Math 2.0

statement theorem

Inverse function theorem

Statement

Let U⊆RnU \subseteq \mathbb{R}^n be open, let k≥1k \ge 1, and let f ⁣:U→Rnf \colon U \to \mathbb{R}^n be of class C^k on UU. Let a∈Ua \in U, and suppose that the derivative Df(a)Df(a) is invertible, that is, the Jacobian determinant of ff at aa is not zero. Then there are open sets V⊆UV \subseteq U with a∈Va \in V and W⊆RnW \subseteq \mathbb{R}^n with f(a)∈Wf(a) \in W such that ff restricted to VV is a bijection from VV onto WW. Its inverse f−1 ⁣:W→Vf^{-1} \colon W \to V is of class CkC^k, and D(f−1)(f(x))=Df(x)−1D(f^{-1})(f(x)) = Df(x)^{-1} for each x∈Vx \in V.

Remarks

The theorem is local. The map f(x,y)=(excos⁡y,exsin⁡y)f(x, y) = (e^x \cos y, e^x \sin y) has invertible derivative at each point of R2\mathbb{R}^2, but it is not injective, since f(x,y+2π)=f(x,y)f(x, y + 2\pi) = f(x, y). Continuity of the derivative matters. The function g(x)=x+2x2sin⁡(1/x)g(x) = x + 2 x^2 \sin(1/x), g(0)=0g(0) = 0, has g′(0)=1g'(0) = 1, but gg is not injective on any interval around 00. A standard proof applies the contraction mapping principle to x↦x+Df(a)−1(y−f(x))x \mapsto x + Df(a)^{-1}(y - f(x)) near aa. The formula for the derivative of the inverse is the derivative of the inverse function.

Explanations

L1 human

If the linear approximation of ff at aa is invertible, then ff itself is invertible near aa. So one can solve the system f(x)=yf(x) = y for xx when yy is close to f(a)f(a), and the solution depends smoothly on yy.

What this node needs for W2
  • edge about out: the concepts that the statement is about (0 of 1)
  • edge proves in: at least one proof node (0 of 1)
  • edge instance_of or illustrates in: one example that shows the statement at work (0 of 1)
  • explanation L2 (0 of 1)

The writing levels say how complete the text of a node is. They do not measure its truth.

What depends on this

16 nodes use this node, directly or through other nodes.

Sources

  1. Web https://en.wikipedia.org/wiki/Inverse_function_theorem, Several variables
  2. Web https://en.wikipedia.org/wiki/Inverse_function_theorem, A proof using the contraction mapping principle