Statement of The Theorem
For functions of a single variable, the theorem states that if ƒ is a continuously differentiable function with nonzero derivative at the point a, then ƒ is invertible in a neighborhood of a, the inverse is continuously differentiable, and
where b = ƒ(a).
For functions of more than one variable, the theorem states that if the total derivative of a continuously differentiable function F defined from an open set U of Rn into Rn is invertible at a point p (i.e., the Jacobian determinant of F at p is non-zero), then F is an invertible function near p. That is, an inverse function to F exists in some neighborhood of F(p). Moreover, the inverse function is also continuously differentiable. In the infinite dimensional case it is required that the Fréchet derivative have a bounded inverse at p.
Finally, the theorem says that
where denotes matrix inverse and is the Jacobian matrix of the function G at the point q.
This formula can also be derived from the chain rule. The chain rule states that for functions G and H which have total derivatives at H(p) and p respectively,
Letting G be F -1 and H be F, is the identity function, whose Jacobian matrix is also the identity. In this special case, the formula above can be solved for . Note that the chain rule assumes the existence of total derivative of the inside function H, while the inverse function theorem proves that F -1 has a total derivative at p.
The existence of an inverse function to F is equivalent to saying that the system of n equations yi = Fj(x1,...,xn) can be solved for x1,...,xn in terms of y1,...,yn if we restrict x and y to small enough neighborhoods of p and F(p), respectively.
Read more about this topic: Inverse Function Theorem
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