âAlthough initially interested in pursuing a career in philosophy, she realized it wasnât the right fit. For philosophers, âa productive discussion means testing your position against someone elseâs,â she said. âMath is the opposite. You talk to someone, and youâre both on the same team from the get-go. If someoneâs like, âThat doesnât work that way,â youâre like, âOh, tell me more.â I found that mode of discourse much better.ââ
âBarthelmĂ© was interested in particular dynamical systems called Anosov flows, which crop up naturally in many areas of mathematics and act as important toy models.â
âThese systems showcase seemingly paradoxical properties all in one place: chaos and stability; rigidity and flexibility; the presence of intrinsic geometric structure amid an underlying topological wildernessâ
âNow, in a series of recent papers, BarthelmĂ© and Mann, together with Steven Frankel of Washington University in St. Louis, have taken a striking step toward that elusive goal. By translating questions about motion and shape into the language of algebra, they showed that relatively little data is needed to completely and uniquely determine a given Anosov flowâ
âSince the late 19th century, when Henri PoincarĂ©âs work in celestial mechanics jump-started the modern theory of dynamical systems, mathematicians have thought about dynamics through the lens of geometryâ
âyou can represent all possible states of the pendulum as points on a plane, which is known as the state spaceâ
âYou want to study all such trajectories as a single mathematical object. This geometric way of encoding your dynamical system is called a âflow.â Instead of thinking about the pendulum carving out arcs through the air, you can study its behavior by analyzing the flowâ
â100 particles moving and interacting in space. The flow that captures their behavior is a collection of infinitely many trajectories through a 600-dimensional state spaceâ
âEven before PoincarĂ©âs 19th-century work changed the way dynamical systems were studied, mathematicians were interested in systems where a particle takes the shortest path available: a so-called geodesic. On a plane, particles follow a bunch of straight lines; on the surface of a sphere, they travel along great circles. The topology, or global shape, of the surface affects what these paths look likeâ
âA geodesic flow describes all possible ways a particle can move when not subject to any outside forcesâ
âthe Russian mathematician Dmitri Anosov observed that if you slightly adjust the equation that defines the geodesic flow, all the trajectories shift just a bit: You can wiggle your original flow into the new one without changing its overall structureâ
ââThe tag line is âglobal stability, local chaos,ââ Mann said. âIn dynamics, youâre really interested in this confluence of stability and chaos.â The two coexist in many dynamical systems, striking a subtle and crucial balance that mathematicians have been trying to disentangle since PoincarĂ©âs work on our solar systemâ
âAnosov could only come up with one other family of systems that fit his criteria. But since then, mathematicians have uncovered a sprawling zoo of examplesâ
âImagine an Anosov flow as a complicated tangle of infinitely many trajectories, which together fill up a three-dimensional state space like yarn. This state space is whatâs known as a manifold. If you zoom in on any part of it, it will look like regular three-dimensional space, but globally, it can have a very complicated structure, full of holes and other strange featuresâ
âThe three mathematicians proved that for most Anosov flows (as well as pseudo-Anosov flows), knowing just the closed, or âperiodic,â trajectories allows you to completely determine the entire systemâ
âThe fundamental group is effectively a list of loops on the manifold (and all their combinations) that encode information about the manifoldâs shapeâ
âEvery periodic trajectory in a given Anosov flow corresponds to a class of loops represented in the fundamental group. According to BarthelmĂ©, Frankel and Mann, for most Anosov (and pseudo-Anosov) flows, knowing this subset is enough to allow you to reconstruct the entire flowâ
âJust as the contours of a riverbank affect the possible ways the water in a river can flow, the structure of a manifold affects what sorts of dynamical flows are possibleâ
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