Inverse of Convex Strictly Monotone Function

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Theorem

Let $f$ be a real function which is convex on the open interval $I$.

Let $J = f \left({I}\right)$.

Then:


Corollary

Let $f$ be a real function which is concave on the open interval $I$.

Let $J = f \left({I}\right)$.

Then:


Proof

Let $X = f \left({x}\right) \in J, Y = f \left({y}\right) \in J$.

From the definition of convex:

$\forall \alpha, \beta \in \R: \alpha > 0, \beta > 0, \alpha + \beta = 1: f \left({\alpha x + \beta y}\right) \le \alpha f \left({x}\right) + \beta f \left({y}\right)$


Thus:

$\alpha f^{-1} \left({X}\right) + \beta f^{-1} \left({Y}\right) = \alpha x + \beta y \le f^{-1} \left({\alpha X + \beta Y}\right)$

Hence $f^{-1}$ is concave on $J$.


Thus:

$\alpha f^{-1} \left({X}\right) + \beta f^{-1} \left({Y}\right) = \alpha x + \beta y \ge f^{-1} \left({\alpha X + \beta Y}\right)$

Hence $f^{-1}$ is convex on $J$.

$\blacksquare$


Proof of Corollary

The nature of the inverses of strictly monotone concave functions follow directly from the above.

$\blacksquare$


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