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  2. Implicit function theorem - Wikipedia

    en.wikipedia.org/wiki/Implicit_function_theorem

    The implicit function theorem now states that we can locally express (, …,) as a function of (′, …, ′) if J is invertible. Demanding J is invertible is equivalent to det J ≠ 0, thus we see that we can go back from the primed to the unprimed coordinates if the determinant of the Jacobian J is non-zero.

  3. 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 : ′ = ′ = ′ (()).

  4. Implicit function - Wikipedia

    en.wikipedia.org/wiki/Implicit_function

    The implicit function theorem guarantees that the first-order conditions of the optimization define an implicit function for each element of the optimal vector x* of the choice vector x. When profit is being maximized, typically the resulting implicit functions are the labor demand function and the supply functions of various goods.

  5. Inverse function - Wikipedia

    en.wikipedia.org/wiki/Inverse_function

    The inverse function theorem can be generalized to functions of several variables. Specifically, a continuously differentiable multivariable function f : R n → R n is invertible in a neighborhood of a point p as long as the Jacobian matrix of f at p is invertible .

  6. 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.

  7. 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 ...

  8. Nash embedding theorems - Wikipedia

    en.wikipedia.org/wiki/Nash_embedding_theorems

    The Nash embedding theorem is a global theorem in the sense that the whole manifold is embedded into R n. A local embedding theorem is much simpler and can be proved using the implicit function theorem of advanced calculus in a coordinate neighborhood of the manifold. The proof of the global embedding theorem relies on Nash's implicit function ...

  9. List of theorems - Wikipedia

    en.wikipedia.org/wiki/List_of_theorems

    Helly's selection theorem (mathematical analysis) Implicit function theorem (vector calculus) Increment theorem (mathematical analysis) Intermediate value theorem ; Inverse function theorem (vector calculus) Kolmogorov–Arnold representation theorem (real analysis, approximation theory) Lebesgue differentiation theorem (real analysis)