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  2. Jacobian matrix and determinant - Wikipedia

    en.wikipedia.org/.../Jacobian_matrix_and_determinant

    The Jacobian determinant is sometimes simply referred to as "the Jacobian". The Jacobian determinant at a given point gives important information about the behavior of f near that point. For instance, the continuously differentiable function f is invertible near a point p ∈ R n if the Jacobian determinant at p is non-zero. This is the inverse ...

  3. 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

  4. Inverse function theorem - Wikipedia

    en.wikipedia.org/wiki/Inverse_function_theorem

    For functions of a single variable, the theorem states that if is a continuously differentiable function with nonzero derivative at the point ; then is injective (or bijective onto the image) in a neighborhood of , the inverse is continuously differentiable near = (), and the derivative of the inverse function at is the reciprocal of the derivative of at : ′ = ′ = ′ (()).

  5. Determinant - Wikipedia

    en.wikipedia.org/wiki/Determinant

    For example, the determinant of the complex conjugate of a complex matrix (which is also the determinant of its conjugate transpose) is the complex conjugate of its determinant, and for integer matrices: the reduction modulo of the determinant of such a matrix is equal to the determinant of the matrix reduced modulo (the latter determinant ...

  6. Jacobian conjecture - Wikipedia

    en.wikipedia.org/wiki/Jacobian_conjecture

    The obvious analogue of the Jacobian conjecture fails if k has characteristic p > 0 even for one variable. The characteristic of a field, if it is not zero, must be prime, so at least 2. The polynomial x − x p has derivative 1 − p x p−1 which is 1 (because px is 0) but it has no inverse function.

  7. Relative scalar - Wikipedia

    en.wikipedia.org/wiki/Relative_scalar

    that is, the determinant of the Jacobian of the transformation. [1] A scalar density refers to the w = 1 {\displaystyle w=1} case. Relative scalars are an important special case of the more general concept of a relative tensor .

  8. Transvectant - Wikipedia

    en.wikipedia.org/wiki/Transvectant

    The zeroth transvectant is the product of the n functions. ⁡ = The first transvectant is the Jacobian determinant of the n functions. ⁡ = [] The second transvectant is a constant times the completely polarized form of the Hessian of the n functions.

  9. Carl Gustav Jacob Jacobi - Wikipedia

    en.wikipedia.org/wiki/Carl_Gustav_Jacob_Jacobi

    In particular, he invented the Jacobian determinant formed from the n 2 partial derivatives of n given functions of n independent variables, which plays an important part in changes of variables in multiple integrals, and in many analytical investigations. [3]