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On a parametrized difference equation connecting chaotic and integrable mappings
Abstract
We present a new difference equation with two parameters and . This equation is equivalent to the logistic mapping if and the Morishita mapping if , which are the well-known chaotic and integrable mappings, respectively. We first consider the case and investigate the time evolution by changing the parameter . We next change both two parameters and and present the corresponding 3D bifurcation diagram.
1 Introduction
The logistic equation,
{align}
dudt = a u(1-u) u(0)=u_0,
where is a positive constant and is an unknown function,
is a model equation describing population dynamics and possesses a solution
{align}
u(t)=u0eatu0eat+1-u0
Concerning its discrete version, the following two difference equations are well-known:
{align}
& u_n+1= A u_n(1-u_n),
u_n+1 = A u_n(1-u_n+1) ⇔u_n+1=A un1+A un,
where is a given constant.
Eq. is the well-known logistic mapping and exhibits a chaotic behavior if exceeds the value .(See [1], for example.)
On the other hand, eq. , which is called the Morishita mapping, is an integrable mapping [2, 3]. In other words, eq. is linearized by taking its reciprocal and putting as {align*} v_n+1=1Av_n+1. This is solved as {align*} v_n=AA-1+1An(1u0-AA-1) and therefore is given by {align} u_n=An(A-1)u0A(An-1)u0+A-1, which converges to as tends to .
The purpose of this paper is to present a new difference equation connecting the above two different mappings. We also investigate the time evolution of this new equation and calculate the Lyapunov exponent. The bifurcation diagram is also presented.
2 A new difference equation connecting the logistic and Morishita mappings
In this section, we put and consider a new mapping including a variable parameter
, {align}
& u_n+1=4u_n(1-cu_n-(1-c)u_n+1)
⇔ u_n+1=4un(1-cun)1+4(1-c)un=f(c,u_n),
where .
It is easy to observe that the mapping is equivalent to the Morishita mapping if and
to the logistic mapping if .
Concerning the properties of , we have the following theorem.
{theorem}
The function satisfies the following properties.
{align}
& f(c,34)=34
0≤f(c,x) ≤1
The relation means that is an equilibrium point of the mapping
and means that if we have for any .
Proof :
The relation is easily shown through direct calculation.
In order to prove , we take a derivative of
with respect to , which is given by
{align*}
∂∂c f(c,x)=4x2(3-4x)(1+4x-4cx)2.
Hence we have
{align*}
f(0,x) ≤f(c,x) ≤f(1,x) & (0 ≤x ≤34),
f(1,x) ≤f(c,x) ≤f(0,x) (34 ≤x ≤1).
Together with the facts,
{align*}
0≤f(0,x)=4x1+4x¡1, 0≤f(1,x)=4x(1-x) ≤1,
the relation follows.
By changing in an interval , we calculate the time evolutions of , which are given in Fig. 2. Numerical calculations are performed by Python 3.9.
[scale=0.5]period1.png \includegraphics[scale=0.5]period2.png \includegraphics[scale=0.5]period4.png \includegraphics[scale=0.5]period8.png \includegraphics[scale=0.5]chaos1.png \includegraphics[scale=0.5]period3.png
We here investigate the Fig. 2 in a detailed manner. If , we can observe that converges to . This is confirmed as follows. We put in eq. and have the Taylor expansion of around as follows. {align*} u_n+1&=(3+4ε)(1-c(34+ε))1+(1-c)(3+4ε) =34+-1+3c-4+3cε+⋯. If we have and therefore the equilibrium point is stable.
If exceeds , we have and therefore is unstable. It should be noted that is another equilibrium point, which is, however, unstable for .
Through straightforward calucations, if , converges to a periodic orbit with period 2. That is, takes alternately two values {align*} u_2,±=-5+10c±55-16c+12c28(-c+2c2), which are solutions of the equation except , as tends to . In other words, we have {align*} f(c,u_2,±)=u_2,∓. The Taylor expansion of around is given by {align*} f(c,f(c,u_2,±+ε))=u_2,±+63c2-84c+253c2-4cε+⋯. Hence if exceeds the value , which is a solution to , the period of the sequence becomes 4.
If we further increase the parameter , the period of the sequence is
doubled as and finally a chaotic behavior appears at .
We next calculate the value where is -periodic if .
We further calculate
{align}
F_n=cn+1-cncn+2-cn+1,
which is expected to converge to the Feigenbaum constant as is shown in Table 2.
1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | |
---|---|---|---|---|---|---|---|---|
0.833333 | 0.922902 | 0.93803 | 0.941167 | 0.941833 | 0.9419755 | 0.94200603 | 0.94201257 | |
5.920743 | 4.822442 | 4.710210 | 4.657343 | 4.761904 | 4.668196 |
It is interesting to note that the period 3 appears around , which reminds us of Li and York’s famous result [4]. The approximated critical values are given by and .
In Fig. 2, we give a Lyapnov exponent defined by {align} λ=lim_n→∞ 1n ∑_j=0^n-1 log— ∂∂x f(c,u_j) — . We can observe that takes negative value for and then takes positive value.
[scale=0.5]lyapnov.png
[scale=0.5]figure1.png \includegraphics[scale=0.5]figure2.png
[scale=0.5]figure3.png \includegraphics[scale=0.5]figure4.png
3 The mapping with two parameters and 3D bifurcation diagram
Next we extend Eq. to a mapping with two parameters
and , given by
{align}
& u_n+1=Au_n(1-cu_n-(1-c)u_n+1)
⇔ u_n+1=Aun(1-cun)1+A(1-c)un=f(A,c,u_n),
where .
Changing the two parameters and , we obtain the corresponding bifurcation diagrams shown in Fig. 3, in which the upper and lower figures stand for the same diagram looked from different viewpoints. It should be noted that if converges to the value so we omitted.
We next calculate of Eq. , which is given as Table 3:
[scale=0.5]fig0103v1.png
\includegraphics[scale=0.5]fig0103v2.png
=1 | =2 | =3 | =4 | |
---|---|---|---|---|
=3.80 | 5.89888 | 4.82824 | 4.70431 | 4.67570 |
=3.85 | 5.90474 | 4.82648 | 4.70576 | 4.67548 |
=3.90 | 5.90988 | 4.82597 | 4.70410 | 4.67736 |
=3.95 | 5.91525 | 4.82493 | 4.70450 | 4.67634 |
4 Concluding Remarks
We have investigated a mapping with two parameters connecting the logistic mapping and the Morishita mapping, which are famous chaotic and integrable difference equations, respectively. It is very interesting to note that a peridic orbit of period 3 appears and a self-similarity of the bifurcation diagram is observed. These phenomena are also observed in the logistic mapping . From the obtained results, we may conclude that the difference equation is a chaotic mapping.
Acknowledgment
One of the authors (A. N.) is supported by JSPS KAKENHI Grant Number 18K03347.
- [1] R. M. May, Nature 261, 457 (1976).
- [2] M. Morishita, Res. Popul. Ecol. 7, 52 (1965).
- [3] R. Hirota and D. Takahashi, Discrete and ultra-discrete, (Kyoritsu Pub. Tokyo, 2003) [in Japanese].
- [4] T. Y. Li and J. A. Yorke, Amer. Math. Monthly 82, 985(1975).