The so-called Abelian sandpile model has been studied by scientists for more than 30 years to better understand a physical phenomenon called self-organized criticality, which appears in a plethora of real-life situations such as the coordinated firing of brain cells, the spread of forest fires, the distribution of earth quake magnitudes and even in the coordinated behavior of ant colonies. Even though the sandpile model serves as the archetypical model to study self-organized criticality, questions about its characteristics are still open and remain an active field of research.

Moritz Lang and Mikhail Shkonikov from the Institute of Science and Technology Austria (IST Austria) have now discovered a new property of this mathematical model: by adding sand grains in a specific manner to the sandpile, they induce dynamics reminiscent of the emergence, movement, collision and disappearance of sand dunes in the Gobi or the Namib desert. Different to real-world sand dunes, however, the dunes in their work — which is published in the current issue of *PNAS* — are composed of self-similar fractal patterns, somewhat similar to the famous Mandelbrot set.

The rules of the “sandpile experiment” are fairly simple: The model essentially consist of a grid of quadratic fields, similar to a checkerboard, onto which sand grains are dropped randomly. Fields that end up with less than four grains of sand remain stable, but when more grains accumulate on a field, the field becomes unstable and “topples.” In such a “toppling,” four grains of sand are passed on to the four neighboring fields: one to the top, one to the bottom, one to the left, and one to the right. This might cause the neighboring fields to also become unstable and topple, which then in turn may cause the next neighbors to topple and so on — an “avalanche” emerges. Similar to real-world avalanches in the Alps, these “sandpile avalanches” have no characteristic size, and it is extremely challenging to predict if the next sand grain will cause a huge avalanche, or nothing at all.

While, due to the simplicity of these rules, the sandpile model is regularly used as an easy example in elementary programming courses, it nevertheless displays various mathematical and physical phenomena still unexplained today — despite more than 30 years of extensive research. Among the most fascinating of these phenomena is the appearance of fractal sandpile configurations. These fractal sandpiles are characterized by repetitive and self-similar patterns where the same shapes appear over and over again, but in smaller and smaller versions. The occurrence of these fractal patterns has yet evade any mathematical explanation. While the researchers at IST Austria could also not solve this mathematical riddle, they rendered this phenomenon even more mysterious by showing that these fractal patterns can seemingly continuously transform into one another: They were able to produce movies in which the fractal patterns display dynamics which are, depending on the background of the observer, either reminiscent of the movement of real-world sand dunes, or of “psychedelic movies” characteristic for the 70’ies.

Not solving a mathematical question but only making it appear to be even more mysterious might at first sight not seem to be the ideal outcome. However, the two scientists — Moritz Lang who is a postdoc in the research group of Professor Calin Guet, and Mikhail Shkonikov, a postdoc in the group of Professor Tamas Hausel — believe that their “psychedelic movies” might be the key to a better understanding of the sandpile model, and maybe also of many other physical, biological or even economical problems. “You could say that we have found universal coordinates for the sandpile,” say Mikhail Shkonikov, “essentially, we can give every sand dune in the desert a very specific identifier.” Moritz Lang, who is a theoretical biologist, adds: “the key to understand any physical or biological phenomenon is to understand its consequences. The more consequences we know, the harder it becomes to develop a scientific hypothesis which is in agreement with all those consequences. In that sense, knowing all possible sand dunes and how they move represents a lot of constraints, and we hope that, in the end, this will remove sufficient hay from the stack such that we can find the needle.”

The two researchers see many applications of their theoretical work to real-world problems like the prediction of earthquake magnitudes, the functioning of the human brain, physics, or even economics: “In all these fields, we find haystacks which look similar, very similar. Maybe it turns out that all haystacks are the same, and that there is only one needle to find.”

Moritz Lang finished his PhD at ETH Zürich in spring 2015 with a thesis entitled “Modular identification and analysis of biomolecular networks.” He joined IST Austria in August 2015. Mikhail Shkonikov obtained his PhD from the University of Geneva and joined IST Austria in 2017.

**Source:**

**Institute of Science and Technology Austria**. *.*