Centre of Excellence in



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The Centre of Excellence (CoE) in Analysis and Dynamics Research belongs to the Centres of Excellence in Research Programme 2014–2019 of the Academy of Finland.  Its goals are

  • To develop a new culture in Finnish mathematics that encourages collaboration in pure mathematics and connects the highest level of pure mathematics with applications.
  • To renew researcher training in our fields aiming to counter early specialization of PhD students by offering them a broad education, including applications, thereby also improving their job opportunities.

The research covers a wide spectrum of mathematical analysis and its applications: dynamical systems, fractal geometry, random geometry, partial differential equations and turbulence, statistical mechanics and mathematical models of biological evolution.

Analysis and Dynamics

The modern field of dynamics emerged in the second half of the 20th century when computer simulations started to reveal the extraordinary rich phenomena present in simple dynamical models. It thoroughly transformed mathematical biology and mathematical physics as well as complex analysis. In addition, geometric measure theory was invigorated by the study of fractals. The dynamical origin of pattern formation in natural systems became the object of study of extended dynamics which employed as mathematical tools nonlinear partial differential equations. Today one of the most important applications of dynamics occurs in dynamical models of the atmosphere and climate change.

The past decade has seen a remarkable influx of probabilistic ideas in analysis and its applications. A new active field of random geometry combines ideas from mathematical physics and complex analysis in the study of random fractal curves and surfaces having their origin in physical models of magnetization, percolation and quantum gravity. Martingales and other notions from stochastics have become standard tools in harmonic analysis, a classical field which is prominent in applications. Probabilistic methods are central in the study of non-equilibrium systems where stochastic differential equations, large deviation principles and random matrix theory have played prominent roles. One of the most interesting phenomena combining both chaos and randomness is fully developed turbulence.


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