Perelman's Β§7.1 derived line by line: the first and second variation of π-length, π-Jacobi fields, adapted fields, Hamilton's Harnack expressions, and the differential inequalities for the reduced distance.
12A.5 Reduced Distance and Reduced Volume defined the L-length, the reduced distance β and the reduced volume V~, stated the differential inequalities that β satisfies, and showed how they make V~ monotone. It took those inequalities on trust. This chapter proves them. The proofs are the content of a single page of Perelman's first preprint, Β§7.1, which he describes as "natural modifications of those in the classical variational theory of geodesics that can be found in any textbook on Riemannian geometry". That description is accurate and also misleading: every step is classical, but there are many steps, the signs are treacherous, and the time dependence of the metric enters every one of them, producing Ricci terms that must be tracked and, at the end, recognised as Hamilton's Harnack expressions. Morgan and Tian spend twenty pages on the same material. A reader who has done the second variation of arc length once (9A.7 Jacobi Fields and Curvature versus Topology) and the Laplacian comparison for the distance function once (9B.1 Laplacian Comparison) has all the tools; what remains is to see how they adapt.
The chapter follows Perelman's equations in order, (7.1) to (7.15), and gives each its derivation. The one new idea, compared with Riemannian geometry, is the choice of test fields in the second variation: Perelman's fields Y solving βXβY=βRic(Y,β )+2Ο1βY, which play the role that the linear Jacobi fields rsβE play in Euclidean space. With them the second variation of L becomes the integral of Hamilton's matrix Harnack expression, and its trace becomes Hamilton's trace Harnack expressionH(X). Perelman's quantity K=β«Ο3/2H(X)dΟ is then the only unknown, and it cancels from the combinations that matter. 12A.7 Monotonicity of the Reduced Volume uses the result to prove the monotonicity of the reduced volume and the bound minββ€2nβ rigorously.
By the end of this chapter you will be able to:
write the L-length in the variable s=Οβ, and explain why the L-geodesic equation is regular at Ο=0;
derive the first variation formula (7.1) and the L-geodesic equation (7.2), including the Ricci term that comes from differentiating the metric;
prove that βL=2ΟβX and βΟβL=2ΟβRβΟβ(R+β£Xβ£2);
derive (7.3)β(7.6), identify H(X) with Hamilton's trace Harnack expression at t=βΟ, and express βΟββ and β£βββ£2 through K;
derive the second variation formula (7.7) and the L-Jacobi equation;
prove the Hessian comparison (7.9) with adapted fields, take its trace to get the Laplacian comparison (7.10), and verify the trace identity that turns the matrix Harnack expression into the trace one;
combine everything into (7.13)β(7.15), and identify the equality case as a gradient shrinking soliton;
Let g(t) be a Ricci flow on M, either with M closed or with each g(t) complete of uniformly bounded curvature, and fix a time T. Write Ο=Tβt for backward time, so that
βΟβgβ=2Ric.
A path parameterised by backward time is a curve Ξ³:[Ο1β,Ο2β]βM, thought of as the space-time path Οβ¦(Ξ³(Ο),TβΟ), which moves backward in t as Ο increases. Write X=Ξ³Λβ=dΟdΞ³β, and measure it with g(Ο). The L-length is
Morgan and Tian work more generally with generalised Ricci flows, space-times that are locally isomorphic to Ricci flows but may change topology, which is what a flow with surgery is (12B.9 Surgery). Every computation in this chapter is local along a path, so it applies verbatim there; that is why they set it up in that generality.
The variable s. Set s=Οβ and A(s)=dsdΞ³β. Then dΟ=2sds and X=2sAβ, that is, A=2ΟβX. Substituting,
This is an energy plus a potential, and in this form the theory looks like the classical calculus of variations (6A.11 Calculus of Variations and Gradient Flows): the weight Οβ, which seemed strange, is exactly what makes L a standard energy in s. On static flat space, where R=0, minimisers are straight lines at constant s-speed, Ξ³(s)=p+2sv, that is, Ξ³(Ο)=p+2Οβv: in Ο they leave p with infinite speed and slow down, like the fan of curves in 12A.5 Reduced Distance and Reduced Volume.
6.2The first variation and the L-geodesic equation
Let Ξ³uβ(Ο)=Ξ³(Ο,u) be a smooth family of paths parameterised by backward time, with Ξ³0β=Ξ³, and let Y=βuβΞ³ and X=βΟβΞ³ on the surface swept out. Because these are coordinate vector fields on that surface, [X,Y]=0, so βYβX=βXβY (the connection being torsion-free; the connection of g(Ο) is used at each Ο, and its time dependence does not affect this identity, which holds at each fixed Ο).
One new identity. For vector fields V, W along Ξ³, the derivative of their inner product along the path has an extra term, because the metric changes:
The first two terms are the usual Leibniz rule for the Levi-Civita connection at fixed Ο; the last is βΟβgβ(V,W)=2Ric(V,W). Every Ricci term in this chapter comes from this line.
Now compute, following Perelman's (7.1). Differentiating under the integral,
Here Ric(X,β ) denotes the vector dual to the one-form Ric(X,β ). For variations fixing the endpoints the boundary term vanishes, and Ξ³ is critical for all of them exactly when the bracket vanishes:
βXβXβ21ββR+2Ο1βX+2Ric(X,β )=0.(7.2)
This is the L-geodesic equation. Compare the Riemannian geodesic equation βXβX=0: the term 21ββR is a force pushing the path toward larger scalar curvature (the potential 2s2R in the s-form, with the sign of a Lagrangian), the term 2Ο1βX is the "slowing down" that makes ΟβX rather than X the natural velocity, and 2Ric(X,β ) is the correction from the moving metric.
Regularity at Ο=0. In the variable s, with X=2sAβ and dΟdβ=2s1βdsdβ, one finds βXβX=4s21ββAβAβ4s31βA, and (7.2) becomes, after multiplying by 4s2 (Exercise 6.1),
βAβAβ2s2βR+4sRic(A,β )=0.
This ODE has smooth coefficients at s=0. So for every vβTpβM there is a unique L-geodesic with Ξ³(0)=p and A(0)=2v, that is, limΟβ0βΟβX(Ο)=v (MorganβTian, Lemma 6.8). The L-exponential map is LexpΟβ(v)=Ξ³vβ(Ο). On a complete flow of bounded curvature, L-geodesics extend to the whole time interval (their Lemma 7.3), and minimising curves exist between any two space-time points with Ο1β<Ο2β (their Lemma 7.2): a minimising sequence has bounded energy β«β£Aβ£2ds in the s-variable, hence is uniformly HΓΆlder continuous, a subsequence converges weakly in H1, and L is lower semicontinuous, exactly the direct method of 6A.11 Calculus of Variations and Gradient Flows and 4A.7 Weak Convergence and the Direct Method. The minimiser satisfies (7.2) and is smooth.
Fix a base point p at Ο=0 and write L(q,ΟΛ) for the infimum of L over paths from (p,0) to (q,ΟΛ). Pretend, as Perelman does, that the minimiser Ξ³ is unique and depends smoothly on (q,ΟΛ); 12A.7 Monotonicity of the Reduced Volume shows that this is true on an open set of full measure (the analogue of the complement of the cut locus), and that elsewhere the inequalities hold in the barrier sense.
This is the analogue of βd(p,β )=Ξ³Λβ for the Riemannian distance: the gradient of the length function at the endpoint is the velocity of the minimiser, here rescaled.
Integrating (7.3). Multiply by Ο3/2: dΟdβ(Ο3/2(R+β£Xβ£2))=23βΟβ(R+β£Xβ£2)+Ο3/2dΟdβ(R+β£Xβ£2)=21βΟβ(R+β£Xβ£2)βΟ3/2H(X). Integrate from 0 to ΟΛ; the boundary term at 0 vanishes because Ο3/2β£Xβ£2=Οββ£ΟβXβ£2β0. With
On flat space Hβ‘0, K=0, and these are βΟββ=βΟββ and β£βββ£2=Οββ, which β=4Οβ£xβ£2β satisfies. These are first-order identities: they involve K, which depends on the whole geodesic, not just its endpoint. Second-order information comes next.
Take a variation with Y(0)=0 and differentiate (7.1) once more. Perelman's (7.7) is the result after the same manipulations as in Riemannian geometry: commute βYβ and βXβ using the curvature tensor, move derivatives of Y along the curve using the new identity (which now produces derivatives of Ric, since the metric's derivative is 2Ric and that changes along the curve), and discard terms proportional to the geodesic equation. The two ingredients are:
L-Jacobi fields. The variation field of a family of L-geodesics satisfies the linearisation of (7.2), the L-Jacobi equation (MorganβTian, Lemma 6.10):
As for Riemannian Jacobi fields: the second variation of a minimising L-geodesic is a nonnegative quadratic form on fields vanishing at both ends, it vanishes exactly on L-Jacobi fields (their Proposition 6.13), and the differential of LexpΟΛβ at v sends w to the value at ΟΛ of the L-Jacobi field with Y(0)=0 and limΟββXβY=w (their Lemma 6.19). So LexpΟΛβ is singular at v exactly when there is a nonzero L-Jacobi field vanishing at both ends: the L-conjugate points. An L-Jacobi field along a minimiser also computes the Hessian of L exactly (their Lemma 6.40):
and in particular Y(0)=0. In flat space they are Y(Ο)=Ο/ΟΛβE with E parallel: the variation fields of the fan of L-geodesics 2Οβv, which are linear in s=Οβ. The choice is designed so that, in flat space, the comparison is an equality.
Substitute (7.8). The term 2β£βXβYβ£2 becomes 2β£Ric(Y,β )β£2βΟ2βRic(Y,Y)+2Ο21ββ£Yβ£2, and with β£Yβ£2=ΟΛΟβ (normalising β£Y(ΟΛ)β£=1), β«0ΟΛβΟβ2Ο21βΟΛΟβdΟ=ΟΛβ1β. The remaining terms are organised by the derivative of Ric(Y,Y) along the curve,
which lets one replace βXβRic(Y,Y) by a total derivative and lower-order terms. Integrating the total derivative dΟdβ(2ΟβRic(Y,Y)) gives the boundary term 2ΟΛβRic(Y(ΟΛ),Y(ΟΛ)) (MorganβTian carry this out as their equation (6.13)). The result is Perelman's (7.9):
is Hamilton's expression for the matrix Harnack inequality, at t=βΟ. It is quadratic in Y (despite the notation, it depends on X and Y). Equality in (7.9) holds exactly when the adapted field Y is also an L-Jacobi field (MorganβTian, Proposition 6.37).
Compare once more with Riemannian geometry. For the distance function r from a point in a manifold with Ricβ₯0, the Hessian comparison along a unit-speed geodesic with the linear fields rsβE gives Hessr(E,E)β€r1ββr21ββ«0rβs2Rm(E,Ξ³Λβ,Ξ³Λβ,E)ds, and tracing gives Ξrβ€rnβ1β (9B.1 Laplacian Comparison). Here the role of the linear fields is taken by the adapted fields, the role of the sectional curvature integral by the integral of the matrix Harnack expression, and the curvature hypothesis is replaced by nothing: the Harnack expression is simply carried along.
This is the space-time Laplacian comparison, the analogue of Ξr2β€2n in a space of nonnegative Ricci curvature. In terms of β, Ξβ=2ΟΛβΞLββ€βR+2ΟΛnββ2ΟΛ3/2Kβ, which is the third inequality quoted in 12A.5 Reduced Distance and Reduced Volume.
In Morgan and Tian's formulation (their Corollary 6.51), if one sets Ξ΄=2ΟnββRβ2Ο3/2KββΞββ₯0, the "defect" in the Laplacian comparison, then (7.13) and (7.14) are the equalities βΟβββΞβ+β£βββ£2βR+2Οnβ=Ξ΄ and 2Ξβββ£βββ£2+R+Οββnβ=β2Ξ΄. All the inequality in the theory comes from the single Hessian comparison.
The equality case. Equality in (7.13) at a point forces equality in (7.10), hence in (7.9) for every unit Y, hence every adapted field is an L-Jacobi field, and then (MorganβTian, Proposition 6.43)
the gradient shrinking soliton equation with potential β. So if equality holds everywhere, the flow is a gradient shrinking soliton, and the Gaussian soliton on Rn with β=4Οβ£xβ£2β is the model.
In the worldAnalogyWhy the Harnack expressions appear
In Riemannian geometry, the second variation of length is controlled by curvature, and curvature hypotheses (such as Ricβ₯0) turn it into comparison theorems. For the Ricci flow, the analogous role is played by Hamilton's Harnack expressions, which are combinations of curvature and its space and time derivatives. Perelman's heuristic of Β§6 (12A.5 Reduced Distance and Reduced Volume) explains why: on the high-dimensional space-time MΓSNΓR+β with the metric g(Ο)+ΟgSNβ+(2ΟNβ+R)dΟ2, the curvature components, to leading order in N1β, are the Harnack expressions, and the space is Ricci-flat to that order. The L-geodesics are its geodesics, the second variation of L is its second variation of length, and the Harnack expressions appear because they are its curvature. The analogy is exact in the limit and is the reason the computations work; it is not a proof, and the proof is the computation of this chapter.
Perelman's Β§7.2 adds one more estimate, used for ΞΊ-solutions (12B.3 The Structure of ΞΊ-Solutions). Suppose the backward flow, defined for Οβ[0,Ο0β], has nonnegative curvature operator. Then Hamilton's Harnack inequality holds, with time measured from the initial time of the forward flow, t-time TβΟ0β; translated into Ο, it gives
The correction Ο0ββΟ1β is the price of measuring from the final rather than the initial time; it is harmless as long as Οβ€(1βc)Ο0β. With these lower bounds on H, the identity for β£βββ£2 and (7.11) give, for Οβ€(1βc)Ο0β,
for L-Jacobi fields Y, with C depending on c (statement; the derivation uses Rβ€R+β£Xβ£2 and (7.4) to bound β«Ο3/2R in terms of L). For an ancient solution, Ο0β=β and the correction disappears entirely. These bounds say that on a ΞΊ-solution, β controls both its own gradient and the curvature, at the scale Οβ, which is what makes the rescaled reduced distances compact as Οββ and produces the asymptotic soliton (12B.1 ΞΊ-Solutions, 12B.3 The Structure of ΞΊ-Solutions).
Perelman's Β§7.1 appeared in November 2002. He named Li and Yau's 1986 paper as the closest reference: Li and Yau integrated their gradient estimate along paths using a "length" associated with a linear parabolic equation, the same structure with a potential. Hamilton's trace and matrix Harnack inequalities for the Ricci flow date from 1993, and Bennett Chow and Sun-Chin Chu's geometric interpretation of them on space-time from 1995. The first complete written accounts of Β§7.1 are in Kleiner and Lott's notes (posted from 2003, published 2008), Morgan and Tian's book (2007) and Cao and Zhu's article (2006); Rugang Ye's notes on the reduced distance and reduced volume (2004) also treat it.
With s=Οβ, A=dsdΞ³β=2sX and dΟdβ=2s1βdsdβ: (a) show βXβX=4s21ββAβAβ4s31βA; (b) deduce that (7.2) is equivalent to βAβAβ2s2βR+4sRic(A,β )=0; (c) on static flat space, solve it and recover Ξ³(Ο)=p+2Οβv.
Solution
(a) βXβX=2s1ββAβ(2sAβ)=2s1β(2s1ββAβAβ2s21βA). (b) Substituting into (7.2): 4s21ββAβAβ4s31βAβ21ββR+2s21ββ 2sAβ+2Ric(2sAβ,β )=0. The terms β4s31βA cancel, and multiplying by 4s2 gives the stated equation. (c) With R=0 and Ric=0, ds2d2Ξ³β=0, so Ξ³=p+sA0β, and A0β=2v with v=limΟβX.
From (7.5) and (7.6), derive βΟββ=RβΟββ+2Ο3/2Kβ and β£βββ£2=βR+ΟβββΟ3/2Kβ, where β=2ΟβLβ.
Solution
βΟββ=2ΟββΟβLββ4Ο3/2Lβ=Rβ4Ο3/2Lβ+2Ο3/2Kββ4Ο3/2Lβ=Rβ2Ο3/2Lβ+2Ο3/2Kβ, and 2Ο3/2Lβ=Οββ. Also β£βββ£2=4Οβ£βLβ£2β=βR+2Ο3/2LββΟ3/2Kβ=βR+ΟβββΟ3/2Kβ.
On static flat space along Ξ³(Ο)=2Οβv, show that the adapted fields are Y(Ο)=Ο/ΟΛβE with E constant, that they are L-Jacobi fields, and that (7.9) is an equality: HessL(E,E)=ΟΛβ1ββ£Eβ£2. Check against L=2ΟΛββ£xβ£2β.
Solution
(7.8) with Ric=0 is YΛ=2Ο1βY, so Y=cΟβE, and Y(ΟΛ)=E gives c=ΟΛβ1/2. The variation Ξ³uβ(Ο)=2Οβ(v+uE/(2ΟΛβ)) is a family of L-geodesics with variation field Ο/ΟΛβE, so Y is L-Jacobi. All curvature terms vanish and H=0, so (7.9) reads HessLβ€ΟΛβ1β, with equality since Y is L-Jacobi. Directly, Hess2ΟΛββ£xβ£2β=ΟΛβ1βI.
Exercise 6.6The Harnack expression on a shrinking sphere
For the round sphere in backward time, g(Ο)=(1+2(nβ1)Ο)gSnβ (the unit sphere at Ο=0; in forward time this is the ancient shrinking sphere), compute R(Ο) and H(X) for the constant path Ξ³(Ο)=p, and show that H(0) is negative. Show that nevertheless H(0)β₯βΟRβ, which is Perelman's lower bound of Β§7.2 with Ο0β=β, and explain how it follows from Hamilton's Harnack inequality for this ancient solution.
Solution
βΟβg=2Ric=2(nβ1)gSnβ, so the factor is 1+2(nβ1)Ο and R=1+2(nβ1)Οn(nβ1)β, RΟβ=β(1+2(nβ1)Ο)22n(nβ1)2β. With X=0, H(0)=βRΟββΟRβ=1+2(nβ1)Οn(nβ1)β(1+2(nβ1)Ο2(nβ1)ββΟ1β)=βΟ(1+2(nβ1)Ο)2n(nβ1)β<0. But H(0)+ΟRβ=βRΟβ>0. For an ancient solution with nonnegative curvature operator, Hamilton's trace Harnack inequality (with the initial time sent to ββ) gives Rtββ₯0, that is βRΟββ₯0, which is exactly H(0)β₯βΟRβ. The negative term βΟRβ in H is there because H measures time from the base point Ο=0, not from the beginning of the flow.
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