Book 6C

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Course 6Book 6C: Nonlinear PDE: Variational and Geometric MethodsChapter 12

Quasilinear Parabolic Systems

Short-time existence for quasilinear parabolic systems in full, and why the Ricci flow needs DeTurck.

42 min read · Updated Oct 23, 2026

Read with Taylor III, §15.7–15.8 (quasilinear parabolic equations and systems, short-time existence), and Ladyzhenskaya, Solonnikov and Ural'tseva, Linear and Quasilinear Equations of Parabolic Type (chapters IV and VII), for the linear Schauder theory of parabolic systems. Lieberman, Second Order Parabolic Differential Equations, covers the scalar case. Hamilton, "Three-manifolds with positive Ricci curvature" (J. Differential Geom. 17, 1982), sections 3–6, and DeTurck, "Deforming metrics in the direction of their Ricci tensors" (J. Differential Geom. 18, 1983), are the sources for the Ricci flow. This chapter proves the Fourier criterion for constant coefficients, the short-time gain lemma, short-time existence and uniqueness for quasilinear systems whose leading coefficients depend on uu but not on ∇u\nabla u (the case of the Ricci–DeTurck flow) by contraction, with the linear Schauder theory stated, and computes the symbol of the Ricci flow and of DeTurck's modification.

In this chapter · 8 sections
  1. 12.1Stripes and spots
  2. 12.2The principal symbol
  3. 12.3Linear theory (statement)
  4. 12.4Short-time existence
  5. 12.5The symbol of the Ricci flow
  6. 12.6DeTurck's trick
  7. 12.7History
  8. 12.8Exercises
  9. ↗Free resources

6C.11 Optimal Transport and Ricci Curvature ended with the Ricci flow characterised by how it moves probability measures. To use the Ricci flow at all one must first solve it, and that is a question about systems. The equations of geometric analysis are mostly systems: the unknown is a map (harmonic map flow), a metric (Ricci flow), an immersion (mean curvature flow), with several components coupled through their second derivatives. Scalar intuition is a dangerous guide to systems. The maximum principle, the backbone of Books 6A and 6B, fails for general systems (Exercise 12.8); what survives is the theory based on Fourier analysis and energy, organised around the principal symbol.

This chapter does three things. It defines parabolicity for systems through the symbol and shows why that is the right condition. It proves short-time existence and uniqueness for quasilinear parabolic systems, by linearising and applying the contraction mapping principle of 6A.8 Nonlinear Parabolic Equations, using the linear Schauder theory as a black box. And it computes the symbol of the Ricci flow, finds the nn-dimensional kernel forced by diffeomorphism invariance, and shows how DeTurck's modification removes it, so that the existence theorem applies. This is the analytic foundation of 11A.4 Short-Time Existence and Uniqueness.

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

  • compute the principal symbol of a second-order system and decide whether it is strongly parabolic;
  • solve constant-coefficient parabolic systems by Fourier transform, and show that a degenerate or negative symbol destroys smoothing or well-posedness;
  • prove that a function vanishing at t=0t = 0 is small in a lower parabolic Hölder norm on a short time interval, and use it to prove short-time existence and uniqueness by contraction;
  • compute the symbol of −2Ric⁡-2\operatorname{Ric}, its kernel, and its eigenvalues;
  • show that the Ricci–DeTurck flow is strongly parabolic, with symbol ∣ξ∣2|\xi|^2 times the identity.

Stripes and spots

In the world Model Turing patterns

In 1952 Alan Turing proposed that patterns in living tissue, such as stripes, spots and the spacing of tentacles, could arise from two chemicals ("morphogens") that react and diffuse at different rates. His model is a reaction–diffusion system

∂tu=D ∂x2u+f(u),u=(u1,u2),D=diag⁡(d1,d2).\partial_tu = D\,\partial_x^2u + f(u), \qquad u = (u_1, u_2), \qquad D = \operatorname{diag}(d_1, d_2).

The surprise is that diffusion, which for a single equation only smooths and stabilises, can destabilise a system: a uniform state that is stable without diffusion can become unstable when the two species diffuse at different speeds, and the unstable modes have a definite wavelength, which sets the spacing of the pattern (Exercise 12.8). Turing patterns were produced in a chemical reaction (the CIMA reaction) by Castets, Dulos, Boissonade and De Kepper in 1990, and Shigeru Kondo and Rihito Asai argued in 1995 that the moving stripes on the skin of the marine angelfish Pomacanthus behave as a Turing system predicts.

For this chapter the lesson is negative and important. A system can be perfectly parabolic, with every component smoothing, and still have no maximum principle, no invariant regions except special ones, and solutions that grow. Hamilton's tensor maximum principle for the Ricci flow (11A.7 Maximum Principles under Ricci Flow) works because the reaction terms of the curvature equation have special structure, not because parabolic systems obey maximum principles in general.

The principal symbol

Let u:Rn×[0,T)→RNu : \mathbb{R}^n\times[0, T) \to \mathbb{R}^N (or uu a section of a vector bundle over a manifold), and consider a second-order quasilinear system

∂tua=aabij(x,u,∇u) ∂ijub+ba(x,u,∇u),a=1,…,N,(Q)\partial_tu^a = a^{ij}_{ab}(x, u, \nabla u)\,\partial_{ij}u^b + b^a(x, u, \nabla u), \qquad a = 1, \ldots, N, \tag{Q}

with summation over i,ji, j and bb. The principal symbol at (x,u,∇u)(x, u, \nabla u) in the direction ξ∈Rn\xi \in \mathbb{R}^n is the N×NN\times N matrix obtained by replacing each ∂i\partial_i in the top-order part by ξi\xi_i:

σ(ξ)ab=aabij ξiξj.\sigma(\xi)_{ab} = a^{ij}_{ab}\,\xi_i\xi_j.
Definition 12.1 Strong parabolicity

The system (Q) is strongly parabolic (in the sense of Petrovskii and of Legendre–Hadamard) at a function uu if there is λ>0\lambda > 0 with

⟨σ(ξ)η,η⟩=aabij ξiξj ηaηb≥λ∣ξ∣2∣η∣2for all ξ∈Rn, η∈RN,\big\langle\sigma(\xi)\eta, \eta\big\rangle = a^{ij}_{ab}\,\xi_i\xi_j\,\eta^a\eta^b \geq \lambda|\xi|^2|\eta|^2 \quad\text{for all } \xi \in \mathbb{R}^n,\ \eta \in \mathbb{R}^N,

at every point. It is weakly parabolic if the eigenvalues of σ(ξ)\sigma(\xi) are non-negative but some vanish.

For a scalar equation (N=1N = 1) this is ordinary uniform parabolicity. For diagonal systems aabij=aijδaba^{ij}_{ab} = a^{ij}\delta_{ab}, such as the harmonic map heat flow (σ(ξ)=∣ξ∣2I\sigma(\xi) = |\xi|^2I, 6C.7 Harmonic Maps and Their Heat Flow) or the Ricci–DeTurck flow below, it is the same condition for each component. In general the condition involves only rank-one tensors ξ⊗η\xi\otimes\eta, which is weaker than positivity of aa on all of RnN\mathbb{R}^{nN} (the Legendre condition).

Why the symbol? Freeze the coefficients at a point and drop lower-order terms: ∂tu=aij∂iju\partial_tu = a^{ij}\partial_{ij}u with constant matrices aija^{ij}. Fourier transform in xx turns it into the ODE system ∂tu^(ξ,t)=−σ(ξ)u^(ξ,t)\partial_t\hat u(\xi, t) = -\sigma(\xi)\hat u(\xi, t), so u^(ξ,t)=e−tσ(ξ)u^0(ξ)\hat u(\xi, t) = e^{-t\sigma(\xi)}\hat u_0(\xi).

Proposition 12.2 The Fourier criterion

Let aabija^{ij}_{ab} be constant.

  1. If the system is strongly parabolic with constant λ\lambda, then for u0∈L2(Rn;RN)u_0 \in L^2(\mathbb{R}^n; \mathbb{R}^N), ∥u^(ξ,t)∥≤e−λ∣ξ∣2t∥u^0(ξ)∥\|\hat u(\xi, t)\| \leq e^{-\lambda|\xi|^2t}\|\hat u_0(\xi)\|, so ∥u(t)∥L2≤∥u0∥L2\|u(t)\|_{L^2} \leq \|u_0\|_{L^2} and ∥∇ku(t)∥L2≤Ckt−k/2∥u0∥L2\|\nabla^ku(t)\|_{L^2} \leq C_kt^{-k/2}\|u_0\|_{L^2}: the solution smooths instantly, as for the heat equation.
  2. If σ(ξ0)\sigma(\xi_0) has a zero eigenvalue with eigenvector η\eta for some ξ0≠0\xi_0 \neq 0, then u(x,t)=η ϕ(ξ0⋅x)u(x, t) = \eta\,\phi(\xi_0\cdot x) is a stationary solution for every ϕ\phi, however rough: no smoothing.
  3. If σ(ξ0)\sigma(\xi_0) has an eigenvalue μ<0\mu < 0, then u=η e−μk2tsin⁡(kξ0⋅x)u = \eta\,e^{-\mu k^2t}\sin(k\xi_0\cdot x) solves the system, and the problem is ill-posed: data of size 11 produce, at time tt, solutions of size e∣μ∣k2te^{|\mu|k^2t}, unbounded as k→∞k \to \infty.

Proof. (1) ddt∣u^∣2=−2⟨σ(ξ)u^,u^⟩≤−2λ∣ξ∣2∣u^∣2\frac{d}{dt}|\hat u|^2 = -2\langle\sigma(\xi)\hat u, \hat u\rangle \leq -2\lambda|\xi|^2|\hat u|^2 (for complex u^=η1+iη2\hat u = \eta_1 + i\eta_2, apply the condition to the real and imaginary parts, as σ\sigma is real). Integrate, and use Plancherel. For derivatives, ∣ξ∣2ke−2λ∣ξ∣2t≤(k2eλt)k|\xi|^{2k}e^{-2\lambda|\xi|^2t} \leq \big(\frac{k}{2e\lambda t}\big)^k, the maximum of ske−2λsts^ke^{-2\lambda st} over s=∣ξ∣2>0s = |\xi|^2 > 0, attained at s=k2λts = \frac{k}{2\lambda t}. (2) ∂tu=0\partial_t u = 0 and aij∂iju=ϕ′′(ξ0⋅x) σ(ξ0)η=0a^{ij}\partial_{ij}u = \phi''(\xi_0\cdot x)\,\sigma(\xi_0)\eta = 0. (3) aij∂ij(ηsin⁡(kξ0⋅x))=−k2sin⁡(kξ0⋅x) σ(ξ0)η=−k2μ ηsin⁡(kξ0⋅x)a^{ij}\partial_{ij}\big(\eta\sin(k\xi_0\cdot x)\big) = -k^2\sin(k\xi_0\cdot x)\,\sigma(\xi_0)\eta = -k^2\mu\,\eta\sin(k\xi_0\cdot x), matching ∂t\partial_t of ηe−μk2t\eta e^{-\mu k^2t}.

Part 2 is exactly the situation of the Ricci flow: it has stationary-looking directions in which no smoothing occurs, the directions of infinitesimal diffeomorphisms. A rough diffeomorphism applied to a smooth metric stays rough, and no amount of Ricci flow can smooth it, because the flow is diffeomorphism invariant.

Linear theory (statement)

We use parabolic Hölder spaces on a closed manifold MM (or a torus) and a time interval [0,T][0, T], T≤1T \leq 1, as in 6A.7 Parabolic Regularity: Cα,α/2C^{\alpha,\alpha/2}, C2+α,1+α/2C^{2+\alpha,1+\alpha/2}, and the intermediate space C1+α,(1+α)/2C^{1+\alpha,(1+\alpha)/2} of functions uu such that uu and ∇u\nabla u are continuous, ∇u∈Cα,α/2\nabla u \in C^{\alpha,\alpha/2}, and uu is 1+α2\frac{1+\alpha}{2}-Hölder in tt. Write ∥⋅∥k+α\|\cdot\|_{k+\alpha} for the norms. For vector-valued functions these are taken componentwise.

Theorem 12.3 Schauder theory for linear parabolic systems (statement)

Let AabijA^{ij}_{ab}, BabiB^i_{ab}, CabC_{ab} be in Cα,α/2(M×[0,T])C^{\alpha,\alpha/2}(M\times[0, T]) with norms at most KK, and let the system ∂tu=Aij∂iju+Bi∂iu+Cu+f\partial_tu = A^{ij}\partial_{ij}u + B^i\partial_iu + Cu + f be strongly parabolic with constant λ\lambda. For u0∈C2,α(M)u_0 \in C^{2,\alpha}(M) and f∈Cα,α/2f \in C^{\alpha,\alpha/2}, there is a unique solution u∈C2+α,1+α/2(M×[0,T])u \in C^{2+\alpha,1+\alpha/2}(M\times[0, T]) with u(0)=u0u(0) = u_0, and

∥u∥2+α≤C(∥u0∥C2,α+∥f∥α),\|u\|_{2+\alpha} \leq C\big(\|u_0\|_{C^{2,\alpha}} + \|f\|_{\alpha}\big),

with CC depending on nn, NN, α\alpha, λ\lambda, KK and MM (but not on T≤1T \leq 1).

For scalar equations this is 6A.7 Parabolic Regularity together with the existence theory of 6B.11 Linear Parabolic Equations in Full; for systems it is due to Vsevolod Solonnikov (1965), and the proof is the same in outline: freeze coefficients, solve the constant-coefficient problem by an explicit kernel (here e−tσ(ξ)e^{-t\sigma(\xi)} in Fourier variables), prove Hölder estimates for it, and patch by the continuity method (6B.7 Schauder Theory and the Continuity Method). The maximum principle is never used, which is why the theory extends from equations to systems.

Short-time existence

The key observation is elementary: a function that vanishes at t=0t = 0 and has a bound in a strong norm is small in a weaker norm for a short time.

Lemma 12.4 Gain from a short time interval

There are θ=θ(α)>0\theta = \theta(\alpha) > 0 and CC such that for 0<T≤10 < T \leq 1 and every w∈C2+α,1+α/2(M×[0,T])w \in C^{2+\alpha,1+\alpha/2}(M\times[0, T]) with w(⋅,0)=0w(\cdot, 0) = 0,

∥w∥1+α≤CTθ∥w∥2+α.\|w\|_{1+\alpha} \leq CT^\theta\|w\|_{2+\alpha}.

Proof. Write K=∥w∥2+αK = \|w\|_{2+\alpha}. A standard interpolation fact about parabolic Hölder spaces (Ladyzhenskaya–Solonnikov–Ural'tseva, chapter II, §3) is that ∇w\nabla w is 1+α2\frac{1+\alpha}{2}-Hölder in tt with constant CKCK. Since w(⋅,0)=0w(\cdot, 0) = 0 and ∇w(⋅,0)=0\nabla w(\cdot, 0) = 0:

  • ∣w(x,t)∣≤tsup⁡∣wt∣≤KT|w(x, t)| \leq t\sup|w_t| \leq KT, and ∣∇w(x,t)∣=∣∇w(x,t)−∇w(x,0)∣≤CKT(1+α)/2|\nabla w(x, t)| = |\nabla w(x, t) - \nabla w(x, 0)| \leq CKT^{(1+\alpha)/2};
  • in space, ∣∇w(x,t)−∇w(y,t)∣≤min⁡(2sup⁡∣∇w∣,∣x−y∣sup⁡∣∇2w∣)≤(2sup⁡∣∇w∣)1−α(∣x−y∣sup⁡∣∇2w∣)α|\nabla w(x, t) - \nabla w(y, t)| \leq \min\big(2\sup|\nabla w|, |x - y|\sup|\nabla^2w|\big) \leq \big(2\sup|\nabla w|\big)^{1-\alpha}\big(|x - y|\sup|\nabla^2w|\big)^\alpha, so the spatial α\alpha-seminorm of ∇w\nabla w is at most CKT(1+α)(1−α)/2CKT^{(1+\alpha)(1-\alpha)/2};
  • in time, ∣∇w(x,t)−∇w(x,s)∣≤CK∣t−s∣(1+α)/2≤CKT1/2∣t−s∣α/2|\nabla w(x, t) - \nabla w(x, s)| \leq CK|t - s|^{(1+\alpha)/2} \leq CKT^{1/2}|t - s|^{\alpha/2}, and similarly ∣w(x,t)−w(x,s)∣≤K∣t−s∣≤KT(1−α)/2∣t−s∣(1+α)/2|w(x, t) - w(x, s)| \leq K|t - s| \leq KT^{(1-\alpha)/2}|t - s|^{(1+\alpha)/2}. The exponents of TT that appear are 11, 1+α2\frac{1+\alpha}{2}, (1+α)(1−α)2\frac{(1+\alpha)(1-\alpha)}{2}, 12\frac12 and 1−α2\frac{1-\alpha}{2}, the smallest being 1−α2\frac{1-\alpha}{2}. So for T≤1T \leq 1 every term is at most CKTθCKT^\theta with θ=1−α2\theta = \frac{1-\alpha}{2}.

We now prove existence for quasilinear systems whose leading coefficients depend on uu but not on ∇u\nabla u:

∂tua=aabij(x,u) ∂ijub+ba(x,u,∇u),u(0)=u0.(Q0)\partial_tu^a = a^{ij}_{ab}(x, u)\,\partial_{ij}u^b + b^a(x, u, \nabla u), \qquad u(0) = u_0. \tag{$\mathrm{Q}_0$}

This class contains the harmonic map heat flow and the Ricci–DeTurck flow, the two systems needed for Ricci flow. (When aija^{ij} depends on ∇u\nabla u too, the same strategy works with the contraction carried out in C2+αC^{2+\alpha}-type spaces, or with the inverse function theorem in Banach spaces as Hamilton did; Taylor III, §15.7.)

Theorem 12.5 Short-time existence and uniqueness

Let MM be closed, aabija^{ij}_{ab} and bab^a smooth, and u0∈C2,α(M)u_0 \in C^{2,\alpha}(M) such that (Q0)(\mathrm{Q}_0) is strongly parabolic at u0u_0: aabij(x,u0(x))ξiξjηaηb≥2λ∣ξ∣2∣η∣2a^{ij}_{ab}(x, u_0(x))\xi_i\xi_j\eta^a\eta^b \geq 2\lambda|\xi|^2|\eta|^2. Then there is T>0T > 0 and a solution u∈C2+α,1+α/2(M×[0,T])u \in C^{2+\alpha,1+\alpha/2}(M\times[0, T]) of (Q0)(\mathrm{Q}_0), and it is the only solution in this space.

Proof. The set. Let uˉ∈C2+α,1+α/2(M×[0,1])\bar u \in C^{2+\alpha,1+\alpha/2}(M\times[0, 1]) be the solution of the linear system with frozen coefficients ∂tuˉ=aij(x,u0)∂ijuˉ\partial_t\bar u = a^{ij}(x, u_0)\partial_{ij}\bar u, uˉ(0)=u0\bar u(0) = u_0 (Theorem 12.3). For T≤1T \leq 1 let

XT={v∈C1+α,(1+α)/2(M×[0,T]):v(0)=u0, ∥v−uˉ∥1+α≤1},X_T = \big\{v \in C^{1+\alpha,(1+\alpha)/2}(M\times[0, T]) : v(0) = u_0,\ \|v - \bar u\|_{1+\alpha} \leq 1\big\},

a closed subset of a Banach space. For v∈XTv \in X_T, ∥v∥1+α≤∥uˉ∥1+α+1=:R\|v\|_{1+\alpha} \leq \|\bar u\|_{1+\alpha} + 1 =: R, so aij(x,v)a^{ij}(x, v) and b(x,v,∇v)b(x, v, \nabla v) are in Cα,α/2C^{\alpha,\alpha/2} with norms bounded by a constant K(R)K(R). Also ∣v(x,t)−u0(x)∣≤∣v(x,t)−uˉ(x,t)∣+∣uˉ(x,t)−u0(x)∣|v(x, t) - u_0(x)| \leq |v(x, t) - \bar u(x, t)| + |\bar u(x, t) - u_0(x)|, and both terms are at most CT(1+α)/2CT^{(1+\alpha)/2} (the first because v−uˉv - \bar u vanishes at t=0t = 0 and is 1+α2\frac{1+\alpha}{2}-Hölder in tt with constant ≤1\leq 1). So for TT small, aij(x,v)a^{ij}(x, v) is uniformly close to aij(x,u0)a^{ij}(x, u_0), and the linear system with coefficients aij(x,v)a^{ij}(x, v) is strongly parabolic with constant λ\lambda.

The map. For v∈XTv \in X_T let S(v)=uS(v) = u solve the linear system

∂tu=aij(x,v) ∂iju+b(x,v,∇v),u(0)=u0.\partial_tu = a^{ij}(x, v)\,\partial_{ij}u + b(x, v, \nabla v), \qquad u(0) = u_0.

By Theorem 12.3, u∈C2+α,1+α/2u \in C^{2+\alpha,1+\alpha/2} with ∥u∥2+α≤C1\|u\|_{2+\alpha} \leq C_1, where C1C_1 depends on RR, λ\lambda, ∥u0∥C2,α\|u_0\|_{C^{2,\alpha}} but not on TT or on vv. The difference u−uˉu - \bar u vanishes at t=0t = 0, so by Lemma 12.4

∥S(v)−uˉ∥1+α≤CTθ(C1+∥uˉ∥2+α)≤1\|S(v) - \bar u\|_{1+\alpha} \leq CT^\theta\big(C_1 + \|\bar u\|_{2+\alpha}\big) \leq 1

for TT small: SS maps XTX_T into itself.

Contraction. For v1,v2∈XTv_1, v_2 \in X_T with uk=S(vk)u_k = S(v_k), the difference w=u1−u2w = u_1 - u_2 satisfies w(0)=0w(0) = 0 and

∂tw=aij(x,v1)∂ijw+(aij(x,v1)−aij(x,v2))∂iju2+b(x,v1,∇v1)−b(x,v2,∇v2).\partial_tw = a^{ij}(x, v_1)\partial_{ij}w + \big(a^{ij}(x, v_1) - a^{ij}(x, v_2)\big)\partial_{ij}u_2 + b(x, v_1, \nabla v_1) - b(x, v_2, \nabla v_2).

Since aa and bb are smooth, the last two terms have Cα,α/2C^{\alpha,\alpha/2} norm at most C2∥v1−v2∥1+αC_2\|v_1 - v_2\|_{1+\alpha} (using ∥∂iju2∥α≤C1\|\partial_{ij}u_2\|_\alpha \leq C_1 and the fact that composing with a smooth function is Lipschitz on bounded sets of Cα,α/2C^{\alpha,\alpha/2}). By the linear estimate and the lemma,

∥w∥1+α≤CTθ∥w∥2+α≤CTθC2∥v1−v2∥1+α≤12∥v1−v2∥1+α\|w\|_{1+\alpha} \leq CT^\theta\|w\|_{2+\alpha} \leq CT^\theta C_2\|v_1 - v_2\|_{1+\alpha} \leq \frac12\|v_1 - v_2\|_{1+\alpha}

for TT small. By the contraction mapping principle (2B.9 The Inverse and Implicit Function Theorems), SS has a unique fixed point u∈XTu \in X_T, which lies in C2+α,1+α/2C^{2+\alpha,1+\alpha/2} (it is in the image of SS) and solves (Q0)(\mathrm{Q}_0).

Uniqueness. If u~∈C2+α,1+α/2(M×[0,T~])\tilde u \in C^{2+\alpha,1+\alpha/2}(M\times[0, \tilde T]) is another solution, then on [0,T′][0, T'] for T′≤min⁡(T,T~)T' \leq \min(T, \tilde T) small enough, u~∈XT′\tilde u \in X_{T'} (by the same estimates as for S(v)S(v)), and it is a fixed point of SS; by uniqueness of the fixed point, u~=u\tilde u = u on [0,T′][0, T']. Repeating from time T′T' (the solutions now agree there and are C2,αC^{2,\alpha} in space) shows they agree on their common interval.

Regularity and continuation. If the data are smooth, so is the solution for t>0t > 0 and up to t=0t = 0 if u0u_0 is smooth: differentiate the equation in xx, and apply Theorem 12.3 to the derivatives, which satisfy linear systems of the same type. And the solution continues as long as its C1+αC^{1+\alpha} norm stays bounded and the system stays parabolic along it, because the existence time in the proof depends only on such bounds. For the Ricci flow, Shi's estimates turn a bound on curvature into bounds on all derivatives, so the flow continues as long as the curvature is bounded (11A.4 Short-Time Existence and Uniqueness).

The symbol of the Ricci flow

To apply this theorem to ∂tg=−2Ric⁡(g)\partial_tg = -2\operatorname{Ric}(g), we need the symbol of the linearisation. Since only top-order terms matter, compute at a point in coordinates where gij=δijg_{ij} = \delta_{ij}, and keep only the second derivatives of the variation h=δgh = \delta g. From Γijk=12gkl(∂igjl+∂jgil−∂lgij)\Gamma^k_{ij} = \frac12g^{kl}(\partial_ig_{jl} + \partial_jg_{il} - \partial_lg_{ij}) and Rij=∂kΓijk−∂jΓikk+(ΓΓ terms)R_{ij} = \partial_k\Gamma^k_{ij} - \partial_j\Gamma^k_{ik} + (\Gamma\Gamma\text{ terms}),

δRij=12(∂k∂ihjk+∂k∂jhik−∂k∂khij−∂i∂jH)+lower order,H=hkk\delta R_{ij} = \frac12\big(\partial_k\partial_ih_{jk} + \partial_k\partial_jh_{ik} - \partial_k\partial_kh_{ij} - \partial_i\partial_jH\big) + \text{lower order}, \qquad H = h_{kk}

(11A.2 How Curvature Evolves, Exercise 12.10). Replacing ∂k\partial_k by ξk\xi_k, the symbol of −2δRic⁡-2\delta\operatorname{Ric} is

σ(ξ)h=∣ξ∣2h+H ξ⊗ξ−ξ⊗(ξ⌟h)−(ξ⌟h)⊗ξ,(ξ⌟h)j=ξkhkj.\sigma(\xi)h = |\xi|^2h + H\,\xi\otimes\xi - \xi\otimes(\xi\lrcorner h) - (\xi\lrcorner h)\otimes\xi, \qquad (\xi\lrcorner h)_j = \xi_kh_{kj}.
Proposition 12.6 The Ricci flow is only weakly parabolic

For ξ≠0\xi \neq 0, the symbol σ(ξ)\sigma(\xi) of −2Ric⁡-2\operatorname{Ric} annihilates every h=ξ⊗w+w⊗ξh = \xi\otimes w + w\otimes\xi, w∈Rnw \in \mathbb{R}^n: an nn-dimensional kernel. Its other eigenvalue is ∣ξ∣2|\xi|^2, with multiplicity n(n−1)2\frac{n(n-1)}{2}.

Proof. Normalise ∣ξ∣=1|\xi| = 1. For h=ξ⊗w+w⊗ξh = \xi\otimes w + w\otimes\xi: H=2ξ⋅wH = 2\xi\cdot w and ξ⌟h=(ξ⋅w)ξ+w\xi\lrcorner h = (\xi\cdot w)\xi + w. So

σ(ξ)h=ξ⊗w+w⊗ξ+2(ξ⋅w)ξ⊗ξ−ξ⊗((ξ⋅w)ξ+w)−((ξ⋅w)ξ+w)⊗ξ=0.\sigma(\xi)h = \xi\otimes w + w\otimes\xi + 2(\xi\cdot w)\xi\otimes\xi - \xi\otimes\big((\xi\cdot w)\xi + w\big) - \big((\xi\cdot w)\xi + w\big)\otimes\xi = 0.

For the eigenvalues, take coordinates with ξ=e1\xi = e_1 and split hh into h11h_{11}, h1αh_{1\alpha} and hαβh_{\alpha\beta} (α,β≥2\alpha, \beta \geq 2). Computing componentwise (Exercise 12.11): (σh)11=∑αhαα(\sigma h)_{11} = \sum_\alpha h_{\alpha\alpha}, (σh)1α=0(\sigma h)_{1\alpha} = 0, (σh)αβ=hαβ(\sigma h)_{\alpha\beta} = h_{\alpha\beta}. So σ\sigma is zero on the nn components h11,h1αh_{11}, h_{1\alpha} (once hαβ=0h_{\alpha\beta} = 0), and the identity on the n(n−1)2\frac{n(n-1)}{2} components hαβh_{\alpha\beta}, modulo the triangular coupling to h11h_{11}: the eigenvalues are 00 (multiplicity nn) and 11.

The kernel consists of the symbols of Lie derivatives: LXg\mathcal L_Xg has components ∇iXj+∇jXi\nabla_iX_j + \nabla_jX_i, whose symbol is ξ⊗X+X⊗ξ\xi\otimes X + X\otimes\xi. This is no accident. Since Ric⁡(ϕ∗g)=ϕ∗Ric⁡(g)\operatorname{Ric}(\phi^*g) = \phi^*\operatorname{Ric}(g) for every diffeomorphism ϕ\phi, differentiating along the flow ϕs\phi_s of a vector field XX gives δRic⁡(LXg)=LXRic⁡(g)\delta\operatorname{Ric}(\mathcal L_Xg) = \mathcal L_X\operatorname{Ric}(g), which involves only first derivatives of XX. A second-order operator with non-degenerate symbol, applied to LXg\mathcal L_Xg (which is first order in XX), would produce third derivatives of XX; so the symbol must vanish on ξ⊗X+X⊗ξ\xi\otimes X + X\otimes\xi. Diffeomorphism invariance forces a degenerate symbol, by Proposition 12.2 part 2 there is no smoothing in those directions, and Theorem 12.5 does not apply.

Hamilton's original proof (1982) handled the degeneracy with the Nash–Moser implicit function theorem, using the fact that the degeneracy is exactly accounted for by the Bianchi identity (6C.3 Symmetry, Noether’s Theorem and Moving Planes, Exercise 12.13). DeTurck found a much simpler way a year later.

DeTurck's trick

Fix a background metric g~\tilde g with Christoffel symbols Γ~\tilde\Gamma, and let

Wk=gij(Γijk−Γ~ijk),W^k = g^{ij}\big(\Gamma^k_{ij} - \tilde\Gamma^k_{ij}\big),

a vector field (a difference of connections is a tensor), equal to minus the tension field of the identity map (M,g)→(M,g~)(M, g) \to (M, \tilde g) (6C.7 Harmonic Maps and Their Heat Flow). The Ricci–DeTurck flow is

∂tg=−2Ric⁡(g)+LWg.(RD)\partial_tg = -2\operatorname{Ric}(g) + \mathcal L_Wg. \tag{RD}
Proposition 12.7 The Ricci–DeTurck flow is strongly parabolic

The symbol of the linearisation of −2Ric⁡(g)+LWg-2\operatorname{Ric}(g) + \mathcal L_Wg is σ(ξ)h=∣ξ∣2h\sigma(\xi)h = |\xi|^2h. In coordinates, (RD) has the form

∂tgij=gkl∂k∂lgij+Qij(g,g~,∂g,∇~),\partial_tg_{ij} = g^{kl}\partial_k\partial_lg_{ij} + Q_{ij}(g, \tilde g, \partial g, \tilde\nabla),

with QQ depending on gg and its first derivatives only: a quasilinear system of the form (Q0)(\mathrm{Q}_0), diagonal in its top order.

Proof. At a point with g=δg = \delta, the top-order part of δW\delta W is δWk=12(∂ihik+∂ihik−∂khii)=(∂⌟h)k−12∂kH\delta W_k = \frac12(\partial_ih_{ik} + \partial_ih_{ik} - \partial_kh_{ii}) = (\partial\lrcorner h)_k - \frac12\partial_kH (the Γ~\tilde\Gamma term involves no derivatives of hh). The top-order part of LδWg\mathcal L_{\delta W}g is ∂iδWj+∂jδWi\partial_i\delta W_j + \partial_j\delta W_i, with symbol

ξ⊗(ξ⌟h−12Hξ)+(ξ⌟h−12Hξ)⊗ξ=ξ⊗(ξ⌟h)+(ξ⌟h)⊗ξ−H ξ⊗ξ.\xi\otimes\big(\xi\lrcorner h - \tfrac12H\xi\big) + \big(\xi\lrcorner h - \tfrac12H\xi\big)\otimes\xi = \xi\otimes(\xi\lrcorner h) + (\xi\lrcorner h)\otimes\xi - H\,\xi\otimes\xi.

(The term LWg\mathcal L_Wg also contains WW undifferentiated times first derivatives of gg, which is lower order.) Adding the symbol of −2δRic⁡-2\delta\operatorname{Ric}, every term except ∣ξ∣2h|\xi|^2h cancels. The coordinate form follows because the only second derivatives of gg that survive are those in gkl∂k∂lgijg^{kl}\partial_k\partial_lg_{ij}, with coefficients depending on gg alone.

So Theorem 12.5 applies to (RD): on a closed manifold, for any smooth initial metric there is a unique smooth solution of the Ricci–DeTurck flow for a short time. To return to the Ricci flow, solve the ODE ∂tϕt=−W(ϕt,t)\partial_t\phi_t = -W(\phi_t, t), ϕ0=id\phi_0 = \mathrm{id}, for a family of diffeomorphisms; then ϕt∗\phi_t^* of the Ricci–DeTurck solution solves the Ricci flow with the same initial metric (the Lie derivative term is exactly undone by pulling back along the flow of WW). This proves short-time existence. For uniqueness, Hamilton observed (1995) that, conversely, given a Ricci flow, the diffeomorphisms that convert it into a Ricci–DeTurck flow solve the harmonic map heat flow from (M,g(t))(M, g(t)) to (M,g~)(M, \tilde g), a strongly parabolic system to which the same theorem applies; uniqueness of both systems then gives uniqueness of the Ricci flow. The details are in 11A.4 Short-Time Existence and Uniqueness.

Where this goes From Course 6 to the Ricci flow

Every analytic tool of the Ricci flow chapters has now been prepared. Short-time existence is this chapter plus DeTurck. The maximum principles for scalars and tensors (11A.7 Maximum Principles under Ricci Flow) generalise 6A.5 Maximum Principles. Shi's derivative estimates are Bernstein's method (6A.7 Parabolic Regularity) applied to curvature. Compactness of flows uses Arzelà–Ascoli and the parabolic Schauder estimates. Hamilton's Harnack inequality is a matrix version of Li–Yau (6A.12 Entropy, Information and Diffusion). Perelman's F\mathcal F- and W\mathcal W-functionals are variational problems (6A.11 Calculus of Variations and Gradient Flows, 6C.1 Regularity of Minimisers and Constraints) whose gradient flow is the Ricci flow modulo diffeomorphisms (6C.3 Symmetry, Noether’s Theorem and Moving Planes), his reduced distance is a Hamilton–Jacobi value function (6C.9 Hamilton–Jacobi Equations and Viscosity Solutions), and the conjugate heat equation and its kernel are the subject of 9B.7 The Heat Equation on a Manifold. The existence of minimisers for Perelman's μ\mu is the subcritical half of 6C.4 The Yamabe Problem and Critical Exponents, pseudolocality is the Ricci flow's ε\varepsilon-regularity theorem (6C.8 Monotonicity, ε-Regularity and Tangent Cones), and the Bakry–Émery tensor Ric⁡+∇2f\operatorname{Ric} + \nabla^2f that his functionals produce is the curvature of optimal transport (6C.11 Optimal Transport and Ricci Curvature). Book 6D turns from geometry to probability, finance and computation.

History

Ivan Petrovskii defined parabolic systems in 1938, and Samuil Eidelman's book on parabolic systems appeared in 1964. Vsevolod Solonnikov proved the Schauder estimates for general parabolic systems in 1965, and Ladyzhenskaya, Solonnikov and Ural'tseva's book (1967 in Russian, 1968 in English) became the standard reference for quasilinear parabolic theory. Herbert Amann developed a general theory of quasilinear parabolic systems in the 1980s. Alan Turing's reaction–diffusion paper appeared in 1952. Hamilton proved short-time existence for the Ricci flow in 1982 with the Nash–Moser theorem; Dennis DeTurck's simplification appeared in 1983, and Hamilton's harmonic-map approach to uniqueness in 1995.

Recall Where we stand

A second-order system is strongly parabolic when its principal symbol satisfies ⟨σ(ξ)η,η⟩≥λ∣ξ∣2∣η∣2\langle\sigma(\xi)\eta, \eta\rangle \geq \lambda|\xi|^2|\eta|^2; then constant-coefficient problems smooth like the heat equation, while a zero eigenvalue means no smoothing and a negative one means ill-posedness. The linear Schauder theory for systems needs no maximum principle (Solonnikov). A function vanishing at t=0t = 0 is O(Tθ)O(T^\theta) in C1+αC^{1+\alpha} relative to its C2+αC^{2+\alpha} norm, which makes the linearise-and-solve map a contraction for short times: quasilinear systems with leading coefficients depending on uu have unique short-time solutions. The symbol of −2Ric⁡-2\operatorname{Ric} vanishes on ξ⊗w+w⊗ξ\xi\otimes w + w\otimes\xi, the symbols of Lie derivatives, because the Ricci tensor is diffeomorphism invariant; adding LWg\mathcal L_Wg with W=gij(Γ−Γ~)ijkW = g^{ij}(\Gamma - \tilde\Gamma)^k_{ij} makes the symbol ∣ξ∣2|\xi|^2, and the Ricci–DeTurck flow exists by the theorem of this chapter. Book 6D begins with Brownian motion (6D.1 Brownian Motion), the probabilistic face of the heat equation.

Exercises

Exercise 12.8 Diffusion-driven instability

Let A=(1−12−32)A = \begin{pmatrix}1 & -1\\ 2 & -\frac32\end{pmatrix} and D=diag⁡(1,d)D = \operatorname{diag}(1, d) with d>0d > 0. (a) Show that u′=Auu' = Au is stable (both eigenvalues have negative real part). (b) For the system ut=Duxx+Auu_t = Du_{xx} + Au on R\mathbb{R}, show that the mode eikxηe^{ikx}\eta grows exponentially for some kk if and only if det⁡(A−k2D)<0\det(A - k^2D) < 0 for some kk. (c) Show that this happens if and only if d>92d > \frac92, and find the most unstable wave number at d=8d = 8.

Solution

(a) tr⁡A=−12<0\operatorname{tr}A = -\frac12 < 0, det⁡A=−32+2=12>0\det A = -\frac32 + 2 = \frac12 > 0, so both eigenvalues have negative real part. (b) The mode solves η′=(A−k2D)η\eta' = (A - k^2D)\eta. The trace −12−k2(1+d)-\frac12 - k^2(1 + d) is always negative, so an eigenvalue with positive real part exists iff the determinant is negative (a real 2×22\times2 matrix with negative trace has an eigenvalue with positive real part iff its determinant is negative). (c) With s=k2s = k^2: det⁡(A−sD)=(1−s)(−32−ds)+2=ds2+(32−d)s+12\det(A - sD) = (1 - s)(-\frac32 - ds) + 2 = ds^2 + (\frac32 - d)s + \frac12. Its minimum over s>0s > 0 (for d>32d > \frac32) is at s=d−3/22ds = \frac{d - 3/2}{2d}, with value 12−(d−3/2)24d\frac12 - \frac{(d - 3/2)^2}{4d}, negative iff (d−32)2>2d(d - \frac32)^2 > 2d, i.e. d2−5d+94>0d^2 - 5d + \frac94 > 0, i.e. d>92d > \frac92 (the other root 12\frac12 is below 32\frac32). At d=8d = 8: s=6.516=0.40625s = \frac{6.5}{16} = 0.40625, k≈0.637k \approx 0.637, wavelength 2π/k≈9.92\pi/k \approx 9.9. Diffusion alone, applied to a stable system, created instability at a preferred wavelength.

Exercise 12.9 Rank-one positivity

For n=N=2n = N = 2, consider the system whose coefficients are given by the quadratic form aabijPiaPjb=Q(P)=∣P∣2+κ(P11P22−P12P21)a^{ij}_{ab}P_{ia}P_{jb} = Q(P) = |P|^2 + \kappa(P_{11}P_{22} - P_{12}P_{21}) on 2×22\times2 matrices PP. Show that QQ satisfies Q(ξ⊗η)=∣ξ∣2∣η∣2Q(\xi\otimes\eta) = |\xi|^2|\eta|^2 for every rank-one P=ξ⊗ηP = \xi\otimes\eta, for every κ\kappa, but is not positive definite when ∣κ∣>2|\kappa| > 2. So strong parabolicity (rank-one positivity) is strictly weaker than the Legendre condition.

Solution

For P=ξ⊗ηP = \xi\otimes\eta, Pij=ξiηjP_{ij} = \xi_i\eta_j and det⁡P=ξ1η1ξ2η2−ξ1η2ξ2η1=0\det P = \xi_1\eta_1\xi_2\eta_2 - \xi_1\eta_2\xi_2\eta_1 = 0, and ∣P∣2=∣ξ∣2∣η∣2|P|^2 = |\xi|^2|\eta|^2. For P=IP = I: Q=2+κQ = 2 + \kappa, negative if κ<−2\kappa < -2; for P=diag⁡(1,−1)P = \operatorname{diag}(1, -1): Q=2−κQ = 2 - \kappa, negative if κ>2\kappa > 2. (The determinant is a null Lagrangian, 6C.5 Fixed Points, Monotonicity and Sub- and Supersolutions: adding it changes the energy form but not the Euler–Lagrange equations, so it cannot affect parabolicity, which depends only on the equation.)

Exercise 12.10 The linearised Ricci tensor

At a point where gij=δijg_{ij} = \delta_{ij} and ∂g=0\partial g = 0, show that the second-derivative part of δΓijk\delta\Gamma^k_{ij} is 12(∂ihjk+∂jhik−∂khij)\frac12(\partial_ih_{jk} + \partial_jh_{ik} - \partial_kh_{ij}), and deduce the formula for the top-order part of δRij\delta R_{ij} from Rij=∂kΓijk−∂jΓikk+ΓΓR_{ij} = \partial_k\Gamma^k_{ij} - \partial_j\Gamma^k_{ik} + \Gamma\Gamma.

Solution

δΓijk=12gkl(∂ihjl+∂jhil−∂lhij)+(δgkl)(…)\delta\Gamma^k_{ij} = \frac12g^{kl}(\partial_ih_{jl} + \partial_jh_{il} - \partial_lh_{ij}) + (\delta g^{kl})(\ldots), and the second term involves ∂g=0\partial g = 0. Then ∂kδΓijk=12(∂k∂ihjk+∂k∂jhik−∂k∂khij)\partial_k\delta\Gamma^k_{ij} = \frac12(\partial_k\partial_ih_{jk} + \partial_k\partial_jh_{ik} - \partial_k\partial_kh_{ij}) and ∂jδΓikk=12(∂j∂ihkk+∂j∂khik−∂j∂khik)=12∂i∂jH\partial_j\delta\Gamma^k_{ik} = \frac12(\partial_j\partial_ih_{kk} + \partial_j\partial_kh_{ik} - \partial_j\partial_kh_{ik}) = \frac12\partial_i\partial_jH. The difference is the stated formula; the ΓΓ\Gamma\Gamma terms contribute only first derivatives of hh.

Exercise 12.11 The block structure of the Ricci symbol

With ξ=e1\xi = e_1, compute (σh)11(\sigma h)_{11}, (σh)1α(\sigma h)_{1\alpha} and (σh)αβ(\sigma h)_{\alpha\beta} for α,β≥2\alpha, \beta \geq 2 from σ(ξ)h=h+Hξ⊗ξ−ξ⊗(ξ⌟h)−(ξ⌟h)⊗ξ\sigma(\xi)h = h + H\xi\otimes\xi - \xi\otimes(\xi\lrcorner h) - (\xi\lrcorner h)\otimes\xi, and confirm the eigenvalues claimed in Proposition 12.6.

Solution

ξ⌟h=(h11,h12,…,h1n)\xi\lrcorner h = (h_{11}, h_{12}, \ldots, h_{1n}). (σh)11=h11+H−2h11=H−h11=∑α≥2hαα(\sigma h)_{11} = h_{11} + H - 2h_{11} = H - h_{11} = \sum_{\alpha\geq2}h_{\alpha\alpha}. (σh)1α=h1α+0−h1α−0=0(\sigma h)_{1\alpha} = h_{1\alpha} + 0 - h_{1\alpha} - 0 = 0. (σh)αβ=hαβ(\sigma h)_{\alpha\beta} = h_{\alpha\beta}. In the ordered basis (hαβh_{\alpha\beta} block, then h11,h1αh_{11}, h_{1\alpha}), σ\sigma is block triangular with the identity on the first block and zero on the second, so its eigenvalues are 11 (multiplicity n(n−1)2\frac{n(n-1)}{2}) and 00 (multiplicity nn). It is not diagonalisable: h=e2⊗e2h = e_2\otimes e_2 maps to itself plus e1⊗e1e_1\otimes e_1.

Exercise 12.12 Conformal directions are parabolic

Show that for h=f gh = f\,g (a conformal variation, with g=δg = \delta at the point), σ(ξ)h=f(∣ξ∣2g+(n−2)ξ⊗ξ)\sigma(\xi)h = f\big(|\xi|^2g + (n - 2)\xi\otimes\xi\big). In dimension two this is f∣ξ∣2gf|\xi|^2g: restricted to conformal variations, the symbol is positive. Explain why this is consistent with the scalar equation ∂tw=e−2wΔw\partial_tw = e^{-2w}\Delta w for the Ricci flow of g=e2wgflatg = e^{2w}g_{\text{flat}} on a surface (5A.5 Uniformization and the Two-Dimensional Ricci Flow, 11A.12 Ricci Flow on Surfaces), which is strictly parabolic without any gauge fixing.

Solution

H=nfH = nf and ξ⌟h=fξ\xi\lrcorner h = f\xi, so σh=∣ξ∣2fg+nfξ⊗ξ−2fξ⊗ξ\sigma h = |\xi|^2fg + nf\xi\otimes\xi - 2f\xi\otimes\xi. For n=2n = 2, σh=f∣ξ∣2g\sigma h = f|\xi|^2g. On a surface, writing the metric as e2wgflate^{2w}g_{\text{flat}} in isothermal coordinates already fixes the diffeomorphism freedom (up to conformal maps, which form a finite-dimensional or rigid family on compact surfaces), so the flow of the conformal factor is a scalar strictly parabolic equation. The degenerate directions of the symbol are the Lie derivative directions, which have been removed from the ansatz.

Solution

(a) ∇iRij=12∇jR\nabla^iR_{ij} = \frac12\nabla_jR is div⁡Ric⁡−12∇tr⁡Ric⁡=0\operatorname{div}\operatorname{Ric} - \frac12\nabla\operatorname{tr}\operatorname{Ric} = 0. (b) From the proof, δWk=∂ihik−12∂kH+lower order\delta W_k = \partial_ih_{ik} - \frac12\partial_kH + \text{lower order}, the top-order part of B(h)kB(h)_k. (c) By Noether's second theorem (6C.3 Symmetry, Noether’s Theorem and Moving Planes, Proposition 12.6), invariance of the total scalar curvature under diffeomorphisms gives an identity satisfied by its gradient, BB applied to the Einstein tensor vanishes; the symbol of Ric⁡\operatorname{Ric} in the gauge directions is correspondingly degenerate. DeTurck adds LWg\mathcal L_Wg, where WW is built from BB, so that the gauge directions acquire exactly the missing symbol (ξ⊗(ξ⌟h)+…\xi\otimes(\xi\lrcorner h) + \ldots), making the total symbol ∣ξ∣2|\xi|^2; the cost is a time-dependent diffeomorphism, which is undone afterwards.

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