Dynamical Systems and Differential Equations
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More about dynamical systems and differential equations
About dynamical systems research
Dynamical systems are mathematical models of how things change with time.
The time evolution is deterministic in the sense that there is some law of motion, often a differential equation, that determines future states from the present state of the system. Inferring long-time behavior from the law of motion can be incredibly intricate. Simple laws can lead to overwhelming complexity of the temporal evolution, yet simple collective behavior can emerge in large complex systems.
Dynamical systems research develops and uses tools that describe, predict, and at times classify this temporal behavior, simple or complicated.
Applications
In applications, dynamical systems tools and methods inform modeling in the sciences, they enhance our understanding of phenomena, and they guide decisions in engineering and industry. Specific applications related to research in the group include:
- Space mission design.
- Melting ice sheets and global warming.
- Desertification in arid climates.
- Predicting the rise and fall of political parties.
- Quantifying transitions to spatio-temporal turbulence.
Seminars
- Climate science
- Working seminar on coherent structures
Programs
- REU program in Complex Systems, held regularly most summers
Faculty

Scot Adams
Professor
adams005@umn.edu
dynamical systems, foliations, ergodic theory, hyperbolic groups, trees, Riemannian geometry

Gregory Handy
Assistant Professor
ghandy@umn.edu
theoretical neuroscience, applied mathematics, stochastic processes, mathematical biology, dynamical systems, and calcium dynamics

Hao Jia
Associate Professor
jia@umn.edu
partial differential equations, regularity, stability, large data asymptotics

Markus Keel
Professor
keel@umn.edu
partial differential equations; real, harmonic, and functional analysis

Mitchell Luskin
Professor
luskin@umn.edu
numerical analysis, scientific computing, applied mathematics, computational physics

Svitlana Mayboroda
McKnight Presidential Professor and Northrop Professor
svitlana@umn.edu
analysis and partial differential equations



Peter Olver
Professor
olver@umn.edu
Lie groups, differential equations, computer vision, applied mathematics, differential geometry, mathematical physics


