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Course 12Book 12B: κ-Solutions and SurgeryChapter 11
Noncollapsing After Surgery
Perelman II Lemma 5.2 proved: admissible curves, the evolution of surgery caps, the length estimate for curves that come near a surgery, and the reduced-volume argument in a space-time with surgeries (Morgan–Tian chapter 16).
Read Perelman II, §§4.5–4.6 and §§5.1–5.3 (two pages), then Morgan and Tian, chapter 16: Propositions 16.1, 16.3, 16.4, 16.5, 16.13, Lemmas 16.15 and 16.19, Proposition 16.21, Lemma 16.26 and §6 (Claims 16.27–16.28). Kleiner and Lott, §§74–79, give the parallel account, with §78 on the -function for flows with surgery.
Perelman's noncollapsing theorem (12A.4 κ-Noncollapsing) was proved with the reduced volume: from a point , find a point at an earlier time whose reduced length is at most , take a ball of definite volume around it where the reduced length stays bounded, and push the volume lower bound forward to by monotonicity (12A.7 Monotonicity of the Reduced Volume, 12A.8 Local Noncollapsing from the Reduced Volume). Every step uses -geodesics from into the past. In a flow with surgery, the past of has holes: regions that were created by a surgery (the caps) have no past, and regions that disappeared at a surgery have no future. An -geodesic must avoid both, and the monotonicity argument needs minimizing -geodesics to "enough" of each earlier time slice.
Perelman put the difficulty candidly (II, §5.2): the argument would go through "if we knew that every barely admissible curve ... has reduced length at least ", but "at the moment I don't see how to ensure that without imposing new restrictions on for all ". His way around it, which Morgan and Tian develop into chapter 16, is to show that curves that come near a surgery cap have large -length, provided is small: approaching a cap from above means spending time in the evolving cap, where the curvature is large ( on the standard solution, 12B.8 The Standard Solution) or travelling a long way; approaching from below means crossing a neck in very little time. With that, minimizing -geodesics of moderate length stay in the smooth part of space-time, and the smooth proof runs.
By the end of this chapter you will be able to:
- state the noncollapsing proposition for flows with surgery (Morgan–Tian, Proposition 16.1; Perelman II, Lemma 5.2) with its dependence of constants;
- prove noncollapsing at points of large curvature directly from canonical neighbourhoods;
- state and explain the evolution of surgery caps (Perelman's Lemma 4.5) and prove the length estimate for curves in an evolving cap (Corollary 4.6, Proposition 16.13);
- prove that curves of bounded -length avoid surgery caps and disappearing regions;
- assemble the proof: existence of minimizing -geodesics with , a point of controlled curvature on a short -geodesic, and the reduced-volume argument.
The statement
Recall the inductive setting of 12B.10 Surgery on a δ-Neck: time steps , , ; parameters (canonical neighbourhoods), (noncollapsing), (surgery control) on each step; and the surgery scale .
Given surgery parameter sequences up to index , there is , and for every there is , such that: if is a Ricci flow with surgery on , , satisfying the inductive hypotheses on , Assumptions (1)–(7), and the strong -canonical neighbourhood assumption with parameter , with surgery control on , then is -noncollapsed on all scales .
Two features of the quantifiers matter for the induction in 12B.13 Ricci Flow with Surgery for All Time. First, depends only on the previous step's constants (, , and the fixed , , ), not on ; only the allowed surgery control depends on . This is essential: in 12B.12 Canonical Neighbourhoods After Surgery the canonical neighbourhood parameter is found by a contradiction argument that needs fixed in advance. Second, as always, "noncollapsed" has an escape clause: either the volume bound holds, or the point lies in a component of its time slice with positive sectional curvature (such components become extinct and are harmless).
Points of large curvature
If , then with depending only on , or lies in a component of positive sectional curvature.
Proof. has a strong -canonical neighbourhood. A strong neck centred at is close to a round cylinder of scale , whose -balls have universal volume. A -component or -round component has positive curvature. In the core of a -cap, let be such that ; the cap definition (12B.4 Compactness and Universal Estimates for κ-Solutions) gives . There is a point of the ball where the curvature is (Morgan and Tian write , which is accurate up to a universal factor), and curvatures in a cap are within a factor of each other, so and . Hence .
So the work is for points with , where noncollapsing is a genuine statement about the past.
How surgery caps evolve
The standard solution enters through the following lemma, which is where the choice of small pays off.
Given , and , there is such that, if a surgery at time with scale and cap tip is performed with , and , then either
- the parabolic region exists in the flow and, shifted to start at time and rescaled by , is -close in to the standard solution on the ball of radius about its tip; or
- the same holds up to some time , and just before the whole of the region lies in the part of the manifold that disappears at the surgery at time .
In words: for rescaled time up to , a surgery cap evolves like the standard solution, unless a later surgery removes it, and then it is removed all at once. The reason for the second clause is Perelman's: while the cap is close to the standard solution it contains no point at the centre of a -neck (the standard solution near its tip is far from a neck), and surgeries are only done along the central spheres of -necks, so a later surgery cannot cut through the cap; it can only discard it whole.
Proof idea. By contradiction with . The glued metrics near the tips are uniformly bounded in (the strong necks they were made from have Shi bounds, and the gluing is with fixed functions; Claim 16.6), so rescaled limits exist and, by conclusion 4 of the surgery theorem of 12B.10 Surgery on a δ-Neck, the limit initial metric is . The flows from these initial data have curvature controlled on short time steps by the canonical neighbourhood derivative bound (Perelman steps forward in increments small compared with , the maximum curvature of the standard solution on ), so a subsequence converges to a Ricci flow with initial metric and bounded curvature, which by uniqueness (12B.8 The Standard Solution) is the standard solution. Iterating up to time gives closeness on growing balls, contradicting the choice of the sequence.
From this, the decisive estimate:
For every there are and such that for and small (depending on ), the following holds. Let be the tip of a surgery cap at time , scale , and , with the parabolic region over existing up to . Let be a curve, parametrised by backward time from to , staying in that region, ending in at time , and either starting at time or starting on the boundary . Then
Proof. The integral is invariant under time shifts and parabolic rescaling, so take , ; then and . Fix so that a metric -close to the standard solution has within of it and within .
A curve through the whole time interval. If , then since on the standard solution (12B.8 The Standard Solution), along , and
which exceeds once is close enough to . This fixes .
A curve entering from the side. On the standard solution, for the annulus between radii and is close to a shrinking cylinder on (12B.8 The Standard Solution, Proposition 12.7), so the distance from to the outside of is at least at every time, and in the actual flow at least at time . Closeness to the nonnegatively curved standard solution gives , so and . With , the integral is at least , and by Cauchy–Schwarz over a time interval of length less than ,
so the integral is at least for .
Short curves avoid surgeries
The reduced length weights the integrand by , and may be negative (down to by pinching), so Perelman and Morgan and Tian work with
which satisfies (Exercise 11.8).
Given there is , independent of the flow and of , such that if on , is a point at time around which exists with (), and is a curve from parametrised by backward time with , then:
- for , stays in ;
- misses every region that exists in the flow, for every surgery at time in its range with tip and scale .
Proof. 1. Leaving the half-size ball in time requires (the metrics on the parabolic neighbourhood are comparable, by the curvature bound, with constant over the short time, which is where comes from). Cauchy–Schwarz with the weight : , which for is at most .
2. So up to the curve is far from any surgery. After , , so on the rest. If met the region near a cap, it would contain a sub-curve of the kind in Proposition 11.4 (entering the evolving cap from the top or from the side and reaching the inner half), whose integral exceeds when with . Contradiction.
The caps are approached "from above" (from later times). The disappearing regions are approached "from below": a curve going backward in time from a point that survives a surgery at time must not reach, just before , the part that is about to disappear. Here the estimate is not universal.
Let be a surgery time with scale and cap tips , with no other surgery in for some . If starts at time outside and , then misses the region made of the disappearing region and the adjacent halves of the surgery necks, at all times in .
Proof. The starting point is at distance at least from (by the geometry of the cap and the neck), and over a time shorter than the metrics on the necks shrink by at most a factor , so reaching needs , and Cauchy–Schwarz gives .
The time depends on the spacing of surgeries in the particular flow, which is why Morgan and Tian construct, for each flow, a compact set of smooth space-time points by removing small open neighbourhoods of each surgery (the evolving caps forward for rescaled time , the disappearing regions backward for time ). The two lemmas say that curves from with bounded stay in , and since is compact and consists of smooth points, minimizing sequences of such curves converge (Proposition 16.21, Corollary 16.24).
Minimizing -geodesics to enough points
For each there is such that, if on and at time has in the flow with , , then there is an open set of smooth points in with:
- every is joined to by a minimizing -geodesic;
- meets every time slice in ;
- on each slice, restricted to attains its minimum, which is at most , that is, ;
- the set of these minimum points is compact over compact time intervals.
Proof. Set and . Let be the set of points reached from by backward curves with . By the lemmas, such curves avoid the surgeries, so minimizing sequences converge in the compact set and minimizing -geodesics exist and lie in the smooth part; on each slice the minimum of is attained on a compact set, and the set of minimum points is compact over compact intervals (Claim 16.25: a sequence of minimum points converges, by following flow lines across the finitely many nearby surgery times and comparing values from both sides). For property 3, let be the set of such that for . On the smooth argument of 12A.7 Monotonicity of the Reduced Volume (the barrier inequalities and the Dini derivative of , Morgan–Tian Corollary 7.12) applies, because everything happens among minimizing -geodesics in the smooth part, and gives , much less than since . So is open and closed in , hence everything (Lemma 16.26).
This is the place where Perelman's worry about "barely admissible curves" is resolved: we never need to know the reduced length of curves on the boundary of the admissible set, only that curves of moderate length never get near it.
The proof of noncollapsing
Proof of Proposition 11.1. Claim 15.1 handles the first step, so let , and let at time satisfy the hypothesis of noncollapsing at scale ; by Proposition 11.2 assume . By Proposition 11.7 there is a minimizing -geodesic from to the slice at time with .
A point of moderate curvature on (Claim 16.27). There is with and . Otherwise, with and , and using outside ,
by the elementary estimates of Claim 16.28 (Exercise 11.11), and since and , this is at least , contradicting . The point is that a curve through a long stretch of high curvature has large .
Let at time , and , with (pinching again).
A parabolic neighbourhood of controlled size at . By the canonical-neighbourhood lemma of 12B.7 The Singular Time: Horns and Strong Necks (Lemma 11.2), every point on backward flow lines from for time has . No such point lies in a surgery cap from a surgery in that time window, since caps have (the scale is ). So the parabolic neighbourhood exists, with , hence (pinching) . Shrinking to gives a parabolic neighbourhood with , at a time where the inductive hypothesis holds. So either , or is in a positively curved component, which then flows forward as a positively curved component until it disappears (Hamilton), and , which is joined to by a curve, is in such a component.
The reduced-volume argument. For join to by a -geodesic run backward over ; with the metric bounds its -length is at most . So every is reached from by a curve of length at most , and by Proposition 11.7 by a minimizing -geodesic in the smooth part. The set of points of in the -injectivity domain has full measure, so it has volume at least , with (after normalising by ) on it. Morgan and Tian's Theorem 8.1 (12A.8 Local Noncollapsing from the Reduced Volume) now gives -noncollapsing at on scales , with depending on , , and , hence only on and .
Think of the -length as the effort of a journey back in time, and surgeries as mountain passes that are closed or newly opened. Reduced-volume monotonicity is a statement about all the cheapest journeys from . If some cheapest journeys used a pass that had just opened, the argument would break, because beyond it there is no road. The lemmas of this chapter say that every road near a pass is very steep: approaching a new cap costs either a long stay at high altitude (high curvature) or a long climb (a long distance in little time). So cheap journeys never go near the passes, and the old map of cheapest routes is still valid.
The steepness is bought with . The threshold shrinks as does, and is not known until 12B.12 Canonical Neighbourhoods After Surgery. This is why Perelman's Proposition 5.1 is proved by an induction in which, at each step, on the previous step is redefined smaller ("redefining "): noncollapsing on uses curves reaching back into , where surgeries must also have been done with the new, smaller .
12B.12 Canonical Neighbourhoods After Surgery proves the other half of the induction: with fixed by this chapter, there is such that every point with on the next step has a strong canonical neighbourhood, for small enough. The proof is the blow-up argument of 12B.5 The Canonical Neighbourhood Theorem again, with new cases when the blow-up region meets a recent surgery, which the evolution of surgery caps, this time in its full strength, resolves.
History
Perelman's Lemma 5.2 (II, 2003) proves noncollapsing for flows with cutoff with the remark about barely admissible curves quoted above, and Lemmas 4.5 and 5.3 and Corollary 4.6 supply the length estimates. Kleiner and Lott (§§78–79) and Morgan and Tian (chapter 16, 2007) gave complete proofs, including the existence of minimizing -geodesics in the presence of surgery; Cao and Zhu did the same.
Noncollapsing for a flow with surgery holds with depending only on the previous step's constants, provided the surgery control is small depending on . At high curvature it follows from canonical neighbourhoods. Otherwise it follows from the reduced volume, once minimizing -geodesics from are known to stay in the smooth part of space-time: a surgery cap evolves like the standard solution for rescaled time or is removed whole; a curve entering an evolving cap from the top spends time where , and from the side travels a distance , so either way its is large; a curve reaching a disappearing region from below crosses in time less than . With these, minimizing -geodesics exist to a set meeting every slice, , a short -geodesic reaches a point of curvature below in the previous step, the inductive noncollapsing there gives a ball of definite volume and bounded reduced length, and the monotonicity theorem transfers the bound to .
Exercises
Suppose (pinching with ). Show that for a curve parametrised by , . Why is more convenient than for estimates that say "curves near surgeries are long"?
Solution
, so ; and , so . Lower bounds for over a sub-curve add up: the integrand is nonnegative, so a lower bound on any piece is a lower bound on the whole. For , negative curvature elsewhere along the curve could cancel the gain.
Using on the standard solution, show that a curve staying in the evolving cap from time to time has . How close to must be for this to exceed ? What does this say about as ?
Solution
. It exceeds when . So decreases exponentially in : to force very long curves, one must follow the cap almost to the extinction time of the standard solution, which in turn requires closeness to the standard solution over almost all of , hence a smaller .
A curve crosses, in time at most , a region of width at least in a metric , with along the way. Show that . Compare with the cost of crossing a distance in time in Euclidean space.
Solution
, so . In Euclidean space the cheapest crossing is at constant speed, with energy : crossing quickly is expensive, and the cost scales like distance squared over time, which is the parabolic scaling of .
Let , with and , and let , , with and . (a) Show and . (b) Deduce . (c) Given , with and , show , contradicting .
Solution
(a) gives . If : , and , so ; if , . (b) and , so the difference exceeds . (c) Since , , so . Subtracting leaves at least for .
Surgeries in are done at scale , and the curvature on a surgery cap is at least ( from Lemma 12.3). Show that if then every point of such a cap has , and explain why this keeps the parabolic neighbourhood at free of surgery caps.
Solution
, using . But along backward flow lines from over time , by Lemma 11.2. A point cannot have both. So no flow line in the region runs into a cap created in the window, which is what "the backward parabolic neighbourhood exists" requires.
Free resources for this chapter
Chosen for what this chapter covers, and all free to read. Links checked Oct 16, 2026.
- Book Ricci Flow and the Poincaré ConjectureJohn Morgan and Gang Tian, arXiv (2006) · ch. 16Noncollapsing for flows with surgery: evolution of surgery caps, the length estimates, and the reduced-volume argument.
- Paper Ricci flow with surgery on three-manifoldsGrisha Perelman, arXiv (2003) · §§4.5–4.7, 5.2–5.3The evolution of surgery caps and Lemma 5.2.
- Notes Notes on Perelman’s papersBruce Kleiner and John Lott, arXiv (2006) · §§74–79Evolution of surgery caps, curves that penetrate the surgery region, and noncollapsing in the presence of surgery.
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