Book 6B

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Course 6Book 6B: Linear PDE: Characteristics, Waves and RegularityChapter 15

Spectral Theory and Heat Trace Asymptotics

Self-adjoint operators, the heat trace, Weyl’s law, and what the spectrum hears.

39 min read · Updated Oct 23, 2026

Read with Taylor II, §8.1–8.3 ("The spectral theorem", "Self-adjoint differential operators", "Heat asymptotics and eigenvalue asymptotics"); Evans, Partial Differential Equations, section 6.5 (eigenvalues of elliptic operators); Jost, section 11.5 (eigenvalues of elliptic operators). This chapter proves the Friedrichs construction of the Dirichlet Laplacian, the domain monotonicity of heat kernels, and the leading term of the heat trace (Kac's principle); Karamata's Tauberian theorem and the higher terms are stated.

In this chapter · 7 sections
  1. 15.1Counting the modes of a cavity
  2. 15.2Unbounded self-adjoint operators
  3. 15.3The heat kernel of a domain
  4. 15.4The heat trace knows the volume
  5. 15.5From heat traces to Weyl's law
  6. 15.6History
  7. 15.7Exercises
  8. ↗Free resources

4A.8 Compact Operators and Spectra proved that the Dirichlet Laplacian on a bounded domain has an orthonormal basis of eigenfunctions, with eigenvalues λ1≤λ2≤⋯→∞\lambda_1 \leq \lambda_2 \leq \cdots \to \infty, and asked what they know about the domain: Weyl's law says they know its area, and Gordon, Webb and Wolpert showed they do not always know its shape. This chapter connects that question to the heat equation, and answers part of it with proofs.

The connection is the heat trace

Z(t)=∑ke−λkt,Z(t) = \sum_ke^{-\lambda_kt},

the trace of the heat semigroup etΔe^{t\Delta}. On one hand it is built from the eigenvalues alone. On the other, it is the integral of the heat kernel on the diagonal, ∫Ωpt(x,x) dx\int_\Omega p_t(x, x)\,dx, and for small tt heat has had no time to feel the boundary or the curvature, so pt(x,x)p_t(x, x) is almost the Euclidean value (4πt)−n/2(4\pi t)^{-n/2}. Hence Z(t)≈∣Ω∣(4πt)n/2Z(t) \approx \frac{|\Omega|}{(4\pi t)^{n/2}}: the eigenvalues determine the volume. Corrections, as tt grows, see the boundary (its length or area) and, on a curved manifold, the scalar curvature. A Tauberian theorem converts the small-tt behaviour of ZZ into the large-λ\lambda behaviour of the eigenvalue counting function, which is Weyl's law.

On the way, the chapter makes rigorous something 4A.8 Compact Operators and Spectra treated informally: the Laplacian is an unbounded operator, and to apply spectral theory one must say on which domain it acts and check that it is self-adjoint there. The Friedrichs extension does this through the quadratic form ∫∣∇u∣2\int|\nabla u|^2, and it is the route by which every elliptic operator in this guide, including the operator −4Δ+R-4\Delta + R whose lowest eigenvalue is Perelman's λ\lambda-invariant (12A.2 Ricci Flow as a Gradient Flow), becomes a self-adjoint operator with a spectral theorem.

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

  • distinguish symmetric and self-adjoint unbounded operators, and construct the Dirichlet Laplacian as a self-adjoint operator from its quadratic form;
  • use the spectral theorem for operators with compact resolvent to define etΔe^{t\Delta}, cos⁡(t−Δ)\cos(t\sqrt{-\Delta}) and other functions of the Laplacian, and write the heat kernel as an eigenfunction series;
  • prove that the Dirichlet heat kernel is positive, symmetric and bounded by the Euclidean heat kernel, and that Z(t)=∫pt(x,x) dxZ(t) = \int p_t(x, x)\,dx;
  • prove Z(t)∼∣Ω∣(4πt)−n/2Z(t) \sim |\Omega|(4\pi t)^{-n/2} as t→0t \to 0, and deduce Weyl's law with Karamata's Tauberian theorem;
  • compute heat traces exactly for intervals, tori and spheres, and read off length, area and curvature from them.

Counting the modes of a cavity

In the world Model Lorentz's problem and black-body radiation

At the end of the nineteenth century, physicists computing the spectrum of radiation inside a hot cavity (black-body radiation) needed to count the electromagnetic standing waves in the cavity with frequency below a given value. Lord Rayleigh and James Jeans did the count for a cube, where the modes can be listed explicitly (Exercise 15.6): the number of modes with frequency below ν\nu is about 8πVν33c3\frac{8\pi V\nu^3}{3c^3}, proportional to the volume VV and independent of the shape of the cube. Classical statistical mechanics then assigns each mode the same energy, which gives the Rayleigh–Jeans law, correct at low frequencies and absurd at high ones (the "ultraviolet catastrophe" that Planck's quantum hypothesis resolved).

But physicists assumed that the count, and hence the radiation, did not depend on the shape of the cavity, only its volume. In lectures at Göttingen in 1910, Hendrik Lorentz posed this as a mathematical problem: prove that the number of eigenvalues of the Laplacian below Λ\Lambda is asymptotically proportional to the volume, for every reasonable domain. Hermann Weyl, then a young lecturer there, proved it within a few months (1911). Weyl's law is the first theorem of spectral geometry, and it underlies the density of states in solid-state physics, the counting of quantum energy levels, and the semiclassical limit of quantum mechanics.

Unbounded self-adjoint operators

The Laplacian is not defined on all of L2(Ω)L^2(\Omega), and on the functions where it is defined it is not bounded (∥Δsin⁡kx∥=k2∥sin⁡kx∥\|\Delta\sin kx\| = k^2\|\sin kx\|). Spectral theory for such operators needs care about domains.

An unbounded operator on a Hilbert space HH is a linear map A:D(A)→HA : D(A) \to H from a subspace D(A)D(A), its domain. It is densely defined if D(A)D(A) is dense, and symmetric if ⟨Au,v⟩=⟨u,Av⟩\langle Au, v\rangle = \langle u, Av\rangle for all u,v∈D(A)u, v \in D(A). Its adjoint A∗A^* has domain

D(A∗)={v∈H:u↦⟨Au,v⟩ is bounded on D(A)},D(A^*) = \{v \in H : u \mapsto \langle Au, v\rangle \text{ is bounded on } D(A)\},

and A∗vA^*v is the vector representing that functional (Riesz, 4A.5 Hilbert Spaces and Lax–Milgram). AA is self-adjoint if A=A∗A = A^*, including equality of domains. Symmetric means A⊆A∗A \subseteq A^*; self-adjoint means no room is left between them.

The distinction is not pedantic. On L2(0,1)L^2(0, 1), the operator −d2dx2-\frac{d^2}{dx^2} on Cc∞(0,1)C_c^\infty(0, 1) is symmetric, but its adjoint acts on all of H2(0,1)H^2(0, 1) with no boundary conditions, and it has many self-adjoint extensions: Dirichlet (u=0u = 0 at both ends), Neumann (u′=0u' = 0), periodic, Robin, each with a different spectrum (Exercise 15.7). Physically, the boundary conditions are part of the operator. Only for a self-adjoint operator does the spectral theorem hold, and only then is e−itAe^{-itA} a unitary evolution (quantum mechanics) or e−tAe^{-tA} a well-defined heat flow.

The Friedrichs construction. Quadratic forms give self-adjoint operators automatically. Let Ω\Omega be bounded and open, and on H01(Ω)H^1_0(\Omega) consider the form Q(u,v)=∫∇u⋅∇vQ(u, v) = \int\nabla u\cdot\nabla v.

Theorem 15.1 The Dirichlet Laplacian is self-adjoint

Define −ΔD-\Delta_D with domain

D(−ΔD)={u∈H01(Ω):there is f∈L2(Ω) with ∫∇u⋅∇v=∫fv for all v∈H01},−ΔDu=f.D(-\Delta_D) = \Big\{u \in H^1_0(\Omega) : \text{there is } f \in L^2(\Omega) \text{ with } \int\nabla u\cdot\nabla v = \int fv \text{ for all } v \in H^1_0\Big\}, \qquad -\Delta_Du = f.

Then −ΔD-\Delta_D is self-adjoint and non-negative, its inverse G=(−ΔD)−1G = (-\Delta_D)^{-1} is a compact self-adjoint operator on L2(Ω)L^2(\Omega), and there is an orthonormal basis of L2(Ω)L^2(\Omega) of eigenfunctions ϕk∈D(−ΔD)\phi_k \in D(-\Delta_D) with −ΔDϕk=λkϕk-\Delta_D\phi_k = \lambda_k\phi_k, 0<λ1≤λ2≤⋯→∞0 < \lambda_1 \leq \lambda_2 \leq \cdots \to \infty.

Proof. The inverse. For f∈L2f \in L^2, Lax–Milgram gives a unique u∈H01u \in H^1_0 with Q(u,v)=∫fvQ(u, v) = \int fv for all vv (the form is coercive by Poincaré, 4A.10 Sobolev Spaces); call it GfGf. By definition Gf∈D(−ΔD)Gf \in D(-\Delta_D) and −ΔDGf=f-\Delta_DGf = f, and conversely every u∈D(−ΔD)u \in D(-\Delta_D) equals G(−ΔDu)G(-\Delta_Du) (uniqueness in Lax–Milgram). So −ΔD-\Delta_D is a bijection from its domain onto L2L^2, with inverse GG. GG is bounded, self-adjoint (∫(Gf)g=Q(Gg,Gf)=∫f(Gg)\int(Gf)g = Q(Gg, Gf) = \int f(Gg), by symmetry of QQ), positive, and compact (it maps L2L^2 boundedly into H01H^1_0, which embeds compactly into L2L^2 by Rellich): 4A.8 Compact Operators and Spectra.

Self-adjointness. −ΔD-\Delta_D is symmetric: ⟨−ΔDu,v⟩=Q(u,v)=⟨u,−ΔDv⟩\langle-\Delta_Du, v\rangle = Q(u, v) = \langle u, -\Delta_Dv\rangle. If v∈D((−ΔD)∗)v \in D((-\Delta_D)^*) with w=(−ΔD)∗vw = (-\Delta_D)^*v, then for all f∈L2f \in L^2, ⟨f,v⟩=⟨−ΔDGf,v⟩=⟨Gf,w⟩=⟨f,Gw⟩\langle f, v\rangle = \langle-\Delta_DGf, v\rangle = \langle Gf, w\rangle = \langle f, Gw\rangle, so v=Gw∈D(−ΔD)v = Gw \in D(-\Delta_D). Hence D((−ΔD)∗)⊆D(−ΔD)D((-\Delta_D)^*) \subseteq D(-\Delta_D), and with symmetry the two operators are equal.

Eigenfunctions. The spectral theorem for the compact self-adjoint operator GG (4A.8 Compact Operators and Spectra) gives an orthonormal basis of eigenvectors Gϕk=μkϕkG\phi_k = \mu_k\phi_k with μk>0\mu_k > 0 decreasing to 00; then ϕk=G(ϕk/μk)∈D(−ΔD)\phi_k = G(\phi_k/\mu_k) \in D(-\Delta_D) and −ΔDϕk=μk−1ϕk-\Delta_D\phi_k = \mu_k^{-1}\phi_k.

For a smooth boundary, elliptic regularity identifies the domain: D(−ΔD)=H2(Ω)∩H01(Ω)D(-\Delta_D) = H^2(\Omega)\cap H^1_0(\Omega) (6A.6 Weak Solutions and Elliptic Regularity). But the construction works on any bounded open set, with no regularity of the boundary at all, which is its strength: the boundary condition "u=0u = 0" is encoded in the choice of the form domain H01H^1_0. With the form domain H1(Ω)H^1(\Omega) instead, the same construction gives the Neumann Laplacian, and the condition ∂νu=0\partial_\nu u = 0 appears automatically as the natural boundary condition. On a closed manifold, the form ∫∣∇u∣2\int|\nabla u|^2 on H1(M)H^1(M) gives the Laplace–Beltrami operator, and adding ∫Ru2\int Ru^2 gives Perelman's operator −4Δ+R-4\Delta + R (Exercise 15.14).

Functional calculus. With an orthonormal eigenbasis, any bounded function FF on [0,∞)[0, \infty) defines a bounded operator

F(−ΔD)u=∑kF(λk)⟨u,ϕk⟩ϕk,F(-\Delta_D)u = \sum_kF(\lambda_k)\langle u, \phi_k\rangle\phi_k,

with ∥F(−ΔD)∥=sup⁡k∣F(λk)∣\|F(-\Delta_D)\| = \sup_k|F(\lambda_k)|. The choices F(λ)=e−tλF(\lambda) = e^{-t\lambda}, 1μ+λ\frac{1}{\mu + \lambda}, cos⁡(tλ)\cos(t\sqrt\lambda) and e−itλe^{-it\lambda} give the heat semigroup, the resolvent, the wave propagator and the Schrödinger group, all from one basis. The heat semigroup obtained this way is the one Hille–Yosida produced in 6B.13 Semigroups and Evolution Equations, and its smoothing estimate is 6B.13 Semigroups and Evolution Equations's spectral computation.

The heat kernel of a domain

The heat semigroup is an integral operator, etΔDg(x)=∫Ωpt(x,y)g(y) dye^{t\Delta_D}g(x) = \int_\Omega p_t(x, y)g(y)\,dy, with the Dirichlet heat kernel

pt(x,y)=∑ke−λktϕk(x)ϕk(y).p_t(x, y) = \sum_ke^{-\lambda_kt}\phi_k(x)\phi_k(y).

The series converges absolutely and uniformly on Ω×Ω\Omega\times\Omega for each t>0t > 0: by elliptic regularity and Sobolev embedding the eigenfunctions satisfy sup⁡∣ϕk∣≤Cλkn/4\sup|\phi_k| \leq C\lambda_k^{n/4} on interior regions (Exercise 15.13 gives a global form of this bound once the kernel is known), and Weyl's law (or the cruder bound λk≥ck2/n\lambda_k \geq ck^{2/n} from the heat trace below) makes ∑ke−λktλkn/2\sum_ke^{-\lambda_kt}\lambda_k^{n/2} converge. Physically, pt(x,y)p_t(x, y) is the temperature at xx at time tt after a unit of heat is released at yy at time 00, in a body whose boundary is held at zero; probabilistically, it is the density of Brownian motion (run at rate 22) from yy, killed when it first hits the boundary (6D.1 Brownian Motion).

Proposition 15.2 Properties of the Dirichlet heat kernel

For t>0t > 0 and x,y∈Ωx, y \in \Omega:

  1. pt(x,y)=pt(y,x)p_t(x, y) = p_t(y, x), and ∫Ωpt(x,z)ps(z,y) dz=pt+s(x,y)\int_\Omega p_t(x, z)p_s(z, y)\,dz = p_{t+s}(x, y);
  2. 0≤pt(x,y)≤Φt(x−y)=(4πt)−n/2e−∣x−y∣2/4t0 \leq p_t(x, y) \leq \Phi_t(x - y) = (4\pi t)^{-n/2}e^{-|x-y|^2/4t};
  3. Z(t)=∑ke−λkt=∫Ωpt(x,x) dxZ(t) = \sum_ke^{-\lambda_kt} = \int_\Omega p_t(x, x)\,dx.

Proof. (1) Symmetry is visible in the series; the semigroup law follows from orthonormality, ∫ϕkϕl=δkl\int\phi_k\phi_l = \delta_{kl}.

(2) This is domain monotonicity, a maximum principle statement. Fix a non-negative g∈Cc∞(Ω)g \in C_c^\infty(\Omega) and compare u(x,t)=∫Ωpt(x,y)g(y) dyu(x, t) = \int_\Omega p_t(x, y)g(y)\,dy, the Dirichlet solution, with v(x,t)=∫RnΦt(x−y)g(y) dyv(x, t) = \int_{\mathbb{R}^n}\Phi_t(x - y)g(y)\,dy, the free solution. Both solve the heat equation in Ω\Omega with initial value gg; on ∂Ω\partial\Omega, u=0≤vu = 0 \leq v (since v≥0v \geq 0). By the weak maximum principle (6A.5 Maximum Principles) applied to u−vu - v and to −u-u, 0≤u≤v0 \leq u \leq v in Ω\Omega. Since this holds for every non-negative gg, the kernels satisfy 0≤pt(x,y)≤Φt(x−y)0 \leq p_t(x, y) \leq \Phi_t(x - y) (if the inequality failed at some (x,y)(x, y), it would fail near it by continuity, and a gg concentrated there would contradict the comparison).

(3) pt(x,x)=∑ke−λktϕk(x)2p_t(x, x) = \sum_ke^{-\lambda_kt}\phi_k(x)^2, a series of non-negative continuous functions; integrate term by term (monotone convergence, 3A.3 The Lebesgue Integral) and use ∫ϕk2=1\int\phi_k^2 = 1.

In words: a body with cold walls is everywhere cooler than the same heat in free space, because the walls only remove heat. Part (2) also gives a first bound on the heat trace, with no work: Z(t)=∫pt(x,x)≤∫Φt(0)=∣Ω∣(4πt)n/2Z(t) = \int p_t(x, x) \leq \int\Phi_t(0) = \frac{|\Omega|}{(4\pi t)^{n/2}}.

The heat trace knows the volume

Theorem 15.3 The leading term of the heat trace

For every bounded open Ω⊂Rn\Omega \subset \mathbb{R}^n,

lim⁡t→0(4πt)n/2 Z(t)=∣Ω∣.\lim_{t\to0}(4\pi t)^{n/2}\,Z(t) = |\Omega|.

Proof. The upper bound (4πt)n/2Z(t)≤∣Ω∣(4\pi t)^{n/2}Z(t) \leq |\Omega| was just proved. For the lower bound we show that far from the boundary, compared with t\sqrt t, the Dirichlet kernel on the diagonal is almost the free one. This is Kac's principle of not feeling the boundary.

Comparison near a point. Fix x∈Ωx \in \Omega with d=dist⁡(x,∂Ω)d = \operatorname{dist}(x, \partial\Omega), and consider, as a function of (y,s)(y, s), the difference w(y,s)=Φs(x−y)−ps(x,y)w(y, s) = \Phi_s(x - y) - p_s(x, y) for y∈Ωy \in \Omega, 0<s≤t0 < s \leq t. It solves the heat equation in yy, it is ≥0\geq 0 by part (2), its initial value is 00 (both kernels tend to the point mass at xx; making this precise needs a short approximation argument, testing against smooth functions as in 6A.3 The Heat Equation on ℝⁿ), and on the boundary y∈∂Ωy \in \partial\Omega it equals Φs(x−y)≤(4πs)−n/2e−d2/4s\Phi_s(x - y) \leq (4\pi s)^{-n/2}e^{-d^2/4s}. For s≤t≤d22ns \leq t \leq \frac{d^2}{2n}, the function s↦(4πs)−n/2e−d2/4ss \mapsto (4\pi s)^{-n/2}e^{-d^2/4s} is increasing (its logarithmic derivative is −n2s+d24s2≥0-\frac{n}{2s} + \frac{d^2}{4s^2} \geq 0), so on the boundary w≤(4πt)−n/2e−d2/4tw \leq (4\pi t)^{-n/2}e^{-d^2/4t} for all s≤ts \leq t. By the maximum principle, the same bound holds inside, and at y=xy = x, s=ts = t:

pt(x,x)≥(4πt)−n/2(1−e−d2/4t)whenever d2≥2nt.p_t(x, x) \geq (4\pi t)^{-n/2}\big(1 - e^{-d^2/4t}\big) \qquad\text{whenever } d^2 \geq 2nt.

Integrating. Let δ=t1/4\delta = t^{1/4} and Ωδ={x∈Ω:dist⁡(x,∂Ω)>δ}\Omega_\delta = \{x \in \Omega : \operatorname{dist}(x, \partial\Omega) > \delta\}. For small tt, δ2=t≥2nt\delta^2 = \sqrt t \geq 2nt, so on Ωδ\Omega_\delta the bound applies with e−d2/4t≤e−δ2/4t=e−1/(4t)e^{-d^2/4t} \leq e^{-\delta^2/4t} = e^{-1/(4\sqrt t)}. Hence

(4πt)n/2Z(t)≥(4πt)n/2∫Ωδpt(x,x) dx≥∣Ωδ∣(1−e−1/(4t)).(4\pi t)^{n/2}Z(t) \geq (4\pi t)^{n/2}\int_{\Omega_\delta}p_t(x, x)\,dx \geq |\Omega_\delta|\big(1 - e^{-1/(4\sqrt t)}\big).

As t→0t \to 0, δ→0\delta \to 0, so ∣Ωδ∣→∣Ω∣|\Omega_\delta| \to |\Omega| (monotone convergence, as the Ωδ\Omega_\delta increase to Ω\Omega), and e−1/(4t)→0e^{-1/(4\sqrt t)} \to 0.

The proof is short because the two halves are maximum principles: one says the walls only remove heat, the other says that in a short time heat from a point does not reach walls far away. The scale t\sqrt t is parabolic scaling (6A.1 What a PDE Is): in time tt, heat explores a neighbourhood of radius about t\sqrt t, and the boundary layer where the walls are felt has volume about ∣∂Ω∣t|\partial\Omega|\sqrt t. That suggests the next term.

More terms. For a bounded domain with smooth boundary in the plane, Dirichlet conditions,

Z(t)=∣Ω∣4πt−∣∂Ω∣8πt+16(1−γ)+o(1),Z(t) = \frac{|\Omega|}{4\pi t} - \frac{|\partial\Omega|}{8\sqrt{\pi t}} + \frac16(1 - \gamma) + o(1),

where ∣∂Ω∣|\partial\Omega| is the perimeter and γ\gamma the number of holes (Ake Pleijel, 1954, for the perimeter term; Henry McKean and Isadore Singer, 1967, for the constant). So one can hear the area, the perimeter and the number of holes of a drum. The perimeter term is the boundary layer: near a straight piece of wall, the Dirichlet kernel on the diagonal is Φt(0)(1−e−d2/t)\Phi_t(0)(1 - e^{-d^2/t}) by the method of images (6B.4 Green’s Functions, Separation of Variables and Transforms), and integrating the deficit over the distance dd to the wall gives 14πt∫0∞e−d2/tdd=14πt⋅πt2\frac{1}{4\pi t}\int_0^\infty e^{-d^2/t}dd = \frac{1}{4\pi t}\cdot\frac{\sqrt{\pi t}}{2} per unit length, which is 18πt\frac{1}{8\sqrt{\pi t}} (Exercise 15.11).

On a closed Riemannian manifold MM of dimension nn, the heat trace of the Laplace–Beltrami operator has the Minakshisundaram–Pleijel expansion (1949)

Z(t)∼(4πt)−n/2(vol⁡(M)+t6∫MR dV+O(t2)),Z(t) \sim (4\pi t)^{-n/2}\Big(\operatorname{vol}(M) + \frac t6\int_MR\,dV + O(t^2)\Big),

where RR is the scalar curvature: the spectrum hears the total scalar curvature. The higher coefficients are integrals of polynomials in the curvature and its derivatives. On the unit 22-sphere, with eigenvalues l(l+1)l(l + 1) of multiplicity 2l+12l + 1, area 4π4\pi and R=2R = 2, this predicts Z(t)=1t+13+O(t)Z(t) = \frac1t + \frac13 + O(t), which a direct computation confirms (Exercise 15.10). The expansion is a statement about the small-time behaviour of the heat kernel, pt(x,x)=(4πt)−n/2(1+t6R(x)+O(t2))p_t(x, x) = (4\pi t)^{-n/2}\big(1 + \frac t6R(x) + O(t^2)\big), and its derivation is the subject of 9B.7 The Heat Equation on a Manifold.

From heat traces to Weyl's law

The heat trace is the Laplace transform of the eigenvalue counting function N(λ)=#{k:λk≤λ}N(\lambda) = \#\{k : \lambda_k \leq \lambda\}:

Z(t)=∑ke−λkt=∫0∞e−λt dN(λ).Z(t) = \sum_ke^{-\lambda_kt} = \int_0^\infty e^{-\lambda t}\,dN(\lambda).

Small tt in ZZ corresponds to large λ\lambda in NN. If N(λ)∼Cλn/2N(\lambda) \sim C\lambda^{n/2}, then Z(t)∼C Γ(n2+1)t−n/2Z(t) \sim C\,\Gamma(\frac n2 + 1)t^{-n/2}, an Abelian computation (Exercise 15.12). The converse, from ZZ to NN, is a Tauberian theorem, and it needs a positivity hypothesis, which NN, being non-decreasing, satisfies.

Theorem 15.4 Karamata's Tauberian theorem (statement)

Let NN be non-decreasing on [0,∞)[0, \infty) with N(0)=0N(0) = 0, and suppose ∫0∞e−λtdN(λ)∼At−γ\int_0^\infty e^{-\lambda t}dN(\lambda) \sim At^{-\gamma} as t→0t \to 0, with A,γ>0A, \gamma > 0. Then N(λ)∼AΓ(γ+1)λγN(\lambda) \sim \frac{A}{\Gamma(\gamma + 1)}\lambda^\gamma as λ→∞\lambda \to \infty.

Jovan Karamata gave a short proof in 1931, by approximating the indicator function of [0,1][0, 1] from above and below by polynomials in e−xe^{-x} (Weierstrass approximation, 2B.5 Uniform Convergence and Arzelà–Ascoli); Feller's An Introduction to Probability Theory and Its Applications, volume 2, chapter XIII, and Taylor II, §8.3, give it. Combining it with Theorem 15.3 (A=(4π)−n/2∣Ω∣A = (4\pi)^{-n/2}|\Omega|, γ=n2\gamma = \frac n2):

Corollary 15.5 Weyl's law

For every bounded open Ω⊂Rn\Omega \subset \mathbb{R}^n, the Dirichlet eigenvalues satisfy

N(λ)∼ωn∣Ω∣(2π)nλn/2,equivalentlyλk∼4π2(kωn∣Ω∣)2/n,N(\lambda) \sim \frac{\omega_n|\Omega|}{(2\pi)^n}\lambda^{n/2}, \qquad\text{equivalently}\qquad \lambda_k \sim 4\pi^2\Big(\frac{k}{\omega_n|\Omega|}\Big)^{2/n},

where ωn=πn/2Γ(n2+1)\omega_n = \frac{\pi^{n/2}}{\Gamma(\frac n2 + 1)} is the volume of the unit ball.

Proof. Karamata gives N(λ)∼(4π)−n/2∣Ω∣Γ(n2+1)λn/2N(\lambda) \sim \frac{(4\pi)^{-n/2}|\Omega|}{\Gamma(\frac n2 + 1)}\lambda^{n/2}, and (4π)−n/2Γ(n2+1)=πn/2(2π)nΓ(n2+1)=ωn(2π)n\frac{(4\pi)^{-n/2}}{\Gamma(\frac n2 + 1)} = \frac{\pi^{n/2}}{(2\pi)^n\Gamma(\frac n2 + 1)} = \frac{\omega_n}{(2\pi)^n}. Inverting N(λk)≈kN(\lambda_k) \approx k gives the second form.

In the plane, N(λ)∼∣Ω∣4πλN(\lambda) \sim \frac{|\Omega|}{4\pi}\lambda, the formula of 4A.8 Compact Operators and Spectra's exercise on the square, now for every bounded domain. The constant has a semiclassical meaning: ωn∣Ω∣λn/2(2π)n\frac{\omega_n|\Omega|\lambda^{n/2}}{(2\pi)^n} is the volume of the region {(x,ξ):x∈Ω, ∣ξ∣2≤λ}\{(x, \xi) : x \in \Omega,\ |\xi|^2 \leq \lambda\} of phase space divided by (2π)n(2\pi)^n, "one quantum state per cell of volume (2π)n(2\pi)^n", which is how physicists derive it.

Where this goes Spectral geometry in the rest of the guide

On a closed manifold the heat trace expansion is derived in 9B.7 The Heat Equation on a Manifold, with the scalar curvature in the second term; the heat kernel and its small-time asymptotics are the analytic background of Perelman's reduced volume and entropy, whose Gaussian weights are heat kernels (12A.3 The 𝓦-Entropy, 12A.5 Reduced Distance and Reduced Volume). The lowest eigenvalue of −4Δ+R-4\Delta + R is Perelman's λ(g)\lambda(g) (12A.2 Ricci Flow as a Gradient Flow), a Rayleigh quotient whose monotonicity under the Ricci flow rules out steady breathers, and the Friedrichs construction of this chapter is what makes it an eigenvalue of a self-adjoint operator. The question of which geometric quantities the spectrum determines (volume, total scalar curvature, and in special cases much more, but not always the metric) continues in Taylor II, §8.3, and in the inverse spectral problems that grew from Kac's drum.

History

Hendrik Lorentz posed the eigenvalue counting problem in 1910, and Hermann Weyl solved it in 1911–12. Richard Courant proved his min–max principle around 1920 and used Dirichlet–Neumann bracketing to give a second proof of Weyl's law. Kurt Friedrichs constructed his extension in 1934. Torsten Carleman (1934) introduced the heat-trace (Laplace transform) approach to eigenvalue asymptotics, and Jovan Karamata's Tauberian theorem dates from 1931. Subbaramiah Minakshisundaram and Åke Pleijel found the heat expansion on manifolds in 1949, Pleijel the perimeter term for planar domains in 1954, Mark Kac posed "Can one hear the shape of a drum?" in 1966, and McKean and Singer computed the constant term and the curvature terms in 1967.

Recall Where we stand

Unbounded operators need domains; self-adjointness (A=A∗A = A^* with equal domains) is what the spectral theorem needs, and boundary conditions are part of the operator. The Friedrichs construction makes the Dirichlet Laplacian self-adjoint on any bounded open set, from the form ∫∣∇u∣2\int|\nabla u|^2 on H01H^1_0, with compact inverse and an eigenbasis; functional calculus then defines the heat, wave and Schrödinger evolutions. The Dirichlet heat kernel ∑e−λktϕk(x)ϕk(y)\sum e^{-\lambda_kt}\phi_k(x)\phi_k(y) is positive, symmetric, bounded by the free Gaussian, and its diagonal integrates to the heat trace Z(t)=∑e−λktZ(t) = \sum e^{-\lambda_kt}. Kac's principle, two maximum-principle comparisons, gives Z(t)∼∣Ω∣(4πt)−n/2Z(t) \sim |\Omega|(4\pi t)^{-n/2}; Karamata's Tauberian theorem turns this into Weyl's law N(λ)∼ωn∣Ω∣(2π)nλn/2N(\lambda) \sim \frac{\omega_n|\Omega|}{(2\pi)^n}\lambda^{n/2}. Further terms hear the perimeter and the number of holes of a planar domain, and, on a manifold, the total scalar curvature. 6B.16 Eigenvalue Problems and Perelman’s λ studies the eigenvalues one at a time, above all the first, whose positive ground state is the analytic heart of Perelman's λ\lambda.

Exercises

Exercise 15.6 Counting modes in a box

For the cube (0,L)3(0, L)^3 with Dirichlet conditions, the eigenfunctions are sin⁡k1πxLsin⁡k2πyLsin⁡k3πzL\sin\frac{k_1\pi x}{L}\sin\frac{k_2\pi y}{L}\sin\frac{k_3\pi z}{L} with ki≥1k_i \geq 1, and eigenvalues π2L2∣k∣2\frac{\pi^2}{L^2}|k|^2. (a) Show that N(λ)N(\lambda) is the number of lattice points with positive coordinates in the ball of radius Lλπ\frac{L\sqrt\lambda}{\pi}, approximately 18⋅43π(Lλπ)3=L3λ3/26π2\frac18\cdot\frac43\pi\big(\frac{L\sqrt\lambda}{\pi}\big)^3 = \frac{L^3\lambda^{3/2}}{6\pi^2}. (b) Check this against Weyl's law. (c) For electromagnetic waves, λ=(2πν/c)2\lambda = (2\pi\nu/c)^2 and there are two polarisations: show that the number of modes below frequency ν\nu is about 8πVν33c3\frac{8\pi V\nu^3}{3c^3}, the Rayleigh–Jeans count.

Solution

(a) π2L2∣k∣2≤λ\frac{\pi^2}{L^2}|k|^2 \leq \lambda iff ∣k∣≤Lλπ|k| \leq \frac{L\sqrt\lambda}{\pi}; the positive octant of the ball has volume π6(Lλπ)3=L3λ3/26π2\frac{\pi}{6}\big(\frac{L\sqrt\lambda}{\pi}\big)^3 = \frac{L^3\lambda^{3/2}}{6\pi^2}, and the lattice count differs by a boundary term of lower order. (b) Weyl: ω3L3(2π)3λ3/2=4π/38π3L3λ3/2=L3λ3/26π2\frac{\omega_3L^3}{(2\pi)^3}\lambda^{3/2} = \frac{4\pi/3}{8\pi^3}L^3\lambda^{3/2} = \frac{L^3\lambda^{3/2}}{6\pi^2}. (c) 2⋅V6π2(2πνc)3=2V⋅8π3ν36π2c3=8πVν33c32\cdot\frac{V}{6\pi^2}\big(\frac{2\pi\nu}{c}\big)^3 = \frac{2V\cdot8\pi^3\nu^3}{6\pi^2c^3} = \frac{8\pi V\nu^3}{3c^3}.

Exercise 15.7 Different boundary conditions, different spectra

On L2(0,π)L^2(0, \pi), find the eigenvalues of −d2dx2-\frac{d^2}{dx^2} with (a) Dirichlet, (b) Neumann, (c) periodic boundary conditions. Show that in each case the operator is symmetric, by integrating by parts, and that the boundary terms vanish exactly because of the boundary condition.

Solution

(a) k2k^2, k≥1k \geq 1 (sin⁡kx\sin kx). (b) k2k^2, k≥0k \geq 0 (cos⁡kx\cos kx; the constant has eigenvalue 00). (c) 4k24k^2, k≥0k \geq 0, with multiplicity 22 for k≥1k \geq 1 (cos⁡2kx\cos2kx, sin⁡2kx\sin2kx). Integrating by parts, ∫0π(−u′′)v−u(−v′′)=[−u′v+uv′]0π\int_0^\pi(-u'')v - u(-v'') = [-u'v + uv']_0^\pi, which vanishes under each of the three conditions (for periodic, the values at 00 and π\pi cancel).

Exercise 15.8 The interval, exactly

For (0,π)(0, \pi) with Dirichlet conditions, Z(t)=∑k≥1e−k2tZ(t) = \sum_{k\geq1}e^{-k^2t}. Use the Poisson summation formula (4A.6 The Fourier Transform), ∑k∈Ze−k2t=πt∑m∈Ze−π2m2/t\sum_{k\in\mathbb{Z}}e^{-k^2t} = \sqrt{\frac\pi t}\sum_{m\in\mathbb{Z}}e^{-\pi^2m^2/t}, to show Z(t)=12πt−12+O(e−π2/t)Z(t) = \frac12\sqrt{\frac\pi t} - \frac12 + O(e^{-\pi^2/t}). Interpret the two terms as the length π\pi (volume term π4πt\frac{\pi}{\sqrt{4\pi t}}) and the two endpoints (each contributing −14-\frac14).

Solution

∑k∈Ze−k2t=1+2Z(t)\sum_{k\in\mathbb{Z}}e^{-k^2t} = 1 + 2Z(t), and the right side is π/t(1+O(e−π2/t))\sqrt{\pi/t}(1 + O(e^{-\pi^2/t})). So Z=12π/t−12+O(t−1/2e−π2/t)Z = \frac12\sqrt{\pi/t} - \frac12 + O(t^{-1/2}e^{-\pi^2/t}). The volume term is ∣Ω∣(4πt)1/2=π2πt=12πt\frac{|\Omega|}{(4\pi t)^{1/2}} = \frac{\pi}{2\sqrt{\pi t}} = \frac12\sqrt{\frac\pi t}, and the boundary term in dimension 11 is −14-\frac14 per boundary point (the analogue of −∣∂Ω∣4(4πt)−(n−1)/2-\frac{|\partial\Omega|}{4}(4\pi t)^{-(n-1)/2}).

Exercise 15.9 The torus

On the flat torus Rn/Zn\mathbb{R}^n/\mathbb{Z}^n, the eigenvalues are 4π2∣k∣24\pi^2|k|^2 for k∈Znk \in \mathbb{Z}^n. Use Poisson summation to show Z(t)=(4πt)−n/2∑m∈Zne−∣m∣2/4tZ(t) = (4\pi t)^{-n/2}\sum_{m\in\mathbb{Z}^n}e^{-|m|^2/4t}, so Z(t)=(4πt)−n/2(1+O(e−1/4t))Z(t) = (4\pi t)^{-n/2}(1 + O(e^{-1/4t})). Interpret the terms with m≠0m \neq 0 as heat that travels around the torus and returns: closed geodesics of length ∣m∣|m|.

Solution

In one dimension, Poisson summation for f(x)=e−4π2x2tf(x) = e^{-4\pi^2x^2t} gives ∑ke−4π2k2t=∑mf^(m)=∑m14πte−m2/4t\sum_ke^{-4\pi^2k^2t} = \sum_m\hat f(m) = \sum_m\frac{1}{\sqrt{4\pi t}}e^{-m^2/4t} (4A.6 The Fourier Transform, the Gaussian with a=4πta = 4\pi t); in nn dimensions the sum factorises. The volume is 11, so the leading term is (4πt)−n/2(4\pi t)^{-n/2}, and the corrections e−∣m∣2/4te^{-|m|^2/4t} are the heat kernel evaluated at the translates mm of the origin, the paths that wind around the torus.

Exercise 15.10 The sphere hears its curvature

On the unit 22-sphere the eigenvalues of −Δ-\Delta are l(l+1)l(l + 1) with multiplicity 2l+12l + 1, l≥0l \geq 0. (a) Show that Z(t)=∑l≥0(2l+1)e−l(l+1)t=et/4∑l≥0(2l+1)e−(l+12)2tZ(t) = \sum_{l\geq0}(2l + 1)e^{-l(l+1)t} = e^{t/4}\sum_{l\geq0}(2l + 1)e^{-(l + \frac12)^2t}. (b) The Euler–Maclaurin formula for the midpoint rule gives, for a smooth function gg decaying with its derivatives at infinity, ∑l≥0g(l+12)=∫0∞g dx+124g′(0)+…\sum_{l\geq0}g(l + \frac12) = \int_0^\infty g\,dx + \frac{1}{24}g'(0) + \ldots. Apply it to g(x)=2xe−x2tg(x) = 2xe^{-x^2t} to show ∑l≥0(2l+1)e−(l+12)2t=1t+112+O(t)\sum_{l\geq0}(2l + 1)e^{-(l+\frac12)^2t} = \frac1t + \frac{1}{12} + O(t). (c) Deduce Z(t)=1t+13+O(t)Z(t) = \frac1t + \frac13 + O(t), and check it against the Minakshisundaram–Pleijel prediction 14πt(4π+t6∫R dV)\frac{1}{4\pi t}\big(4\pi + \frac t6\int R\,dV\big) with R=2R = 2. (A numerical check gives Z(0.01)≈100.33400Z(0.01) \approx 100.33400, against 10.01+13=100.33333\frac{1}{0.01} + \frac13 = 100.33333; the difference is about t15\frac{t}{15}, the next term.)

Solution

(a) l(l+1)=(l+12)2−14l(l + 1) = (l + \frac12)^2 - \frac14, and 2l+1=2(l+12)2l + 1 = 2(l + \frac12). (b) ∫0∞2xe−x2tdx=1t\int_0^\infty2xe^{-x^2t}dx = \frac1t and g′(0)=2g'(0) = 2, so the sum is 1t+224+O(t)=1t+112+O(t)\frac1t + \frac{2}{24} + O(t) = \frac1t + \frac{1}{12} + O(t) (the next Euler–Maclaurin term involves g′′′(0)g'''(0), which is of order tt). (c) et/4(1t+112)=1t+14+112+O(t)=1t+13+O(t)e^{t/4}\big(\frac1t + \frac{1}{12}\big) = \frac1t + \frac14 + \frac{1}{12} + O(t) = \frac1t + \frac13 + O(t). The prediction: 14πt(4π+t6⋅2⋅4π)=1t+13\frac{1}{4\pi t}\big(4\pi + \frac t6\cdot2\cdot4\pi\big) = \frac1t + \frac13.

Exercise 15.11 The perimeter term from images

For the half-plane {x2>0}\{x_2 > 0\}, the Dirichlet heat kernel is pt(x,y)=Φt(x−y)−Φt(x−y~)p_t(x, y) = \Phi_t(x - y) - \Phi_t(x - \tilde y), with y~\tilde y the reflection (6B.4 Green’s Functions, Separation of Variables and Transforms). (a) Show pt(x,x)=14πt(1−e−x22/t)p_t(x, x) = \frac{1}{4\pi t}(1 - e^{-x_2^2/t}). (b) Compute the deficit ∫0∞14πte−d2/t dd\int_0^\infty\frac{1}{4\pi t}e^{-d^2/t}\,dd per unit length of boundary, and show it is 18πt\frac{1}{8\sqrt{\pi t}}. This is the perimeter term of the planar heat trace.

Solution

(a) ∣x−x~∣=2x2|x - \tilde x| = 2x_2, so Φt(x−x~)=14πte−4x22/4t\Phi_t(x - \tilde x) = \frac{1}{4\pi t}e^{-4x_2^2/4t}. (b) ∫0∞e−d2/tdd=πt2\int_0^\infty e^{-d^2/t}dd = \frac{\sqrt{\pi t}}{2}, so the deficit is 14πt⋅πt2=18πt\frac{1}{4\pi t}\cdot\frac{\sqrt{\pi t}}{2} = \frac{1}{8\sqrt{\pi t}}.

Exercise 15.12 The Abelian direction

Show that if N(λ)=CλγN(\lambda) = C\lambda^\gamma exactly, then ∫0∞e−λtdN(λ)=CΓ(γ+1)t−γ\int_0^\infty e^{-\lambda t}dN(\lambda) = C\Gamma(\gamma + 1)t^{-\gamma}. (Substitute s=λts = \lambda t.)

Solution

dN=Cγλγ−1dλdN = C\gamma\lambda^{\gamma-1}d\lambda, so the integral is Cγ∫0∞e−λtλγ−1dλ=Cγt−γΓ(γ)=CΓ(γ+1)t−γC\gamma\int_0^\infty e^{-\lambda t}\lambda^{\gamma-1}d\lambda = C\gamma t^{-\gamma}\Gamma(\gamma) = C\Gamma(\gamma + 1)t^{-\gamma}.

Exercise 15.13 A crude sup bound for eigenfunctions

From pt(x,x)=∑je−λjtϕj(x)2≥e−λktϕk(x)2p_t(x, x) = \sum_je^{-\lambda_jt}\phi_j(x)^2 \geq e^{-\lambda_kt}\phi_k(x)^2 and pt(x,x)≤(4πt)−n/2p_t(x, x) \leq (4\pi t)^{-n/2}, deduce ∣ϕk(x)∣2≤eλkt(4πt)−n/2|\phi_k(x)|^2 \leq e^{\lambda_kt}(4\pi t)^{-n/2} for every t>0t > 0, and choose t=1λkt = \frac{1}{\lambda_k} to get sup⁡∣ϕk∣≤Cnλkn/4\sup|\phi_k| \leq C_n\lambda_k^{n/4}.

Solution

Every term of the series for pt(x,x)p_t(x, x) is non-negative, so it dominates the kk-th one. With t=1/λkt = 1/\lambda_k: ϕk(x)2≤e (4π)−n/2λkn/2\phi_k(x)^2 \leq e\,(4\pi)^{-n/2}\lambda_k^{n/2}.

Exercise 15.14 Rehearsal: Perelman's operator by the Friedrichs construction

On a closed Riemannian manifold MM with scalar curvature RR, consider the form Q(w,w)=∫M(4∣∇w∣2+Rw2) dVQ(w, w) = \int_M\big(4|\nabla w|^2 + Rw^2\big)\,dV on H1(M)H^1(M). (a) Show that Q(w,w)+c∥w∥L22≥min⁡(4,1)∥w∥H12Q(w, w) + c\|w\|_{L^2}^2 \geq \min(4, 1)\|w\|_{H^1}^2 when c≥1−min⁡Rc \geq 1 - \min R, so the Friedrichs construction applies to Q+cQ + c and produces a self-adjoint operator −4Δ+R-4\Delta + R with compact resolvent. (b) Deduce that its lowest eigenvalue is λ(g)=min⁡{Q(w,w):∥w∥L2=1}\lambda(g) = \min\{Q(w, w) : \|w\|_{L^2} = 1\}, attained at a positive eigenfunction (the positivity as in 6A.6 Weak Solutions and Elliptic Regularity). (c) Writing w=e−f/2w = e^{-f/2}, recognise Q(w,w)Q(w, w) as Perelman's F(g,f)\mathcal F(g, f) (4A.10 Sobolev Spaces's rehearsal). This is exactly the definition of λ(g)\lambda(g) in 12A.2 Ricci Flow as a Gradient Flow.

Solution

(a) Q(w,w)+c∫w2=4∫∣∇w∣2+∫(R+c)w2≥4∫∣∇w∣2+∫w2Q(w, w) + c\int w^2 = 4\int|\nabla w|^2 + \int(R + c)w^2 \geq 4\int|\nabla w|^2 + \int w^2 when R+c≥1R + c \geq 1. The form is then coercive on H1H^1, and the proof of Theorem 15.1 applies verbatim with H1(M)H^1(M) in place of H01H^1_0; H1(M)↪L2(M)H^1(M) \hookrightarrow L^2(M) is compact on a closed manifold (Rellich, 4A.11 Sobolev Embeddings and Critical Exponents). (b) As in 6A.6 Weak Solutions and Elliptic Regularity, the lowest eigenvalue is the minimum of the Rayleigh quotient, and replacing ww by ∣w∣|w| does not change QQ, so a minimiser can be taken non-negative and then, by the strong maximum principle, positive. (c) ∣∇w∣2=14∣∇f∣2e−f|\nabla w|^2 = \frac14|\nabla f|^2e^{-f} and w2=e−fw^2 = e^{-f}, so Q(w,w)=∫(R+∣∇f∣2)e−fdV=F(g,f)Q(w, w) = \int(R + |\nabla f|^2)e^{-f}dV = \mathcal F(g, f), and the constraint ∫w2=1\int w^2 = 1 is ∫e−fdV=1\int e^{-f}dV = 1.

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