Applied Mathematics Program


People and Departments Research Topics Graduate Program

Faculty Research Profile
Robert GhristRobert Ghrist

Associate Professor of Mathematics
University of Illinois at Urbana-Champaign

329 Altgeld Hall

1409 W. Green Street, Urbana, IL 61801

217-244-5857

ghrist@math.uiuc.edu

www.math.uiuc.edu/~ghrist

Research Summary

My work focuses on those methods in applied mathematics which are topological in nature. Such methods have the characteristic of being very robust: topological results are tolerant of the "noise" inherent in physical systems. Such techniques are therefore surprisingly useful in engineering and science.

Current Projects

  • Geometric Methods in Robotics & Computer Science
    Robotics is an ideal domain for a mathematician to work in: here, one has a genuine need for rigor. Imagine trying to verify that a control system for a robotic brain surgeon works. Would you prefer to have a successful computer simulation or a theorem guaranteeing performance? (Answer: get both if you can...)

    I use methods and ideas from topology and geometric group theory to prove rigorous theorems about robot motion-planning and control. In particular, I have worked with spaces of nonpositive curvature as applied to metamorphic and reconfigurable robots, and also to robot coordination problems.



  • Contact Topology and Fluid Dynamics
    Rigorous results about fluid dynamics are rare for fully three-dimensional flows. I use global techniques from contact topology (a variant of symplectic topology) to determine results about the most difficult classes of steady inviscid fluid flows. These techniques utilize cutting-edge ideas from the contact topology world --- e.g., contact homology --- to answer questions about concrete physical phenomena such as hydrodynamic instability.


  • Knots, Links, & Braids in Dynamical Systems
    One of the ways in which topological methods most directly impact applications is via differential equations: much of the history of dynamical systems theory traces back to topological perspectives. I have contributed to the relationships between knot theory and dynamics.

    One way in which these fields interact arises whenever you have a vector field on a three-dimensional domain: periodic orbits naturally trace out simple closed curves. In what ways do the knotting and linking data reflect or indeed force dynamical data? There is a rich theory here, including simple examples of differential equations for which the most chaotic types of knotting imaginable are present.

    Recent work has focused on applications of braid theory to scalar parabolic PDEs via a topological version of the comparison principle. 

 

   

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