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  2. Positive operator - Wikipedia

    en.wikipedia.org/wiki/Positive_operator

    The operator is said to be positive-definite, and written >, if , >, for all ⁡ {}. [ 1 ] Many authors define a positive operator A {\displaystyle A} to be a self-adjoint (or at least symmetric) non-negative operator.

  3. Normal operator - Wikipedia

    en.wikipedia.org/wiki/Normal_operator

    Normal operators are important because the spectral theorem holds for them. The class of normal operators is well understood. Examples of normal operators are unitary operators: N* = N −1; Hermitian operators (i.e., self-adjoint operators): N* = N; skew-Hermitian operators: N* = −N; positive operators: N = MM* for some M (so N is self-adjoint).

  4. State (functional analysis) - Wikipedia

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

    In functional analysis, a state of an operator system is a positive linear functional of norm 1. States in functional analysis generalize the notion of density matrices in quantum mechanics, which represent quantum states, both mixed states and pure states. Density matrices in turn generalize state vectors, which only represent pure states.

  5. Positive-definite function - Wikipedia

    en.wikipedia.org/wiki/Positive-definite_function

    Positive-definiteness arises naturally in the theory of the Fourier transform; it can be seen directly that to be positive-definite it is sufficient for f to be the Fourier transform of a function g on the real line with g(y) ≥ 0.

  6. Operator (physics) - Wikipedia

    en.wikipedia.org/wiki/Operator_(physics)

    A further property of a Hermitian operator is that eigenfunctions corresponding to different eigenvalues are orthogonal. [1] In matrix form, operators allow real eigenvalues to be found, corresponding to measurements. Orthogonality allows a suitable basis set of vectors to represent the state of the quantum system.

  7. Loewner order - Wikipedia

    en.wikipedia.org/wiki/Loewner_order

    Let A and B be two Hermitian matrices of order n. We say that A ≥ B if A − B is positive semi-definite. Similarly, we say that A > B if A − B is positive definite. Although it is commonly discussed on matrices (as a finite-dimensional case), the Loewner order is also well-defined on operators (an infinite-dimensional case) in the ...

  8. Operator theory - Wikipedia

    en.wikipedia.org/wiki/Operator_theory

    In mathematics, operator theory is the study of linear operators on function spaces, beginning with differential operators and integral operators. The operators may be presented abstractly by their characteristics, such as bounded linear operators or closed operators , and consideration may be given to nonlinear operators .

  9. Positive form - Wikipedia

    en.wikipedia.org/wiki/Positive_form

    A form is called strongly positive if it is a linear combination of products of semi-positive forms, with positive real coefficients. A real (p, p) -form η {\displaystyle \eta } on an n -dimensional complex manifold M is called weakly positive if for all strongly positive (n-p, n-p) -forms ζ with compact support, we have ∫ M η ∧ ζ ≥ 0 ...