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  2. Jacobi's formula - Wikipedia

    en.wikipedia.org/wiki/Jacobi's_formula

    In matrix calculus, Jacobi's formula expresses the derivative of the determinant of a matrix A in terms of the adjugate of A and the derivative of A. [ 1 ] If A is a differentiable map from the real numbers to n × n matrices, then

  3. Jacobian matrix and determinant - Wikipedia

    en.wikipedia.org/wiki/Jacobian_matrix_and...

    [a] This means that the function that maps y to f(x) + J(x) ⋅ (y – x) is the best linear approximation of f(y) for all points y close to x. The linear map h → J(x) ⋅ h is known as the derivative or the differential of f at x. When m = n, the Jacobian matrix is square, so its determinant is a well-defined function of x, known as the ...

  4. Hamilton–Jacobi equation - Wikipedia

    en.wikipedia.org/wiki/Hamilton–Jacobi_equation

    The Hamilton–Jacobi equation is a single, first-order partial differential equation for the function of the generalized coordinates,, …, and the time . The generalized momenta do not appear, except as derivatives of S {\displaystyle S} , the classical action .

  5. Classical orthogonal polynomials - Wikipedia

    en.wikipedia.org/wiki/Classical_orthogonal...

    W(x) gives a finite inner product to any polynomials. W(x) can be made to be greater than 0 in the interval. (Negate the entire differential equation if necessary so that Q(x) > 0 inside the interval.) Because of the constant of integration, the quantity R(x) is determined only up to an arbitrary positive multiplicative constant. It will be ...

  6. Jacobi polynomials - Wikipedia

    en.wikipedia.org/wiki/Jacobi_polynomials

    Plot of the Jacobi polynomial function (,) with = and = and = in the complex plane from to + with colors created with Mathematica 13.1 function ComplexPlot3D In mathematics , Jacobi polynomials (occasionally called hypergeometric polynomials ) P n ( α , β ) ( x ) {\displaystyle P_{n}^{(\alpha ,\beta )}(x)} are a class of classical orthogonal ...

  7. Vector calculus identities - Wikipedia

    en.wikipedia.org/wiki/Vector_calculus_identities

    In Cartesian coordinates, the divergence of a continuously differentiable vector field = + + is the scalar-valued function: ⁡ = = (, , ) (, , ) = + +.. As the name implies, the divergence is a (local) measure of the degree to which vectors in the field diverge.

  8. Jacobi method - Wikipedia

    en.wikipedia.org/wiki/Jacobi_method

    In numerical linear algebra, the Jacobi method (a.k.a. the Jacobi iteration method) is an iterative algorithm for determining the solutions of a strictly diagonally dominant system of linear equations. Each diagonal element is solved for, and an approximate value is plugged in.

  9. Schur polynomial - Wikipedia

    en.wikipedia.org/wiki/Schur_polynomial

    This is known as the bialternant formula of Jacobi. It is a special case of the Weyl character formula . This is a symmetric function because the numerator and denominator are both alternating, and a polynomial since all alternating polynomials are divisible by the Vandermonde determinant.