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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.
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.
4A.8 Compact Operators and Spectra proved that the Dirichlet Laplacian on a bounded domain has an orthonormal basis of eigenfunctions, with eigenvalues , 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
the trace of the heat semigroup . On one hand it is built from the eigenvalues alone. On the other, it is the integral of the heat kernel on the diagonal, , and for small heat has had no time to feel the boundary or the curvature, so is almost the Euclidean value . Hence : the eigenvalues determine the volume. Corrections, as grows, see the boundary (its length or area) and, on a curved manifold, the scalar curvature. A Tauberian theorem converts the small- behaviour of into the large- 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 , and it is the route by which every elliptic operator in this guide, including the operator whose lowest eigenvalue is Perelman's -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 , 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 ;
- prove as , 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
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 is about , proportional to the volume 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 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 , and on the functions where it is defined it is not bounded (). Spectral theory for such operators needs care about domains.
An unbounded operator on a Hilbert space is a linear map from a subspace , its domain. It is densely defined if is dense, and symmetric if for all . Its adjoint has domain
and is the vector representing that functional (Riesz, 4A.5 Hilbert Spaces and Lax–Milgram). is self-adjoint if , including equality of domains. Symmetric means ; self-adjoint means no room is left between them.
The distinction is not pedantic. On , the operator on is symmetric, but its adjoint acts on all of with no boundary conditions, and it has many self-adjoint extensions: Dirichlet ( at both ends), Neumann (), 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 a unitary evolution (quantum mechanics) or a well-defined heat flow.
The Friedrichs construction. Quadratic forms give self-adjoint operators automatically. Let be bounded and open, and on consider the form .
Define with domain
Then is self-adjoint and non-negative, its inverse is a compact self-adjoint operator on , and there is an orthonormal basis of of eigenfunctions with , .
Proof. The inverse. For , Lax–Milgram gives a unique with for all (the form is coercive by Poincaré, 4A.10 Sobolev Spaces); call it . By definition and , and conversely every equals (uniqueness in Lax–Milgram). So is a bijection from its domain onto , with inverse . is bounded, self-adjoint (, by symmetry of ), positive, and compact (it maps boundedly into , which embeds compactly into by Rellich): 4A.8 Compact Operators and Spectra.
Self-adjointness. is symmetric: . If with , then for all , , so . Hence , and with symmetry the two operators are equal.
Eigenfunctions. The spectral theorem for the compact self-adjoint operator (4A.8 Compact Operators and Spectra) gives an orthonormal basis of eigenvectors with decreasing to ; then and .
For a smooth boundary, elliptic regularity identifies the domain: (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 "" is encoded in the choice of the form domain . With the form domain instead, the same construction gives the Neumann Laplacian, and the condition appears automatically as the natural boundary condition. On a closed manifold, the form on gives the Laplace–Beltrami operator, and adding gives Perelman's operator (Exercise 15.14).
Functional calculus. With an orthonormal eigenbasis, any bounded function on defines a bounded operator
with . The choices , , and 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, , with the Dirichlet heat kernel
The series converges absolutely and uniformly on for each : by elliptic regularity and Sobolev embedding the eigenfunctions satisfy 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 from the heat trace below) makes converge. Physically, is the temperature at at time after a unit of heat is released at at time , in a body whose boundary is held at zero; probabilistically, it is the density of Brownian motion (run at rate ) from , killed when it first hits the boundary (6D.1 Brownian Motion).
For and :
- , and ;
- ;
- .
Proof. (1) Symmetry is visible in the series; the semigroup law follows from orthonormality, .
(2) This is domain monotonicity, a maximum principle statement. Fix a non-negative and compare , the Dirichlet solution, with , the free solution. Both solve the heat equation in with initial value ; on , (since ). By the weak maximum principle (6A.5 Maximum Principles) applied to and to , in . Since this holds for every non-negative , the kernels satisfy (if the inequality failed at some , it would fail near it by continuity, and a concentrated there would contradict the comparison).
(3) , a series of non-negative continuous functions; integrate term by term (monotone convergence, 3A.3 The Lebesgue Integral) and use .
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: .
The heat trace knows the volume
For every bounded open ,
Proof. The upper bound was just proved. For the lower bound we show that far from the boundary, compared with , 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 with , and consider, as a function of , the difference for , . It solves the heat equation in , it is by part (2), its initial value is (both kernels tend to the point mass at ; 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 it equals . For , the function is increasing (its logarithmic derivative is ), so on the boundary for all . By the maximum principle, the same bound holds inside, and at , :
Integrating. Let and . For small , , so on the bound applies with . Hence
As , , so (monotone convergence, as the increase to ), and .
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 is parabolic scaling (6A.1 What a PDE Is): in time , heat explores a neighbourhood of radius about , and the boundary layer where the walls are felt has volume about . That suggests the next term.
More terms. For a bounded domain with smooth boundary in the plane, Dirichlet conditions,
where is the perimeter and 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 by the method of images (6B.4 Green’s Functions, Separation of Variables and Transforms), and integrating the deficit over the distance to the wall gives per unit length, which is (Exercise 15.11).
On a closed Riemannian manifold of dimension , the heat trace of the Laplace–Beltrami operator has the Minakshisundaram–Pleijel expansion (1949)
where 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 -sphere, with eigenvalues of multiplicity , area and , this predicts , which a direct computation confirms (Exercise 15.10). The expansion is a statement about the small-time behaviour of the heat kernel, , 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 :
Small in corresponds to large in . If , then , an Abelian computation (Exercise 15.12). The converse, from to , is a Tauberian theorem, and it needs a positivity hypothesis, which , being non-decreasing, satisfies.
Let be non-decreasing on with , and suppose as , with . Then as .
Jovan Karamata gave a short proof in 1931, by approximating the indicator function of from above and below by polynomials in (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 (, ):
For every bounded open , the Dirichlet eigenvalues satisfy
where is the volume of the unit ball.
Proof. Karamata gives , and . Inverting gives the second form.
In the plane, , 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: is the volume of the region of phase space divided by , "one quantum state per cell of volume ", which is how physicists derive it.
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 is Perelman's (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.
Unbounded operators need domains; self-adjointness ( 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 on , with compact inverse and an eigenbasis; functional calculus then defines the heat, wave and Schrödinger evolutions. The Dirichlet heat kernel is positive, symmetric, bounded by the free Gaussian, and its diagonal integrates to the heat trace . Kac's principle, two maximum-principle comparisons, gives ; Karamata's Tauberian theorem turns this into Weyl's law . 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 .
Exercises
For the cube with Dirichlet conditions, the eigenfunctions are with , and eigenvalues . (a) Show that is the number of lattice points with positive coordinates in the ball of radius , approximately . (b) Check this against Weyl's law. (c) For electromagnetic waves, and there are two polarisations: show that the number of modes below frequency is about , the Rayleigh–Jeans count.
Solution
(a) iff ; the positive octant of the ball has volume , and the lattice count differs by a boundary term of lower order. (b) Weyl: . (c) .
On , find the eigenvalues of 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) , (). (b) , (; the constant has eigenvalue ). (c) , , with multiplicity for (, ). Integrating by parts, , which vanishes under each of the three conditions (for periodic, the values at and cancel).
For with Dirichlet conditions, . Use the Poisson summation formula (4A.6 The Fourier Transform), , to show . Interpret the two terms as the length (volume term ) and the two endpoints (each contributing ).
Solution
, and the right side is . So . The volume term is , and the boundary term in dimension is per boundary point (the analogue of ).
On the flat torus , the eigenvalues are for . Use Poisson summation to show , so . Interpret the terms with as heat that travels around the torus and returns: closed geodesics of length .
Solution
In one dimension, Poisson summation for gives (4A.6 The Fourier Transform, the Gaussian with ); in dimensions the sum factorises. The volume is , so the leading term is , and the corrections are the heat kernel evaluated at the translates of the origin, the paths that wind around the torus.
On the unit -sphere the eigenvalues of are with multiplicity , . (a) Show that . (b) The Euler–Maclaurin formula for the midpoint rule gives, for a smooth function decaying with its derivatives at infinity, . Apply it to to show . (c) Deduce , and check it against the Minakshisundaram–Pleijel prediction with . (A numerical check gives , against ; the difference is about , the next term.)
Solution
(a) , and . (b) and , so the sum is (the next Euler–Maclaurin term involves , which is of order ). (c) . The prediction: .
For the half-plane , the Dirichlet heat kernel is , with the reflection (6B.4 Green’s Functions, Separation of Variables and Transforms). (a) Show . (b) Compute the deficit per unit length of boundary, and show it is . This is the perimeter term of the planar heat trace.
Solution
(a) , so . (b) , so the deficit is .
Show that if exactly, then . (Substitute .)
Solution
, so the integral is .
From and , deduce for every , and choose to get .
Solution
Every term of the series for is non-negative, so it dominates the -th one. With : .
On a closed Riemannian manifold with scalar curvature , consider the form on . (a) Show that when , so the Friedrichs construction applies to and produces a self-adjoint operator with compact resolvent. (b) Deduce that its lowest eigenvalue is , attained at a positive eigenfunction (the positivity as in 6A.6 Weak Solutions and Elliptic Regularity). (c) Writing , recognise as Perelman's (4A.10 Sobolev Spaces's rehearsal). This is exactly the definition of in 12A.2 Ricci Flow as a Gradient Flow.
Solution
(a) when . The form is then coercive on , and the proof of Theorem 15.1 applies verbatim with in place of ; 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 by does not change , so a minimiser can be taken non-negative and then, by the strong maximum principle, positive. (c) and , so , and the constraint is .
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