© 2026 NeckPinch · www.neckpinch.com · All rights reserved.
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.
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 in §1 and in §2.2; Topping, Lectures on the Ricci Flow, §6.6 ("The zeroth eigenvalue of "), 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 . 12A.2 Ricci Flow as a Gradient Flow continues from here.
6B.15 Spectral Theory and Heat Trace Asymptotics studied the spectrum of the Laplacian as a whole, through the heat trace , 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
the first eigenvalue of the Schrödinger operator , 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 before that monotonicity, that the infimum is attained, by a unique positive smooth function, that 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, is just the lowest eigenvalue of the operator ") and Topping and Kleiner–Lott spell out.
Until Book 8A defines manifolds, "closed manifold" can be read as the torus with a periodic metric (6B.10 Harmonic Coordinates and the Regularity of Metrics): a compact space without boundary, with the Laplace–Beltrami operator and volume . 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 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 ;
- explain spectral clustering, the Fiedler vector and the Perron–Frobenius analogy behind PageRank;
- define Perelman's , derive its Euler–Lagrange equation in the variables and , prove 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 is a smooth function of the metric.
Rayleigh quotients and the min–max principle
Let be a self-adjoint operator, bounded below, with compact resolvent, on a Hilbert space: for example with Dirichlet conditions on a bounded domain (6B.15 Spectral Theory and Heat Trace Asymptotics), with Neumann conditions, or on a closed manifold with bounded. By the spectral theorem for compact operators (4A.8 Compact Operators and Spectra) its spectrum is a sequence of eigenvalues , repeated with multiplicity, with an orthonormal basis of eigenfunctions . Write for the quadratic form, extended to its form domain (for , on ).
the minimum over -dimensional subspaces of the form domain. The minima are attained at and at .
Proof. Expand ; then and , so , with equality at . For of dimension , some nonzero is orthogonal to (by counting dimensions), and for it ; so . On , .
Three consequences follow at once, and they are why the variational characterisation is so useful.
- Upper bounds from test functions. Any trial function gives . 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 , every function in extends by zero to one in with the same Rayleigh quotient, so : a larger drum sounds lower.
- Dirichlet above Neumann. , and both problems have the quadratic form , so : clamping the boundary raises every frequency. (The first Neumann eigenvalue is , with constant eigenfunction.)
The ground state is positive and simple
Let be a closed manifold and a smooth function, and let be the first eigenvalue of . Then:
- the minimum in the Rayleigh quotient is attained, and every minimiser is a smooth eigenfunction;
- there is a minimiser everywhere;
- is simple: its eigenspace is spanned by ;
- every eigenfunction with eigenvalue other than changes sign.
Proof. (1) Let be a minimising sequence with . Then is bounded, so is bounded in . By the Rellich theorem (4A.11 Sobolev Embeddings and Critical Exponents) a subsequence converges strongly in and weakly in to some with , and by weak lower semicontinuity of (4A.7 Weak Convergence and the Direct Method) and strong convergence of , . So is a minimiser. For any , has a minimum at , and its derivative there is : is a weak solution of . Elliptic regularity (6A.6 Weak Solutions and Elliptic Regularity, 6B.7 Schauder Theory and the Continuity Method) makes it smooth.
(2) If is a minimiser, so is : with almost everywhere, so and . By (1), is a smooth solution of , not identically zero. The Harnack inequality for nonnegative solutions (6B.9 De Giorgi–Nash–Moser), or the strong maximum principle applied to (6A.5 Maximum Principles), shows that everywhere: a nonnegative supersolution that vanishes at an interior point vanishes identically on the connected manifold.
(3) Let be any real eigenfunction for . Its positive and negative parts are in , with and , and each has Rayleigh quotient at least ; since the sum has quotient exactly , 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: does not change sign. Two eigenfunctions for that do not change sign cannot be orthogonal, since for ; so the eigenspace is one-dimensional.
(4) An eigenfunction for is orthogonal to , so , which is impossible if 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 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 maps positive functions to positive functions, and the ground state is the eigenvector of with the largest eigenvalue .
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 be smooth with on an open set (or on a manifold). For with smooth and compactly supported in ,
(Exercise 16.5). The quadratic form of , in the variable , is a pure Dirichlet energy with weight . Two consequences:
Positivity of the form. If there is a positive solution of on , then on functions supported in . 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 , , the function satisfies (Exercise 16.6). Taking and gives
with the best constant (it is approached by cut off near and , for which 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 on (energies in Rydbergs, lengths in Bohr radii), is a positive eigenfunction with eigenvalue (Exercise 16.7). By the positivity criterion it is the ground state: the binding energy of hydrogen is one Rydberg, about electronvolts, and the ground state wave function decays exponentially with the Bohr radius as its length scale. The excited states, with energies , 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.
Among bounded domains of given volume, the ball has the smallest first Dirichlet eigenvalue: , where is the ball with , 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 by its symmetric decreasing rearrangement , the radial decreasing function on whose superlevel sets are balls with the same volumes as . Rearrangement preserves , and the Pólya–Szegő inequality , 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 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 , with the first zero of the Bessel function .
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 , let
the infimum over smooth open sets with closure in : the cheapest way, in boundary area per unit volume, to cut a piece out of .
.
Proof. Let be smooth with compact support in (by density, this suffices for the Rayleigh quotient), and let . By the coarea formula, , the area of the level sets integrated over levels. For almost every , is a smooth open set with closure in and boundary (Sard's theorem, 7A.8 Smooth Topology), so . Hence
by the layer-cake formula, which is Tonelli's theorem (3A.5 Product Measures and Change of Variables). On the other hand by Cauchy–Schwarz. Combining, , so .
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, (now the first nonzero eigenvalue, with defined by cutting the manifold into two pieces) is bounded above by a constant times . A manifold with a thin neck has small , because cutting the neck is cheap, and therefore small ; 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.
The discrete versions of these facts are tools of data analysis. For a graph with vertices and weighted edges, the graph Laplacian ( the weight matrix, the diagonal matrix of degrees) is a positive semidefinite matrix whose quadratic form is , the discrete Dirichlet energy. Its smallest eigenvalue is (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 , then (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 and the diameter is , then (Zhong and Yang, 1984, sharpening of Li and Yau, 1980). These are the estimates that a Ricci-flow argument controlling curvature can turn into spectral control.
Perelman's
Let be a closed manifold with scalar curvature . Perelman's
is the first eigenvalue of , a Schrödinger operator with potential , scaled by . By Theorem 16.2 the infimum is attained by a unique positive smooth with , solving
Perelman writes , which is possible precisely because . Then and (12A.2 Ricci Flow as a Gradient Flow), so
the minimum of his energy functional , and the minimiser satisfies
(Exercise 16.8). Perelman remarks in his §1 that had appeared in string theory as the low-energy effective action, with the dilaton. What makes 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 a well-defined function of : 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 is a differentiable function of along a smooth flow, and its derivative can be computed by differentiating the Rayleigh quotient at the minimiser alone: the change in does not contribute, because is a critical point. This is how Perelman computes 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 , . Testing with the constant gives , the average of . So
with equality on either side exactly when is constant (Exercise 16.9).
- It scales like curvature. For a constant , , because , , and the normalisation rescales by a constant (Exercise 16.10). So 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 (12A.3 The 𝓦-Entropy).
Model values. On a manifold of constant scalar curvature, the constant function is the ground state and : for the unit round , ; for a flat torus, ; for a compact hyperbolic manifold, ; for the round cylinder with unit sphere factor, . On a metric with a thin neck the ground state of concentrates where is smallest, which is not in the neck (where is large and positive), and sees the regions of least scalar curvature.
The sign of and the Yamabe problem. In dimension the conformal Laplacian 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 built from its ground state gives a metric of positive scalar curvature. Since , the conformal Laplacian's form dominates Perelman's: if , then the conformal class of contains a metric of positive scalar curvature (Exercise 16.12). Perelman's monotonicity of 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 .
12A.2 Ricci Flow as a Gradient Flow proves that 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 by the scale-invariant , built on the log-Sobolev inequality of 6A.12 Entropy, Information and Diffusion, to exclude shrinking breathers, and 12A.4 κ-Noncollapsing uses 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 appeared in his first preprint, in November 2002.
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 is attained (Rellich and lower semicontinuity), simple, with a positive smooth eigenfunction (the trick and Harnack), and all other eigenfunctions change sign; Perron–Frobenius and PageRank are the discrete case. The ground-state substitution turns the form into , gives Hardy's inequality with constant and identifies as hydrogen's ground state. Faber–Krahn says the ball sounds lowest; Cheeger's , proved by the coarea formula, ties small eigenvalues to necks, and its discrete form justifies spectral clustering. Perelman's is the ground-state energy of ; with it is , its minimiser solves , it lies between and , scales like , equals on homogeneous spaces, depends smoothly on because it is simple, and forces a conformal metric of positive scalar curvature.
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, 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 (this chapter).
Book 6C turns to nonlinear equations, starting with the regularity of minimisers (6C.1 Regularity of Minimisers and Constraints).
Exercises
Let be smooth on with , and with . Show that . (Expand , write the cross term as , and integrate by parts.)
Solution
, so . Integrating the middle term by parts: . So , using . Since , this is , which rearranges to the identity.
(a) Show that on . (b) With , deduce for , and conclude Hardy's inequality from the substitution. (c) Why does the argument fail for ?
Solution
(a) For a radial function , . With : and , summing to . (b) With , , so . Then solves with , and the substitution gives for supported away from . (c) For , and the constant is : there is no Hardy inequality in the plane, reflecting the fact that is harmonic and the plane is "critical" (Brownian motion in the plane is recurrent).
(a) Show that on satisfies away from the origin. (b) Using the substitution, show that for , so the ground state energy is . (c) Check that satisfies , and observe that it changes sign.
Solution
(a) In three dimensions, ; for this is , so . (b) The substitution with , gives . (The functions supported away from the origin are dense in the form domain, so this bounds the whole spectrum below by , and , which is in the form domain, attains it.) (c) With : , , so . Then . It vanishes at , as an excited state must.
With , show that and , and deduce that is equivalent to .
Solution
. Then . So , and dividing by gives the equation.
Prove . Show that equality on the left forces constant, and equality on the right forces the constant function to be the ground state, hence constant.
Solution
For : , so . The constant gives . If , the minimiser has , so is constant, and the equation gives . If , the constant is a minimiser, hence (by simplicity) the ground state, and the equation with constant gives .
Show that for constants . (For : , , .) Deduce that is scale invariant.
Solution
If , then has , and . The correspondence is a bijection of the constraint sets, so . Since , the product is invariant; it is the quantity Perelman uses for expanding breathers (12A.2 Ricci Flow as a Gradient Flow).
Let depend smoothly on , and suppose the first eigenvalue and a normalised eigenfunction (with respect to ) are differentiable in . Show that equals the derivative of at fixed . (Hint: with , and the derivative of vanishes because is a critical point.) This is the Hellmann–Feynman theorem of quantum mechanics, and it is why Perelman's evolution of involves only the evolution of the metric at the minimiser.
Solution
Define . Then , since . Differentiate at : . The second term is the derivative of , which is . The first is the derivative in of with fixed, which equals the derivative of the Rayleigh quotient at (since and ).
In dimension let with . (a) Show , deduce that for every , and conclude that the first eigenvalue of is at least . (b) Let be the ground state of , with eigenvalue . Granting the formula for , show that has positive scalar curvature.
Solution
(a) , so pointwise and the inequality of forms follows. Taking the infimum over , ; in particular implies . (b) , so , since . The positivity of the ground state is essential: it is what makes a metric.
Free resources for this chapter
Chosen for what this chapter covers, and all free to read. Links checked Oct 20, 2026.
- Book The zeroth eigenvalue of −4Δ + RPeter Topping, Lectures on the Ricci Flow (free from the author) · §6.6Existence, positivity and uniqueness of the minimiser of Perelman’s λ, by the argument of this chapter.
- Notes Notes on Perelman’s papersBruce Kleiner and John Lott, arXiv (2006) · §7The λ-invariant, its monotonicity and its applications, filling in Perelman’s §2.
- Reference Min-max theoremWikipediaThe Courant–Fischer characterisation of eigenvalues.
- Reference Rayleigh–Faber–Krahn inequalityWikipediaWhy the ball has the lowest first eigenvalue.
- Reference Cheeger constantWikipediaCheeger’s and Buser’s inequalities on manifolds.
- Reference Spectral clusteringWikipediaGraph Laplacians, the Fiedler vector and normalized cuts.
© 2026 NeckPinch (www.neckpinch.com). All content in the guidebook (text, mathematics, figures and exercises) is protected by copyright. All rights reserved. No part may be copied, republished or redistributed without written permission.