Next:Entropy
of Order andUp:Characterizations
of Generalized Entropies
Previous:Entropy
of Degree Go to:Table
of Contents
Entropy of Kind t
To obtain an entropy of kind t, Arimoto (1971) [3]
used a different approach. Let
be a real valued scalar function defined and nonnegative on (0,1] with
a continuous derivative on (0,1] and .
For all,
let us define
|
|
|
(3.19) |
where the inf. is taken over all probability distributions such
that , .
The function
given by (3.19) satisfy some interesting properties (ref. Arimoto, 1971)
[3]. These are summarized in the following
property.
Property 3.24. We have
-
(i)
is a continuous and symmetric function with respect to its arguments .
-
(ii) .
-
(iii)
is a concave function with respect to
in .
-
(iv) .
-
(v) If
is convex, then
-
(vi) In general
-
(vii) If
on (0,1), then (a)
(b)
-
(viii) If
is convex with
on (0,1], then
where .
Let
then from (3.19), one has
The function
is the entropy of kind .
It arises as a particular case of (3.19). Some other examples of (3.19)
can be seen in Arimoto (1971) [3]. Boeeke
et al. (1980) [16] studied extensively the
entropy of kind
by naming norm,
considering .
Some properties due to Behara and Chawla (1974) [9]
are also worth emphasizing. Following Rényi's approach, the measure
can be characterized. It is not specified here, because the next section
cover it as a particular case.
21-06-2001
Inder Jeet Taneja
Departamento de Matemática - UFSC
88.040-900 Florianópolis, SC - Brazil