Abstract
In this article, we find some properties of certain types of entropies of a natural number. We are studying a way of measuring the “disorder” of the divisors of a natural number. We compare two of the entropies H and defined for a natural number. An useful property of the Shannon entropy is the additivity, , where denotes tensor product, so we focus on its study in the case of numbers and ideals. We mention that only one of the two entropy functions discussed in this paper satisfies additivity, whereas the other does not. In addition, regarding the entropy H of a natural number, we generalize this notion for ideals, and we find some of its properties.
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 [], 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 [], 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 [], 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 [], 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 [], 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 []) gave an equivalent form for the entropy of namely:
For example, if we have:
Another example: if we have:
Minculete and Pozna proved (in []) 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 []. Some of the studied results can be transferred to other types of generalized entropies that can be defined later []. Entropy is generally used in mathematical physics applications, but it can constitute a new element of analysis in theoretical fields []. Recently, in [], 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 [], 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.
Proposition 2.
Proof.
Therefore, we obtain □
Remark 2.
Related to the entropy , we have
when , 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
It follows that
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 inequality
holds.
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 inequality
holds.
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 inequality
holds.
Proof.
Since, using the concavity of the function log, we deduce the inequality
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 [,,]):
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,
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 [,]). 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 []).
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 []). 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 []).
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., [,], 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 [], defined the additive entropy of a natural number in terms of the additive partition function, and in [], 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 [], 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.
Author Contributions
Conceptualization, N.M. and D.S.; methodology, N.M. and D.S.; validation, N.M. and D.S.; formal analysis, N.M. and D.S.; investigation, N.M. and D.S.; resources, N.M. and D.S.; writing–original draft preparation, N.M. and D.S.; writing–review and editing, N.M. and D.S.; visualization, N.M. and D.S.; supervision, N.M. and D.S. All authors have read and agreed to the published version of the manuscript.
Funding
Both authors acknowledges the financial support from Transilvania University of Braşov.
Institutional Review Board Statement
Not applicable.
Data Availability Statement
Not applicable.
Acknowledgments
The authors want to thank the anonymous reviewers and editor for their careful reading of the manuscript and for many valuable remarks and suggestions. The authors also want to thank Mirela Ştefănescu for useful discussions on this topic.
Conflicts of Interest
The authors declare no conflict of interest.
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