenvalues of a matrix are the roots of its characteristic polynomial.

  7. Eigendecomposition of a matrix - Wikipedia

    en.wikipedia.org/wiki/Eigendecomposition_of_a_matrix

    A generalized eigenvalue problem (second sense) is the problem of finding a (nonzero) vector v that obeys = where A and B are matrices. If v obeys this equation, with some λ , then we call v the generalized eigenvector of A and B (in the second sense), and λ is called the generalized eigenvalue of A and B (in the second sense) which ...

  8. Per-Olov Löwdin - Wikipedia

    en.wikipedia.org/wiki/Per-Olov_Löwdin

    "Studies in perturbation theory. IX. connection between various approaches in the recent development – evaluation of upper bounds to energy eigenvalues in Schrödinger's perturbation theory". Journal of Mathematical Physics. 6 (8): 1341–1353. Bibcode:1965JMP.....6.1341L. doi: 10.1063/1.1704781. Löwdin, Per-Olov (1965). "Studies in ...

  9. Perturbation theory - Wikipedia

    en.wikipedia.org/wiki/Perturbation_theory

    In mathematics and applied mathematics, perturbation theory comprises methods for finding an approximate solution to a problem, by starting from the exact solution of a related, simpler problem. [ 1 ] [ 2 ] A critical feature of the technique is a middle step that breaks the problem into "solvable" and "perturbative" parts. [ 3 ]