Math 2.0

statement proposition

Derivative of the inverse function

Statement

Let V,W⊆RnV, W \subseteq \mathbb{R}^n be open, and let f ⁣:V→Wf \colon V \to W be a bijection. Suppose that ff is differentiable at a∈Va \in V and that f−1f^{-1} is differentiable at b=f(a)b = f(a). Then Df(a)Df(a) is invertible, and D(f−1)(b)=(Df(a))−1.D(f^{-1})(b) = \big( Df(a) \big)^{-1}. In terms of Jacobian matrices, Jf−1(b)=Jf(a)−1J_{f^{-1}}(b) = J_f(a)^{-1}.

Remarks

Proof: apply the chain rule to f−1∘f=idVf^{-1} \circ f = \mathrm{id}_V and f∘f−1=idWf \circ f^{-1} = \mathrm{id}_W. This gives D(f−1)(b) Df(a)=ID(f^{-1})(b) \, Df(a) = I and Df(a) D(f−1)(b)=IDf(a) \, D(f^{-1})(b) = I. The hard part is the differentiability of f−1f^{-1}. The inverse function theorem gives it when ff is of class C1C^1 and Df(a)Df(a) is invertible. For polar coordinates f(r,θ)=(rcos⁡θ,rsin⁡θ)f(r, \theta) = (r \cos \theta, r \sin \theta) with r>0r > 0, Jf=(cos⁡θ−rsin⁡θsin⁡θrcos⁡θ)J_f = \begin{pmatrix} \cos \theta & -r \sin \theta \\ \sin \theta & r \cos \theta \end{pmatrix}, and the Jacobian matrix of a local inverse is the inverse of this matrix.

Explanations

L1 human

Undoing a map undoes its linear approximation. So the derivative of the inverse is the inverse matrix of the derivative, taken at the matching point.

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Sources

  1. Web https://en.wikipedia.org/wiki/Inverse_function_theorem, Several variables