First let us remind ourselves of the statement of the AM–GM inequality:

Theorem:(AM–GM Inequality) For any sequence (xn) of N⩾ non-negative real numbers, we have \frac1N\sum_k x_k \geqslant \left(\prod_k x_k\right)^{\frac1N}It is well known that the sum operator ∑ can be generalised so that it operates on continuous functions rather than on discrete sequences. This generalisation is the integral operator ∫.

Likewise, we can generalise the product operator to operate on continuous functions. We begin with the following property of the discrete product: \log\prod_k A_k=\sum_k \log A_k (assuming that A_k>0). Using this we can define the

continuous product(also known as thegeometric integralaccording to Wikipedia) as follows: \prod_a^b f(x)\ dx := \exp\int_a^b\log f(x)\ dx.assuming that the integral converges. From these definitions we can seek to generalise the AM–GM inequality to continuous functions:

Proposition:(Continuous AM–GM Inequality) For any suitably well-behaved non-negative function f defined on [a,b] with a<b, we have: \frac1{b-a}\int_a^bf(x)\ dx \geqslant \left(\prod_a^b f(x)\ dx\right)^\frac1{b-a} or in traditional notation: \frac1{b-a}\int_a^bf(x)\ dx \geqslant \exp\left(\frac1{b-a} \int_a^b \log f(x)\ dx\right)As a simple illustration, consider the function f(x)=1+\sin x and fix the lower bound a=0. On the following graph the x-axis represents the upper bound of integration b, and on the y-axis are represented the the arithmetic mean (blue) and the geometric mean (red) of f on the interval [a,b] where a=0 and b=x.

Clearly the claimed inequality seems to hold, and is in fact quite tight when b\approx0.

This inequality is of interest not least because it is readily abe to produce a number of non-trivial numerical inequalities pertaining to known constants. For instance, again with the example f(x)=1+\sin x, set b=\pi/2. Then assuming the proposition holds, we have

\frac{2}{\pi}\int_0^{\pi/2} 1 + \sin x\ dx \geqslant \exp \left( \frac{2}{\pi} \int_0^{\pi/2} \log(1+\sin x)\ dx \right) Evaluating these integrals and rearranging, we obtain: G \leqslant \frac\pi4\log\left(2+\frac2\pi\right) \approx 0.9313 where G\approx 0.9159 is Catalan's constant.

Anyway I would like to ask, firstly:

Is the claimed inequality true, and if so what is the proof and on what class of functions is it applicable?

Secondly, and this is more of a fun little challenge:

Assuming its veracity, can this inequality be used to prove remarkable numerical inequalities, e.g. \pi < 22/7 or e^\pi - \pi < 20?

**Answer**

I would write this inequality as

\frac1{b-a}\int_a^b\exp(g(x))\,dx\ge\exp\left(\frac1{b-a}\int_a^b g(x)\,dx\right).

In disguise it is the case of Jensen's inequality for the convex function \phi(t)=\exp(t).

**Attribution***Source : Link , Question Author : user1892304 , Answer Author : Nicky Hekster*