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Internat. J. Math. & Math Sci. VOL. 13 NO. 3 (1990) 417-424

417

WEIGHTED

ADDITIVE

INFORMATION MEASURES

WOLFGANG SANDER

Institute for Analysis

University of Braunschweig

Pockelsstr. 14, D 3300 Braunschweig, Germany

(Received January 26, 1989 and in revised form May 25, 1990)

ABSTRACT. We determine all measurable functions I,G,L:

[O,1]

satisfying the functional equation

n m n m n m

I(Piq

j)

--

----

G(Pi)I(qj)

+

---

L(qj)I(Pi)

i=I

9=I

i=1 j=l i=1

9=I

for P e

F

n,

Q e

F

m and for a fixed pair (n,m), n

>

3, m

>

3, where G(O) L(O) O and G(1) L(1)

I.

This functional equation has interesting applications in information theory.

KEY WORDS AND PHRASES. Weighted additive information measures of sum form type, entropies of degree (e,8).

1980 AMS SUBJECT CLASSIFICATION CODE. 39B30, 94A17.

INTRODUCTION.

k

Let F

k

{P

(pl,...,pk):

Pi

>

O,

---Pi

k

>

2. i=1

We say that an information measure I

k Fk R, k

>

2 is

(n,m)-weighted additive (n,m e q) if there exist weight functions

Gk,L

k Fk R k

>

2 such that

Inm(P.Q)

Gn(P)Im(Q

+

In(P)Lm(Q)

P e

F

Q e

F

n m (1.1)

where as usual P-Q

(plql

,piqj,...,pnqm)

e

Fnm.

If in addition

I

k,

Gk,

Lk have the sum property with generating functions
(2)

418 W. SANDER

k k k

I

k(P)

I(Pi

S

k(P)

S(Pi)

L

k(P)

---

L(Pi)

i=I i=I i=I

(I .2)

then equation (I .1) goes over into the functional equation

n m n m n m

P e

Fn

Q e F

m.

This functional equation (1.3) is of interest since the special cases

and

G(p) p L(p) p

+ II(p)

I

e I (1.4)

G(p) p L(p) p

e,8

e I (1.5)

play important roles in the characterization of the entropies of degree a (Losonczi,

[I)

f

a

Hk(a,1)

(p)

(21

a

1)-I

(Pi

Pi

a

#

a i=1

Ik(P)

k

Hk(P)

---

Pi

log

Pi

a

i=I

and degree (,8) (Sharma and Taneja,

[2])

k

(,6

I-

21-6)-I

B

H

k (P) (2

---

(Pi

Pi

8

(e,B) (p) i=I

Ik

k

2a-I

a

Hk(P)

Pi

log

Pi

e

8

i=1

respectively. Here we follow the conventions

log

log2

O.log O O and

oa

O a e I. (1.8)

The aim of this paper is to determine all measurable triples

(I,G,L) satisfying. (1.3) for a fixed pair (n,m), n

>

3, m

>

3 where because of the known results and the convention (I.8)

PeF

k (1.6)

PeF

k, (I .7)

we assume

G(O) L(O) O G(1) L(1)

I.

(1 .9)

Thus we determine not only all measurable functions I of (I

k)

(see (I .2)) but also all possible choices for G and L in (I .3). Therefore the results due to Kannappan

[3-5],

Losonczi

[1],

Sharma and Taneja

[2,6]

are special cases of our main result. Moreover, if we assume

that I is not constant and that G and L are continuous then we can

interpret our result in the form that, without loss of generality, we may assume that G and L in (I .3) are continuous, non zero multi-plicative functions, that is they are non zero continuous solutions

of the functional equation

M(p-q) M(p)-M(q) p,q e

[O,I]

(1.10)

2. MAIN RESULTS.

We make use of the following well known result (Kannappan,

[5]).

LEMMA 1. Let n 3 be a fixed integer and let F

[O,1]

(3)

WEIGHTED ADDITIVE INFORMATION MEASURES 419

n

---

F(Pi)

O i=I

for all P e

F

Then there exists a constant a such that

n

F(p) a(1 np) p e

[O,I]

Now we are ready to prove our main result which is an extension of the results, mentioned above.

THEOREM 2. Let I,G,L

[O,

lJ

R be measurable and let I be

non constant. Then I,G,L satisfy (1.9) and (1.3) for a fixed pair

(n,m), n 3, m 3 if, and only if they are of one of the following forms

I(p)

a(pA

pB)

G(p) (I b)pA

+

bpB L(p) bpA

+

(1 b)pB A B (2.1) I(p)

apAlog

p

G(p)

pA(I

+

blog p) L(p)

pA(1

blog p) A (2.2)

I(p) I(O)

+

(mn m n)I(O)p

+

dplog p, G(p) L(p) p, (2.3)

I(I) O G(1) L(1)

I(p) apA G(p) (1 b)pA L(p) bpA p e

[O,I)

(2.4)

I(p)

a#sin(clogp)

G(p)

pA[cos(clog

p)

+

bsin(clog

p)]

L(p)

pA[cos(clog

p) bsin(clog

p)]

(2.5) Here A,B,a,b,c,d are constants and we follow the conventions

O

a.cos(log

O) O O

a.

sin(log O) O a e

.

PROOF. Obviously, the solutions (I,G,L) given by (2.1) to

(2.5) satisfy (1.9) and (1.3) To prove the converse let us introduce the function

I’

[O,I]

R defined by

I’(p) I(p) I(O) (I(1) I(O))p p e

[O,1].

(2.6)

It is clear that

I’

fulfills

I’

(O)

I’

(1) O. (2.7)

We now show that the triple (I’,G,L) also satisfies (1.3). To see

this let us put P (1,O,O,...,O) e

F

and Q (1,O,O,...,O) e F

n m

into (1.3) Using (1.9) we arrive at

I(I)

+

(nm- 1)I(O) I(I)

+

(m- I)I(O)

+

I(I)

+

(n- )I(O)

or

I(I) I(O) (mn m n)I(O). (2.8)

Thus

I’

can also be written in the form

I’

(p) I(p) I(O) (mn m n)I(O)p. (2.9)

Substituting P e

F

Q (1,O,O,...,O) e

F

and P

(1,O,O,...,O)EF

n m n

Q e

F

separately into (1 3) we get

m

n

G(Pi)

(I(1)

+

(m- 1)I(O)) (nm- n)I(O) (2.10) i=1
(4)

420 W. SANDER

m

---

L(qj)(I(I)

+

(n I)I(O)) (nm m)I(O) (2.11)

j=1 or, using (2.8)

n

(I

---

G(Pi))(nm

n)I(O) O (2.12)

3=I

and

m

(1

L(qj))(nm-

m)I(O) O (2.13)

j=l

respectively.

After these preparations we can see immediately that

I’,G,L

satisfy

n m n m n m

---

--

I’

(piqj)

G(Pi)I’

(qj)

+

---

L(qj)I’

(pi)

(2.14)

i=I

3=I

i=I i=I

3=I

for all P e

F

Q e

F

m Putting

I’,

given by (2 6) into (2 14) and n

using (1.3) and (2.8), we see that (2.14) is equivalent to

n m

(1

G(Pi))

(nm n)I(O)

+

(1

---

L(qj))(nm

m)I(O) O. (2.15)

i=I j=1

But (2.15) is indeed valid because of (2.12) and (2.13).

In a further step we derive a functional equation for

I’,

G and L in which no sums will occur. Setting

F(p,q)

I’

(p-q) G(p)I’ (q) L(q)I’ (p) p,q

[O,1]

(2.16)

we get from (2.14)

n m

.=

F(Pi’qj)=

O’

P E

F

n’Q

E

F

m-Since by hypothesis F

[O,1]

2 R is measurable in each variable we get from Lemma in Kannappan

[3]

(This Lemma is an application

of the above Lemma that F can be represented in the form

F(p,q) F(p,O) (I mq)

+

F(O,q) (I np)

F(O,O) (1 mq) (1 np) (2.17)

Thus (2.16) and (2.17) imply

I’

(p’q) G(p)I’ (q)

+

L(q)I’ (p) p,q e

[O,1]

(2.18)

since (2.17), (1.9) and (2.7) yield F(p,O) F(O,q) F(O,O) O.

Because of I’(O) G(O) L(O) O it is enough to solve (2.18) for

all p,q e

(O,13.

Complex-valued functional equations of this type were intensively studied by Vincze

[7-9

3.

From these results we get
(5)

WEIGHTED ADDITIVE INFORMATION MEASURES 421

I’

(p) a.M(p).log p,

G(p) M(p) (1

+

b.log p) L(p) M(p) (I b.log p) (2.19)

I’

(p) a(M (p)

M2(p)),

G(p) (I

b)M1(p)

+

bM2(p)

L(p)

bM1(p)

+

(1

b)M2(P)

(2.20)

I’

(p) aM(p)sin(clog p) G(p) M(p)

[cos

(clog p)

+

bsin(clog

p)]

L(p)

M(p)cos(clog

p) bsin(clog

p)].

(2.21) Here a,b,c are constants and M,

MI,

M2:

(O,1]

R are measurable multiplicative functions. Let us remark that the measurable

solutions of (1.10) for p,q e

(O,13

are either

M O or (2.22)

M(p)

pA

A e or (2.23)

M(1) M(p) O for p e (O,1). (2.24)

Since I has the form

I(p) I’(p)

+

I(O)

+

(nm- n- m)I(O)p p e

[O,1]

(2.25)

(see (2.6) (2.8)) we can derive the solutions (I,G,L) of (1.9) and (1.3) from (2.19) to (2.24). Let us first consider the case that

n m

-

(S(Pi)

pi

O and

(L(qj)

qj)

O (2.26)

i=I

3=I

for all P e

Fn,

Q

Fm"

Then Lemma implies that

G(p) rp

+

s L(p)

r’p + s’

p e

[O,1]

where

r,r’,s,s’

are constants. Because of (1.9) we arrive at

G(p) L(p) p p

[O,1].

This is only possible if either

b O M(p) p in (2.19)

or if

b

MI(p)

M2(p)

p in (2.20).

In

both cases we get the solution (2.3). Now we assume that n

----

(G(Pi)

pi

O for some P e

F

or

i=I n

m

(L(qj)

qj)

O for some Q e F

3=

m"

Then (2.12) and (2.13) imply that I(O) O so that in all cases where

(6)

22 W SANDER

we get that I is equal to

I’

and thus I is not dependent

upon

n and m (see (2.25)). Using G(1) L(1) and the hypothesis that I is not constant we obtain from (2.19) to (2.24) the remaining solutions

(2.1), (2.2), (2.4) and (2.5) Thus the Theorem is proven.

It is clear that we can obtain from Theorem 2 some new

characterization theorems for information

measures.

For instance, we

remark that the functions G and L given by (2.4) or (2.5) cannot be continuous simultaneously. Thus we get the following extension of

results in Kannappan

[3,4],

Sharma and Taneja

[2,6].

COROLLARY 3. If in addition to the hypotheses of Theorem 2,

G and L are continuous then the only solutions (I,G,L) of (1.9) and

(1.3) are given by (2.1), (2.2) and (2.3).

Corollary 3 implies immediately the following characterization theorem

Let I

k be an (n,m)-weighted additive information measure where

Ik, G

k, Lk have the sum property with continuous generating functions

I(O) (0) (0) 0 (1)-- g(1) and I(

-then

Ik(P)

tt

,B)(p)

or

Ik(P)

Ilk(p)

P e F

k. Here ,B,C are real constants with A B.

Finally we give two interpretations of our result. If we put

b O into (2.1), (2.2) and (2.3) then we get with unchanged I(p)

G(p)

pA

L(p) pB

P

B

pA

+

pA

I(p)

+

pA A

@

B

G(p)

pA

L(p)

pA

A

G(p) p L(p) p,

respectively. Thus we

may

consider Corollary 3 as a justification

for the fact that in the literature only two special forms of G and

L were considered, namely (1.4) and (1.5).

On the other hand, the condition b O in (2.1) and (2.2) im-plies that in Corollary 3 we may assume without loss of generality

that G and L are continuous, non zero multiplicative functions. This result is analogous to a result concerning recursive

measures

of multiplicative type

(Aczl

and Ng,

[113).

REFERENCES

I.

LOSONCZI, L. A characterization of entropies of degree

,

Metrika 28 (1981), 237-244.

2.

SHARMA,

B.D.

and TANEJA,

I.J.

Entropy of type (,8) and other

generalized measures of information theory, Metrika

2_2

(1975), 205-215.

3. KANNAPPAN,

PIo

On some functional equations from additive and

non-additive measures-I,

Proc.

Edin. Math. Soc.

23

(1980),
(7)

WEIGHTED ADDITIVE INFORMATION MEASURES 423

4.

KANNAPPAN,

P

I.

On a generalization of sum form functional equation-III, Demonstratio Math. 13 (1980) 749-754.

5.

KANNAPPAN,

PI.

On a generalization of sum form functional equation-I, Stochastica 7 (1983), 97-109.

6. SHARMA,

B.D.

and

TANEJA,

I.J. Three generalized additive

measures of entropy,

EI___K 13(7/8)

(1977), 419-433.

7. VINCZE, E. Uber die Verallgemeinerung der trigonometrischen

und verwandten Funktionalgleichungen,

Ann.

Univ. Sci. Budapest E6tv6s, Sect. Math. 3-4 (1960-1961), 389-404. 8. Vincze, E. Eine allgemeinere Methode in der Theorie der

Funktionalgleichungen

II,

Publ. Math. Debrecen 9 (1962), 314-323.

9. Vincze, E. Eine allgemeinere Methode in der Theorie der

Funktionalgleichungen III, Publ. Math. Debrecen 10 (1963), 91-202.

10. Ebanks,

B.R.

On measures of fuzziness and their representations,

J.

Math. Anal.

AppI.

94 (1983), 24-37.

11.

ACZL,

J.

and NG, C.T. Determination of all semisymmetric

re-cursive information measures of multiplicative type on n positive discrete probability distributions, Linear

Algebra

References

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