Book 6A

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Course 6Book 6A: The Heat Equation and Its RelativesChapter 8

Curve Shortening and the First Geometric Flows

Shrinking circles, grim reapers, neckpinches and Huisken’s monotonicity, seen in the plane.

25 min read · Updated Oct 3, 2026

None of the Path's books covers this chapter; it is a seam. For more, read Gage and Hamilton, "The heat equation shrinking convex plane curves" (J. Differential Geom. 23, 1986), and Grayson, "The heat equation shrinks embedded plane curves to round points" (J. Differential Geom. 26, 1987). Chou and Zhu, The Curve Shortening Problem, is a book-length reference; Mantegazza's Lecture Notes on Mean Curvature Flow covers surfaces.

In this chapter · 9 sections
  1. 8.1Grain boundaries move by curvature
  2. 8.2Curves, curvature and the flow
  3. 8.3Length and area
  4. 8.4Exact solutions
  5. 8.5The theorems
  6. 8.6Mean curvature flow and the neckpinch
  7. 8.7Huisken's monotonicity formula
  8. 8.8History
  9. 8.9Exercises

Before the Ricci flow moves metrics, there are flows that move shapes you can draw. The simplest is curve shortening: a closed curve in the plane moves at each point with velocity equal to its curvature vector, so bends straighten and the curve shrinks. It is a heat equation for the curve, and almost every phenomenon of the Ricci flow can be seen in it first, in a picture. Round curves shrink self-similarly to a point, as round spheres do under Ricci flow. There are solitons that translate without changing shape. There are ancient solutions that exist for all negative time. Arbitrary embedded curves become convex and then round before they disappear, which is the planar version of Hamilton's 1982 theorem. And when the same flow acts on surfaces, as mean curvature flow, a dumbbell develops a thin neck that pinches off: the picture that gave the "neckpinch" its name.

Huisken's monotonicity formula, at the end of the chapter, is the first of the Gaussian-weighted monotone quantities of which Perelman's reduced volume is the Ricci flow version.

By the end of this chapter you will be able to:

  • define the curvature of a plane curve and the curve shortening flow, and write it as a quasilinear heat equation;
  • compute the evolution of length and enclosed area, and deduce a bound on the extinction time;
  • verify the shrinking circle, the grim reaper and the paperclip as exact solutions;
  • state the theorems of Gage–Hamilton and Grayson, and the avoidance principle;
  • describe mean curvature flow, the dumbbell neckpinch, and Huisken's monotonicity formula.

Grain boundaries move by curvature

In the world Model Grain growth in metals

A metal is made of many small crystals, or grains, separated by grain boundaries. The boundaries carry an energy per unit area (surface tension), and at high temperature atoms hop across them, so the boundaries move to reduce their total energy. In the idealised model of William Mullins (Journal of Applied Physics, 1956), each boundary moves with normal velocity proportional to its mean curvature: in a thin film, where the grains are effectively two-dimensional, the boundaries are curves moving by curve shortening. Large grains grow and small ones shrink and vanish, and the average grain size increases with time, which is why annealing coarsens a metal's microstructure.

The two-dimensional model has a beautiful exact consequence, found by John von Neumann in 1952 for soap froths and by Mullins for grains: a grain with nn sides, meeting its neighbours at 120°120° angles at triple junctions, changes area at the constant rate

dAdt=π3Mγ (n−6),\frac{dA}{dt} = \frac{\pi}{3}M\gamma\,(n - 6),

where MM is the boundary mobility and γ\gamma the boundary energy. Grains with fewer than six sides shrink, those with more grow, and hexagons stay the same size, whatever their shape (Exercise 8.10). The proof is the area formula of this chapter plus the turning of the tangent at the triple junctions. Real grain boundaries are anisotropic (energy and mobility depend on the orientations of the crystals on both sides), so curvature flow is an idealisation, and measured grain growth departs from it in ways that are an active subject of materials research.

Curves, curvature and the flow

Let γ:R/Z→R2\gamma : \mathbb{R}/\mathbb{Z} \to \mathbb{R}^2 be a smooth closed curve with ∣γ′∣>0|\gamma'| > 0, and ss its arc length. The unit tangent is T=γsT = \gamma_s, and the unit normal NN is TT rotated by +90°+90°. If θ\theta is the angle of TT, the curvature is

κ=dθds,γss=Ts=κN.\kappa = \frac{d\theta}{ds}, \qquad \gamma_{ss} = T_s = \kappa N.

For a circle of radius rr traversed counterclockwise, κ=1/r\kappa = 1/r and NN points to the centre. For any closed embedded curve traversed counterclockwise, the tangent turns once, so

∫0Lκ ds=2π\int_0^L\kappa\,ds = 2\pi

(Hopf's Umlaufsatz, the theorem of turning tangents; 8A.9 The Curvature of Surfaces treats it with Gauss–Bonnet). The vector κN=γss\kappa N = \gamma_{ss} is the curvature vector.

Definition 8.1 Curve shortening flow

A family of closed curves γ(⋅,t)\gamma(\cdot, t) moves by curve shortening flow if

∂tγ=κN=γss.\partial_t\gamma = \kappa N = \gamma_{ss}.

The second form looks exactly like the heat equation, γt=γss\gamma_t = \gamma_{ss}, but it is not linear: arc length ss depends on the curve itself. Writing the curve locally as a graph y=u(x,t)y = u(x, t) and allowing tangential motion, the flow becomes (Exercise 8.5)

ut=uxx1+ux2,u_t = \frac{u_{xx}}{1 + u_x^2},

a quasilinear parabolic equation, strictly parabolic since 11+ux2>0\frac{1}{1 + u_x^2} > 0. So short-time existence follows from 6A.7 Nonlinear Parabolic Equations, and the comparison principle of 6A.4 Maximum Principles applies. Its geometric form is the avoidance principle: two disjoint closed curves moving by curve shortening stay disjoint, and an embedded curve stays embedded. A curve inside a circle stays inside the shrinking circle, and so must disappear no later than the circle does.

Tangential motion only reparametrises the curve, so the flow is really about the normal velocity, which equals the curvature. This is the first appearance of the theme that becomes DeTurck's trick for the Ricci flow (11A.3 Short-Time Existence and Uniqueness): a geometric flow is determined only up to reparametrisation, and choosing a good parametrisation turns a degenerate equation into a strictly parabolic one.

Length and area

Proposition 8.2 Evolution of length and area

Under curve shortening flow of a closed embedded curve, the length LL and enclosed area AA satisfy

dLdt=−∫0Lκ2 ds,dAdt=−∫0Lκ ds=−2π.\frac{dL}{dt} = -\int_0^L\kappa^2\,ds, \qquad \frac{dA}{dt} = -\int_0^L\kappa\,ds = -2\pi.

Proof. For a variation with normal velocity VV (here ∂tγ=VN\partial_t\gamma = VN with V=κV = \kappa), the length element ds=∣γp∣ dpds = |\gamma_p|\,dp changes at the rate ∂t∣γp∣=−κV∣γp∣\partial_t|\gamma_p| = -\kappa V|\gamma_p| (Exercise 8.6), so dLdt=−∫κV ds=−∫κ2 ds\frac{dL}{dt} = -\int\kappa V\,ds = -\int\kappa^2\,ds. The enclosed area changes by the normal velocity integrated along the boundary, dAdt=−∫V ds\frac{dA}{dt} = -\int V\,ds (inward motion decreases the area), which is −∫κ ds=−2π-\int\kappa\,ds = -2\pi by the theorem of turning tangents.

The first formula says that curve shortening decreases length as fast as possible: it is the gradient flow of length (6A.9 Calculus of Variations and Gradient Flows), which is where its name comes from. The second has a startling consequence: the area decreases at exactly 2π2\pi per unit time, for every embedded curve, so a curve enclosing area AA cannot exist beyond time A2π\frac{A}{2\pi}. Grayson's theorem below says that it exists exactly until then, shrinking to a point at T=A2πT = \frac{A}{2\pi} (Figure 8.1).

Figure 8.1. Curve shortening flow from the non-convex curve r=1+0.35cos⁡3θr = 1 + 0.35\cos3\theta (computed with 300 points, explicit time steps and resampling by arc length), at t=0,0.1,0.2,0.3,0.4,0.5t = 0, 0.1, 0.2, 0.3, 0.4, 0.5. The initial area is A=π(1+0.352/2)≈3.334A = \pi(1 + 0.35^2/2) \approx 3.334, so the curve must vanish at t=A/2π≈0.531t = A/2\pi \approx 0.531; in the computation the area decreased at a rate within 1%1\% of 2π2\pi. The dents disappear first, then the curve rounds out.

Exact solutions

The shrinking circle. A circle of radius r(t)r(t) centred at the origin moves inward at speed κ=1/r\kappa = 1/r, so r′=−1/rr' = -1/r and

r(t)2=r02−2t.r(t)^2 = r_0^2 - 2t.

It shrinks homothetically and disappears at t=r02/2t = r_0^2/2, exactly the area bound πr02/2π\pi r_0^2/2\pi. It is a shrinking soliton: it changes only by scaling. Compare the round sphere under Ricci flow, g(t)=(1−2(n−1)t)g0g(t) = (1 - 2(n - 1)t)g_0 (6A.1 What a PDE Is).

The grim reaper. The graph y=t−log⁡cos⁡xy = t - \log\cos x, ∣x∣<π2|x| < \frac\pi2, satisfies ut=1=uxx1+ux2u_t = 1 = \frac{u_{xx}}{1 + u_x^2}, since ux=tan⁡xu_x = \tan x and uxx=sec⁡2xu_{xx} = \sec^2x (Exercise 8.7). It moves upward at unit speed without changing shape: a translating soliton. It is the curve-shortening analogue of the steady solitons of the Ricci flow, such as the cigar (5A.5 Uniformization and the Two-Dimensional Ricci Flow, 11B.1 Ricci Solitons).

The paperclip. For t<0t < 0, the curves

etcosh⁡x=cos⁡y,∣y∣<π2,e^t\cosh x = \cos y, \qquad |y| < \frac\pi2,

form a solution of curve shortening (Exercise 8.8). For very negative tt the curve is long and thin, made of two grim reapers joined end to end; as t→0t \to 0 it becomes round and shrinks to the origin. It exists for all negative times, so it is an ancient solution, and it is not self-similar. It is the model of the ancient ovals of the Ricci flow and mean curvature flow, and an example of the kind of solution that blow-up limits produce (6A.7 Nonlinear Parabolic Equations, 11B.2 Ancient Solutions and the Harnack Inequality).

Figure 8.2. Exact solutions of curve shortening (computed from the formulas). Left: the shrinking circle, a shrinking soliton. Middle: the grim reaper y=t−log⁡cos⁡xy = t - \log\cos x at t=0,1,2t = 0, 1, 2, a translating soliton. Right: the paperclip etcosh⁡x=cos⁡ye^t\cosh x = \cos y at t=−4,−2.5,−1,−0.2t = -4, -2.5, -1, -0.2 (same scale in both directions): an ancient solution that looks like two grim reapers at early times and like a shrinking circle near its extinction time t=0t = 0.

The theorems

Theorem 8.3 Gage–Hamilton (1986)

A smooth closed convex curve moving by curve shortening stays convex and shrinks to a point in finite time. After rescaling to enclose a fixed area, it converges smoothly to a round circle.

Theorem 8.4 Grayson (1987)

A smooth closed embedded curve moving by curve shortening becomes convex in finite time, and then, by Gage–Hamilton, shrinks to a round point. In particular every embedded closed curve exists until exactly T=A/2πT = A/2\pi.

Together: every embedded closed curve becomes round before it disappears, with nothing else possible. The proofs combine maximum principles for the curvature, which evolves by κt=κss+κ3\kappa_t = \kappa_{ss} + \kappa^3 (Exercise 8.9), monotone quantities, and blow-up analysis. Gage–Hamilton is the precise analogue of Hamilton's 1982 theorem that a three-manifold with positive Ricci curvature flows to a round metric (11A.6 Hamilton’s 1982 Theorem), and the reason is shared: positivity of curvature is preserved, and the flow then makes curvature more uniform. Grayson's theorem has no exact Ricci flow analogue in dimension three: there, as the next section's picture shows, singularities can form before anything becomes round, and that is why surgery is needed.

Mean curvature flow and the neckpinch

The same flow makes sense for surfaces in R3\mathbb{R}^3, and hypersurfaces in Rn+1\mathbb{R}^{n+1}: each point moves with normal velocity equal to the mean curvature HH, the sum of the principal curvatures (8A.9 The Curvature of Surfaces). This is mean curvature flow, the gradient flow of area, and it is a quasilinear parabolic system for the surface. A round sphere of radius rr in Rn+1\mathbb{R}^{n+1} has H=n/rH = n/r and shrinks with r2=r02−2ntr^2 = r_0^2 - 2nt; a round cylinder Sn−1×RS^{n-1}\times\mathbb{R} shrinks with r2=r02−2(n−1)tr^2 = r_0^2 - 2(n - 1)t, keeping its axis. Gerhard Huisken proved in 1984 that convex surfaces shrink to round points, the analogue of Gage–Hamilton.

But Grayson's theorem fails for surfaces. Matthew Grayson observed in 1989 that a dumbbell, two large spheres joined by a thin neck, does not become convex: the neck has large curvature around it and pinches off first, while the two bulbs are still large (Figure 8.3). Near the pinch the surface looks like a shrinking cylinder. After the pinch, the two pieces become convex and shrink to round points separately.

Figure 8.3. Schematic of Grayson's dumbbell under mean curvature flow (profiles of a surface of revolution, drawn for illustration, not computed). The neck, where the curvature around the axis is largest, shrinks like a cylinder and pinches before the bulbs become convex. This is the neckpinch; the Ricci flow on S3S^3 with a thin neck has the same behaviour (11B.4 Singularities), and Perelman's surgery cuts along such necks (12B.4 Surgery).
In the world In use Level-set methods

Moving a front by its curvature is a standard operation in computing: in image segmentation (curves that shrink onto the edges of an object), in computer graphics, and in simulating interfaces between fluids or phases. Stanley Osher and James Sethian's level-set method (1988) represents the moving front as the zero level set of a function ϕ(x,t)\phi(x, t) and evolves ϕ\phi by a PDE, so that the front moves with the prescribed normal velocity. For motion by curvature the PDE is ϕt=∣∇ϕ∣div⁡(∇ϕ∣∇ϕ∣)\phi_t = |\nabla\phi|\operatorname{div}\big(\frac{\nabla\phi}{|\nabla\phi|}\big). The advantage is that changes of topology, such as a front splitting at a neckpinch, are handled automatically, since the level set of a smooth function can change topology without anything going wrong with the function. The same idea gives a weak notion of mean curvature flow through singularities (Evans–Spruck and Chen–Giga–Goto, 1991).

In the world Analogy A dripping tap

A drop of water separating from a tap develops a thin neck that pinches off in finite time, and at first sight it looks like the dumbbell's neckpinch: a thin neck, thinning fastest where it is thinnest, until it breaks.

Where the picture breaks Where the picture breaks

The fluid neck is driven by surface tension against inertia and viscosity (the Rayleigh–Plateau instability and the Navier–Stokes equations), not by moving each point with velocity equal to its curvature. Mean curvature flow has no inertia: the surface has no momentum. The self-similar shapes near a fluid pinch are different from the shrinking cylinder of mean curvature flow, and the rates differ. What the two share is only that a thin neck is the least stable part of a shape.

Huisken's monotonicity formula

How can one analyse the moment of pinching? Gerhard Huisken found in 1990 a quantity that is monotone along every mean curvature flow. Fix a point x0x_0 in space and a time t0t_0, and weight the surface MtM_t by the backward heat kernel centred there:

Θ(t)=∫Mt1(4π(t0−t))n/2e−∣x−x0∣24(t0−t) dμ,t<t0,\Theta(t) = \int_{M_t}\frac{1}{(4\pi(t_0 - t))^{n/2}}e^{-\frac{|x - x_0|^2}{4(t_0 - t)}}\,d\mu, \qquad t < t_0,

for an nn-dimensional surface. Then

dΘdt=−∫Mt∣H⃗+(x−x0)⊥2(t0−t)∣2e−∣x−x0∣24(t0−t)(4π(t0−t))n/2 dμ≤0,\frac{d\Theta}{dt} = -\int_{M_t}\Big|\vec H + \frac{(x - x_0)^\perp}{2(t_0 - t)}\Big|^2\frac{e^{-\frac{|x - x_0|^2}{4(t_0 - t)}}}{(4\pi(t_0 - t))^{n/2}}\,d\mu \leq 0,

where H⃗\vec H is the mean curvature vector and ⊥^\perp the normal component. The Gaussian-weighted area never increases, and it is constant exactly when the surface is a self-similarly shrinking solution centred at (x0,t0)(x_0, t_0). At a singular point, rescaling and passing to the limit therefore produces a self-shrinker; in the neckpinch it is the round cylinder.

Where this goes Perelman's reduced volume

Perelman's reduced volume (12A.5 Reduced Distance and Reduced Volume) is Huisken's formula transplanted to the Ricci flow: a heat-kernel-weighted volume, based at a point of space-time, that is monotone along every Ricci flow and constant exactly on shrinking solitons. The weight is again a backward Gaussian, (4πτ)−n/2e−ℓ(4\pi\tau)^{-n/2}e^{-\ell}, with ℓ\ell playing the role of ∣x−x0∣24τ\frac{|x - x_0|^2}{4\tau}. It is the key to Perelman's noncollapsing theorem and to the classification of singularity models, and 12A.5 Reduced Distance and Reduced Volume draws the two formulas side by side.

History

Curve shortening was studied by Mullins (1956) as a model of grain growth, and its mathematics by Michael Gage, Richard Hamilton and Matthew Grayson in the 1980s: Gage–Hamilton's convex theorem appeared in 1986 and Grayson's embedded theorem in 1987. Kenneth Brakke introduced mean curvature flow of general surfaces in geometric measure theory in 1978. Gerhard Huisken's convex theorem dates from 1984 and his monotonicity formula from 1990. Grayson's dumbbell example appeared in 1989. Panagiota Daskalopoulos, Richard Hamilton and Nataša Šešum proved in 2010 that the shrinking circle and the paperclip are the only compact convex ancient solutions. Osher and Sethian's level-set method dates from 1988, and the weak level-set theory of mean curvature flow from 1991. Von Neumann's n−6n - 6 rule was published in 1952.

Recall Where we stand

Curve shortening ∂tγ=κN\partial_t\gamma = \kappa N is a quasilinear heat equation for a curve, with comparison and avoidance principles. Length decreases at the rate ∫κ2\int\kappa^2 (it is the gradient flow of length) and enclosed area at exactly 2π2\pi, so a curve of area AA disappears by A/2πA/2\pi. The shrinking circle, the grim reaper and the paperclip are a shrinking soliton, a translating soliton and an ancient solution. Gage–Hamilton and Grayson: every embedded curve becomes convex and round before vanishing. For surfaces, mean curvature flow can form neckpinches first. Huisken's Gaussian-weighted area is monotone and constant only on self-shrinkers. 6A.9 Calculus of Variations and Gradient Flows makes "gradient flow" precise.

Exercises

Exercise 8.5 Curve shortening for graphs

Let the curve be the graph y=u(x,t)y = u(x, t). (a) Show that its curvature is κ=uxx(1+ux2)3/2\kappa = \frac{u_{xx}}{(1 + u_x^2)^{3/2}} and its upward unit normal is N=(−ux,1)1+ux2N = \frac{(-u_x, 1)}{\sqrt{1 + u_x^2}}. (b) The vertical velocity of the graph is utu_t, and its normal component is ut1+ux2\frac{u_t}{\sqrt{1 + u_x^2}}. Setting this equal to κ\kappa, derive ut=uxx1+ux2u_t = \frac{u_{xx}}{1 + u_x^2}.

Exercise 8.6 The first variation of length

Let γ(p,t)\gamma(p, t) with ∂tγ=VN\partial_t\gamma = VN. Show that ∂t∣γp∣=−κV∣γp∣\partial_t|\gamma_p| = -\kappa V|\gamma_p|. (Differentiate ∣γp∣2=γp⋅γp|\gamma_p|^2 = \gamma_p\cdot\gamma_p in tt, and use Np=−κT∣γp∣N_p = -\kappa T|\gamma_p|, the Frenet formula.)

Solution

∂t∣γp∣2=2γp⋅∂p(VN)=2γp⋅(VpN+VNp)=2Vγp⋅Np=2V∣γp∣T⋅(−κT∣γp∣)=−2κV∣γp∣2\partial_t|\gamma_p|^2 = 2\gamma_p\cdot\partial_p(VN) = 2\gamma_p\cdot(V_pN + VN_p) = 2V\gamma_p\cdot N_p = 2V|\gamma_p|T\cdot(-\kappa T|\gamma_p|) = -2\kappa V|\gamma_p|^2, using γp⋅N=0\gamma_p\cdot N = 0. Divide by 2∣γp∣2|\gamma_p|.

Exercise 8.7 The grim reaper

Verify that u=t−log⁡cos⁡xu = t - \log\cos x solves ut=uxx1+ux2u_t = \frac{u_{xx}}{1 + u_x^2}, and show that it is the only translating solution of the graph equation with speed 11 that is defined on a maximal interval and symmetric about x=0x = 0 (solve u′′1+u′2=1\frac{u''}{1 + u'^2} = 1 for v=u′v = u').

Solution

ux=tan⁡xu_x = \tan x, uxx=sec⁡2x=1+ux2u_{xx} = \sec^2x = 1 + u_x^2. For translators u=t+w(x)u = t + w(x): w′′1+w′2=1\frac{w''}{1 + w'^2} = 1, so arctan⁡w′=x+c\arctan w' = x + c, and symmetry gives c=0c = 0, w′=tan⁡xw' = \tan x, w=−log⁡cos⁡xw = -\log\cos x on (−π2,π2)(-\frac\pi2, \frac\pi2).

Exercise 8.8 The paperclip

Let F(x,y,t)=etcosh⁡x−cos⁡yF(x, y, t) = e^t\cosh x - \cos y, so the curve is {F=0}\{F = 0\} with F<0F < 0 inside. A level set of FF moves by curve shortening when Ft∣∇F∣2=FxxFy2−2FxyFxFy+FyyFx2F_t|\nabla F|^2 = F_{xx}F_y^2 - 2F_{xy}F_xF_y + F_{yy}F_x^2 on it (the right side divided by ∣∇F∣3|\nabla F|^3 is the curvature, and −Ft/∣∇F∣-F_t/|\nabla F| is the outward normal velocity). Verify this identity on {F=0}\{F = 0\}, using cos⁡y=etcosh⁡x\cos y = e^t\cosh x there.

Solution

Ft=etcosh⁡xF_t = e^t\cosh x, Fx=etsinh⁡xF_x = e^t\sinh x, Fy=sin⁡yF_y = \sin y, Fxx=etcosh⁡xF_{xx} = e^t\cosh x, Fyy=cos⁡yF_{yy} = \cos y, Fxy=0F_{xy} = 0. Left: etcosh⁡x (e2tsinh⁡2x+sin⁡2y)e^t\cosh x\,(e^{2t}\sinh^2x + \sin^2y). Right: etcosh⁡xsin⁡2y+cos⁡y e2tsinh⁡2xe^t\cosh x\sin^2y + \cos y\,e^{2t}\sinh^2x, and on the curve cos⁡y=etcosh⁡x\cos y = e^t\cosh x, so the two agree.

Exercise 8.9 How curvature evolves

Under curve shortening, using ∂t\partial_t and ∂s\partial_s with ∂t∂s=∂s∂t+κ2∂s\partial_t\partial_s = \partial_s\partial_t + \kappa^2\partial_s (because arc length shrinks at the rate κ2\kappa^2), show that κt=κss+κ3\kappa_t = \kappa_{ss} + \kappa^3. Deduce from the maximum principle (6A.4 Maximum Principles) that convexity (κ>0\kappa > 0) is preserved, and compare with the ODE y′=y3y' = y^3, which blows up: curvature becomes infinite in finite time, as at the extinction of a shrinking circle.

Exercise 8.10 The n−6n - 6 rule

A grain is an nn-sided region whose sides move by V=MγκV = M\gamma\kappa, meeting at triple junctions where three boundaries meet at 120°120°. (a) Show that dAdt=−Mγ∫∂κ ds\frac{dA}{dt} = -M\gamma\int_{\partial}\kappa\,ds. (b) Going around the grain, the tangent turns by ∫κ ds\int\kappa\,ds along the sides plus the exterior angle π3\frac\pi3 at each of the nn corners, and the total is 2π2\pi. Deduce ∫κ ds=2π−nπ3\int\kappa\,ds = 2\pi - \frac{n\pi}{3} and von Neumann's law dAdt=π3Mγ(n−6)\frac{dA}{dt} = \frac\pi3M\gamma(n - 6).

Solution

(a) As in Proposition 8.2, with V=MγκV = M\gamma\kappa. (b) The interior angle at each junction is 120°120°, so the tangent turns by 180°−120°=60°=π3180° - 120° = 60° = \frac\pi3 there. So ∫κ ds+nπ3=2π\int\kappa\,ds + \frac{n\pi}{3} = 2\pi, and dAdt=−Mγ(2π−nπ3)=π3Mγ(n−6)\frac{dA}{dt} = -M\gamma(2\pi - \frac{n\pi}{3}) = \frac{\pi}{3}M\gamma(n - 6).

Exercise 8.11 Rehearsal: the Gaussian density of a shrinking circle

For the shrinking circle r(t)2=2(t0−t)r(t)^2 = 2(t_0 - t), which disappears at t0t_0, compute Huisken's density centred at the origin and t0t_0, with n=1n = 1:

Θ(t)=∫circlee−∣x∣2/4(t0−t)4π(t0−t) ds.\Theta(t) = \int_{\text{circle}}\frac{e^{-|x|^2/4(t_0 - t)}}{\sqrt{4\pi(t_0 - t)}}\,ds.

Show that it is constant, equal to 2π/e≈1.52\sqrt{2\pi/e} \approx 1.52, as the monotonicity formula requires for a self-shrinker. Check also that H⃗+x⊥2(t0−t)=0\vec H + \frac{x^\perp}{2(t_0 - t)} = 0 on the circle. Perelman's reduced volume of a shrinking soliton is constant for the same reason (12A.5 Reduced Distance and Reduced Volume).

Solution

On the circle ∣x∣2=r2=2τ|x|^2 = r^2 = 2\tau with τ=t0−t\tau = t_0 - t, so the integrand is constant: e−1/24πτ⋅2πr=e−1/2 2π2τ2πτ=2π e−1/2\frac{e^{-1/2}}{\sqrt{4\pi\tau}}\cdot2\pi r = \frac{e^{-1/2}\,2\pi\sqrt{2\tau}}{2\sqrt{\pi\tau}} = \sqrt{2\pi}\,e^{-1/2}. The curvature vector points inward with length 1r\frac1r, so H⃗=−xr2=−x2τ\vec H = -\frac{x}{r^2} = -\frac{x}{2\tau}, and xx is normal to the circle, so H⃗+x⊥2τ=0\vec H + \frac{x^\perp}{2\tau} = 0.

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