A few months back, I wrote a post about some elementary results concerning convex functions on the interval. One of these results was that a real-valued continuous function defined on an interval
is convex if and only if it is midpoint convex. I want to present another proof of this result, one which comes from Constantin Niculescu’s and Lars-Erik Persson’s text Convex Functions and Their Applications.
Proposition 1. Suppose
is continuous. Then
is convex if and only if
is midpoint convex.
Proof. Necessity is obvious. For sufficiency, suppose that is not convex; that is, there exist
and
such that
Define a function by
Note that is the sum of
and an affine function. I claim that
. Indeed,
Observe that and
is midpoint convex, since
Set . Since
is continuous,
, where the positivity implies that
. For any
such that
, we have that
and
, so by midpoint convexity of
,
,
which is a contradiction.
I claim that any function satisfying
,
for all and
such that
, is midpoint convex. Indeed, Fix
and set
. Then
,
so that
Thus, we obtain a corollary.
Corollary 2. A continuous function
is convex if and only if
,
for all
and
such that
.
In fact, for Proposition 1, we can relax the sufficiency condition to
for some fixed parameter . Indeed, it is easy to verify that
satisfies the same condition as
. I claim that there exist
, where without loss of generality,
, such that
Indeed,
and
So we can make an appropriate choice of satisfying
, which uniquely determines
. Then
and
so that
,
which is a contradiction.
We also can relax the hypothesis that is continuous to
is bounded from above on compact subintervals of
.
Pingback: Weighted Power Means | Math by Matt