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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. 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 1p x p1 which is 1 (because px is 0) but it has no inverse function.

  4. Inverse function theorem - Wikipedia

    en.wikipedia.org/wiki/Inverse_function_theorem

    For functions of more than one variable, the theorem states that if is a continuously differentiable function from an open subset of into , and the derivative ′ is invertible at a point a (that is, the determinant of the Jacobian matrix of f at a is non-zero), then there exist neighborhoods of in and of = such that () and : is bijective. [1]

  5. Transvectant - Wikipedia

    en.wikipedia.org/wiki/Transvectant

    ⁡ = The first transvectant is the Jacobian determinant of the n functions. Tr ⁡ Ω 1 ( Q 1 ⊗ ⋯ ⊗ Q n ) = det [ ∂ k Q l ] {\displaystyle \operatorname {Tr} \Omega ^{1}(Q_{1}\otimes \cdots \otimes Q_{n})=\det {\begin{bmatrix}\partial _{k}Q_{l}\end{bmatrix}}} The second transvectant is a constant times the completely polarized form of ...

  6. Jacobi's formula - Wikipedia

    en.wikipedia.org/wiki/Jacobi's_formula

    Lemma 1. ′ =, where ′ is the differential of . This equation means that the differential of , evaluated at the identity matrix, is equal to the trace.The differential ′ is a linear operator that maps an n × n matrix to a real number.

  7. Determinant - Wikipedia

    en.wikipedia.org/wiki/Determinant

    One can restrict the computation to elementary matrices of determinant 1. In this case, the determinant of the resulting row echelon form equals the determinant of the initial matrix. As a row echelon form is a triangular matrix, its determinant is the product of the entries of its diagonal.

  8. Proofs related to chi-squared distribution - Wikipedia

    en.wikipedia.org/wiki/Proofs_related_to_chi...

    It can be seen that this surface is the surface of a k-dimensional ball or, alternatively, an n-sphere where n = k - 1 with radius =, and that the term in the exponent is simply expressed in terms of Q. Since it is a constant, it may be removed from inside the integral.

  9. 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 .