The honored science and education member of the RANS, corresponding-member of the IAS of HS, Dr.S. (eng.). Professor, Pil E.A. Russia, Saint-Petersburg, Saint-Petersburg State Marine Technical University

 

Classification of evolution of variables et and pt

Economic growth or recession are affected by a large number of factors one of which is growth or decrease in population for objective reasons. In order to find out the interconnection between theoretical economic growth or recession et and theoretical growth or decrease in population pt respectively, we developed special Table, where possible variants of interconnection of variables et and pt in question are presented. In this work and for our case the word economy will be understood as GDP in the country in question.

As a result of the analysis of the whole Table the presented dependences of variables et and pt can be for our purpose divided into the following 23 types:

1.     et and pt nonintersecting lines;

2.     et and pt intersecting lines;

3.     et and pt nonintersecting line and curve;

4.     et and pt nonintersecting lines;

5.     et and pt intersecting lines;

6.     et and pt nonintersecting line and curve ;

7.            et and pt nonintersecting lines changing into a curve and curves;

8.     et and pt intersecting line and curve;

9.     et and pt nonintersecting curves changing into lines;

10.   et and pt nonintersecting curves;

11.   et and pt nonintersecting curves symmetrical in relation to one axis parallel to axis Qt as with same Tptmax = Tetmax and Tptmin = Tetmin values, so with different Tetmin, Tptmin, Tetmax and Tptmax values;

12.   et and pt nonintersecting curves symmetrical in relation to two axes parallel to axes Qt and t;

13.   et and pt curves intersecting in one point;

14.   et and pt curves intersecting in two points;

15.   et and pt tangent line and curve;

16.   et and pt tangent curves;

17.   et and pt tangent curves symmetrical in relation to axis parallel to axis Qt ;

18.   et and pt tangent curves symmetrical in relation to axis parallel to axis t and symmetrical in relation to axes t и Qt ;

19.       et and pt joining lines;

20.       et and pt joining curves;

21.                et and pt curves changing into joining lines ;

22.                et and pt joining lines changing into diverging curves;

23.       et and pt joining and diverging curves.

Using the calculations which were made we developed a classification of dependences of variables et and pt, which is shown in Figure 1. As we can see on Figure 1, variables et and pt can be divided into three classes: the linear dependence class, the linear and curvilinear dependence class and the curvilinear dependence class. These classes in their turn are divided into three subclasses: increasing, decreasing, and increasing and decreasing. The subclasses are divided into the following five kinds: merging, nonmerging, diverging, etc. These kinds themselves are divided into five subkinds depending on the kind in question, such as: parallel, nonparallel, etc. On the last level variables et and pt are divided into two types depending on the law or laws according to which they change.

The classification shown in Figure 1 can be represented as the graph shown in Figure 2, where the graph’s peaks are linear, curvilinear dependences or their combinations, which can go up or down, be symmetrical, etc., and the branches are their characteristics. Thus, the better we know the parameters of peak branch characteristics, the easier it is to make right conclusions while analyzing the economic state of a country and its population.

This classification allows us to quickly relate specific variables et and pt in question to their class, subclass, etc.