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  2. Polar set - Wikipedia

    en.wikipedia.org/wiki/Polar_set

    The real polar of a subset of is the set: := { : ⁡ , } and the real prepolar of a subset of is the set: := { : ⁡ , }.. As with the absolute prepolar, the real prepolar is usually called the real polar and is also denoted by . [2] It's important to note that some authors (e.g. [Schaefer 1999]) define "polar" to mean "real polar" (rather than "absolute polar", as is done in this article) and ...

  3. Polar decomposition - Wikipedia

    en.wikipedia.org/wiki/Polar_decomposition

    In mathematics, the polar decomposition of a square real or complex matrix is a factorization of the form =, where is a unitary matrix and is a positive semi-definite Hermitian matrix (is an orthogonal matrix and is a positive semi-definite symmetric matrix in the real case), both square and of the same size.

  4. Polar factorization theorem - Wikipedia

    en.wikipedia.org/wiki/Polar_factorization_theorem

    In optimal transport, a branch of mathematics, polar factorization of vector fields is a basic result due to Brenier (1987), [1] with antecedents of Knott-Smith (1984) [2] and Rachev (1985), [3] that generalizes many existing results among which are the polar decomposition of real matrices, and the rearrangement of real-valued functions.

  5. Polarization identity - Wikipedia

    en.wikipedia.org/wiki/Polarization_identity

    Vectors involved in the polarization identity ‖ ‖ + ‖ ‖ = ‖ + ‖ + ‖ ‖.. In linear algebra, a branch of mathematics, the polarization identity is any one of a family of formulas that express the inner product of two vectors in terms of the norm of a normed vector space.

  6. Circular distribution - Wikipedia

    en.wikipedia.org/wiki/Circular_distribution

    In probability and statistics, a circular distribution or polar distribution is a probability distribution of a random variable whose values are angles, usually taken to be in the range [0, 2π). [1] A circular distribution is often a continuous probability distribution , and hence has a probability density , but such distributions can also be ...

  7. Rotation matrix - Wikipedia

    en.wikipedia.org/wiki/Rotation_matrix

    For that, the tool we want is the polar decomposition (Fan & Hoffman 1955; Higham 1989). To measure closeness, we may use any matrix norm invariant under orthogonal transformations. A convenient choice is the Frobenius norm, ‖ Q − M ‖ F, squared, which is the sum of the squares of the element differences.

  8. Dual cone and polar cone - Wikipedia

    en.wikipedia.org/wiki/Dual_cone_and_polar_cone

    A set C and its dual cone C *. A set C and its polar cone C o.The dual cone and the polar cone are symmetric to each other with respect to the origin. Dual cone and polar cone are closely related concepts in convex analysis, a branch of mathematics.

  9. Polar set (potential theory) - Wikipedia

    en.wikipedia.org/wiki/Polar_set_(potential_theory)

    The most important properties of polar sets are: A singleton set in is polar. A countable set in is polar. The union of a countable collection of polar sets is polar. A polar set has Lebesgue measure zero in .