Loss of initial data under limits of Ricci flows
Peter M. Topping

TL;DR
This paper constructs Ricci flows on a torus that start close to a flat metric but converge to a scaled version, demonstrating loss of initial data in the flow limits.
Contribution
It provides an explicit example of Ricci flows where initial convergence does not imply convergence of the flows themselves, highlighting limitations in initial data preservation.
Findings
Flows converge to a scaled flat metric, not the initial metric.
Initial metrics converge in Gromov-Hausdorff sense, but flows do not.
Demonstrates loss of initial data in Ricci flow limits.
Abstract
We construct a sequence of smooth Ricci flows on , with standard uniform curvature decay, and with initial metrics converging to the standard flat unit-area square torus in the Gromov-Hausdorff sense, with the property that the flows themselves converge not to the static Ricci flow , but to the static Ricci flow of twice the area.
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**Loss of initial data under
limits of Ricci flows 111 This is the submitted version from 2019, but with updated references. Problem 1.2 can be answered using the theory in [20]. Appeared in ‘Minimal surfaces: integrable systems and visualisation,’ [Granada, 2018] T. Hoffmann, M. Kilian, K. Leschke, F. Martin (Eds.) Springer Proceedings in Mathematics & Statistics 349, 2021.
**
\optdraft DRAFT with comments ††margin:
Peter M. Topping
(1 September 2021)
Abstract
We construct a sequence of smooth Ricci flows on , with standard uniform curvature decay, and with initial metrics converging to the standard flat unit-area square torus in the Gromov-Hausdorff sense, with the property that the flows themselves converge not to the static Ricci flow , but to the static Ricci flow of twice the area.
1 Introduction
When tasked with starting a Ricci flow with singular initial data, the standard approach is to approximate the singular initial data by smooth initial Riemannian metrics, then to flow each of the smooth metrics and take a smooth limit of the smooth resulting flows. As an example, in [12, 17, 9, 14, 15] one flows so-called Ricci limit spaces, obtained as non-collapsed Gromov-Hausdorff limits of sequences of smooth 3-manifolds satisfying uniform lower Ricci bounds. Each gives rise to a Ricci flow of one form or another, with uniform curvature bounds for , and Hamilton-Cheeger-Gromov compactness allows one to extract a subsequence that converges to a smooth limit Ricci flow for .
The challenge then is to show that the desired initial data is not lost in the limit . In other words, we require that the smooth limit Ricci flow converges weakly to the desired initial data as . This amounts to showing that the Riemannian distance has a uniform limit as , and that is a metric space that is isometric to . In [17, 15], this was achieved by proving uniform lower Ricci bounds on the flows . In particular, the so-called double bootstrap technique of [16] gives the local lower Ricci control that implies the necessary control on the evolution of distances, and higher-dimensional versions in the presence of stronger curvature hypotheses can be found in [2, 11], with the closest analogue (also being purely local) in [10].
In this note we clarify that without uniform lower Ricci bounds this programme will fail completely in general. Indeed, this loss of initial data can occur even when is a smooth manifold of any dimension and the convergence is much stronger than Gromov-Hausdorff.
Theorem 1.1**.**
Let be the standard flat square torus arising as the quotient , and let be the Riemannian distance corresponding to . Then there exists a sequence of smooth Ricci flows , on , with the property that for some uniform , all , and all , and so that
* uniformly as , but* 2. 2.
the Ricci flows converge smoothly locally on to the flat metric of twice the volume.
Here denotes the Gauss curvature of a metric .
Variations on Theorem 1.1 show that it is not even necessary for a limit Ricci flow and a limit initial metric to share the same conformal structure. What is most important is that the limit Ricci flow should just be larger than the limit initial metric.
Estimates of Hamilton-Perelman [8, 13] (see [16] for the local version) tell us that the uniform decay on the curvature implies lower semicontinuity at in the sense that
[TABLE]
for some universal and for . Clearly there is no analogous upper semicontinuity in this example, contrary to the situation in which there is a uniform lower Ricci bound.
In situations where we do have uniform estimates relating or with for , one might expect better behaviour. Indeed, one might be able to analyse the limit alone if one had a positive answer to the following, cf. [14, 3]:
Problem 1.2**.**
Suppose is a smooth compact Riemannian manifold and is a smooth Ricci flow on for with the property that uniformly as . Is it then true that extends to a smooth Ricci flow for with ?
Thus the question is whether attainment of initial data in a metric sense implies attainment of the initial data smoothly.
This problem is open even in extremely simple situations such as when is the flat unit square torus as before. The problem is then to show that the only Ricci flow on for with uniformly as is the stationary flow . It is not even immediate that such a Ricci flow is conformally equivalent to . What is currently understood in this situation, thanks to the work of T. Richard [14], is that if we additionally impose a hypothesis of a lower Ricci bound for (equivalent here to a lower Gauss curvature bound) then we must indeed have . The higher dimensional case is addressed in concurrent work of A. Deruelle, F. Schulze and M. Simon [4] in the presence of both an upper curvature bound and a uniform lower Ricci bound.
2 The construction
With respect to coordinates on coming from the Euclidean coordinates , we can write . Given an initial metric , where is smooth, there exists a unique subsequent Ricci flow of the form , where the smooth function solves
[TABLE]
as described by Hamilton [7] (see [5, 19] for the general theory on surfaces). By Gauss-Bonnet, the area is constant, because
[TABLE]
see e.g. [18, (2.5.8)]. It is often convenient to work with the function , which then satisfies the equation , and we view this solution lifted to whenever convenient. A solution whose norm is initially bounded by retains this bound by the maximum principle, and parabolic regularity theory gives bounds at, say, time , depending only on and . (See, for example, the discussion in Appendix B of [6].) In particular, by applying this estimate to rescaled solutions , for , we find that
[TABLE]
and in particular we can control the Gauss curvature by
[TABLE]
(In fact, we always have , see e.g. [18, Corollary 3.2.5].)
The specific Ricci flows will be determined by their initial data , which in turn will be chosen to be an appropriate -dependent function times . Thus as above we can write , for a one parameter family of functions . Our task is to choose the functions appropriately.
We will choose the functions to lie always within . As above, this property is then preserved by the flow, i.e. throughout and for each .
For each , consider the lattice of points in represented by points in , where . For each pair of points in this lattice, choose a minimising geodesic connecting them within . Denote the union of the images of this finite number of geodesics by . We ask that takes the value on the whole of . We can then extend to a smooth function with almost-maximal area in the sense that . (Note that the area would be exactly if we could choose .) In particular, .
Since , the distance between any two points with respect to must be at least . On the other hand, we can always find a point in the lattice such that the distance from to is less than when measured with respect to or even with respect to or . Similarly we can find a lattice point close to . Since on , the distance between lattice points with respect to is equal to the distance with respect to . Thus
[TABLE]
and we see that converges uniformly to as , as required.
We now turn to the subsequent flows . By the discussion above, we have , or equivalently
[TABLE]
Moreover, the flows satisfy a uniform Gauss curvature estimate , for some universal , as required. Their conformal factors also enjoy uniform bounds for any over , any , where the bounds depend on and . Thus a subsequence will converge smoothly locally on (as tensors) to a limit Ricci flow . By passing (2.3) to the limit, we find that .
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1[1]
- 2[2] R. Bamler , E. Cabezas-Rivas and B. Wilking , The Ricci flow under almost non-negative curvature conditions. Inventiones 217 (2019) 95–126.
- 3[3] A. Deruelle , Private communication, 2014.
- 4[4] A. Deruelle , F. Schulze and M. Simon , On the regularity of Ricci flows coming out of metric spaces. http://arxiv.org/abs/1904.11870
- 5[5] G. Giesen and P. M. Topping , Existence of Ricci flows of incomplete surfaces. Comm. Partial Differential Equations, 36 (2011) 1860–1880.
- 6[6] G. Giesen , Instantaneously complete Ricci flows on surfaces. Ph D thesis, University of Warwick, 2012.
- 7[7] R.S. Hamilton , The Ricci flow on surfaces . Mathematics and general relativity (Santa Cruz, CA, 1986) , 71 Contemporary Mathematics , 237–262. American Mathematical Society, Providence, RI, 1988.
- 8[8] R. S. Hamilton , The formation of singularities in the Ricci flow. Surveys in differential geometry, Vol. II (Cambridge, MA, 1993) 7–136, Internat. Press, Cambridge, MA, 1995.
