Between Geometry and Probability
Euclidean geometry, the study of flat space, tells us that between every pair of points there is a unique line segment that is the shortest curve between those two points.
Two-dimensional ideas can be described by drawing on a flat piece of paper, but suppose instead of a flat piece of paper, you have a curved piece of paper. You might have a cylinder, or a sphere. Riemannian geometry, the study of curved spaces, is of particular interest to Robert Neel.
Neel, an assistant professor of mathematics, examines the numerous techniques employed in geometric analysis and probability, exploring geometric structures that have some degeneracy. The overarching theme to his work is the use of probabilistic methods, such as Brownian motion. The techniques, he says, apply to many mathematical problems.
“Surfaces in a larger space aren’t generally thought of as degenerate, but from a probabilistic standpoint, Brownian motion along the surface is degenerate in a way quite similar to what you see in sub-Riemannian geometry,” he says. “I’ve been focused on developing tools that provide a common method for several different problems, which is perhaps a little inverted.”
Neel came to Lehigh in 2009 from Columbia University, where he was a National Science Foundation Postdoctoral Research Fellow. His research into sub-Riemannian geometry lies at the center of a collaborative effort with French scientists.
The motions of robot arms, or the act of parallel parking a car, employ sub-Riemannian geometry, and Neel’s colleagues are taking his computations and utilizing them in practical applications. Sub-Riemannian geometry also has use at a basic level in understanding how human brains process information. The excitation of neurons in the brain mirrors a sub-Riemannian geometric structure, and researchers can model some neural processes with a sub-Riemannian setup, leaving the door open to countless future projects for Neel.
“Somewhere between geometry and probability, and some analysis, there are a lot of interactions that people certainly have explored, but not as systematically as I think it merits. There’s too much left on the table.”
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