1. Introduction and Preliminaries
In information theory, the entropy is defined as a measure of uncertainty. The most used of the entropies is Shannon entropy (
), which is given for a probability distribution
; thus,
An useful property of the Shannon entropy is the additivity, , where , and .
In [
1], Sayyari gave an extension of Jensen’s discrete inequality considering the class of uniformly convex functions getting lower and upper bounds for Jensen’s inequality. He applied this results in information theory and obtained new and strong bounds for Shannon’s entropy of a probability distribution. Recently, in [
2], De Gregorio, Sánchez and Toral defined the block entropy (based on Shannon entropy), which can determine the memory for systems modeled as Markov chains of arbitrary finite order.
We have found several ways to define the entropy of a natural number. Jeong et al., in [
3], defined the additive entropy of a natural number in terms of the additive partition function. If
d is the divisor of a natural number
n, then we will write
. If
is the sum of natural divisors of
n, then it is easy to see that
. Thus, the ratio
can be seen as a probability. As a result we, have a discrete probability distribution associated with a natural number. In [
4], we found the following definition for the entropy of a natural number:
where log is the natural logarithm. Unfortunately, we did not find this interesting definition of the entropy of a natural number in a book or paper, but on a website. This entropy has the following interesting property:
when
and
. If
p is a prime number and
, then we have
Taking the limit as
, we obtain
We remark that, if
p is a prime number,
, such that
, then
In the paper [
5], Minculete and Pozna introduced the notion of entropy of a natural number in another way—namely, if
by applying the fundamental theorem of arithmetic,
n is written uniquely
, where
,
are distinct prime positive integers and
Let
and
. The entropy of
n is defined by
Here, by convention, .
Minculete and Pozna (in [
5]) gave an equivalent form for the entropy of
namely:
For example, if
we have:
Another example: if
we have:
Minculete and Pozna proved (in [
5]) the following:
Proposition 1. where is the number of distinct prime factors of Remark 1. (i) If , then
- (ii)
If then
- (ii)
If then
It is easy to see that , with .
The relevance of this entropy is given by the possibility of extension to ideals. The extension of some properties of the natural numbers to ideals was recently given in [
6]. Some of the studied results can be transferred to other types of generalized entropies that can be defined later [
7]. Entropy is generally used in mathematical physics applications, but it can constitute a new element of analysis in theoretical fields [
8]. Recently, in [
9], Niepostyn and Daszczuk used entropy as a measure of consistency in software architecture. Therefore, the area of studying different types of entropies in various fields is expanding.
Our motivation of this article was to study some properties of certain types of entropies of a natural number. We compare two of the entropies defined for a natural number. Additionally, regarding the entropy
H of a natural number, introduced in [
5], we generalize this notion for ideals, and we find some of its properties. We mention that the entropy of the ideal is generalized from the second notion of the entropy of integers.
2. A Comparison between the Entropies H and
In this section, we propose to compare the entropies H and , looking to similarities and differences between them.
Proof. From relation (
1), we have
Next, we use the following limit of functions:
Therefore, we obtain □
Remark 2. Related to the entropy , we havewhen , with p being a prime number and . It is easy to see that
Proposition 3. If , with p being a prime number and , then we have Proof. From the definition of
H, we have
By taking the limit when , we deduce the relation of the statement. □
We also see that if
, then
As a result, we ask ourselves the question of what is the relationship between and , where , .
If
and
, then
,
and
, so we have
If
and
, then
and
, which means that
so we have
Next, we study a general result of this type for the entropy H.
Proposition 4. We assume that and , where are distinct prime numbers and . Then, the inequalityholds. Proof. From the definition of
H, we have
and
. Therefore, we obtain
We consider the function defined by
. Since for every , we deduce that the function f is increasing, so we have Consequently, the inequality of the statement is true. □
Proposition 5. We assume that and , where are distinct prime numbers and . Then, we have the following inequality Equality holds for .
Proof. For
, we deduce that
and
, which implies
and
, so we have
For
, we find
and
. Now, we obtain
for all
, because the function
defined by
is strictly positive. It is easy to see that
for every
. Therefore, for
, we prove the relation of the statement. □
We study another result for which we have
where
,
.
Proposition 6. Let be two natural numbers such that and decomposition in prime factors of given by and with for all and , . Then, the inequalityholds. Proof. Using the definition of
H, we deduce the equality
Since
for all
and
, we obtain that
and
. Using equality (
7) and above inequalities, we show that
Consequently, the inequality of the statement is true. □
Theorem 1. Let be two natural numbers such that and . Then, the following inequalityholds. Proof. Using relation (
7) and the definition of
H, we have
Since, using the concavity of the function log, we deduce the inequality
Therefore, relation (
8) becomes
so we obtain
Therefore, taking into account that
and using inequality (
9), we deduce the statement. □
Next, our goal was to show that the entropy H is more suitable to extend it to ideals.
3. The Entropy of an Ideal
In this section, we introduce the notion of entropy of an ideal of a ring of algebraic integers, and we find interesting properties of it.
Let
K be an algebraic number field of degree
where
,
, and let
be its ring of integers. Let Spec
be the set of the prime ideals of the ring
Let
p be a prime positive integer. Since
is a Dedekind ring, applying the fundamental theorem of Dedekind rings, the ideal
is written uniquely (except for the order of the factors) like this:
where
and
…,
The number
(
) is called the ramification index of
p at the ideal
.
Generally, according to the fundamental theorem of Dedekind rings, any ideal
I of the ring
decomposes uniquely:
We shall mostly work in this article with ideals of the form
, since for such ideals there are known ramification results in the ring
, for many algebraic number fields
K (when
K is any quadratic field, or
K is any cubic field, or
K is any cyclotomic field, or
K is any Kummer field, etc.)
The following result is known (see [
10,
11,
12]):
Proposition 7. In the above notation, we have:
- (i)
where is the residual degree of meaning - (ii)
If, moreover, is a Galois extension, then (denoted by e), (denoted by f). Therefore,
Let
be the set of ideals of the ring
Let
I∈
,
I be written uniquely as in equality (
10).
It is easy to see that . Thus, the ratio can be seen as a probability; as a result, we have a discrete probability distribution associated with a ideal.
We generalize the notion of entropy of an ideal like this:
Definition 1. Let be an ideal of the ring , decomposed as above. We define the entropy of the ideal I as follows:where Immediately, we obtain the following equivalent form, for the entropy of the ideal
I:
We now give some examples of calculating the entropy of an ideal.
Example 1. Let ξ be a primitive root of order 5 of the unity and let be the 5th cyclotomic field. The ring of algebraic integers of the field K is We consider the ideal It is known that (see [10,13]). Let the ideal The entropy of the ideal is Example 2. Let the pure cubic field Since (mod 9), the results show that the ring of algebraic integers of the field K is (see [14]). Since (mod 3), where Thus, the ideal splits in the ring The entropy of the ideal is Example 3. In the same field (as in the previous example) with the ring of integer we consider the ideal
Since (mod 3), where Thus, the ideal splits completely in the ring (see [14]). The entropy of the ideal is Remark 3. Let K be an algebraic number field, and let be its ring of integers. Let p be a prime positive integer. If p is inert or totally ramified in the ring then
Proof. To calculate the entropy of ideal , we consider two cases.
Case 1: if p is inert in the ring the results show that is a prime ideal. Then and
Case 2: if p is totally ramified in the ring the results show that where and This results immediately in and □
Proposition 8. Let n be a positive integer, , and let p be a positive prime integer. Let K be an algebraic number field of degree and let be its ring of integers. Then:where is the number of distinct prime factors of the ideal Proof. The proof of the inequality
is similar to the proof of Proposition 1 (that is, Theorem 2. from the article [
5]).
Since
is a Dedekind ring, the ideal
is written in a unique way:
where
and
…,
By applying Proposition 7 (i), we obtain that
The equality
is achieved when the ideal
p splits totally in the ring
It follows that
□
Proposition 9. Let K be an algebraic number field, and let be its the ring of integers. Let p be a prime positive integer. If the extension of fields is a Galois extension, then Proof. By taking into account the fact that
is a Dedekind ring and applying Proposition 7 (ii), it follows that the ideal
is uniquely written as follows:
where
and
…,
According to Formula (2), the entropy of the ideal
is
□
4. Conclusions
Study of the entropy in information theory is a very important tool for for measuring uncertainty. The most used of entropies is the Shannon entropy. There are many studies regarding the characterization and application of entropy Shannon (see, e.g., [
1,
2], etc.). We are studying a way of measuring the “disorder” of the divisors of a natural number. Since we have
, the ratio
can be seen as a probability. As a result, we have a discrete probability distribution associated with a natural number. Similarly, there are some studies related to the entropy of a natural number—namely, Jeong et al., in [
3], defined the additive entropy of a natural number in terms of the additive partition function, and in [
4], we found the following definition for the entropy of a natural number:
where
is the sum of natural divisors of
n. Additionally, regarding the entropy
H of a natural number, introduced in [
5], another type of entropy is a natural number. Mainly, the discussion is about the properties of entropy
H. In Propositions 6 and Theorem 1, we were talking about the magnitude of
and
.
In equality , the ratio can be seen as a probability. As a result, we have a discrete probability distribution associated with a ideal. Thus, we generalize this notion for ideals and find some of its properties. The relation between the proposed entropy of a natural number or an ideal is of a purely theoretical nature.
In the future, we will look for other connections of entropy within ideals, studying a possible generalization of existing entropy types for natural numbers or for ideals. We will study some inequalities involving the entropy H of an exponential divisor of a positive integer and the entropy H of an exponential divisor of an ideal. Additionally, we shall try to study the entropy in the cases of more general ideals of the ring of algebraic integers of an algebraic number field than the ideals of the form with p being a prime integer.