Derivative of Inverse Function
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Theorem
Let $I = \closedint a b$ and $J = \closedint c d$ be closed real intervals.
Let $I^o = \openint a b$ and $J^o = \openint c d$ be the corresponding open real intervals.
Let $f: I \to J$ be a real function which is continuous on $I$ and differentiable on $I^o$ such that $J = f \sqbrk I$.
Let either:
- $\forall x \in I^o: D \map f x > 0$
or:
- $\forall x \in I^o: D \map f x < 0$
Then:
- $f^{-1}: J \to I$ exists and is continuous on $J$
- $f^{-1}$ is differentiable on $J^o$
- $\forall y \in J^o: D \map {f^{-1} } y = \dfrac 1 {D \map f x}$
Proof
From Derivative of Monotone Function, it follows that $f$ is either:
- strictly increasing on $I$ (if $\forall x \in I^o: D \, \map f x > 0$)
or:
- strictly decreasing on $I$ (if $\forall x \in I^o: D \, \map f x < 0$).
Therefore from Inverse of Strictly Monotone Function it follows that $f^{-1}: J \to I$ exists.
As $f$ is continuous, from Image of Interval by Continuous Function is Interval it follows that $J$ is an interval.
By the Corollary to Limit of Increasing Function and the Corollary to Limit of Decreasing Function, $f^{-1}: J \to I$ is continuous.
Next its derivative is to be considered.
Suppose $f$ is strictly increasing.
Let $y \in J^o$.
Then $\map {f^{-1} } y \in I^o$.
Let $k = \map {f^{-1} } {y + h} - \map {f^{-1} } y$.
Thus:
- $\map {f^{-1} } {y + h} = \map {f^{-1} } y + k = x + k$
Thus:
- $y + h = \map f {x + k}$
and hence:
- $h = \map f {x + k} - y = \map f {x + k} - \map f x$
Since $f^{-1}$ is continuous on $J$, it follows that $k \to 0$ as $h \to 0$.
Also, $f^{-1}$ is strictly increasing from Inverse of Strictly Monotone Function and so $k \ne 0$ unless $h = 0$.
So by Limit of Composite Function we get:
- $\dfrac {\map {f^{-1} } {y + h} - \map {f^{-1} } y} h = \dfrac k {\map f {x + k} - \map f x}$
Thus:
- $\dfrac {\map {f^{-1} } {y + h} - \map {f^{-1} } y} h \to \dfrac 1 {D \map f x}$
as $h \to 0$.
Suppose $f$ is strictly decreasing.
Exactly the same argument applies.
$\blacksquare$
Also presented as
When Leibniz's notation for derivatives $\paren {\dfrac {\d y} {\d x} }$ is being used, Derivative of Inverse Function is usually seen presented as:
- $\dfrac {\d x} {\d y} = \dfrac 1 {\frac {\d y} {\d x} }$
or:
- $\dfrac {\d x} {\d y} = \dfrac 1 {\d y / \d x}$
where:
- $\dfrac {\d x} {\d y}$ is the derivative of $x$ with respect to $y$
- $\dfrac {\d y} {\d x}$ is the derivative of $y$ with respect to $x$.
This must not be interpreted to mean that derivative can be treated as fractions; it is simply a convenient notation.
Sources
- 1964: Milton Abramowitz and Irene A. Stegun: Handbook of Mathematical Functions ... (previous) ... (next): $3$: Elementary Analytic Methods: $3.3$ Rules for Differentiation and Integration: Leibniz's Theorem for Differentiation of a Product: $3.3.9$
- 1968: Murray R. Spiegel: Mathematical Handbook of Formulas and Tables ... (previous) ... (next): $\S 13$: General Rules of Differentiation: $13.12$
- 1976: K. Weltner and W.J. Weber: Mathematics for Engineers and Scientists ... (previous) ... (next): $5$. Differential Calculus: Appendix: Differentiation Rules: $6.$ Inverse functions
- 1977: K.G. Binmore: Mathematical Analysis: A Straightforward Approach ... (previous) ... (next): $\S 10.15 \ (5)$
- 1977: K.G. Binmore: Mathematical Analysis: A Straightforward Approach ... (previous) ... (next): $\S 12.10$
- 2014: Christopher Clapham and James Nicholson: The Concise Oxford Dictionary of Mathematics (5th ed.) ... (previous) ... (next): inverse function