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  2. 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 : ′ = ′ = ′ (()).

  3. Inverse function - Wikipedia

    en.wikipedia.org/wiki/Inverse_function

    Sometimes, the inverse of a function cannot be expressed by a closed-form formula. For example, if f is the function = ⁡, then f is a bijection, and therefore possesses an inverse function f −1. The formula for this inverse has an expression as an infinite sum:

  4. Inverse function rule - Wikipedia

    en.wikipedia.org/wiki/Inverse_function_rule

    In calculus, the inverse function rule is a formula that expresses the derivative of the inverse of a bijective and differentiable function f in terms of the derivative of f. More precisely, if the inverse of f {\displaystyle f} is denoted as f − 1 {\displaystyle f^{-1}} , where f − 1 ( y ) = x {\displaystyle f^{-1}(y)=x} if and only if f ...

  5. Integral of inverse functions - Wikipedia

    en.wikipedia.org/wiki/Integral_of_inverse_functions

    The above theorem generalizes in the obvious way to holomorphic functions: Let and be two open and simply connected sets of , and assume that : is a biholomorphism. Then f {\displaystyle f} and f − 1 {\displaystyle f^{-1}} have antiderivatives, and if F {\displaystyle F} is an antiderivative of f {\displaystyle f} , the general antiderivative ...

  6. Lagrange inversion theorem - Wikipedia

    en.wikipedia.org/wiki/Lagrange_inversion_theorem

    If the assertions about analyticity are omitted, the formula is also valid for formal power series and can be generalized in various ways: It can be formulated for functions of several variables; it can be extended to provide a ready formula for F(g(z)) for any analytic function F; and it can be generalized to the case ′ =, where the inverse ...

  7. Nash–Moser theorem - Wikipedia

    en.wikipedia.org/wiki/Nash–Moser_theorem

    The theorem is widely used to prove local existence for non-linear partial differential equations in spaces of smooth functions. It is particularly useful when the inverse to the derivative "loses" derivatives, and therefore the Banach space implicit function theorem cannot be used.

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  9. Symbolic integration - Wikipedia

    en.wikipedia.org/wiki/Symbolic_integration

    A procedure called the Risch algorithm exists that is capable of determining whether the integral of an elementary function (function built from a finite number of exponentials, logarithms, constants, and nth roots through composition and combinations using the four elementary operations) is elementary and returning it if it is. In its original ...