Book 6B

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Course 6Book 6B: Linear PDE: Characteristics, Waves and RegularityChapter 16

Eigenvalue Problems and Perelman’s λ

Rayleigh quotients and min–max, Faber–Krahn and Cheeger’s inequality, ground states of Schrödinger operators, spectral clustering, and the first eigenvalue of −4Δ + R that begins Perelman’s first preprint.

42 min read · Updated Oct 23, 2026

Read with Evans, Partial Differential Equations, section 6.5 (the principal eigenvalue: variational characterisation, positivity and simplicity); Courant and Hilbert, Methods of Mathematical Physics, volume I, chapter VI (the variational properties of eigenvalues, min–max and domain monotonicity); Henrot, Extremum Problems for Eigenvalues of Elliptic Operators (2006), chapters 1–3, for Faber–Krahn and its relatives; Chung, Spectral Graph Theory (1997), chapter 2, for Cheeger's inequality on graphs. Perelman's first preprint defines F\mathcal F in §1 and λ\lambda in §2.2; Topping, Lectures on the Ricci Flow, §6.6 ("The zeroth eigenvalue of −4Δ+R-4\Delta + R"), proves the ground-state facts used here by exactly the argument of this chapter, and Kleiner and Lott's notes, §7 ("I.2.2. The λ-invariant and its applications"), fill in Perelman's §2. Morgan and Tian prove noncollapsing with the reduced volume instead and do not use λ\lambda. 12A.2 Ricci Flow as a Gradient Flow continues from here.

In this chapter · 7 sections
  1. 16.1Rayleigh quotients and the min–max principle
  2. 16.2The ground state is positive and simple
  3. 16.3The ground-state substitution
  4. 16.4Geometry in the first eigenvalue
  5. 16.5Perelman's λ\lambdaλ
  6. 16.6History
  7. 16.7Exercises
  8. ↗Free resources

6B.15 Spectral Theory and Heat Trace Asymptotics studied the spectrum of the Laplacian as a whole, through the heat trace ∑e−λkt\sum e^{-\lambda_kt}, and found that it knows the volume, the boundary and the total scalar curvature. This chapter studies the eigenvalues one at a time, above all the first, which governs almost everything that happens for long times: the rate at which heat equilibrates on a bounded region (6A.4 Fourier Methods and Scale Space), whether a population survives in a habitat (6A.9 Reaction–Diffusion: Fronts, Patterns and Pinching), the ground state energy of a quantum particle, the lowest note of a drum, the load at which a column buckles. Its eigenfunction, the ground state, has a property no other eigenfunction has: it is positive. And the first eigenvalue is characterised by a minimisation, the Rayleigh quotient, so it can be estimated from above by any test function and from below by inequalities of geometric content.

The chapter ends where Perelman's first preprint begins. Perelman defined

λ(g)=inf⁡{∫(4∣∇w∣2+Rw2) dV:∫w2 dV=1},\lambda(g) = \inf\Big\{\int\big(4|\nabla w|^2 + Rw^2\big)\,dV : \int w^2\,dV = 1\Big\},

the first eigenvalue of the Schrödinger operator −4Δ+R-4\Delta + R, whose potential is the scalar curvature, and proved that it increases along the Ricci flow (12A.2 Ricci Flow as a Gradient Flow). Everything Perelman uses about λ\lambda before that monotonicity, that the infimum is attained, by a unique positive smooth function, that λ\lambda depends smoothly on the metric, that it is bounded between the minimum and the average of the scalar curvature, is the ground-state theory of this chapter, which Perelman states in a line ("Clearly, λ(gij)\lambda(g_{ij}) is just the lowest eigenvalue of the operator −4△+R-4\triangle + R") and Topping and Kleiner–Lott spell out.

Until Book 8A defines manifolds, "closed manifold" can be read as the torus Tn=Rn/Zn\mathbb{T}^n = \mathbb{R}^n/\mathbb{Z}^n with a periodic metric gij(x)g_{ij}(x) (6B.10 Harmonic Coordinates and the Regularity of Metrics): a compact space without boundary, with the Laplace–Beltrami operator Δg\Delta_g and volume dV=∣g∣ dxdV = \sqrt{|g|}\,dx. Every argument below uses only integration by parts, the Rellich compactness theorem and elliptic regularity, all of which hold there.

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

  • characterise eigenvalues by Rayleigh quotients and the min–max principle, and prove domain monotonicity and the Dirichlet–Neumann ordering;
  • prove that the first eigenvalue of a Schrödinger operator −Δg+V-\Delta_g + V on a closed manifold is attained, simple, with a positive smooth eigenfunction, and that every other eigenfunction changes sign;
  • use the ground-state substitution to prove Hardy's inequality with its sharp constant, and compute the hydrogen ground state;
  • state Faber–Krahn and prove Cheeger's inequality λ1≥h2/4\lambda_1 \geq h^2/4;
  • explain spectral clustering, the Fiedler vector and the Perron–Frobenius analogy behind PageRank;
  • define Perelman's λ\lambda, derive its Euler–Lagrange equation in the variables ww and ff, prove min⁡R≤λ≤Rˉ\min R \leq \lambda \leq \bar R and the scaling law, compute it on model spaces, and relate its sign to the Yamabe problem;
  • derive the first variation of a simple eigenvalue (Hellmann–Feynman) and explain why λ\lambda is a smooth function of the metric.

Rayleigh quotients and the min–max principle

Let HH be a self-adjoint operator, bounded below, with compact resolvent, on a Hilbert space: for example −Δ-\Delta with Dirichlet conditions on a bounded domain (6B.15 Spectral Theory and Heat Trace Asymptotics), −Δ-\Delta with Neumann conditions, or −Δg+V-\Delta_g + V on a closed manifold with VV bounded. By the spectral theorem for compact operators (4A.8 Compact Operators and Spectra) its spectrum is a sequence of eigenvalues λ1≤λ2≤⋯→∞\lambda_1 \leq \lambda_2 \leq \cdots \to \infty, repeated with multiplicity, with an orthonormal basis of eigenfunctions ϕk\phi_k. Write Q(u)=⟨Hu,u⟩Q(u) = \langle Hu, u\rangle for the quadratic form, extended to its form domain (for −Δg+V-\Delta_g + V, Q(u)=∫(∣∇u∣2+Vu2) dVQ(u) = \int(|\nabla u|^2 + Vu^2)\,dV on H1H^1).

Theorem 16.1 Rayleigh and min–max
λ1=min⁡u≠0Q(u)∥u∥2,λk=min⁡dim⁡E=k max⁡u∈E∖{0}Q(u)∥u∥2,\lambda_1 = \min_{u \neq 0}\frac{Q(u)}{\|u\|^2}, \qquad \lambda_k = \min_{\dim E = k}\ \max_{u \in E\setminus\{0\}}\frac{Q(u)}{\|u\|^2},

the minimum over kk-dimensional subspaces EE of the form domain. The minima are attained at u=ϕ1u = \phi_1 and at E=span⁡(ϕ1,…,ϕk)E = \operatorname{span}(\phi_1, \dots, \phi_k).

Proof. Expand u=∑cjϕju = \sum c_j\phi_j; then Q(u)=∑λjcj2Q(u) = \sum\lambda_jc_j^2 and ∥u∥2=∑cj2\|u\|^2 = \sum c_j^2, so Q(u)≥λ1∥u∥2Q(u) \geq \lambda_1\|u\|^2, with equality at ϕ1\phi_1. For EE of dimension kk, some nonzero u∈Eu \in E is orthogonal to ϕ1,…,ϕk−1\phi_1, \dots, \phi_{k-1} (by counting dimensions), and for it Q(u)=∑j≥kλjcj2≥λk∥u∥2Q(u) = \sum_{j\geq k}\lambda_jc_j^2 \geq \lambda_k\|u\|^2; so max⁡EQ/∥⋅∥2≥λk\max_EQ/\|\cdot\|^2 \geq \lambda_k. On E=span⁡(ϕ1,…,ϕk)E = \operatorname{span}(\phi_1, \dots, \phi_k), Q(u)=∑j≤kλjcj2≤λk∥u∥2Q(u) = \sum_{j\leq k}\lambda_jc_j^2 \leq \lambda_k\|u\|^2.

Three consequences follow at once, and they are why the variational characterisation is so useful.

  • Upper bounds from test functions. Any trial function uu gives λ1≤Q(u)/∥u∥2\lambda_1 \leq Q(u)/\|u\|^2. This is Rayleigh's principle, which Lord Rayleigh used in The Theory of Sound (1877) to estimate the frequencies of strings, membranes and organ pipes. Walther Ritz (1909) minimised over finite-dimensional families of trial functions, and the Rayleigh–Ritz method is the ancestor of the finite element method (6D.10 Monte Carlo, Fourier and Finite Element Methods): engineers compute the natural frequencies of buildings and bridges by min–max over spaces of piecewise polynomials, and the results are automatically upper bounds.
  • Domain monotonicity. If Ω⊂Ω′\Omega \subset \Omega', every function in H01(Ω)H^1_0(\Omega) extends by zero to one in H01(Ω′)H^1_0(\Omega') with the same Rayleigh quotient, so λkD(Ω′)≤λkD(Ω)\lambda_k^D(\Omega') \leq \lambda_k^D(\Omega): a larger drum sounds lower.
  • Dirichlet above Neumann. H01(Ω)⊂H1(Ω)H^1_0(\Omega) \subset H^1(\Omega), and both problems have the quadratic form ∫∣∇u∣2\int|\nabla u|^2, so λkN(Ω)≤λkD(Ω)\lambda_k^N(\Omega) \leq \lambda_k^D(\Omega): clamping the boundary raises every frequency. (The first Neumann eigenvalue is 00, with constant eigenfunction.)

The ground state is positive and simple

Theorem 16.2 The ground state

Let (M,g)(M, g) be a closed manifold and VV a smooth function, and let λ1\lambda_1 be the first eigenvalue of −Δg+V-\Delta_g + V. Then:

  1. the minimum in the Rayleigh quotient is attained, and every minimiser is a smooth eigenfunction;
  2. there is a minimiser ϕ1>0\phi_1 > 0 everywhere;
  3. λ1\lambda_1 is simple: its eigenspace is spanned by ϕ1\phi_1;
  4. every eigenfunction with eigenvalue other than λ1\lambda_1 changes sign.

Proof. (1) Let uju_j be a minimising sequence with ∥uj∥L2=1\|u_j\|_{L^2} = 1. Then ∫∣∇uj∣2=Q(uj)−∫Vuj2≤Q(uj)+sup⁡∣V∣\int|\nabla u_j|^2 = Q(u_j) - \int Vu_j^2 \leq Q(u_j) + \sup|V| is bounded, so uju_j is bounded in H1H^1. By the Rellich theorem (4A.11 Sobolev Embeddings and Critical Exponents) a subsequence converges strongly in L2L^2 and weakly in H1H^1 to some uu with ∥u∥=1\|u\| = 1, and by weak lower semicontinuity of ∫∣∇u∣2\int|\nabla u|^2 (4A.7 Weak Convergence and the Direct Method) and strong convergence of ∫Vu2\int Vu^2, Q(u)≤lim inf⁡Q(uj)=λ1Q(u) \leq \liminf Q(u_j) = \lambda_1. So uu is a minimiser. For any v∈H1v \in H^1, t↦Q(u+tv)−λ1∥u+tv∥2t \mapsto Q(u + tv) - \lambda_1\|u + tv\|^2 has a minimum at t=0t = 0, and its derivative there is 2(∫∇u⋅∇v+(V−λ1)uv)=02\big(\int\nabla u\cdot\nabla v + (V - \lambda_1)uv\big) = 0: uu is a weak solution of −Δgu+Vu=λ1u-\Delta_gu + Vu = \lambda_1u. Elliptic regularity (6A.6 Weak Solutions and Elliptic Regularity, 6B.7 Schauder Theory and the Continuity Method) makes it smooth.

(2) If uu is a minimiser, so is ∣u∣|u|: ∣u∣∈H1|u| \in H^1 with ∣∇∣u∣∣=∣∇u∣|\nabla|u|| = |\nabla u| almost everywhere, so Q(∣u∣)=Q(u)Q(|u|) = Q(u) and ∥∣u∣∥=∥u∥\||u|\| = \|u\|. By (1), ϕ=∣u∣≥0\phi = |u| \geq 0 is a smooth solution of −Δgϕ+(V−λ1)ϕ=0-\Delta_g\phi + (V - \lambda_1)\phi = 0, not identically zero. The Harnack inequality for nonnegative solutions (6B.9 De Giorgi–Nash–Moser), or the strong maximum principle applied to −ϕ-\phi (6A.5 Maximum Principles), shows that ϕ>0\phi > 0 everywhere: a nonnegative supersolution that vanishes at an interior point vanishes identically on the connected manifold.

(3) Let uu be any real eigenfunction for λ1\lambda_1. Its positive and negative parts u±u^\pm are in H1H^1, with Q(u)=Q(u+)+Q(u−)Q(u) = Q(u^+) + Q(u^-) and ∥u∥2=∥u+∥2+∥u−∥2\|u\|^2 = \|u^+\|^2 + \|u^-\|^2, and each has Rayleigh quotient at least λ1\lambda_1; since the sum has quotient exactly λ1\lambda_1, each nonzero one is a minimiser, hence, by (2) applied to it, positive everywhere. They cannot both be positive everywhere (their supports are disjoint), so one is zero: uu does not change sign. Two eigenfunctions for λ1\lambda_1 that do not change sign cannot be orthogonal, since ∫ϕψ>0\int\phi\psi > 0 for ϕ,ψ>0\phi, \psi > 0; so the eigenspace is one-dimensional.

(4) An eigenfunction ϕk\phi_k for λk≠λ1\lambda_k \neq \lambda_1 is orthogonal to ϕ1>0\phi_1 > 0, so ∫ϕkϕ1=0\int\phi_k\phi_1 = 0, which is impossible if ϕk\phi_k does not change sign and is not zero.

The same theorem holds for the Dirichlet problem on a connected bounded domain, with the same proof (the Hopf lemma of 6A.5 Maximum Principles adds that ∂νϕ1<0\partial_\nu\phi_1 < 0 on a smooth boundary). Its discrete analogue is the Perron–Frobenius theorem: a matrix with positive entries has a simple largest eigenvalue with a positive eigenvector. In both cases positivity comes from the same source, the fact that the operator (or its resolvent, or its heat semigroup) preserves positivity: the heat kernel is positive (6A.3 The Heat Equation on ℝⁿ), so e−tHe^{-tH} maps positive functions to positive functions, and the ground state is the eigenvector of e−tHe^{-tH} with the largest eigenvalue e−tλ1e^{-t\lambda_1}.

In the world In use PageRank and the positive eigenvector

Google's original ranking of web pages, PageRank (Brin and Page, 1998), assigned to each page the entry of the dominant eigenvector of a stochastic matrix built from the web's link structure, damped so that every entry of the matrix is positive. Perron–Frobenius guarantees that this eigenvector is unique and positive, so every page gets a well-defined positive score, and the power method (repeated multiplication, a discrete heat flow) computes it. The ground state of a Schrödinger operator, the stationary distribution of a Markov chain and the PageRank vector are the same mathematical object: the positive eigenvector of a positivity-preserving operator.

The ground-state substitution

A positive eigenfunction does more than exist: it can be factored out. Let ϕ>0\phi > 0 be smooth with −Δϕ+Vϕ=μϕ-\Delta\phi + V\phi = \mu\phi on an open set U⊆RnU \subseteq \mathbb{R}^n (or on a manifold). For u=ϕwu = \phi w with ww smooth and compactly supported in UU,

∫(∣∇u∣2+Vu2)−μ∫u2=∫ϕ2∣∇w∣2≥0\int\big(|\nabla u|^2 + Vu^2\big) - \mu\int u^2 = \int\phi^2|\nabla w|^2 \geq 0

(Exercise 16.5). The quadratic form of −Δ+V−μ-\Delta + V - \mu, in the variable w=u/ϕw = u/\phi, is a pure Dirichlet energy with weight ϕ2\phi^2. Two consequences:

Positivity of the form. If there is a positive solution of −Δϕ+Vϕ=μϕ-\Delta\phi + V\phi = \mu\phi on UU, then −Δ+V≥μ-\Delta + V \geq \mu on functions supported in UU. Positive (super)solutions are certificates of lower bounds for the spectrum (a principle going back to Jacobi's study of conjugate points, and known as the Allegretto–Piepenbrink theorem in spectral theory).

Hardy's inequality. On Rn∖{0}\mathbb{R}^n\setminus\{0\}, n≥3n \geq 3, the function ϕ=∣x∣−(n−2)/2\phi = |x|^{-(n-2)/2} satisfies −Δϕ=(n−2)24ϕ∣x∣2-\Delta\phi = \frac{(n - 2)^2}{4}\frac{\phi}{|x|^2} (Exercise 16.6). Taking V=−(n−2)24∣x∣2V = -\frac{(n - 2)^2}{4|x|^2} and μ=0\mu = 0 gives

∫Rn∣∇u∣2≥(n−2)24∫Rnu2∣x∣2,u∈Cc∞(Rn∖{0}),\int_{\mathbb{R}^n}|\nabla u|^2 \geq \frac{(n - 2)^2}{4}\int_{\mathbb{R}^n}\frac{u^2}{|x|^2}, \qquad u \in C^\infty_c(\mathbb{R}^n\setminus\{0\}),

with the best constant (it is approached by u≈ϕu \approx \phi cut off near 00 and ∞\infty, for which ∫ϕ2∣∇w∣2\int\phi^2|\nabla w|^2 is relatively small). Hardy's inequality is the uncertainty principle of quantum mechanics in a sharp form: a particle cannot be both localised near the origin and have small kinetic energy. It is also scale invariant, like Sobolev's inequality (4A.11 Sobolev Embeddings and Critical Exponents), and both reappear in the analysis of singularities.

The hydrogen atom. In units where the Schrödinger operator of the electron is −Δ−2∣x∣-\Delta - \frac{2}{|x|} on R3\mathbb{R}^3 (energies in Rydbergs, lengths in Bohr radii), ϕ=e−∣x∣\phi = e^{-|x|} is a positive eigenfunction with eigenvalue −1-1 (Exercise 16.7). By the positivity criterion it is the ground state: the binding energy of hydrogen is one Rydberg, about 13.613.6 electronvolts, and the ground state wave function decays exponentially with the Bohr radius as its length scale. The excited states, with energies −1n2-\frac{1}{n^2}, have eigenfunctions that change sign, as Theorem 16.2 requires.

Geometry in the first eigenvalue

The first Dirichlet eigenvalue of a domain measures its size and its shape. Two theorems make this precise, one sharp and one robust.

Theorem 16.3 Faber–Krahn

Among bounded domains Ω⊂Rn\Omega \subset \mathbb{R}^n of given volume, the ball has the smallest first Dirichlet eigenvalue: λ1(Ω)≥λ1(Ω∗)\lambda_1(\Omega) \geq \lambda_1(\Omega^*), where Ω∗\Omega^* is the ball with ∣Ω∗∣=∣Ω∣|\Omega^*| = |\Omega|, with equality only for balls. (Statement.)

Rayleigh conjectured this in The Theory of Sound (1877) on the basis of computations, and Georg Faber (1923) and Edgar Krahn (1925) proved it. The proof replaces the first eigenfunction uu by its symmetric decreasing rearrangement u∗u^*, the radial decreasing function on Ω∗\Omega^* whose superlevel sets {u∗>s}\{u^* > s\} are balls with the same volumes as {u>s}\{u > s\}. Rearrangement preserves ∫u2\int u^2, and the Pólya–Szegő inequality ∫∣∇u∗∣2≤∫∣∇u∣2\int|\nabla u^*|^2 \leq \int|\nabla u|^2, which follows from the coarea formula and the isoperimetric inequality applied to each level set, shows that it does not increase the Dirichlet energy. So u∗u^* is a test function on the ball with smaller Rayleigh quotient. The ball sounds lowest because it is the most isoperimetric shape. For a disc of radius RR, λ1=j0,12/R2\lambda_1 = j_{0,1}^2/R^2 with j0,1≈2.405j_{0,1} \approx 2.405 the first zero of the Bessel function J0J_0.

The isoperimetric inequality enters Faber–Krahn through every level set. Jeff Cheeger (1970) found a robust version that needs only an isoperimetric constant. For a domain Ω\Omega, let

h(Ω)=inf⁡A∣∂A∣∣A∣,h(\Omega) = \inf_A\frac{|\partial A|}{|A|},

the infimum over smooth open sets AA with closure in Ω\Omega: the cheapest way, in boundary area per unit volume, to cut a piece out of Ω\Omega.

Theorem 16.4 Cheeger's inequality

λ1D(Ω)≥h(Ω)24\lambda_1^D(\Omega) \geq \dfrac{h(\Omega)^2}{4}.

Proof. Let u≥0u \geq 0 be smooth with compact support in Ω\Omega (by density, this suffices for the Rayleigh quotient), and let F=u2F = u^2. By the coarea formula, ∫Ω∣∇F∣ dx=∫0∞∣{F=s}∣ ds\int_\Omega|\nabla F|\,dx = \int_0^\infty|\{F = s\}|\,ds, the area of the level sets integrated over levels. For almost every s>0s > 0, {F>s}\{F > s\} is a smooth open set with closure in Ω\Omega and boundary {F=s}\{F = s\} (Sard's theorem, 7A.8 Smooth Topology), so ∣{F=s}∣≥h ∣{F>s}∣|\{F = s\}| \geq h\,|\{F > s\}|. Hence

∫∣∇F∣≥h∫0∞∣{F>s}∣ ds=h∫F=h∫u2,\int|\nabla F| \geq h\int_0^\infty|\{F > s\}|\,ds = h\int F = h\int u^2,

by the layer-cake formula, which is Tonelli's theorem (3A.5 Product Measures and Change of Variables). On the other hand ∫∣∇F∣=2∫u∣∇u∣≤2∥u∥L2∥∇u∥L2\int|\nabla F| = 2\int u|\nabla u| \leq 2\|u\|_{L^2}\|\nabla u\|_{L^2} by Cauchy–Schwarz. Combining, h∥u∥2≤2∥u∥∥∇u∥h\|u\|^2 \leq 2\|u\|\|\nabla u\|, so ∫∣∇u∣2∫u2≥h24\frac{\int|\nabla u|^2}{\int u^2} \geq \frac{h^2}{4}.

The inequality is sharp in order of magnitude, not in constant, and it has a converse of sorts: Peter Buser (1982) proved that on closed manifolds with Ricci curvature bounded below, λ1\lambda_1 (now the first nonzero eigenvalue, with hh defined by cutting the manifold into two pieces) is bounded above by a constant times h+h2h + h^2. A manifold with a thin neck has small hh, because cutting the neck is cheap, and therefore small λ1\lambda_1; the first eigenfunction is then nearly constant on each side of the neck, with opposite signs, and changes sign in the neck. The connection between small eigenvalues and necks will be met again: a Ricci flow developing a neckpinch between two large regions has a first nonzero eigenvalue that tends to zero, by Buser's inequality, because cutting the neck becomes cheap.

In the world In use Spectral clustering

The discrete versions of these facts are tools of data analysis. For a graph with vertices VV and weighted edges, the graph Laplacian L=D−WL = D - W (WW the weight matrix, DD the diagonal matrix of degrees) is a positive semidefinite matrix whose quadratic form is ∑ijwij(xi−xj)2/2\sum_{ij}w_{ij}(x_i - x_j)^2/2, the discrete Dirichlet energy. Its smallest eigenvalue is 00 (constants), and Miroslav Fiedler (1973) showed that the second, which he called the algebraic connectivity, is positive exactly when the graph is connected. Discrete Cheeger inequalities (Dodziuk 1984; Alon and Milman 1985) bound it above and below by the graph's isoperimetric constant, so a small second eigenvalue means a bottleneck. Spectral clustering (Shi and Malik's "normalized cuts" for image segmentation, 2000; Ng, Jordan and Weiss, 2001) splits a data set by the signs of the second eigenvector, the Fiedler vector: the discrete version of the eigenfunction that changes sign in the neck. It is one of the standard methods of unsupervised learning, and its justification is the Cheeger inequality of this section.

On manifolds. Lower bounds for the first nonzero eigenvalue of a closed manifold come from curvature. If Ric⁡≥(n−1)g\operatorname{Ric} \geq (n - 1)g, then λ1≥n\lambda_1 \geq n (Lichnerowicz, 1958, proved in 9A.6 The Laplacian and the Bochner Formula by the Bochner formula), with equality only on the round sphere (Obata, 1962); if Ric⁡≥0\operatorname{Ric} \geq 0 and the diameter is dd, then λ1≥π2d2\lambda_1 \geq \frac{\pi^2}{d^2} (Zhong and Yang, 1984, sharpening π22d2\frac{\pi^2}{2d^2} of Li and Yau, 1980). These are the estimates that a Ricci-flow argument controlling curvature can turn into spectral control.

Perelman's λ\lambda

Let (M,g)(M, g) be a closed manifold with scalar curvature RR. Perelman's

λ(g)=inf⁡{∫M(4∣∇w∣2+Rw2) dV:w∈H1(M), ∫Mw2 dV=1}\lambda(g) = \inf\Big\{\int_M\big(4|\nabla w|^2 + Rw^2\big)\,dV : w \in H^1(M),\ \int_Mw^2\,dV = 1\Big\}

is the first eigenvalue of −4Δ+R=4(−Δ+R4)-4\Delta + R = 4\big(-\Delta + \frac R4\big), a Schrödinger operator with potential R4\frac R4, scaled by 44. By Theorem 16.2 the infimum is attained by a unique positive smooth ww with ∫w2=1\int w^2 = 1, solving

−4Δw+Rw=λw.-4\Delta w + Rw = \lambda w.

Perelman writes w=e−f/2w = e^{-f/2}, which is possible precisely because w>0w > 0. Then 4∣∇w∣2=∣∇f∣2e−f4|\nabla w|^2 = |\nabla f|^2e^{-f} and w2=e−fw^2 = e^{-f} (12A.2 Ricci Flow as a Gradient Flow), so

λ(g)=inf⁡{F(g,f)=∫M(R+∣∇f∣2)e−f dV:∫Me−f dV=1},\lambda(g) = \inf\Big\{\mathcal F(g, f) = \int_M\big(R + |\nabla f|^2\big)e^{-f}\,dV : \int_Me^{-f}\,dV = 1\Big\},

the minimum of his energy functional F\mathcal F, and the minimiser ff satisfies

2Δf−∣∇f∣2+R=λ2\Delta f - |\nabla f|^2 + R = \lambda

(Exercise 16.8). Perelman remarks in his §1 that F\mathcal F had appeared in string theory as the low-energy effective action, with ff the dilaton. What makes λ\lambda useful is that every property needed later is a ground-state property:

  • It is attained, by a unique minimiser. Uniqueness is simplicity of the ground state, and it is what makes ff a well-defined function of gg: there is no choice to be made.
  • It is a smooth function of the metric. A simple eigenvalue of an operator depending smoothly on parameters depends smoothly on them, with a smooth eigenfunction (Kato's perturbation theory; Exercise 16.11 derives the derivative, assuming differentiability). So λ(g(t))\lambda(g(t)) is a differentiable function of tt along a smooth flow, and its derivative can be computed by differentiating the Rayleigh quotient at the minimiser alone: the change in ww does not contribute, because ww is a critical point. This is how Perelman computes ddtλ=2∫∣Ric⁡+∇2f∣2e−f dV≥0\frac{d}{dt}\lambda = 2\int|\operatorname{Ric} + \nabla^2f|^2e^{-f}\,dV \geq 0 along the Ricci flow (12A.2 Ricci Flow as a Gradient Flow); Kleiner and Lott discuss the smooth dependence of the minimiser in their §7.
  • It is trapped by the scalar curvature. Since 4∣∇w∣2≥04|\nabla w|^2 \geq 0, λ≥min⁡R\lambda \geq \min R. Testing with the constant w=Vol⁡−1/2w = \operatorname{Vol}^{-1/2} gives λ≤Rˉ\lambda \leq \bar R, the average of RR. So
min⁡MR≤λ(g)≤1Vol⁡(M)∫MR dV,\min_MR \leq \lambda(g) \leq \frac{1}{\operatorname{Vol}(M)}\int_MR\,dV,

with equality on either side exactly when RR is constant (Exercise 16.9).

  • It scales like curvature. For a constant c>0c > 0, λ(cg)=c−1λ(g)\lambda(cg) = c^{-1}\lambda(g), because Rcg=c−1RgR_{cg} = c^{-1}R_g, ∣∇w∣cg2=c−1∣∇w∣g2|\nabla w|_{cg}^2 = c^{-1}|\nabla w|_g^2, and the normalisation ∫w2 dVcg=1\int w^2\,dV_{cg} = 1 rescales ww by a constant (Exercise 16.10). So λ\lambda is not scale invariant, which is why it can rule out steady breathers but not shrinking ones; for those Perelman needed the scale-invariant entropy μ\mu (12A.3 The 𝓦-Entropy).

Model values. On a manifold of constant scalar curvature, the constant function is the ground state and λ=R\lambda = R: for the unit round SnS^n, λ=n(n−1)\lambda = n(n - 1); for a flat torus, λ=0\lambda = 0; for a compact hyperbolic manifold, λ=−n(n−1)\lambda = -n(n - 1); for the round cylinder S2×S1S^2\times S^1 with unit sphere factor, λ=2\lambda = 2. On a metric with a thin neck the ground state of −4Δ+R-4\Delta + R concentrates where RR is smallest, which is not in the neck (where RR is large and positive), and λ\lambda sees the regions of least scalar curvature.

The sign of λ\lambda and the Yamabe problem. In dimension n≥3n \geq 3 the conformal Laplacian −4(n−1)n−2Δ+R-\frac{4(n - 1)}{n - 2}\Delta + R governs whether a metric is conformal to one of positive scalar curvature: its first eigenvalue has the sign of the Yamabe invariant of the conformal class (Kazdan and Warner, 1975), and if it is positive, the conformal factor u4/(n−2)u^{4/(n-2)} built from its ground state uu gives a metric u4/(n−2)gu^{4/(n-2)}g of positive scalar curvature. Since 4(n−1)n−2>4\frac{4(n - 1)}{n - 2} > 4, the conformal Laplacian's form dominates Perelman's: if λ(g)>0\lambda(g) > 0, then the conformal class of gg contains a metric of positive scalar curvature (Exercise 16.12). Perelman's monotonicity of λ\lambda therefore says that along the Ricci flow the metric, if ever "spectrally positive", stays so; the obstructions to positive scalar curvature studied in 9B.6 Scalar Curvature and Topology obstruct λ>0\lambda > 0.

Where this goes Where this goes

12A.2 Ricci Flow as a Gradient Flow proves that λ\lambda is nondecreasing along the Ricci flow, and that its constancy forces a steady gradient soliton, hence on a closed manifold a Ricci-flat metric: there are no steady breathers. 12A.3 The 𝓦-Entropy replaces λ\lambda by the scale-invariant μ(g,τ)\mu(g, \tau), built on the log-Sobolev inequality of 6A.12 Entropy, Information and Diffusion, to exclude shrinking breathers, and 12A.4 κ-Noncollapsing uses μ\mu to prove noncollapsing. 9A.6 The Laplacian and the Bochner Formula proves Lichnerowicz's eigenvalue estimate, and 9B.7 The Heat Equation on a Manifold develops the heat kernel whose positivity made the ground state positive.

History

Rayleigh's Theory of Sound (1877) introduced the variational principle for the lowest frequency and conjectured that the disc minimises it. Ritz's method dates from 1909. Perron (1907) and Frobenius (1912) proved the positivity theorem for matrices. Courant formulated the min–max principle around 1920 (Fischer had the matrix case in 1905, and Weyl used related ideas in 1912). Faber and Krahn proved Rayleigh's conjecture in 1923–25, and Pólya and Szegő's book on isoperimetric inequalities in mathematical physics appeared in 1951. Hardy's inequality dates from the 1920s. Lichnerowicz's eigenvalue estimate appeared in 1958 and Obata's rigidity theorem in 1962. Cheeger proved his inequality in 1970 and Buser its converse in 1982; Fiedler introduced algebraic connectivity in 1973, and discrete Cheeger inequalities were proved by Dodziuk (1984) and Alon and Milman (1985). Kazdan and Warner's work on scalar curvature and the conformal Laplacian dates from 1975. Li and Yau's eigenvalue bound appeared in 1980 and Zhong and Yang's sharp version in 1984. PageRank was published in 1998 and normalized cuts in 2000. Perelman's λ\lambda appeared in his first preprint, in November 2002.

Recall Where we stand

Eigenvalues of self-adjoint operators with compact resolvent are min–max values of the Rayleigh quotient: test functions give upper bounds (Rayleigh, Ritz, finite elements), larger domains have lower eigenvalues, and Neumann eigenvalues lie below Dirichlet ones. On a closed manifold the first eigenvalue of −Δg+V-\Delta_g + V is attained (Rellich and lower semicontinuity), simple, with a positive smooth eigenfunction (the ∣u∣|u| trick and Harnack), and all other eigenfunctions change sign; Perron–Frobenius and PageRank are the discrete case. The ground-state substitution u=ϕwu = \phi w turns the form into ∫ϕ2∣∇w∣2\int\phi^2|\nabla w|^2, gives Hardy's inequality with constant (n−2)24\frac{(n-2)^2}{4} and identifies e−∣x∣e^{-|x|} as hydrogen's ground state. Faber–Krahn says the ball sounds lowest; Cheeger's λ1≥h24\lambda_1 \geq \frac{h^2}{4}, proved by the coarea formula, ties small eigenvalues to necks, and its discrete form justifies spectral clustering. Perelman's λ(g)\lambda(g) is the ground-state energy of −4Δ+R-4\Delta + R; with w=e−f/2w = e^{-f/2} it is min⁡F\min\mathcal F, its minimiser solves 2Δf−∣∇f∣2+R=λ2\Delta f - |\nabla f|^2 + R = \lambda, it lies between min⁡R\min R and Rˉ\bar R, scales like c−1c^{-1}, equals RR on homogeneous spaces, depends smoothly on gg because it is simple, and λ>0\lambda > 0 forces a conformal metric of positive scalar curvature.

Recall Book 6B in one paragraph

First-order equations are solved along characteristics, and nonlinear ones develop shocks selected by an entropy condition (6B.1 First-Order Equations and Characteristics, 6B.2 Conservation Laws and Shocks). The wave equation has finite speed and Huygens' principle in odd dimensions (6B.3 The Wave Equation); Green's functions, separation of variables and transforms solve linear problems explicitly (6B.4 Green’s Functions, Separation of Variables and Transforms); Cauchy–Kovalevskaya solves analytic problems and shows why analyticity is the wrong setting (6B.5 Power Series and the Cauchy–Kovalevskaya Theorem). Perron's method and barriers solve the Dirichlet problem (6B.6 Perron’s Method and Barriers); Schauder, LpL^p and De Giorgi–Nash–Moser estimates give regularity for Hölder, continuous and measurable coefficients (6B.7 Schauder Theory and the Continuity Method–6B.9 De Giorgi–Nash–Moser). In harmonic coordinates the Ricci tensor is elliptic, so metrics are as smooth as their curvature allows and Einstein's equations are hyperbolic (6B.10 Harmonic Coordinates and the Regularity of Metrics). Linear parabolic equations have a Hilbert-space theory with instant smoothing (6B.11 Linear Parabolic Equations in Full), yet their solutions are determined by any one time slice: log-convexity and Carleman estimates give backward uniqueness and unique continuation, for the Ricci flow too (6B.12 Unique Continuation and Backward Uniqueness). Semigroups make evolution equations into ODEs in Banach spaces (6B.13 Semigroups and Evolution Equations); hyperbolic systems have energy estimates (6B.14 Hyperbolic Equations and Systems); the heat trace hears volume and curvature (6B.15 Spectral Theory and Heat Trace Asymptotics); and the first eigenvalue, positive ground state and all, is the analytic heart of Perelman's λ\lambda (this chapter).

Book 6C turns to nonlinear equations, starting with the regularity of minimisers (6C.1 Regularity of Minimisers and Constraints).

Exercises

Exercise 16.5 The ground-state substitution

Let ϕ>0\phi > 0 be smooth on UU with −Δϕ+Vϕ=μϕ-\Delta\phi + V\phi = \mu\phi, and u=ϕwu = \phi w with w∈Cc∞(U)w \in C^\infty_c(U). Show that ∫(∣∇u∣2+Vu2−μu2)=∫ϕ2∣∇w∣2\int(|\nabla u|^2 + Vu^2 - \mu u^2) = \int\phi^2|\nabla w|^2. (Expand ∣∇u∣2|\nabla u|^2, write the cross term 2ϕw∇ϕ⋅∇w2\phi w\nabla\phi\cdot\nabla w as ϕ∇ϕ⋅∇(w2)\phi\nabla\phi\cdot\nabla(w^2), and integrate by parts.)

Solution

∇u=w∇ϕ+ϕ∇w\nabla u = w\nabla\phi + \phi\nabla w, so ∣∇u∣2=w2∣∇ϕ∣2+ϕ∇ϕ⋅∇(w2)+ϕ2∣∇w∣2|\nabla u|^2 = w^2|\nabla\phi|^2 + \phi\nabla\phi\cdot\nabla(w^2) + \phi^2|\nabla w|^2. Integrating the middle term by parts: ∫ϕ∇ϕ⋅∇(w2)=−∫w2div⁡(ϕ∇ϕ)=−∫w2(∣∇ϕ∣2+ϕΔϕ)\int\phi\nabla\phi\cdot\nabla(w^2) = -\int w^2\operatorname{div}(\phi\nabla\phi) = -\int w^2(|\nabla\phi|^2 + \phi\Delta\phi). So ∫∣∇u∣2=∫ϕ2∣∇w∣2−∫w2ϕΔϕ=∫ϕ2∣∇w∣2+∫w2ϕ(μ−V)ϕ\int|\nabla u|^2 = \int\phi^2|\nabla w|^2 - \int w^2\phi\Delta\phi = \int\phi^2|\nabla w|^2 + \int w^2\phi(\mu - V)\phi, using −Δϕ=(μ−V)ϕ-\Delta\phi = (\mu - V)\phi. Since w2ϕ2=u2w^2\phi^2 = u^2, this is ∫ϕ2∣∇w∣2+∫(μ−V)u2\int\phi^2|\nabla w|^2 + \int(\mu - V)u^2, which rearranges to the identity.

Exercise 16.6 Hardy's inequality

(a) Show that Δ∣x∣−a=a(a+2−n)∣x∣−a−2\Delta|x|^{-a} = a(a + 2 - n)|x|^{-a-2} on Rn∖{0}\mathbb{R}^n\setminus\{0\}. (b) With a=n−22a = \frac{n - 2}{2}, deduce −Δϕ=(n−2)24ϕ∣x∣2-\Delta\phi = \frac{(n - 2)^2}{4}\frac{\phi}{|x|^2} for ϕ=∣x∣−a\phi = |x|^{-a}, and conclude Hardy's inequality from the substitution. (c) Why does the argument fail for n=2n = 2?

Solution

(a) For a radial function f(r)f(r), Δf=f′′+n−1rf′\Delta f = f'' + \frac{n - 1}{r}f'. With f=r−af = r^{-a}: f′′=a(a+1)r−a−2f'' = a(a + 1)r^{-a-2} and n−1rf′=−a(n−1)r−a−2\frac{n - 1}{r}f' = -a(n - 1)r^{-a-2}, summing to a(a+2−n)r−a−2a(a + 2 - n)r^{-a-2}. (b) With a=n−22a = \frac{n - 2}{2}, a+2−n=−aa + 2 - n = -a, so Δϕ=−a2ϕ/∣x∣2\Delta\phi = -a^2\phi/|x|^2. Then ϕ\phi solves −Δϕ+Vϕ=0-\Delta\phi + V\phi = 0 with V=−a2∣x∣2V = -\frac{a^2}{|x|^2}, and the substitution gives ∫∣∇u∣2−a2∫u2∣x∣2=∫ϕ2∣∇w∣2≥0\int|\nabla u|^2 - a^2\int\frac{u^2}{|x|^2} = \int\phi^2|\nabla w|^2 \geq 0 for uu supported away from 00. (c) For n=2n = 2, a=0a = 0 and the constant is 00: there is no Hardy inequality in the plane, reflecting the fact that log⁡∣x∣\log|x| is harmonic and the plane is "critical" (Brownian motion in the plane is recurrent).

Exercise 16.7 The hydrogen ground state

(a) Show that ϕ=e−∣x∣\phi = e^{-|x|} on R3\mathbb{R}^3 satisfies −Δϕ−2∣x∣ϕ=−ϕ-\Delta\phi - \frac{2}{|x|}\phi = -\phi away from the origin. (b) Using the substitution, show that ∫(∣∇u∣2−2∣x∣u2)≥−∫u2\int(|\nabla u|^2 - \frac{2}{|x|}u^2) \geq -\int u^2 for u∈Cc∞(R3∖{0})u \in C^\infty_c(\mathbb{R}^3\setminus\{0\}), so the ground state energy is −1-1. (c) Check that ψ=(2−r)e−r/2\psi = (2 - r)e^{-r/2} satisfies −Δψ−2rψ=−14ψ-\Delta\psi - \frac2r\psi = -\frac14\psi, and observe that it changes sign.

Solution

(a) In three dimensions, Δf=f′′+2rf′\Delta f = f'' + \frac2rf'; for f=e−rf = e^{-r} this is e−r−2re−re^{-r} - \frac2re^{-r}, so −Δϕ−2rϕ=−e−r+2re−r−2re−r=−ϕ-\Delta\phi - \frac2r\phi = -e^{-r} + \frac2re^{-r} - \frac2re^{-r} = -\phi. (b) The substitution with V=−2rV = -\frac2r, μ=−1\mu = -1 gives ∫(∣∇u∣2−2ru2)+∫u2=∫ϕ2∣∇w∣2≥0\int(|\nabla u|^2 - \frac2ru^2) + \int u^2 = \int\phi^2|\nabla w|^2 \geq 0. (The functions supported away from the origin are dense in the form domain, so this bounds the whole spectrum below by −1-1, and e−re^{-r}, which is in the form domain, attains it.) (c) With f=(2−r)e−r/2f = (2 - r)e^{-r/2}: f′=(−2+r2)e−r/2f' = (-2 + \frac r2)e^{-r/2}, f′′=(32−r4)e−r/2f'' = (\frac32 - \frac r4)e^{-r/2}, so Δf=(32−r4−4r+1)e−r/2=(52−r4−4r)e−r/2\Delta f = (\frac32 - \frac r4 - \frac4r + 1)e^{-r/2} = (\frac52 - \frac r4 - \frac4r)e^{-r/2}. Then −Δf−2rf=(−52+r4+4r−4r+2)e−r/2=(−12+r4)e−r/2=−14f-\Delta f - \frac2rf = (-\frac52 + \frac r4 + \frac4r - \frac4r + 2)e^{-r/2} = (-\frac12 + \frac r4)e^{-r/2} = -\frac14f. It vanishes at r=2r = 2, as an excited state must.

Exercise 16.8 Perelman's Euler–Lagrange equation

With w=e−f/2w = e^{-f/2}, show that ∇w=−12w∇f\nabla w = -\frac12w\nabla f and Δw=(−12Δf+14∣∇f∣2)w\Delta w = \big(-\frac12\Delta f + \frac14|\nabla f|^2\big)w, and deduce that −4Δw+Rw=λw-4\Delta w + Rw = \lambda w is equivalent to 2Δf−∣∇f∣2+R=λ2\Delta f - |\nabla f|^2 + R = \lambda.

Solution

∇w=e−f/2⋅(−12∇f)\nabla w = e^{-f/2}\cdot(-\frac12\nabla f). Then Δw=div⁡(−12w∇f)=−12∇w⋅∇f−12wΔf=14w∣∇f∣2−12wΔf\Delta w = \operatorname{div}(-\frac12w\nabla f) = -\frac12\nabla w\cdot\nabla f - \frac12w\Delta f = \frac14w|\nabla f|^2 - \frac12w\Delta f. So −4Δw+Rw=(2Δf−∣∇f∣2+R)w-4\Delta w + Rw = (2\Delta f - |\nabla f|^2 + R)w, and dividing by w>0w > 0 gives the equation.

Exercise 16.9 λ\lambda between the minimum and the mean

Prove min⁡R≤λ(g)≤Rˉ\min R \leq \lambda(g) \leq \bar R. Show that equality on the left forces RR constant, and equality on the right forces the constant function to be the ground state, hence RR constant.

Solution

For ∫w2=1\int w^2 = 1: ∫(4∣∇w∣2+Rw2)≥∫Rw2≥min⁡R\int(4|\nabla w|^2 + Rw^2) \geq \int Rw^2 \geq \min R, so λ≥min⁡R\lambda \geq \min R. The constant w=Vol⁡−1/2w = \operatorname{Vol}^{-1/2} gives λ≤1Vol⁡∫R=Rˉ\lambda \leq \frac{1}{\operatorname{Vol}}\int R = \bar R. If λ=min⁡R\lambda = \min R, the minimiser has ∫∣∇w∣2=0\int|\nabla w|^2 = 0, so ww is constant, and the equation Rw=λwRw = \lambda w gives R≡λR \equiv \lambda. If λ=Rˉ\lambda = \bar R, the constant is a minimiser, hence (by simplicity) the ground state, and the equation −4Δw+Rw=λw-4\Delta w + Rw = \lambda w with ww constant gives R≡λR \equiv \lambda.

Exercise 16.10 Scaling

Show that λ(cg)=c−1λ(g)\lambda(cg) = c^{-1}\lambda(g) for constants c>0c > 0. (For cgcg: dVcg=cn/2dVgdV_{cg} = c^{n/2}dV_g, ∣∇w∣cg2=c−1∣∇w∣g2|\nabla w|^2_{cg} = c^{-1}|\nabla w|^2_g, Rcg=c−1RgR_{cg} = c^{-1}R_g.) Deduce that λ(g)Vol⁡(g)2/n\lambda(g)\operatorname{Vol}(g)^{2/n} is scale invariant.

Solution

If ∫w2 dVg=1\int w^2\,dV_g = 1, then w~=c−n/4w\tilde w = c^{-n/4}w has ∫w~2 dVcg=1\int\tilde w^2\,dV_{cg} = 1, and ∫(4∣∇w~∣cg2+Rcgw~2) dVcg=c−n/2⋅c−1⋅cn/2∫(4∣∇w∣g2+Rgw2) dVg\int(4|\nabla\tilde w|_{cg}^2 + R_{cg}\tilde w^2)\,dV_{cg} = c^{-n/2}\cdot c^{-1}\cdot c^{n/2}\int(4|\nabla w|_g^2 + R_gw^2)\,dV_g. The correspondence w↔w~w \leftrightarrow \tilde w is a bijection of the constraint sets, so λ(cg)=c−1λ(g)\lambda(cg) = c^{-1}\lambda(g). Since Vol⁡(cg)2/n=cVol⁡(g)2/n\operatorname{Vol}(cg)^{2/n} = c\operatorname{Vol}(g)^{2/n}, the product is invariant; it is the quantity Perelman uses for expanding breathers (12A.2 Ricci Flow as a Gradient Flow).

Exercise 16.11 The derivative of a simple eigenvalue

Let H(t)=−Δg(t)+V(t)H(t) = -\Delta_{g(t)} + V(t) depend smoothly on tt, and suppose the first eigenvalue λ(t)\lambda(t) and a normalised eigenfunction w(t)w(t) (with respect to dVg(t)dV_{g(t)}) are differentiable in tt. Show that λ′(t)\lambda'(t) equals the derivative of t↦Qt(w)/∥w∥t2t \mapsto Q_t(w)/\|w\|_t^2 at fixed w=w(t0)w = w(t_0). (Hint: λ(t)=Qt(w(t))\lambda(t) = Q_t(w(t)) with ∥w(t)∥t=1\|w(t)\|_t = 1, and the derivative of Qt0(w(t))−λ(t0)∥w(t)∥t02Q_{t_0}(w(t)) - \lambda(t_0)\|w(t)\|_{t_0}^2 vanishes because w(t0)w(t_0) is a critical point.) This is the Hellmann–Feynman theorem of quantum mechanics, and it is why Perelman's evolution of λ\lambda involves only the evolution of the metric at the minimiser.

Solution

Define G(s,t)=Qs(w(t))−λ(t0)∥w(t)∥s2G(s, t) = Q_s(w(t)) - \lambda(t_0)\|w(t)\|_s^2. Then λ(t)−λ(t0)=G(t,t)+λ(t0)(∥w(t)∥t2−1)=G(t,t)\lambda(t) - \lambda(t_0) = G(t, t) + \lambda(t_0)(\|w(t)\|_t^2 - 1) = G(t, t), since ∥w(t)∥t=1\|w(t)\|_t = 1. Differentiate at t0t_0: λ′(t0)=∂sG+∂tG\lambda'(t_0) = \partial_sG + \partial_tG. The second term is the derivative of Qt0(w(t))−λ(t0)∥w(t)∥t02Q_{t_0}(w(t)) - \lambda(t_0)\|w(t)\|_{t_0}^2, which is 2⟨(H(t0)−λ(t0))w(t0),w′(t0)⟩t0=02\langle(H(t_0) - \lambda(t_0))w(t_0), w'(t_0)\rangle_{t_0} = 0. The first is the derivative in ss of Qs(w0)−λ(t0)∥w0∥s2Q_s(w_0) - \lambda(t_0)\|w_0\|_s^2 with w0=w(t0)w_0 = w(t_0) fixed, which equals the derivative of the Rayleigh quotient Qs(w0)/∥w0∥s2Q_s(w_0)/\|w_0\|_s^2 at s=t0s = t_0 (since ∥w0∥t0=1\|w_0\|_{t_0} = 1 and Qt0(w0)=λ(t0)Q_{t_0}(w_0) = \lambda(t_0)).

Exercise 16.12 λ>0\lambda > 0 and positive scalar curvature

In dimension n≥3n \geq 3 let L=−anΔ+RL = -a_n\Delta + R with an=4(n−1)n−2a_n = \frac{4(n - 1)}{n - 2}. (a) Show an>4a_n > 4, deduce that ∫(an∣∇w∣2+Rw2)≥∫(4∣∇w∣2+Rw2)\int(a_n|\nabla w|^2 + Rw^2) \geq \int(4|\nabla w|^2 + Rw^2) for every ww, and conclude that the first eigenvalue λL\lambda_L of LL is at least λ(g)\lambda(g). (b) Let u>0u > 0 be the ground state of LL, with eigenvalue λL>0\lambda_L > 0. Granting the formula Rg~=u−(n+2)/(n−2)LuR_{\tilde g} = u^{-(n+2)/(n-2)}Lu for g~=u4/(n−2)g\tilde g = u^{4/(n-2)}g, show that g~\tilde g has positive scalar curvature.

Solution

(a) an−4=4(n−1)−4(n−2)n−2=4n−2>0a_n - 4 = \frac{4(n - 1) - 4(n - 2)}{n - 2} = \frac{4}{n - 2} > 0, so an∣∇w∣2≥4∣∇w∣2a_n|\nabla w|^2 \geq 4|\nabla w|^2 pointwise and the inequality of forms follows. Taking the infimum over ∫w2=1\int w^2 = 1, λL≥λ(g)\lambda_L \geq \lambda(g); in particular λ(g)>0\lambda(g) > 0 implies λL>0\lambda_L > 0. (b) Lu=λLuLu = \lambda_Lu, so Rg~=u−(n+2)/(n−2)λLu=λLu−4/(n−2)>0R_{\tilde g} = u^{-(n+2)/(n-2)}\lambda_Lu = \lambda_Lu^{-4/(n-2)} > 0, since u>0u > 0. The positivity of the ground state is essential: it is what makes u4/(n−2)u^{4/(n-2)} a metric.

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