Inverse function rule
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Example for arbitrary :
Script error: No such module "sidebar". In calculus, the inverse function rule is a formula that expresses the derivative of the inverse of a bijective and differentiable function Template:Mvar in terms of the derivative of Template:Mvar. More precisely, if the inverse of is denoted as , where if and only if , then the inverse function rule is, in Lagrange's notation,
- .
This formula holds in general whenever is continuous and injective on an interval Template:Mvar, with being differentiable at () and where. The same formula is also equivalent to the expression
where denotes the unary derivative operator (on the space of functions) and denotes function composition.
Geometrically, a function and inverse function have graphs that are reflections, in the line . This reflection operation turns the gradient of any line into its reciprocal.[1]
Assuming that has an inverse in a neighbourhood of and that its derivative at that point is non-zero, its inverse is guaranteed to be differentiable at and have a derivative given by the above formula.
The inverse function rule may also be expressed in Leibniz's notation. As that notation suggests,
This relation is obtained by differentiating the equation in terms of Template:Mvar and applying the chain rule, yielding that:
considering that the derivative of Template:Mvar with respect to Template:Mvar is 1.
Derivation
Let be an invertible (bijective) function, let be in the domain of , and let Let So, Derivating this equation with respect to Template:Tmath, and using the chain rule, one gets
That is,
or
Examples
- (for positive Template:Mvar) has inverse .
At , however, there is a problem: the graph of the square root function becomes vertical, corresponding to a horizontal tangent for the square function.
- (for real Template:Mvar) has inverse (for positive )
Additional properties
- Integrating this relationship gives
- This is only useful if the integral exists. In particular we need to be non-zero across the range of integration.
- It follows that a function that has a continuous derivative has an inverse in a neighbourhood of every point where the derivative is non-zero. This need not be true if the derivative is not continuous.
- Another very interesting and useful property is the following:
- Where denotes the antiderivative of .
- The inverse of the derivative of f(x) is also of interest, as it is used in showing the convexity of the Legendre transform.
Let then we have, assuming :This can be shown using the previous notation . Then we have:
- Therefore:
By induction, we can generalize this result for any integer , with , the nth derivative of f(x), and , assuming :
Higher derivatives
The chain rule given above is obtained by differentiating the identity with respect to Template:Mvar. One can continue the same process for higher derivatives. Differentiating the identity twice with respect to Template:Mvar, one obtains
that is simplified further by the chain rule as
Replacing the first derivative, using the identity obtained earlier, we get
Similarly for the third derivative:
or using the formula for the second derivative,
These formulas are generalized by the Faà di Bruno's formula.
These formulas can also be written using Lagrange's notation. If Template:Mvar and Template:Mvar are inverses, then
Example
- has the inverse . Using the formula for the second derivative of the inverse function,
so that
- ,
which agrees with the direct calculation.
See also
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References
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