Dynamical Systems and Differential Equations

Expand all

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

Scot Adams

Professor

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

Gregory Handy headshot

Gregory Handy

Assistant Professor

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

	 Hao Jia Receives NSF CAREER Grant Award

Hao Jia

Associate Professor

jia@umn.edu
partial differential equations, regularity, stability, large data asymptotics 

Markus Keel

Markus Keel

Professor

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

Mitch Luskin

Mitchell Luskin

Professor

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

Svitlana Mayboroda

Svitlana Mayboroda

McKnight Presidential Professor and Northrop Professor

svitlana@umn.edu
analysis and partial differential equations

Richard McGehee

Richard McGehee

Professor

mcgehee@umn.edu
dynamical systems, applied mathematics

Richard Moeckel

Richard Moeckel

Professor

rmoeckel@umn.edu
dynamical systems, celestial mechanics

Peter Olver

Peter Olver

Professor

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

Hans Othmer

Hans Othmer

Professor

othmer@umn.edu
applied math, mathematical biology, dynamical systems

Peter Polacik

Peter Polacik

Professor

polacik@umn.edu
partial differential equations, dynamical systems

Arnd Scheel

Arnd Scheel

Professor

scheel@umn.edu
dynamical systems, partial differential equations, applied math