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Article

Non-Periodicity of Complex Caputo Like Fractional Differences

by
Michal Fečkan
1,2,* and
Marius-F. Danca
3,4,*
1
Faculty of Mathematics, Physics and Informatics, Comenius University in Bratislava, 842 48 Bratislava, Slovakia
2
Mathematical Institute, Slovak Academy of Sciences, 814 73 Bratislava, Slovakia
3
STAR-UBB Institute, Babes-Bolyai University, 400084 Cluj-Napoca, Romania
4
Romanian Institute of Science and Technology, 400487 Cluj-Napoca, Romania
*
Authors to whom correspondence should be addressed.
Fractal Fract. 2023, 7(1), 68; https://doi.org/10.3390/fractalfract7010068
Submission received: 7 December 2022 / Revised: 31 December 2022 / Accepted: 3 January 2023 / Published: 7 January 2023
(This article belongs to the Special Issue Advances in Fractional-Order Neural Networks, Volume II)

Abstract

:
Aspects related to non-periodicity of a class of complex maps defined in the sense of Caputo like fractional differences and to the asymptotical stability of fixed points are considered. As example the Mandelbrot map of fractional order is considered.

1. Introduction

As is known, commensurate and non-commensurate Fractional Order (FO) continuous systems in the sense of Caputo, Riemann–Liouville, or Grundwald–Letnikov definitions, and also other types of fractional differences, cannot generate exactly periodic signals with all arising implications (see, e.g., [1,2,3,4,5,6,7,8,9,10,11,12]).
Fractional models can describe complex physics problems clearly and concisely, especially the non-linear model. Fractional order equations offer better possibilities to describe complex physics compared to the traditional integer order equations (see e.g., [13]). One of the most prominent features of the fractional order differential and discrete equations is its memory [14]. On the other side, there are very few results on the Mandelbrot set or Julia sets of fractional order. The Mandelbrot set generated by a fractional difference quadratic map involving Caputo-like fractional h-difference operators represents the subject in [15]. Problems of discrete systems of FO, such as hidden attractors and chaos control, are analyzed in, e.g., [16,17,18].
Fractional Mandelbrot sets have rarely been mentioned to date. Therefore, the application of fractional calculus to deterministic non-linear fractals such as Mandelbrot and also Julia sets generated by fractional maps leads to a very attractive and new theory with applications, e.g., to image and data compression or computer graphics.
In this paper, we focus on the class of complex maps defined below. Let q ( 0 , 1 ) , and N 1 q = { 1 q , 2 q , 3 q , } . The fractional difference equations studied in this paper are
q u ( k ) = f ( u ( k 1 + q ) ) , k N 1 q ,
in which one considers the initial condition u ( 0 ) = u 0 . q is the Caputo delta fractional difference (see [19,20,21,22]).
As is known, in a convenient numerical form, the equivalent discrete integral form of (1) is (see, e.g., [19,20,21,22])
u ( n ) = u ( 0 ) + 1 Γ ( q ) j = 1 n Γ ( n j + q ) Γ ( n j + 1 ) f ( u ( j 1 ) ) , n = 1 , 2 ,
Remark 1.
Since the integral is equivalent to (1), all properties of (1) can be analyzed on (2).
Some of results in this paper are particularized for the complex Mandelbrot map f C ( C , C )
f ( u ) = u 2 + c , c C .
The recurrence (1) with f given by (3) defines the Mandelbrot map of FO, denoted hereafter as the F O M map.
Representative F O M sets for some values of q obtained with the matlab code in Appendix A (see Figure A1) (see also [23], where the time-escape algorithm for F O M and Julia sets of FO are introduced) are presented in Figure 1. As can be seen, the F O M set for q = 1 is not, as expected, identical to the known integer order (IO) variant (Figure 1d). This characteristic suggests that FO systems should be considered only with caution as “generalizations” of IO systems. On the other side, a strong resemblance between IO and FO sets (Figure 1a) appears in the case q 0 , considered here q = 1 × 10 15 for computational reasons ( Γ ( z ) in (2) is not defined for z = 0 ). Many other interesting properties, resemblances and especially differences between the Mandelbrot set of IO and its FO counterparts can be found in [23].

2. Properties of the FOM Map

In this section, the stability of the F O M map and properties related to asymptotical periodicity are analyzed.

2.1. Stability of Fixed Points

Theorem 1.
The fixed points of the F O M map are
u ± = ± ı c .
Proof. 
Fixed points are given by the equation u ( n ) = u ( 0 ) for any n N in (2), which holds if and only if f ( u ) = 0 is satisfied, and recalling (3), wherefrom u = ± ı c , and the proof is finished. □
The stability domain of the fixed points u ± is stated by the following result.
Theorem 2.
The fixed points u ± are asymptotically stable if and only if c S q
S q = c C : | c | < 4 q 1 cos | arg c ± π | 2 π 2 ( 2 q ) 2 q , | arg c ± π | > q π .
Moreover, the fixed point u = ı c is stable if (see Figure 2)
| u | < 4 q 1 cos π arg c 2 ( 2 q ) 2 q , arg c > ( q 1 ) π ,
and the fixed point u + = ı c is stable if (see Figure 2)
| c | < 4 q 1 cos π + arg c 2 ( 2 q ) 2 q , arg c < ( 1 q ) π .
Proof. 
The derivative of f is
D f ( u ) v = f ( u ) v = 2 u v ,
and the spectrum of eigenvalues is σ ( D f ( u ) ) = { 2 u , 2 u ¯ } .
Consider c = | c | e ı arg c . Then,
u ± = | c | e ı arg c ± π 2 .
Since arg c [ π , π ] , we have
arg c + π 2 [ 0 , π ] , arg c π 2 [ π , 0 ] ,
hence
arg u ± = arg c ± π 2 , | u ± | = | c | ,
and
σ ( D f ( u ± ) ) = 2 | c | e ı arg c ± π 2 , 2 | c | e ı arg c π 2 .
By [20], u ± are locally stable whenever
2 | c | < 2 cos | arg c ± π | 2 π 2 q q , | arg c ± π | 2 > q π 2 .
This is equivalent to
| c | < 4 q 1 cos | arg c ± π | 2 π 2 ( 2 q ) 2 q , | arg c ± π | > q π .
Using | arg c + π | = arg c + π and | arg c π | = π arg c , the proof is finished. □
Four representative cases of S q are considered in Figure 3. The two colors (red and blue) correspond to the signs ±, respectively.
Next, the following inverse result is presented.
Theorem 3.
If λ σ ( D f ( u ± ) ) are the eigenvalues corresponding to the fixed points u ± , then
c λ 2 4 , λ ¯ 2 4 .
Proof. 
We know that σ ( D f ( u ± ) ) = { 2 u ± , 2 u ¯ ± } . So if λ = 2 u ± , then
λ 2 = 4 u ± 2 = 4 c ,
which implies
c = λ 2 4 .
Similarly, λ = 2 u ¯ ± gives
λ 2 = 4 u ¯ ± 2 = 4 c ¯ ,
which implies
c = λ ¯ 2 4 .
The proof is finished. □

2.2. Periodic Boundary Problem of (1)

As mentioned in the Introduction, FO systems cannot have non-constant periodic solutions. However, we may instead study the n-periodic boundary problem of (2)
u ( 0 ) = u ( n ) ,
for a fixed n N . So, for n = 2 , we get the 2-periodic boundary problem.
We denote by “nonfixed point” a point that is not a fixed point of (1).
Theorem 4.
Nonfixed point solutions of
u ( 0 ) = u ( 2 )
are given by
u 2 , ± ( 0 ) = 1 ± c q .
Proof. 
Solving (8), we have
u ( 0 ) = u ( 2 ) = u ( 0 ) + 1 Γ ( q ) Γ ( 2 1 + q ) Γ ( 2 1 + 1 ) f ( u ( 0 ) ) + Γ ( 2 2 + q ) Γ ( 2 2 + 1 ) f ( u ( 1 ) )            = u ( 0 ) + 1 Γ ( q ) Γ ( 1 + q ) Γ ( 2 ) f ( u ( 0 ) ) + Γ ( q ) Γ ( 1 ) f ( u ( 1 ) )                   = u ( 0 ) + 1 Γ ( q ) q Γ ( q ) f ( u ( 0 ) ) + Γ ( q ) f ( u ( 1 ) )                    = u ( 0 ) + q f ( u ( 0 ) ) + f ( u ( 1 ) ) .
Thus, (8) is equivalent to
0 = q f ( u ( 0 ) ) + f ( u ( 1 ) ) = q ( u ( 0 ) 2 + c ) + u ( 1 ) 2 + c = q ( u ( 0 ) 2 + c ) + ( u ( 0 ) + u ( 0 ) 2 + c ) 2 + c = c + u ( 0 ) 2 c + q + ( u ( 0 ) + 1 ) 2 ,
since
u ( 1 ) = u ( 0 ) + 1 Γ ( q ) Γ ( 1 1 + q ) Γ ( 1 1 + 1 ) f ( u ( 0 ) ) = u ( 0 ) + 1 Γ ( q ) Γ ( q ) Γ ( 1 ) f ( u ( 0 ) ) = u ( 0 ) + f ( u ( 0 ) ) = u ( 0 ) + u ( 0 ) 2 + c .
Solving (10), i.e.,
c + u ( 0 ) 2 c + q + ( u ( 0 ) + 1 ) 2 = 0 ,
we obtain either fixed points (4) or nonfixed point solutions (9), i.e, here we see that solutions verify also c + u ( 0 ) 2 = 0 , but these are fixed points, so we do not consider them in the statement of Theorem 4. The proof is completed. □
Remark 2.
1. From the above formulas, we can explicitly solve
u ( 1 ) = u ( 2 )
as
c + u ( 0 ) 2 c + q + ( u ( 0 ) + 1 ) 2 1 = 0
with nonfixed point solutions
u 2 , ± ( 0 ) = 1 ± c q + 1 .
2. Starting with (9), so u 2 , + ( 0 ) = 1 + c q , we obtain
u ( 0 ) = 1 + c q , u ( 1 ) = c q q , u ( 2 ) = 1 + c q = u ( 0 ) , u ( 3 ) = 1 2 q ( q + 1 ) f u ( 0 ) + q f f u ( 0 ) + u ( 0 ) + f q f u ( 0 ) + f f u ( 0 ) + u ( 0 ) + u ( 0 ) + u ( 0 ) = 1 2 q q 2 c q + q 2 2 c q 1 c q .
Then
u ( 3 ) u ( 1 ) = 1 2 ( q 1 ) q 2 c q + q 1
so u ( 3 ) u ( 1 ) .
Now, consider the formal definition of a discrete dynamical system as a triple ( N , R , Φ ) , with Φ : N × R R a function, with the following properties: for any x R : Φ ( 0 , x ) = x and Φ ( n , Φ ( m , x ) ) = Φ ( n + m , x ) , for n , m N , i.e., Φ ( n ) Φ ( m ) = Φ ( n + m ) . If Φ ( n , u ( 0 ) ) is a solution of (1), i.e., Φ ( n , u ( 0 ) ) = u ( n ) , then Φ does not verify the semigroup relation Φ ( n ) Φ ( m ) = Φ ( n + m ) for any n , m N . For example, if u ( 0 ) = u ( 2 ) , then u ( 1 ) = Φ ( 1 , u ( 0 ) ) = Φ ( 1 , u ( 2 ) ) = Φ ( 1 , Φ ( 2 , u ( 0 ) ) ) = Φ ( 3 , u ( 0 ) ) = u ( 3 ) which, as proved above, does not hold for this concrete values. This justifies that (1) would be not a dynamical system, since otherwise u ( 0 ) = u ( 2 ) would imply u ( 1 ) = u ( 3 ) .
Another approach is due to the memory history of solutions of FO discrete equations. Consider a discrete dynamical system defined by a recurrence u i = f ( u i 1 ) , for i = 0 , 1 , 2 , , where f : R R is some map. Compared with this definition, the integral (2) depends not only on the previous value, u i , but on all previous values u 0 , u 1 , , u i 1 , i.e., u i = F ( u 0 , u 1 , , u n 1 ) and, therefore, (1) should not define a dynamical system, which is independent of memory. Therefore, to overcome this impediment, another approach to define discrete FO systems should be given. Note that this situation appears in the case of FDEs as well. A possible approach would be to consider under some conditions the integrals characterizing the system as a dynamic system (see [24]).
3. Formula (2) shows that u ( n ) is a polynomial function of u ( 0 ) of degree 2 n with polynomial coefficients of c. Thus, the Equation (7) has a solution but at most 2 n different solutions.

2.3. Periodic Boundary Problem of FOM for Mandelbrot Case

Now, we restrict the above considerations on the F O M for the Mandelbrot case; that is, we consider u ( 0 ) = 0 , i.e., instead of (2), we deal with
u ( n ) = 1 Γ ( q ) j = 1 n Γ ( n j + q ) Γ ( n j + 1 ) f ( u ( j 1 ) ) , n = 1 , 2 ,
Then, we obtain the following result.
Theorem 5.
The following holds:
(a) 
The only fixed point of (12) is u ( 0 ) = 0 .
(b) 
Nonzero solutions of
u ( 0 ) = u ( 2 ) = 0
exist just for
c = 1 q .
(c) 
For any q ( 0 , 1 ) and n 2 , equation
0 = u ( 0 ) = u ( n ) ,
has a nonzero solution for c 0 , but there are at most 2 n different solutions.
Proof. 
To prove (a), by using (4), we obtain 0 = ± c , so c = 0 . This verifies (a).
To prove (b), by using (12), we have
u ( 2 ) = 1 Γ ( q ) Γ ( 2 1 + q ) Γ ( 2 1 + 1 ) f ( u ( 0 ) ) + Γ ( 2 2 + q ) Γ ( 2 2 + 1 ) f ( u ( 1 ) )       = 1 Γ ( q ) Γ ( 1 + q ) Γ ( 2 ) f ( 0 ) + Γ ( q ) Γ ( 1 ) f ( u ( 1 ) )                 = 1 Γ ( q ) q Γ ( q ) f ( 0 ) + Γ ( q ) f ( u ( 1 ) ) = q f ( 0 ) + f ( u ( 1 ) ) .
Thus, (13) is equivalent to
0 = q f ( 0 ) + f ( u ( 1 ) ) = q ( 0 2 + c ) + u ( 1 ) 2 + c = q c + c 2 + c = c ( c + q + 1 ) ,
since
u ( 1 ) = 1 Γ ( q ) Γ ( 1 1 + q ) Γ ( 1 1 + 1 ) f ( u ( 0 ) ) = 1 Γ ( q ) Γ ( q ) Γ ( 1 ) f ( 0 ) = f ( 0 ) = c .
We see that (16) has a nonzero solution given by (14), which verifies (b).
To prove (c), we note that f ( u ) = u 2 + c , and thus Formula (12) shows that u ( n ) is a polynomial function of c of degree 2 n with nonnegative real coefficients. Thus, it has a nonzero solution for c 0 , but at most 2 n different ones. This verifies (c). The proof is finished. □

2.4. Asymptotic 2-Periodic Solutions of FOM

First, we derive necessary conditions for the existence of asymptotic 2-periodic solutions of the general case (1).
Theorem 6.
Let q ( 0 , 1 ) , and consider (2) for f C ( C , C ) . Assume there exist
lim n u ( 2 n ) = a C , lim n u ( 2 n + 1 ) = b C .
Then, it holds that
0 = q f ( a ) + f ( b ) + 1 Γ ( q ) k = 1 Γ ( 2 k + 1 + q ) Γ ( 2 k + 2 ) Γ ( 2 k 1 + q ) Γ ( 2 k ) f ( a ) + 1 Γ ( q ) k = 1 Γ ( 2 k + q ) Γ ( 2 k + 1 ) Γ ( 2 k 2 + q ) Γ ( 2 k 1 ) f ( b )
and
b a = f ( a ) + 1 Γ ( q ) k = 1 Γ ( 2 k + q ) Γ ( 2 k + 1 ) Γ ( 2 k 1 + q ) Γ ( 2 k ) f ( a ) + 1 Γ ( q ) k = 1 Γ ( 2 k 1 + q ) Γ ( 2 k ) Γ ( 2 k 2 + q ) Γ ( 2 k 1 ) f ( b ) .
Proof. 
The relation (17) gives
lim n f ( u ( 2 n ) ) = f ( a ) , lim n f ( u ( 2 n + 1 ) ) = f ( b ) .
Equation (2) is equivalent to
u ( n ) = u ( 0 ) + 1 Γ ( q ) j = 1 n Γ ( j 1 + q ) Γ ( j ) f ( u ( n j ) ) , n = 1 , 2 ,
So we have
u ( 2 n + 2 ) u ( 2 n ) = 1 Γ ( q ) j = 1 2 n + 2 Γ ( j 1 + q ) Γ ( j ) f ( u ( 2 n + 2 j ) ) 1 Γ ( q ) j = 1 2 n Γ ( j 1 + q ) Γ ( j ) f ( u ( 2 n j ) ) = 1 Γ ( q ) j = 1 2 Γ ( j 1 + q ) Γ ( j ) f ( u ( 2 n + 2 j ) ) + 1 Γ ( q ) j = 1 2 n Γ ( j + 1 + q ) Γ ( j + 2 ) Γ ( j 1 + q ) Γ ( j ) f ( u ( 2 n j ) ) .
Next, we have
1 Γ ( q ) j = 1 2 Γ ( j 1 + q ) Γ ( j ) f ( u ( 2 n + 2 j ) ) = 1 Γ ( q ) Γ ( 1 + q ) Γ ( 2 ) f ( u ( 2 n ) + Γ ( q ) Γ ( 1 ) f ( u ( 2 n + 1 ) = 1 Γ ( q ) ( q Γ ( q ) f ( u ( 2 n ) ) + Γ ( q ) f ( u ( 2 n + 1 ) ) ) = q f ( u ( 2 n ) + f ( u ( 2 n + 1 ) ) .
Using Gautschi inequality, [25,26]
1 ( x + 1 ) 1 q Γ ( x + q ) Γ ( x + 1 ) 1 x + q 2 1 q , x 0
and considering that Γ ( x + q ) Γ ( x + 1 ) is decreasing [21], for any j N , we derive
1 ( j + 2 ) 1 q 1 ( j 1 + q 2 ) 1 q Γ ( j + 1 + q ) Γ ( j + 2 ) Γ ( j 1 + q ) Γ ( j ) < 0 .
On the other hand, for any 0 < x < y , we have
1 x 1 q 1 y 1 q = θ [ x , y ] ( 1 q ) ( y x ) θ 2 q 0 < 1 x 1 q 1 y 1 q ( 1 q ) ( y x ) x 2 q ,
where θ [ x , y ] follows from the mean value theorem. Applying (25) to (24), we obtain
( 1 q ) ( 3 q 2 ) ( j 1 + q 2 ) 2 q Γ ( j + 1 + q ) Γ ( j + 2 ) Γ ( j 1 + q ) Γ ( j ) < 0 .
Since
j = 1 1 j 2 q < ,
Equation (26) implies
j = 1 Γ ( j + 1 + q ) Γ ( j + 2 ) Γ ( j 1 + q ) Γ ( j ) < .
Using (17), (20), (23), (28) and taking n in (22), we arrive at (18).
We similarly have
u ( 2 n + 1 ) u ( 2 n ) = 1 Γ ( q ) j = 1 2 n + 1 Γ ( j 1 + q ) Γ ( j ) f ( u ( 2 n + 1 j ) ) 1 Γ ( q ) j = 1 2 n Γ ( j 1 + q ) Γ ( j ) f ( u ( 2 n j ) ) = 1 Γ ( q ) j = 1 1 Γ ( j 1 + q ) Γ ( j ) f ( u ( 2 n + 1 j ) ) + 1 Γ ( q ) j = 1 2 n Γ ( j + q ) Γ ( j + 1 ) Γ ( j 1 + q ) Γ ( j ) f ( u ( 2 n j ) ) .
Next, we have
1 Γ ( q ) j = 1 1 Γ ( j 1 + q ) Γ ( j ) f ( u ( 2 n + 1 j ) ) = 1 Γ ( q ) Γ ( q ) Γ ( 1 ) f ( u ( 2 n ) ) = f ( u ( 2 n ) ) .
For any j N , we derive
1 ( j + 1 ) 1 q 1 ( j 1 + q 2 ) 1 q Γ ( j + q ) Γ ( j + 1 ) Γ ( j 1 + q ) Γ ( j ) < 0 .
Applying (25) to (31), we obtain
( 1 q ) ( 2 q 2 ) ( j 1 + q 2 ) 2 q Γ ( j + q ) Γ ( j + 1 ) Γ ( j 1 + q ) Γ ( j ) < 0 .
Again by (27), Equation (32) implies
j = 1 Γ ( j + q ) Γ ( j + 1 ) Γ ( j 1 + q ) Γ ( j ) < .
Using (17), (20), (30), (33) and taking n in (29), we arrive at (19). The proof is finished. □
Remark 3.
(i) If (18) and (19) hold, then it does not mean that there is an orbit of (2) satisfying (17).
(ii) 
Asymptotic property (17) can be weakened to
lim sup n | u ( 2 n ) a | 0 , lim sup n | u ( 2 n + 1 ) b | 0 .
Thus, we consider approximative asymptoticity. Then, “=” is replaced to “∼” in (18), (19), (38) and (39). Therefore, these equations are robust in some sense.
(iii) 
When q = 1 in (2), then we have the iteration
u ( n + 1 ) = u ( n ) + f ( u ( n ) ) ,
which is given by the map
u u + f ( u ) .
Equations (18) and (19) become
0 = f ( a ) + f ( b ) , b a = f ( a ) .
Notifying
u ( 1 ) = u ( 0 ) + f ( u ( 0 ) ) , u ( 2 ) = u ( 1 ) + f ( u ( 1 ) )
for a = u ( 0 ) and b = u ( 1 ) , the second equation of (36) is only the first of (37), while the first equation of (36) has the form
u ( 0 ) = u ( 0 ) + f ( u ( 0 ) ) + f ( u ( 1 ) ) = u ( 1 ) + f ( u ( 1 ) ) = u ( 2 ) .
Consequently, for q = 1 , (18) and (19) are equations for 2-periodic orbits of the map (35). Thus, (18) and (19) are extensions of possible asymptotic 2-periodic orbits of (37) for q ( 0 , 1 ) .
Consider now the case of the F O M map f ( u ) = u 2 + c . From (18) and (19), one has
0 = q + 1 Γ ( q ) k = 1 Γ ( 2 k + 1 + q ) Γ ( 2 k + 2 ) Γ ( 2 k 1 + q ) Γ ( 2 k ) ( a 2 + c ) + 1 + 1 Γ ( q ) k = 1 Γ ( 2 k + q ) Γ ( 2 k + 1 ) Γ ( 2 k 2 + q ) Γ ( 2 k 1 ) ( b 2 + c )
and
b a = 1 + 1 Γ ( q ) k = 1 Γ ( 2 k + q ) Γ ( 2 k + 1 ) Γ ( 2 k 1 + q ) Γ ( 2 k ) ( a 2 + c ) + 1 Γ ( q ) k = 1 Γ ( 2 k 1 + q ) Γ ( 2 k ) Γ ( 2 k 2 + q ) Γ ( 2 k 1 ) ( b 2 + c ) .
For example, considering (38) and (39) for q = 0.75 with c = 1.15481 + 0.102204 ı chosen in the “had” of the F O M set (red point in Figure 4a), and the summations from k = 1 to k = 80 , one obtains the following system:
0.228959 ( a 2 1.15481 + 0.102204 ı ) + 0.229315 ( b 2 1.15481 + 0.102204 ı ) = 0 , 0.709172 ( a 2 1.15481 + 0.102204 ı ) 0.479857 ( b 2 1.15481 + 0.102204 ı ) = b a
with the following solutions;
a = 1.07567 0.0475071 ı , b = 1.07567 0.0475071 ı ; a = 1.07567 + 0.0475071 ı , b = 1.07567 + 0.0475071 ı ; a = 0.168154 0.075887 ı , b = 1.51364 + 0.075887 ı , a = 1.51495 + 0.075887 ı , b = 0.166848 0.075887 ı .
The first two solutions are fixed points
a = b = ± c = ± 1.15481 + 0.102204 ı = ± ( 1.07567 0.0475071 ı ) .
These fixed points are unstable since c = 1.15481 + 0.102204 ı S 0.75 (see red point in Figure 4a), being outside S q (see Section 2.1 and Figure 3c).
The last two solutions present possible asymptotic 2-periodic approximate solutions corresponding to q = 0.75 and c = 1.15481 + 0.102204 ı . So, if one iterates the system with these data ( q = 0.75 and c = 1.15481 + 0.102204 ı ), one obtains the asymptotic 2-periodic solution with the time series presented in Figure 4b, which corresponds to the fourth rectangle solution. As can be seen from figure, the real component of the solution u (red plot in Figure 4b) oscillates asymptotically between the real component of a and b, respectively, while the imaginary component of the solution oscillates asymptotically between the imaginary components of a and b, respectively (blue plot in Figure 4b). In the parametric plane c, over the F O M set, the asymptotic 2-periodic cycle visiting the two points a and b is overplotted in green (transients removed). The grey plot connects the cycle elements.
In addition, another interesting characteristic, shown here only numerically, is the property of all points c within the “head” of the F O M set which generate asymptotic 2-periodic solutions (compare with the IO Mandelbrot set, where the points c within the “head” generate stable 2-period cycles).

3. Conclusions

In this paper, some results on the stability of the fixed points of the complex Mandelbrot map of fractional order are analyzed, and the non-periodicity for fractional differences of Caputo’s sense, exemplified in the case of the Mandelbrot set of fractional order, is studied. A possible future direction of research would be to extend this study of non-periodicity to other types of fractional differences such as Riemann–Liouville and Grundwald–Letnikov complex fractional differences. Another new direction would be to consider quaternion numbers instead of complex ones, i.e., quaternion fractional differences on H instead of complex fractional differences on C .

Author Contributions

Conceptualization, M.-F.D.; methodology, M.-F.D.; software, M.-F.D.; validation, M.F.; formal analysis, M.-F.D. and M.F.; investigation, M.F. and M.-F.D.; writing—original draft preparation, M.-F.D.; writing—review and editing, M.-F.D. and M.F.; visualization, M.F.; supervision, M.-F.D. and M.F. All authors have read and agreed to the published version of the manuscript.

Funding

M.F. is partially supported by the Slovak Research and Development Agency under the contract No. APVV-18-0308 and by the Slovak Grant Agency VEGA No. 1/0358/20 and No. 2/0127/20.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Data supporting the reported results can be acquired from the corresponding author M.-F.D.

Acknowledgments

We thank the reviewers for their valuable comments which improved our paper.

Conflicts of Interest

The authors declare no conflict of interest.

Appendix A

Figure A1. The code is set to draw the F O M set in B-W, and it can be improved such that the speed is increased and colors are enhanced. To obtain the enlarged versions of some parts of the F O M set, the underlying corners must be modified (see https://www.mathworks.com/matlabcentral/fileexchange/121632-fo_mandelbrot).
Figure A1. The code is set to draw the F O M set in B-W, and it can be improved such that the speed is increased and colors are enhanced. To obtain the enlarged versions of some parts of the F O M set, the underlying corners must be modified (see https://www.mathworks.com/matlabcentral/fileexchange/121632-fo_mandelbrot).
Fractalfract 07 00068 g0a1

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Figure 1. Four Mandelbrot sets of FO: (a) q = 1 × 10 15 ; (b) q = 0.25 ; (c) q = 0.75 ; (d) q = 1 .
Figure 1. Four Mandelbrot sets of FO: (a) q = 1 × 10 15 ; (b) q = 0.25 ; (c) q = 0.75 ; (d) q = 1 .
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Figure 2. Local asymptotic stable regions of u ± , upper for u + , lower for u (see (5) and (6)).
Figure 2. Local asymptotic stable regions of u ± , upper for u + , lower for u (see (5) and (6)).
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Figure 3. Local asymptotic stable regions S q of fixed points (4) and of the fixed point of the Mandelbrot map of IO ( 1 1 4 c ) / 2 : (a) S 1 × 10 15 ; (b) S 0.25 ; (c) S 0.75 (d) Overplotted S 1 (for q = 1 ) and the asymptotic stable region of the Mandelbrot map of integer order S I O .
Figure 3. Local asymptotic stable regions S q of fixed points (4) and of the fixed point of the Mandelbrot map of IO ( 1 1 4 c ) / 2 : (a) S 1 × 10 15 ; (b) S 0.25 ; (c) S 0.75 (d) Overplotted S 1 (for q = 1 ) and the asymptotic stable region of the Mandelbrot map of integer order S I O .
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Figure 4. Asymptotic 2-periodic cycle of the F O M map for q = 0.75 and c = 1.15481 + 0.102204 ı (red point): (a) Asymptotic 2-periodic cycle (green) overplotted over the F O M set; (b) Time series of the solution u, after 100 iterations: real component (red) and imaginary component (blue).
Figure 4. Asymptotic 2-periodic cycle of the F O M map for q = 0.75 and c = 1.15481 + 0.102204 ı (red point): (a) Asymptotic 2-periodic cycle (green) overplotted over the F O M set; (b) Time series of the solution u, after 100 iterations: real component (red) and imaginary component (blue).
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Fečkan, M.; Danca, M.-F. Non-Periodicity of Complex Caputo Like Fractional Differences. Fractal Fract. 2023, 7, 68. https://doi.org/10.3390/fractalfract7010068

AMA Style

Fečkan M, Danca M-F. Non-Periodicity of Complex Caputo Like Fractional Differences. Fractal and Fractional. 2023; 7(1):68. https://doi.org/10.3390/fractalfract7010068

Chicago/Turabian Style

Fečkan, Michal, and Marius-F. Danca. 2023. "Non-Periodicity of Complex Caputo Like Fractional Differences" Fractal and Fractional 7, no. 1: 68. https://doi.org/10.3390/fractalfract7010068

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