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  2. Differentiable function - Wikipedia

    en.wikipedia.org/wiki/Differentiable_function

    A differentiable function is smooth (the function is locally well approximated as a linear function at each interior point) and does not contain any break, angle, or cusp. If x 0 is an interior point in the domain of a function f, then f is said to be differentiable at x 0 if the derivative ′ exists.

  3. Differential of a function - Wikipedia

    en.wikipedia.org/wiki/Differential_of_a_function

    If there exists an m × n matrix A such that = + ‖ ‖ in which the vector ε → 0 as Δx → 0, then f is by definition differentiable at the point x. The matrix A is sometimes known as the Jacobian matrix , and the linear transformation that associates to the increment Δ x ∈ R n the vector A Δ x ∈ R m is, in this general setting ...

  4. Derivative - Wikipedia

    en.wikipedia.org/wiki/Derivative

    A function of a real variable is differentiable at a point of its domain, if its domain contains an open interval containing ⁠ ⁠, and the limit = (+) exists. [2] This means that, for every positive real number ⁠ ⁠, there exists a positive real number such that, for every such that | | < and then (+) is defined, and | (+) | <, where the vertical bars denote the absolute value.

  5. Semi-differentiability - Wikipedia

    en.wikipedia.org/wiki/Semi-differentiability

    Let f denote a real-valued function defined on a subset I of the real numbers.. If a ∈ I is a limit point of I ∩ [a,∞) and the one-sided limit + ():= + () exists as a real number, then f is called right differentiable at a and the limit ∂ + f(a) is called the right derivative of f at a.

  6. Jacobian matrix and determinant - Wikipedia

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

    The Jacobian matrix represents the differential of f at every point where f is differentiable. In detail, if h is a displacement vector represented by a column matrix, the matrix product J(x) ⋅ h is another displacement vector, that is the best linear approximation of the change of f in a neighborhood of x, if f(x) is differentiable at x.

  7. Rolle's theorem - Wikipedia

    en.wikipedia.org/wiki/Rolle's_theorem

    the function f is n − 1 times continuously differentiable on the closed interval [a, b] and the n th derivative exists on the open interval (a, b), and; there are n intervals given by a 1 < b 1 ≤ a 2 < b 2 ≤ ⋯ ≤ a n < b n in [a, b] such that f (a k) = f (b k) for every k from 1 to n. Then there is a number c in (a, b) such that the n ...

  8. Fréchet derivative - Wikipedia

    en.wikipedia.org/wiki/Fréchet_derivative

    A function differentiable at a point is continuous at that point. Differentiation is a linear operation in the following sense: if and are two maps which are differentiable at , and is a scalar (a real or complex number), then the Fréchet derivative obeys the following properties: () = (+) = + ().

  9. Darboux's theorem (analysis) - Wikipedia

    en.wikipedia.org/wiki/Darboux's_theorem_(analysis)

    By Darboux's theorem, the derivative of any differentiable function is a Darboux function. In particular, the derivative of the function xx 2 sin ⁡ ( 1 / x ) {\displaystyle x\mapsto x^{2}\sin(1/x)} is a Darboux function even though it is not continuous at one point.