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Let f be a function with a positive second derivative.
Such a function is called
``convex" and satisfies the inequality
| ![\begin{displaymath}
{f(a)\ +\ f(b)\over 2}\ -\ f\left( {a + b\over 2}\right)\quad \geq \quad 0\end{displaymath}](img1.gif) |
(1) |
Equation (1) relates a function of an average to
an average of the function.
The average can be weighted, for example,
| ![\begin{displaymath}
{ \frac{1}{3} \, f(a)\ +\
\frac{2}{3} \, f(b)}\ -\ f\left( {
\frac{1}{3} a +
\frac{2}{3} b}\right)
\quad \geq \quad 0\end{displaymath}](img2.gif) |
(2) |
Figure 1 is a graphical interpretation
of equation (2)
for the function f=x2.
jen
Figure 1
Sketch of y=x2 for interpreting
equation ((2)).
|
| ![jen](../Gif/jen.gif) |
There is nothing special about f=x2,
except that it is convex.
Given three numbers a, b, and c,
the inequality (2) can first be applied to a and b,
and then to c and the average of a and b.
Thus, recursively,
an inequality like (2)
can be built for a weighted average of three or more numbers.
Define weights
that are normalized
(
).
The general result is
| ![\begin{displaymath}
S(p_j) \eq \sum_{j=1}^N w_j f(p_j)\ -\ f\left(
\sum_{j=1}^N w_j p_j \right) \quad \geq \quad 0\end{displaymath}](img5.gif) |
(3) |
If all the pj are the same,
then both of the two terms in S are the same,
and S vanishes.
Hence, minimizing S is like urging all the pj to be identical.
Equilibrium is when S is reduced
to the smallest possible value
which satisfies any constraints that may be applicable.
The function S defined by (3)
is like the
entropy
defined in
thermodynamics.
Next: Examples of Jensen inequalities
Up: Entropy and Jensen inequality
Previous: Entropy and Jensen inequality
Stanford Exploration Project
10/21/1998