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  2. Hermitian matrix - Wikipedia

    en.wikipedia.org/wiki/Hermitian_matrix

    Hermitian matrices are fundamental to quantum mechanics because they describe operators with necessarily real eigenvalues. An eigenvalue of an operator ^ on some quantum state | is one of the possible measurement outcomes of the operator, which requires the operators to have real eigenvalues.

  3. Self-adjoint operator - Wikipedia

    en.wikipedia.org/wiki/Self-adjoint_operator

    with the real eigenvalues n 2 π 2; the well-known orthogonality of the sine functions follows as a consequence of A being symmetric. The operator A can be seen to have a compact inverse, meaning that the corresponding differential equation Af = g is solved by some integral (and therefore compact) operator G.

  4. Eigenvalues and eigenvectors - Wikipedia

    en.wikipedia.org/wiki/Eigenvalues_and_eigenvectors

    At the start of the 20th century, David Hilbert studied the eigenvalues of integral operators by viewing the operators as infinite matrices. [16] He was the first to use the German word eigen , which means "own", [ 6 ] to denote eigenvalues and eigenvectors in 1904, [ c ] though he may have been following a related usage by Hermann von Helmholtz .

  5. Eigenfunction - Wikipedia

    en.wikipedia.org/wiki/Eigenfunction

    Consider the Hermitian operator D with eigenvalues λ 1, λ 2, … and corresponding eigenfunctions f 1 (t), f 2 (t), …. This Hermitian operator has the following properties: Its eigenvalues are real, λ i = λ i * [4] [6] Its eigenfunctions obey an orthogonality condition, , = if i ≠ j [6] [7] [8]

  6. Min-max theorem - Wikipedia

    en.wikipedia.org/wiki/Min-max_theorem

    In linear algebra and functional analysis, the min-max theorem, or variational theorem, or Courant–Fischer–Weyl min-max principle, is a result that gives a variational characterization of eigenvalues of compact Hermitian operators on Hilbert spaces. It can be viewed as the starting point of many results of similar nature.

  7. Spectral theorem - Wikipedia

    en.wikipedia.org/wiki/Spectral_theorem

    This condition implies that all eigenvalues of a Hermitian map are real: To see this, it is enough to apply it to the case when x = y is an eigenvector. (Recall that an eigenvector of a linear map A is a non-zero vector v such that A v = λv for some scalar λ. The value λ is the corresponding eigenvalue.

  8. Ladder operator - Wikipedia

    en.wikipedia.org/wiki/Ladder_operator

    The operator X is a raising operator for N if c is real and positive, and a lowering operator for N if c is real and negative. If N is a Hermitian operator, then c must be real, and the Hermitian adjoint of X obeys the commutation relation [, †] = †.

  9. Momentum operator - Wikipedia

    en.wikipedia.org/wiki/Momentum_operator

    The momentum operator can be described as a symmetric (i.e. Hermitian), unbounded operator acting on a dense subspace of the quantum state space. If the operator acts on a (normalizable) quantum state then the operator is self-adjoint. In physics the term Hermitian often refers to both symmetric and self-adjoint operators. [7] [8]