Inverse Function Theorem (one variable)

A differentiable strictly monotone function has a differentiable inverse with derivative 1/f'
Inverse Function Theorem (one variable)

Inverse Function Theorem (one variable): Let IRI\subseteq\mathbb{R} be an and let f:IRf:I\to\mathbb{R} be and strictly . Then ff is a from II onto J=f(I)J=f(I), so the f1:JIf^{-1}:J\to I exists and is continuous.

If moreover x0Ix_0\in I^\circ and ff is at x0x_0 with f(x0)0f'(x_0)\neq 0, then f1f^{-1} is differentiable at y0=f(x0)y_0=f(x_0) and (f1)(y0)=1f(x0). (f^{-1})'(y_0)=\frac{1}{f'(x_0)}. In particular, if fC1(I)f\in C^1(I^\circ) and f(x)0f'(x)\neq 0 for all xIx\in I^\circ, then f1C1(J)f^{-1}\in C^1(J^\circ) and (f1)(y)=1f(f1(y))(yJ). (f^{-1})'(y)=\frac{1}{f'(f^{-1}(y))}\qquad (y\in J^\circ).

This result explains why nonvanishing is the correct “local invertibility” condition in one dimension and provides the derivative formula for inverse functions used throughout calculus.

Proof sketch: Strict monotonicity gives existence and continuity of the inverse. For the derivative, write for yy0y\neq y_0 f1(y)f1(y0)yy0=xx0f(x)f(x0) \frac{f^{-1}(y)-f^{-1}(y_0)}{y-y_0}=\frac{x-x_0}{f(x)-f(x_0)} with x=f1(y)x=f^{-1}(y). As yy0y\to y_0, we have xx0x\to x_0, and the right-hand side tends to 1/f(x0)1/f'(x_0) by the definition of the derivative of ff at x0x_0.