In the mathematical field of differential geometry, a geometric flow, also called a geometric evolution equation, is a type of partial differential equation for a geometric object such as a Riemannian metric or an embedding. It is not a term with a formal meaning, but is typically understood to refer to parabolic partial differential equations. Certain geometric flows arise as the gradient flow associated to a functional on a manifold which has a geometric interpretation, usually associated with some extrinsic or intrinsic curvature. Such flows are fundamentally related to the calculus of variations, and include mean curvature flow and Yamabe flow. Extrinsic geometric flows are flows on embedded submanifolds, or more generally immersed submanifolds. In general they change both the Riemannian metric and the immersion. Mean curvature flow, as in soap films; critical points are minimal surfaces Curve-shortening flow, the one-dimensional case of the mean curvature flow Willmore flow, as in minimax eversions of spheres Inverse mean curvature flow Intrinsic geometric flows are flows on the Riemannian metric, independent of any embedding or immersion. Ricci flow, as in the solution of the Poincaré conjecture, and Richard S. Hamilton's proof of the uniformization theorem Calabi flow, a flow for Kähler metrics Yamabe flow Important classes of flows are curvature flows, variational flows (which extremize some functional), and flows arising as solutions to parabolic partial differential equations. A given flow frequently admits all of these interpretations, as follows. Given an elliptic operator the parabolic PDE yields a flow, and stationary states for the flow are solutions to the elliptic partial differential equation If the equation is the Euler–Lagrange equation for some functional then the flow has a variational interpretation as the gradient flow of and stationary states of the flow correspond to critical points of the functional. In the context of geometric flows, the functional is often the norm of some curvature.

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