Chimeras-States in the Distributed Systems in the Case of Multi-Valued
Solutions. To the Statement of Possible Research Problems
ALEXANDER MAKARENKO
Institute of Applied System Analysis
National Technical University of Ukraine
Kiev Politechnic Institute
Prospect Peremogy 37, building 35, 03056, Kyiv-56,
UKRAINE
Abstract: - Nonlinear science has about a hundred years of rapid development. One of the new directions is the
study of chimera solutions, i.e. solutions that exhibit significantly different solution behaviour in different
regions of space or time. Just a few examples of such behavior have been studied in different systems.
However, all examples of chimeras have been single-valued solutions. Recently, however, many nonlinear
models of physical and social phenomena have multivalued solutions. It is conceivable that one of the possible
directions for further research in chimera science is to allow multivalued solutions to be considered.
The paper is devoted to describing some possible research settings in this area. Some modifications of existing
models are also proposed. The interesting class of such objects is the models with strong anticipation (models
with advanced arguments). Furthermore, some problems of computational theory and mind with such models
are discussed.
Keywords: - Chimeras, distributed systems, multi-valuednes strong anticipation, computation theory
Received: January 2, 2023. Revised: October 11, 2023. Accepted: November 14, 2023. Published: December 11, 2023.
1 Introduction
Complexity and synchronization phenomena in
technical and natural systems have recently become
one of the key topics for investigation in
philosophy, physics, humanities, and biological
sciences. The reason is the globalization of
processes, hierarchical structures with many levels,
interconnections between elements, existence of
many sub-processes with different time and space
scales.
Synchronization theory has a history of about two
centuries and a more or less well-defined list of
topics [1-4]. Usually, the objects of synchronization
research are collections of elements with internal
dynamics, with a set of boundaries between
elements and types of behavior in such systems.
The recent development of theory and practice in
the field of synchronization has many different
ways. Usually, the nature of a specific field of
investigation follows the specific new research
problems and new objects. One of the most recent
examples is
One of the new, rapidly developing
directions in nonlinear science is the study of so-
called chimeras as solutions of nonlinear equations.
Roughly speaking, these are solutions of distributed
systems with coherent and incoherent behavior of
solutions in different regions of space. This behavior
of solutions was first discovered in computer
experiments and described in the paper [5]. The
actual name of such solutions, "chimera", appeared
a little later in [6]. Since then, the flow of
publications on this topic has been steadily
increasing, e.g. in Physical Review, Nonlinearity,
Chaos, etc., as well as in the proceedings of many
conferences. The current state of the art is reflected
in the papers of the Dresden conference on chimeras
in May 2022 [7].
Much of the research on chimeras has been
based on the study of initial equations and various
aspects of their behavior. In addition, new sources
of chimera solutions have been explored, especially
in the context of new applications. Some (far from
complete) insights into new applications may be
proposed- for example in neuroscience [8-10]. One
of the research directions has also been the
transition from one-dimensional (1D) to two-
dimensional (2D) and then to three-dimensional
EQUATIONS
DOI: 10.37394/232021.2023.3.15
Alexander Makarenko
E-ISSN: 2732-9976
125
Volume 3, 2023
(3D) systems [11]. We should also mention the
studies on the system of oscillators, taking into
account the inertia [12]. Note that for further studies
of chimeras in systems with inertia, studies on
hydrodynamics with memory can be useful [13]. In
this case, the 'bursts' in the flows can be considered
as the chimeras.
In all cases of studies of chimeras so far, objects
with single-valued solutions (o.d.e., chains of
mappings, chains of oscillators, etc.) have been
considered. This is while that most models for many
different processes have only ONE-valued solutions.
However, it is now becoming increasingly clear that
one should also consider cases where model
solutions for processes have MULTIPLE-valued
solutions. Without giving a special survey here, let
us mention some areas where the study of
multivaluedness is important: mechanical systems
with friction, the Everett interpretation in quantum
mechanics, underdetermined systems, controlled
systems, some models of hydrodynamics, etc. Note
also the possibility of multivaluedness in systems
with strong anticipation - called hyperincursion [14,
15].
Much of the research on chimeras was based on the
study of initial equations and various aspects of their
behavior. In addition, new sources of chimera
solutions have been explored, especially in the
context of new applications. Some insights (far from
complete) into new applications - for example in
neuroscience [8-10]. One of the research directions
has also been the transition from one-dimensional
(1D) to two-dimensional (2D) and then to three-
dimensional (3D) systems [11]. We should also
mention the studies on the system of oscillators,
taking into account the inertia [12]. Note that for
further studies of chimeras in systems with inertia,
studies on hydrodynamics with memory can be
useful [13]. In this case, the 'bursts' in the flows can
be considered as the chimeras.
In all cases of studies of chimeras so far, objects
with single-valued solutions (o.d.e., chains of
mappings, chains of oscillators, etc.) have been
considered. This is because the models for many
different processes have only ONE-valued solutions.
However, it is now becoming increasingly clear that
one should also consider cases where model
solutions for processes have MULTIPLE-valued
solutions. Without giving here a special review, let
us mention some areas where the study of
multivaluedness is important: mechanical systems
with friction, Everett interpretation in quantum
mechanics, underdetermined systems, controlled
systems, some models of hydrodynamics, etc. Also
note the possibility of multiple-valuedness in
systems with strong anticipation (anticipation) -
called hyperincursion [14, 15].
2. General Distributed Media With
Anticipation
Many more models can be proposed for the case of
considering continuous media with some kind of
anticipation. The simplest variant is when only the
nonlinear source
)(uf
in the equations of such
media (where
),( txu
is field value) has anticipatory
property, i.e.
)),(),,((
1
txutxuff
in the simplest
case or
in more
complex case. An example of such a model is the
parabolic diffusion equation with such a non-linear
source. As an example of such a system, we can
propose models with continuous variables of
neuronal activation fields (counterparts of the well-
known models of Amari or H. Wilson & J. Cowan).
Note that much more complex and developed
models of such phenomena are the counterparts of
the well-known [13] rigorous models of media with
non-locality and memory in theoretical physics-
Note for illustration that in the case of discrete-time
equations with strong anticipation, they have the
form: (D. Dubois [14]) "The definition of a discrete
system with strong anticipation: it is a system which
calculates the current state at time t as a function of
past states,
1,2,3 ttt
, the present state and the
state in the future
,3,2,1 ttt
.
( 1) ( , ( 2), ( 1),
( ), ( 1), ( 2), )
x t f x t x t
x t x t x t

, (1)
where the variation in future time is computed
indirectly from the equation.
3. Towards 'Chimera' States In
Anticipatory Systems
Another promising topic for investigation in the
field of synchronization is the analog of 'chimera'
states in the case of anticipating systems. Recall that
'chimera' states are highly inhomogeneous transitive
solutions when different types of behavior coexist in
space [5-12].
The 'chimera' states are the solutions in chains of
elements or in distributed media that have different
behavior in different domains of space. For
example, such systems may have coexisting
EQUATIONS
DOI: 10.37394/232021.2023.3.15
Alexander Makarenko
E-ISSN: 2732-9976
126
Volume 3, 2023
domains of chaotic and 'smooth' behavior at
different locations in space. One of the discrete
systems with putative 'chimeras' is the following [5-
12]
Pi
Pij
t
i
tj
t
i
t
izfzf
P
zfz )]()([
2
)(
1
(2)
The next example is the chain of oscillators:
.
() 1
2
sin[ ( ) ( ) ]
kR
k
j k R
kj
dt
dt R
tt



(3)
The next general examples with 'chimera' states are
the following: It is accepted that the main source for
the existence of 'chimera' states is the non-locality in
the equations. Note that the nonlocality described in
[5] essentially extends the cases with the presumed
origin of 'chimeras'. The possibilities of 'chimeras' in
systems with anticipation are new [15]. As
examples, we should mention the possibilities of
'multivalued chimeras', the coexistence of different
'chimeras' on different branches of multivalued
solutions, a coexistence of 'chimeras', and 'smooth'
behavior in different branches of the solution. As
one of the presumed basic systems with anticipation
for the study of 'chimeras', we can propose the next
one:
1
1
11
(1 )[ ( )
[ ( )
2
( )]]
[ ( ) 2
[ ( ) ( )]]
tt
ii
tj
iP
j i P t
i
iP
t
ij i P
tt
ji
z f z
fz
Pfz
fz P
f z f z



(4)
The next example is the chains of anticipatory
oscillators:
() (1 )
2
sin[ ( ) ( ) ]
2
sin[ ( ) ( ) ]
kR
k
j k R
kj
kR
j k R
kj
dt
dt R
tt
R
tt



(5)
Note that more general examples with 'chimera' states
can also be proposed.
4. Possible Problems With
Chimeras In The Multivalued Case
As mentioned above, an example of systems with
multivalued solutions are systems with strong
anticipation. Therefore, here we will illustrate some
of the possible problem formulations in the field of
chimera research. Such systems have been studied
previously for models of cellular automata [16],
neural networks [17], and discrete dynamical
systems [18]. The figure below shows a schematic
case of multivalued solutions in the one-dimensional
case in space. On the horizontal axis the discrete
time moments are plotted (for discrete dynamical
systems). On the vertical axis, the states of
considered system X at discrete time steps are
conditionally plotted. For example, for a system of
N-connected one-dimensional elements, a point
corresponds to an N-dimensional vector. For
cellular automata, a values corresponds to the so-
called configuration of the automaton at given
moment of time (configuration is the representation
of states of all cells of cellular automata).
FIGURE 1: Plurality of system states during
evolution
1
2
3
t
X
0
EQUATIONS
DOI: 10.37394/232021.2023.3.15
Alexander Makarenko
E-ISSN: 2732-9976
127
Volume 3, 2023
The thin lines correspond to the branches of the
multi-valued solution. The thick line corresponds to
the selection of a single-valued solution. For
systems described by differential equations, the
point can correspond to an infinite dimensional
object.
Because of the possible multivaluedness of the
solutions, we can propose the new problem
formulations in the field of chimera research.
1. Computational studies of models with
multivalued solutions, where the appearance of one-
dimensional analog can be expected. It should be
assumed that such studies are the first necessary
steps in the study of chimeras in the multivalued
case (let us call them multivalued chimeras). Even
in this case, many difficult problems arise, even for
one-dimensional systems, and, for example, in the
visualization of computational results.
Theoretically, there is the problem of a strict
definition of multivalued chimeras. This also raises
the problem of introducing indices that can be used
to check multivalued solutions for the presence of
chimeras. The inverse problem may also be of
interest, i.e. finding the models and initial conditions
that can generate chimeras with specific
deactivation properties.
3. The next set of problems arises in the study of the
peculiarities of multi-valued solutions, namely the
existence of different branches of the solution. One
of the first interesting problems is whether different
chimeras can occur on different branches of a
multivalued solution. For example, this leads to the
question of can the chimeras exist on some branches
and not on others.
4. The possible multivaluedness of chimeras leads to
unexpected problems at the interface of nonlinear
science and computational theory. Namely, can
chimeras be used in computational theory to
emulate logical operations, and independently on
different branches?
5. Conclusion
Thus, in the given paper we propose to consider the
problem of complex behavior and synchronization
for a new class of objects, namely for chains and
networks with presumed multivaluedness (e.g. for
systems with strong anticipation). The assumed
multivaluedness of the solutions leads to new
interesting properties within the framework of
existing concepts. However, new properties may
also emerge (e.g. non-heterogeneous multivalued
synchronization) which are very promising for
further research. There is also a need for
applications of multivalued analogs of groups,
geometries, and symmetries of multivalued objects,
including multivalued flows and semi-flows, and
methods of operator theory. Also new may be the
consideration of blow-up solutions in multivalued
cases, including blow-up of selected branches of the
solution.
We have described only the first results of
investigations and only some new presumed forms
of research problems. However, the obvious
mathematical novelty of the proposed problems and
the probable great importance in applications (e.g. in
social systems, computation, signal processing
theory, consciousness research, etc.) lead to the need
for further development of the investigations.
Acknowledgements.
The author thanks Yu. Maistrenko for the detailed
description of the investigations in the field of
'chimera' states.
References.
[1]. D. Nolte, (2015). Introduction to Modern Dynamics: Chaos,
Networks, Space and Time. Oxford University Press.2015
[2]. VA. Pikovsky, M. Rosenblum, Sinchronization
http://www.scholarpedia.org/article/Synchronization 2023.
[3]. M. Ponce, C. Masoller, A.C. Marti. Synchronizability of
chaotic logistic maps in delayed complex networks // Eur.
Phys. Journal. - 2009. Ser. B. - B67. - P. 83-93.
[4]. Weiwei Wang, Jindle Cao, Synchronization in an array of
linearly coupled networks with time-varying delay // Physica
A. - 2006. - 366. - P. 197-211.
[5]. Y. Kuramoto, D. Battogtokh. Coexistence of coherence and
in coherence in nonlocalized coupled phase oscillators //
Nonlinear Phenomen Complex Systems. 2002. Vol. 5, pp.
380-385.
[6]. , D. Abrams, S. Strogatz. Chimera states for coupled
oscillators // Phys. Rev. Letters. - 2004. - 93. - P. 174102-
174105.
[7]. Workshop "Chimera States: From Theory and Experiments
to Technology and Living Systems" 16-20 May 2022.
Dresden, Max Planck Institute for Complex Systems
Physics. https://www.pks.mpg.de/
[8]. I. Omelchenko. The mathematics behind the chimera.
Nonlinearity, 2018. Vol. 31, No. 5. Pp. R121.
[9]. E, Scholl. Chimeras in physics and biology: Synchronization
and desinchronization of rhythms. Nava Acta Leopoldina,
2020. Vol. 425, pp. 67-95.
[10]. I. Omelchenko., Yu. Maystrenko, P.E. Hovel, E. Schöll.
Loss of coherence in dynamical networks: Spatial chaos and
chimera states // Phys. Rev. Letters. 2011 106.
P. 234102.
[11]. Yu. Maystrenko., O. Sudakov., O. Osiv., V. Maistrenko
073037. Chimera states in three dimensions. New. J. of
Physics. 2015. Vol. 17, 3 D
[12]. V. Maistrenko., O. Sudakov., Yu. Maistrenko Spiral wave
chimeras for coupled oscillators with inertia. Eur. Phys. J.
Spec. Top. 2020. Vol. 229. Pp. 2327 – 2340.
[13]. A. Makarenko, S. Skurativskyi., V. Vladimirov. Hyperbolic
hydrodynamics with memory. Models and solutions On the
memory of V. A. Danylenko, who was the initiator of
investigations Lambert Academic Publishing, 2021. 320 p
[14]. D. M. Dubois. Anticipative, Incursive and
Hyperincursive Discrete Equations for Simulation-Based
EQUATIONS
DOI: 10.37394/232021.2023.3.15
Alexander Makarenko
E-ISSN: 2732-9976
128
Volume 3, 2023
Cyber-Physical System Studies, November 2020. In book:
Simulation for Cyber-Physical Systems Engineering
[15]. Daniel M. Dubois Generation of fractals from incursive
automata, digital diffusion and wave equation systems //
BioSystems. — 1997. — 43. — P. 97–114.
[16]. A. Makarenko. Systems and models with anticipation in
physics and applications. Journal of Physics: Conference
Series. 2012. vol. 394(1), 012026, 6 p.
[17]. A. Makarenko. Cellular automata with strong anticipation:
contribution to modeling, computation and automata theory.
Proc. 28 Int. Conf. on System Research, Informatics and
Cybernetics, Vol. I. Baden-Baden, Germany, August 2016.
Pp.33-35
[18]. A. Makarenko. Anticipating in modeling of large social
systems - neuronets with internal structure and
multivaluedness // International Journal of Computing
Anticipatory Systems. — 2002. — 13. — P. 77–92.
[19]. A. Makarenko., A. Stashenko. Some two- steps discrete-time
anticipatory models with boiling‘ multivaluedness. AIP
Conference Proceedings, vol.839, Computing Anticipatory
Systems CASYS Seventh Int. Conf. Liege, Belgium,
August 2005, ed. Daniel M. Dubois, USA, pp.265-272.
EQUATIONS
DOI: 10.37394/232021.2023.3.15
Alexander Makarenko
E-ISSN: 2732-9976
129
Volume 3, 2023
Contribution of Individual Authors to the
Creation of a Scientific Article (Ghostwriting
Policy)
The author contributed in the present research, at all
stages from the formulation of the problem to the
final findings and solution.
Sources of Funding for Research Presented in a
Scientific Article or Scientific Article Itself
No funding was received for conducting this study.
Conflict of Interest
The author has no conflict of interest to declare that
is relevant to the content of this article.
Creative Commons Attribution License 4.0
(Attribution 4.0 International, CC BY 4.0)
This article is published under the terms of the
Creative Commons Attribution License 4.0
https://creativecommons.org/licenses/by/4.0/deed.en
_US