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Course 11Book 11A: The Ricci Flow: Existence and Maximum PrinciplesChapter 1
The Equation and Its First Solutions
A heat equation for the metric: spheres, cylinders and scaling.
Read with Topping's Lectures on the Ricci Flow, chapter 1 (introduction, the equation, first examples), and Chow and Knopf's The Ricci Flow: An Introduction, chapter 1 (special solutions). Skip both books' introductions to Riemannian geometry: that is Book 9A.
This is the equation the whole Path has been preparing:
A Riemannian metric moves in the direction of minus twice its Ricci curvature. Richard Hamilton introduced it in 1982 and used it at once to prove a theorem about 3-manifolds (11A.6 Hamilton’s 1982 Theorem). Twenty years later Perelman completed Hamilton's program and proved the Poincaré and geometrization conjectures with it.
This first chapter of Book 11A explains why the equation is a heat equation for the metric, what its symmetries are, and how to solve it exactly when the metric is symmetric enough: Einstein metrics shrink or expand homothetically, products flow factor by factor, and the round cylinder shrinks into a line. These exact solutions are the reference points for everything later. Their curvature evolutions check the formulas of 11A.2 How Curvature Evolves, and their shapes are the models of the singularities of 11B.4 Singularities.
By the end of this chapter you will be able to:
- explain, through harmonic coordinates, why the Ricci flow is a nonlinear heat equation for the metric, and why the constant is ;
- use the scaling and diffeomorphism symmetries of the equation;
- write the exact solutions for Einstein metrics, products, cylinders and flat metrics;
- define the volume-normalised flow and relate it to the unnormalised one;
- say where Ricci flow appears in physics and computing, and how those uses differ from the smooth flow.
Where the equation also appears
In quantum field theory, the effective strength of an interaction depends on the length scale at which you probe it, and the renormalisation group describes how the couplings change with scale. For a two-dimensional nonlinear sigma model, a field theory of maps from a surface into a Riemannian manifold, the coupling is the target metric itself. Daniel Friedan showed in 1980 (Physical Review Letters) that, to lowest order in perturbation theory, the renormalisation group flow of the target metric is proportional to its Ricci tensor. So changing the scale at which the theory is viewed moves the target metric by a Ricci flow, to that order. The equation appeared in physics and in Hamilton's geometry at nearly the same time, for different reasons. In string theory, conformal invariance at one loop requires the target metric to be Ricci-flat.
Discrete analogues of the flow are used in computing. Discrete surface Ricci flow on triangle meshes computes conformal parametrisations (5A.5 Uniformization and the Two-Dimensional Ricci Flow, 11A.7 Ricci Flow on Surfaces). On graphs, a discrete Ricci curvature defined from optimal transport, and a Ricci-flow-like reweighting of edges, have been used to detect communities in networks (Chien-Chun Ni, Yu-Yao Lin, Feng Luo and Jie Gao, Scientific Reports, 2019). The same discrete curvature has been used to diagnose "bottlenecks" that limit message passing in graph neural networks (Jake Topping and colleagues, ICLR 2022). These are analogues, defined and studied on their own terms; the theorems of this book are about the smooth flow. The site's Applications page collects such uses with their references.
Heat evens out temperature: hot spots cool, cold spots warm, and the temperature tends to its average. The Ricci flow evens out curvature in the same way, at least at first. In two dimensions the scalar curvature satisfies (11A.7 Ricci Flow on Surfaces), a heat equation with an extra term.
The analogy breaks in three ways. The equation is nonlinear: the reaction terms in the evolution of curvature (11A.2 How Curvature Evolves) can drive curvature up, not just spread it out, so regions of high positive curvature can blow up in finite time. It is only weakly parabolic: the diffeomorphism invariance below means the equation is degenerate in some directions, and existence needs DeTurck's trick (11A.3 Short-Time Existence and Uniqueness). And it forms singularities, necks pinching and caps forming, which no linear heat equation does (11B.4 Singularities).
A heat equation for the metric
Why should be a Laplacian? In harmonic coordinates, coordinates with , which exist near any point, the Ricci tensor has the form
where is quadratic in the first derivatives of (Petersen; Topping, chapter 1). So, in such coordinates,
each component of the metric satisfies a heat equation, coupled to the others through lower-order terms. The factor makes the leading coefficient exactly , and the minus sign makes it a forward heat equation, well-posed forward in time (6A.1 What a PDE Is). The catch, that the coordinates themselves depend on the metric, is the subject of 11A.3 Short-Time Existence and Uniqueness.
The sign also explains the geometry. Where is positive, as on a sphere, the metric shrinks; where it is negative, as on a hyperbolic manifold, it expands. Since Ricci curvature measures how volume of small balls falls short of Euclidean (9A.4 Curvature and What It Means), the flow shrinks directions that are "too curved" and expands those that are not curved enough.
Symmetries
Scaling. If is a Ricci flow, so is
because is unchanged by constant scaling (9A.4 Curvature and What It Means) while picks up a factor . Distances scale by and time by : parabolic scaling, as for the heat equation (6A.1 What a PDE Is). Curvature scales by . Blowing up a flow near a singularity, with at a point of large curvature, uses exactly this (11B.4 Singularities).
Diffeomorphism invariance. If is a diffeomorphism, then is also a Ricci flow, because (8A.6 Flows and the Lie Derivative). Two consequences come later. The equation is not strictly parabolic, which DeTurck's trick repairs (11A.3 Short-Time Existence and Uniqueness). And solutions that change only by diffeomorphisms and scaling, the Ricci solitons, are the natural self-similar solutions (11B.1 Ricci Solitons).
Exact solutions
Einstein metrics. If , then (9A.4 Curvature and What It Means).
- The round sphere of radius in dimension has , so . It shrinks to a point at , staying round.
- Hyperbolic metrics () expand forever: .
- Flat metrics do not move.
Products. The Ricci tensor of a product is the product of the Ricci tensors (9A.5 Computing Curvature), so each factor flows independently. The round cylinder with sphere radius evolves by
pinching everywhere at once at , while the line factor does not move (Figure 1.1, Figure 1.2). For : . This is the neck, the most important singularity model of the three-dimensional flow.
The normalised flow
On a closed manifold, the volume changes by (8A.7 Tensors and Index Notation), so a sphere shrinks to nothing. Hamilton also used the normalised Ricci flow
which preserves volume (Exercise 1.3). It is the unnormalised flow, rescaled at each time to keep volume fixed, with a reparametrised time. So the two have the same geometry up to scaling. On the round sphere the normalised flow is stationary, which is why Hamilton's theorem (11A.6 Hamilton’s 1982 Theorem) is stated as "the normalised flow converges to a round metric".
11A.2 How Curvature Evolves derives how curvature evolves under the flow, checking every formula on the solutions of this chapter. 11A.3 Short-Time Existence and Uniqueness proves that a solution exists for a short time from any initial metric on a closed manifold, and is unique. 11A.4 Maximum Principles under Ricci Flow develops the maximum principles that control it, and 11A.6 Hamilton’s 1982 Theorem uses them to prove Hamilton's 1982 theorem.
History
Hamilton introduced the Ricci flow in "Three-manifolds with positive Ricci curvature" (Journal of Differential Geometry, 1982). Friedan's paper on nonlinear sigma models appeared in Physical Review Letters in 1980, with a fuller account in 1985. DeTurck's simplified existence proof followed in 1983. Discrete Ricci flows for surfaces were introduced by Bennett Chow and Feng Luo in 2003, and graph versions in the 2010s.
The Ricci flow is, in harmonic coordinates, a heat equation for the metric components with quadratic lower-order terms; the factor normalises the Laplacian and the sign makes it forward-parabolic. It is invariant under parabolic scaling and under diffeomorphisms. Einstein metrics evolve homothetically: spheres shrink to points at , hyperbolic metrics expand, flat ones stay. Products flow factor by factor, so the cylinder pinches at . The normalised flow keeps volume fixed and differs only by scaling. 11A.2 How Curvature Evolves computes how curvature evolves.
Exercises
Verify that and are Ricci flows, using for the unit sphere and scale invariance of . Compute the scalar curvature of each and show it blows up like .
Solution
, and of a rescaled metric is unchanged. Likewise for the cylinder, with . Scalar curvature: for the sphere, and for the cylinder.
Show directly that if solves the Ricci flow on , then solves it on . How does transform? If a flow has on , what bound does have, and on what interval?
Solution
. The curvature tensor is scale invariant and its norm involves the metric so that . So has on : choosing normalises the curvature bound to .
Using (9B.7 The Heat Equation on a Manifold), show that the normalised flow satisfies .
Solution
, so by the definition of .
Show that a hyperbolic metric expands linearly, and that its normalised flow is stationary. Show more generally that any Einstein metric is a fixed point of the normalised flow.
Solution
gives . For an Einstein metric, , , , and .
Let be a Ricci flow on a closed -manifold. Define , and . Show , where is the average scalar curvature of , and deduce that solves the normalised flow in the time . (Use and .)
Solution
, so . Then . Now and , so . Hence .
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