## I. Personal motivations

This paper is the result of discussions between artist Tamás Farkas (T.F.) and natural scientist Péter Érdi (P.E.) on the principles of organization of forms. These discussions were motivated by the works of T.F., who for a decade has been exploring the principles of organization and trying to realize his ideas in artworks using various techniques.

The main intention of T.F. is to construct ’impossible’ continuous forms by connecting the constituent elements in a logical manner. The term ’impossible’ refers to the fact that most of these structures are impossible to realize in three dimensions. They may be visualized in a more-than-three-dimensional space, however, by certain mental procedures.

The unusual appearance of these highly complex structures resuits from the obvious conflict between the plane and the quasi-plastic forms of the plane on one hand, and the unification of different views on the other.

We hold M. C. Escher in high regard for the logical clarity as well as
aesthetic value of his works. In analyzing Escher’s works, Tormey and Tormey^{1}
claim that impossible visual images are not truly ambiguous; rather,
they are the visual analogues of the familiar paradoxes of logic and language.
We agree with the approach of D’Amore: “Escher in some of his pictures,
for example of flying fish and of structures and interlocking shapes, makes
it impossible for one to define their organization of order”.^{2}

^{1}J. F. TORMEY and A. TORMEY: Art and Ambiguity. = Leonardo**16**, 183–187. p. (1983).^{2}B. D’AMORE: Visual Art and Mathematics: Common Characteristics of Order. = Leonardo**14**, 230–231. p. (1981).

T.F. has been influenced not only by Escher but by such artists as Kaspar Thomas Lenk, Joseph Albers, Frank Stella and Max Bill, all of whom were interested in investigating the relationships between space and forms.

T.F., although born in the same country as the celebrated artist Victor Vasarely, has attempted to find a different pathway and has consciously abstained from the use of spectacle in his art.

The works of T.F. have aroused greater interest in Hungary among scientists than among professional artists. P.E. believes that T.F.’s graphics induce emotional effects in people interested in the study of structures and in processes leading to the formation of such structures at different levels of hierarchy. Our feeling is that experts in other disciplines, such as crystallography, structural chemistry, theory of phase transitions and critical phenomena, morphogenetics, theory of cell automata, theory of dynamic systems and synergetics, may consider the works of T.F. to have a heuristic power in science, in addition to their aesthetic value.

We wish to discuss some general scientific concepts we believe relevant to the reception and acceptance (however intuitive) of these works. We emphasize that our comments are subjective associations with, and are not claimed to be a ’theoretical explanation’ of, the artist’s work.

## II. Structures and attractors

Macroscopic structures are often categorized into static and dynamic structures. The distinction is made on the basis of the relative magnitude of internal and external interactions.

Static structures, being invariant (at least in principle) as time elapses, are maintained by large interacting forces among the constituent elements. Such structures are quite indifferent to minor environmental effects, while they generally react to major ones with complete collapse.

Dynamic structures are maintained by their permanent interaction with
their environment. Smoke and flame are celebrated examples of dynamic structures
in the inorganic world, and some aspects of life may be approached by means
of this concept. The distinction between static and dynamic structures is,
however, rather arbitrary. As Haken emphasized “…structures must not be
looked at as given but as evolving…”.^{3}

^{3}H. HAKEN: Synergetics: Formation of Ordered Structures out of Chaos. = Leonardo**15**, 66–67. p. (1971).

The concept of dynamic structures embodies two features. First, systems are made up of a complex hierarchy of smaller and larger structures and patterns in which ’things’ are self-maintaining features of certain flows. (The term ’flow’ is used in the spirit of Heraclitus [540–480 B.C.].) Second, flow-patterns and structures can undergo sudden transitions to new self-maintaining arrangements that will stabilize over time.

The main characteristic of dynamic structures—i.e. motion-may be visualized
by traces or, technically speaking, by trajectories. In a somewhat restricted
sense, dynamic structures are considered the ’final states’ of certain processes.
More technically, the quasi-permanent forms ultimately generated may be
identified as the *attractors* of some motion. Loosely speaking, an
attractor is a subset of the phase space of a dynamic system that ’attracts’
phase points from other regions of phase space into the basin of the attractor.^{4}

The (equilibrium) point and the closed curve (such as limit cycle and
tori) are simple attractors. A new class of *strange attractors* is
currently in the focus of theoretical research. They have been extensively
investigated in connection with chaotic phenomena.^{5}
^{6} They have a particular
topology, to some extent similar to that of the Moebius strip and the Klein
bottle, as illustrated in the graph of a numerical solution of the so called
Lorenz model^{7} showing the motion of a point in
three-dimensional phase space (Figure 1).

^{4}The term ’phase space’ originally comes from the theory of statistical mechanics. A physical particle is characterized not only by the three spatial coordinates, but also by the three coordinates of impulse. Using the approach of classical physics we may say that a particle moves in a six dimensional Euclidian phase space. Mathematics generalized the notion of phase space. In this generalized sense phase spaces are the natural frameworks of the temporal evolution of structures, while trajectories visualize the actual motion.^{5}E. OTT: Strange Attractors and Chaotic Motion of Dynamical Systems. = Review of Modern Physics**53**, 655–671. p. (1981).^{6}H. HAKEN (ed.): Chaos and Order in Nature (Berlin: Springer, 1981).^{7}E. N. LORENZ: Deterministic Nonperiodic Flow. = Journal of Atmospheric Science**20**, 130–141. p. (1963).

Linear dynamic systems tend to move toward an equilibrium point. Closed
curves are more complex attractors and in two-dimensional systems may lead
to limit cycle behavior. In three-dimensional (also continuous) systems
strange attractors may also occur. Actually it is generally accepted that
“…simple mathematical models may exhibit very complicated dynamics…”.^{8}

^{8}R. MAY: Simple Mathematical Models with Very Complicated Dynamics. = Nature**261**, 459–467. p. (1976).

It is likely that dynamic systems of more than three dimensions may lead to very complex dynamic behavior and attractors even in cases of slight nonlinearities. We suggest that T.F.’s continuous forms may help to visualize high-dimensional attractors.

## III. Self-organization

T.F.’s research (the use of the expression ’research’ seems justified, since artistic production can be the result of some systematic, logical activity) has been progressing along two main directions. Most of the graphics presented here (Figures 2–7) belong to the first direction, each being a continuous form with no ’visible’ elementary constituents. They have a ’holistic’ character, i.e. any arbitrary point in the structure has the same importance as any other. The color plate image represents the second direction of T.F.’s research, the cooperative organization of discrete entities. In many cases the properties of a system composed of many elements and subsystems do not simply represent a superimposition of the properties of the individual constituents. Through the interaction of the subsystems new qualities arc produced in the total system. This kind of interaction may result in spatial, temporal and spatio-temporal patterns on a macroscopic scale in an entirely self-organized way, as suggested by the concepts of Haken’s synergetics.

Figure 2 illustrates a relatively simple continuous organization of lines. However, its structure is more complex than the celebrated Penrose triangle.

The continuous organization of lines in Figure 3 emerges as an impossible eight branched form. In the centre, a somewhat non-regular octagon can be seen. To interpret this figure one must realize that it is organized by eight different lateral views.

Figure 4 has strong spatial intensity, appearing to jump out and recede from the plane. Following the trace one can see that the system of lines describes a loop. Additionally, it is clear that the figure, organized by four different views, is ambiguous.

The same organizational principle has been adopted in Figure 5. ’David’s star’ in the centre of the figure was not the starting point, but the result of the pattern-forming procedure. The form is organized by six lateral views. The properties of the figure are similar to those established by Figure 4, but the degree of complexity is considerably higher.

A realistic spatial situation may be associated with Figure 6, and Penrose triangles considered the logical units of the organized form. The surprising visual effect of the figure is the result of the superimposition of various phenomena: spatial twisting, the interaction of small and large triangles, and self-organization of the three ’S’-forms are the main interacting factors which create the properties of the form.

The hierarchical structure of the form presented in Figure 7 is more complex than in the previous forms. Apparently, lines form prisms as intermediate ’sub’-forms. These prisms are organized by six lateral views. Rotation of the figure by 60 and 120 degrees appears to be a symmetrical operation.

This is not the proper place to fully define the term ’self-organization’.
However, one apostle of the golden age of cybernetics, Ross Ashby, argued
that since the term “…tends to perpetuate a fundamentally confused and
inconsistent way of looking at the subject, the phrase is probably better
allowed to die…”.^{9} Still, the concept of self-organization seems to be
very popular to describe the spatio-temporal development of evolving matter.^{10–12}

^{9}R. ASHBY: Principle of Self-Organizing Systems. = Van Foerster, H. – Zopf, G. W. eds., Principles of Self-Organization (Oxford: Pergamon Press, 1962) 255–278. p.^{10}M. EIGEN: Self-Organization of Matter and the Evolution of Biological Macromolecules. = Narurwissenschaften**58**, 465–523. p. (1971).^{11}G. NICOLIS–I. PRIGOGINE: SelfOrganization in Nonequilibrium Systems (New York: Wiley Interscience, 1977).^{12}E. JANTSCH: The Self-Organizing Universe (Oxford: Pergamon Press, 1980).

Self-organizing systems can be characterized by the interaction of rigid
deterministic and random effects. This is the very point at which we relate
self-organization to the graphics presented here: a family of figures could
be generated by specifying an *initial configuration* and an *algorithm*
to organize the form. Color Plate exhibits an example of the cooperative
organization of a ’chain of cells’ in different planes. Another interesting
aspect of the figure is the appearance of symmetry-breaking. Once again
we refer to Haken’s short paper: “The balance between symmetry and symmetry
breaking raises interesting questions not only in the natural sciences but
also in aesthetics …strict symmetry may be boring…”.^{13}

^{13}HAKEN: Synergetics: Formation of Ordered Structures out of Chaos. = Leonardo**15**, 66–67. p. (1971).

## IV. Dimensions

The notion of four-dimensional space has been considered mythic. Of course, the concepts of geometry can be extended to multi- as well as infinite dimensions.

The increase of mathematical knowledge does not reduce the artistic challenge
of more-than-three-dimensional figures. The three-dimensional visualization
of impossible forms has led to the recognition of some principles: two planes
may have a common point when seen from a certain point of view, although
they do not have a straight line in common in reality. Additionally, visual
paradoxes can be generated by illustrating forms lying in different depths.
Quasi-plastic forms appearing in two dimensions may be visualized through
mental processes. Theoretically, visual perception may be considered a problem
of information processing,^{14} but we intend to avoid
here both the explanations of theoretical approaches and the problem of visual
illusions.

There is no unique notion of dimension. In the familiar territory of Euclidian space, we may all be slaved to a different aspect of dimension and yet arrive at the same conclusion. But, if we venture into the realm of the bizarre, distinct notions of dimension diverge.

^{15}

^{14}D. MARR: The Vision (San Francisco: Freeman, 1982).^{15}J. D. FARMER: Information Dimension and the Probabilistic Structure of Chaos. = Order Within Chaos. Ph.D. Thesis (University of California, Santa Cruz, 1981).

Without going into technical details, we will briefly discuss phase space,
topological, fractal, information and embedding dimensions.^{16}

Phase space, as well as topological dimension, is an integer, the number
of independent real numbers needed to specify an arbitrary point. Fractal
dimensions of a set^{17} may exceed the topological dimension. When
a set (for our usage, a form) is ’simple’ (e.g. limit cycle, torus) the
fractal dimension is an integer. Cantor’s set is considered perhaps the
simplest example of non-integer fractal dimensions: “To construct Cantor’s
set, delete the middle third of a line segment, then delete the middle third
of each remaining piece, and so on. The fractal dimension is log 2/log 3…”^{18}.
Loosely speaking, strange attractors have fractal dimensions.

Geometric forms known as fractals are considered by some to be artistic
objects. “The esthetic beauty came as a total surprise. A premium”, the
mathematician Mandelbrot says. One of his former colleagues, Doug McKenna,
used fractals to create illusory shapes that could not exist in three dimensions.
Mathematician Heinz-Otto Peitgen and theoretical physicist Peter H. Richter^{19}
have produced many beautiful pictures investigating the topological
structure of certain attractors. Iterating some simple maps (using the term
in mathematical sense) by the aid of a computer leads to figures that clearly
illustrate the dichotomy between simple laws and complicated structures.

We do not wish to state explicitly that the graphics of T.F. have fractal dimensions but that the procedure of construction of some graphics is strongly similar to those leading to fractal dimensions. Of course, it is natural to question how the notion of dimension for ’impossible’ forms can be defined.

^{16}See for example J. D. FARMER: Chaotic Attractors of an Infinite-Dimensional Dynamical System. = Physica**4D**, 366–393. p. (1982).^{17}B. MANDELBROT: Fractals: Form. Chance and Dimension (San Francisco: Freeman, 1982).^{18}FARMER: Chaotic Attractors of an Infinite-Dimensional Dynamical System. = Physica**4D**, 366–393. p. (1982).^{19}H. O. PEITGEN and P. H. RICHTER: Morphologie komplexer Grenzen: Forschungsgruppe “Komplex Dynamik” (Universitat Bremen, 1984).

**Acknowledgements**—We are grateful to I. Hargittai and S. Koch
for moral support and comments on the manuscript.