In mathematics, the inverse of a function
is a function that, in some fashion, "undoes" the effect of
. The inverse of
is denoted as
, where
if and only if
.
Their two derivatives, assuming they exist, are reciprocal, as the Leibniz notation suggests; that is:

This relation is obtained by differentiating the equation
in terms of
and applying the chain rule, yielding that:

considering that the derivative of
with respect to
is 1.
Writing explicitly the dependence of
on
, and the point at which the differentiation takes place, the formula for the derivative of the inverse becomes (in Lagrange's notation):
.
This formula holds in general whenever
is continuous and injective on an interval
, with
being differentiable at
(
) and where
. The same formula is also equivalent to the expression
![{\displaystyle {\mathcal {D}}\left[f^{-1}\right]={\frac {1}{({\mathcal {D}}f)\circ \left(f^{-1}\right)}},}](https://wikimedia.org/api/rest_v1/media/math/render/svg/b71cf74aa5480ff9d43a9823ceb5580914f923a5)
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.
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.
Examples
(for positive x) 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 x) has inverse
(for positive
)


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