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Zeta function regularization, heat kernels, and one-loop determinants

In the path integral formulation of quantum field theory, a free theory is one whose Euclidean action can be expressed as
S[ϕ]=12MϵϕLϕ,
where ϕ is some tensor field and L is a self-adjoint differential operator whose spectrum is bounded below. For example, if we make ϕ a real scalar field and L the differential operator
L=m22,
then S[ϕ] is the action of a free scalar with mass m. It is useful to have general techniques for studying the path integrals of free field theories, not only because free theories serve as an important testing ground for interesting physical ideas, but also because in the semiclassical limit, any quantum field theory can be approximated as free. In particular, if we consider some Euclidean quantum field theory defined by the path integral
Dϕe1S[ϕ],
then in the limit 0 the path integral can be approximated as a sum over stationary points of the action — these are the classical configurations of the theory — together with a perturbative-in- series of quantum corrections, the path integral of fluctuations about the classical configurations. The first nontrivial term in this expansion will be quadratic in the field perturbations, since the linear term must vanish due to the assumption that the action is stationary. By applying integration by parts with appropriate boundary conditions, a quadratic functional of the fields can always be put in the form (1), with ϕ replaced by a linearized perturbation δϕ.

This note explains the notion of a one-loop determinant, which is a way of thinking of the path integral of a free theory as computing the (renormalized) determinant of a differential operator. It discusses how to renormalize this determinant using zeta function regularization, and how to compute that regularized determinant in the abstract using a heat kernel.

In section 1, I show how the path integral of a free theory can be interpreted as computing the determinant of a differential operator, which explains the terminology "one-loop determinant." (The term "one-loop" comes from the fact that in the semiclassical limit, the "free theory approximation" shows up at the first nontrivial order in .)

In section 2, I introduce zeta function regularization and show how it is related to the heat kernel K(t) of L.

In section 3, I use zeta function regularization to compute the partition function of the quantum mechanical harmonic oscillator.

In section 4, I give some mathematical comments about the asymptotics of the heat kernel, and explain what I think are the failings of the (sort-of-incorrect) formula that is usually written down,
Z=exp[120dt1tK(t)].
I also comment briefly on the "physicalness" of zeta function regularization by relating it to other regularization techniques, and refer to a blog post of Terry Tao for further information.

I learned this material from slightly unconventional sources. I learned about zeta function regularization and heat kernels from Stephen Hawking's essay in this "Einstein centenary" collection. I think I learned how to apply zeta function regularization to the harmonic oscillator from this paper, but I'm not sure; I learned this material >2 years ago and am adapting this post from notes I took at the time. While fixing some details in this post I read Hawking's original paper on the subject, which is fantastic. I found section 2 of this paper helpful for understanding how to think about Hawking's infamous number μ that appears in the path integral measure. I also highly recommend Mark Kac's delightful paper "Can one hear the shape of a drum?", which gives a great, intuitive explanation of the asymptotic properties of the heat kernel.

Prerequisites: Path integral formulation of quantum field theory. The discussion of asymptotic properties of the heat kernel in section 4 uses abstract index notation, and requires knowing enough differential geometry to understand covariant derivatives. You don't need to know differential forms to understand this post, but I'll always write Mϵ instead of ddxg.

Table of Contents

  1. Path integrals and determinants
  2. Zeta function regularization
  3. The harmonic oscillator partition function
  4. Some mathematical comments
    1. Asymptotics of the heat kernel
    2. Smoothed sums

1. Path integrals and determinants

Suppose we have a Euclidean field theory defined by the action S[ϕ] on the manifold M with metric gab. For simplicity, we'll assume the fields are real, but there's no major conceptual difference in working with theories of complex fields. The action is assumed to be free, meaning it can be written in the form
S[ϕ]=12MϵϕLϕ
for some self-adjoint differential operator L whose spectrum is bounded below. We want to evaluate the partition function of the theory, which is the path integral
Z=DϕeS[ϕ].
The trick will be to use the fact that L is self-adjoint to find an orthonormal eigenbasis of field configurations, i.e., a set of field configurations {ϕn} satisfying
Lϕn=λnϕn
and
Mϵϕnϕm=δnm.
If we expand a generic field configuration as
ϕ=ncnϕn,
then it seems natural to think of the path integral measure Dϕ as being expressible as
Dϕ=ndcn.
In fact, there are times when interpreting the path integral measure this way gives inconsistent physical answers. Many of these are ameliorated by instead writing
Dϕ=n12πμdcn,
with μ an as-yet unspecified constant, and fixing μ at the end of the calculation by imposing an appropriate consistency condition. I don't think it should be so surprising that such a modification is occasionally necessary. There's no real reason to think the path integral measure, this unwieldy behemoth that we don't understand on rigorous footing, should be so simple as Dϕ=ndcn. We should allow ourselves some freedom in that identification; adding a constant μ to each mode integral is a simple way to do that which is "ultralocal" in frequency space, and it turns out to be enough in many cases to get useful and interesting physical answers. 

If we expand the action in terms of the eigenbasis {ϕn}, we find
S[ϕ]=12m,ncmcnλnMϵϕmϕn=12nλnc2n.
The path integral
DϕeS[ϕ]
then turns into a product of Gaussian integrals for all nonzero eigenvalues, plus some overall prefactor corresponding to the zero eigenvalues. We have
DϕeS[ϕ]=(12πμ)# zero modesVol(zero modes)n12πμdcne12λnc2n.
Here Vol(zero modes) means the volume of the domains of the coefficients of the "zero modes," i.e., the eigenfunctions ϕn with eigenvalue zero. There may be no such eigenfunctions, in which case this factor is set to 1. There may be zero modes whose coefficients take arbitrary values, in which case the corresponding prefactor is thought of as an unphysical divergence that should be renormalized away. In some cases, though, the prefactor Vol(zero modes) is a finite quantity that depends on the geometry of spacetime in a nontrivial way; in these cases, the zero-mode prefactor makes an essential contribution to the path integral. We won't see an example of that in this post, but maybe in a future one; these zero modes play an essential role, for example, in establishing higher-genus modular invariance of the two-dimensional compact boson CFT.

By the way, generally speaking the prefactor 2πμ# zero modes is physically unimportant. If the number μ doesn't depend on the geometry or on the parameters of the theory, and if the number of zero modes is a topological invariant, which is often the case, then 2πμ# zero modes has no dependence on the parameters of the theory and therefore has no physical meaning; it's like a constant shift of the ground state energy of the theory.

The Gaussian integrals in (2) can be evaluated in the standard way, giving the result
DϕeS[ϕ]=(12πμ)# zero modesVol(zero modes)n1μλn.
Here the product ranges over all nonzero eigenvalues of L. Formally, this can be rewritten as
(12πμ)# zero modesVol(zero modes)det(μL×)1/2,
where the notation L× refers to the restriction of L to its nonzero eigenvectors. We will drop this notation going forward, though, and just ask the reader to keep in mind that whenever we take a determinant of L, or write any function of its eigenvalues, we really mean only the nonzero eigenvalues. 

The differential operator μL× is unbounded, so it doesn't actually have a determinant. But there's a convenient and universal way to assign a finite value to this determinant, which seems to have useful physical consequences. This is the subject of the next section.

One comment, though, before we proceed: everything I've written so far, and everything I'll write below, assumes that the eigenvalue spectrum of L is discrete. This is a feature of compact manifolds. For non-compact manifolds, the eigenvalue spectrum is often continuous, but also the assumption made above that a generic field configuration can be written as ϕ(x)=ncnϕn(x) for arbitrary values of cn is false; boundary conditions on the field, like requiring it to fall off at a certain rate near infinity, constrain the cn coefficients relative to one another. This is one of many "infrared" issues that appear in trying to study quantum field theory on non-compact manifolds. One hopes, however, that non-compact manifolds of interest can be achieved as limits of compact manifolds, and that the properties of a quantum theory on a non-compact manifold can be computed as limits of properties of that theory on compact manifolds; this is what happens, for example, when you study quantum field theory in Minkowski spacetime by defining it on a spacelike sphere or torus and taking the limit as the size of that sphere/torus goes to infinity.

2. Zeta function regularization

We will now start assuming that L is a positive semidefinite operator, i.e., that all of its nonzero eigenvalues are positive. This is not an especially significant restriction, as any operator whose spectrum is bounded below can be made positive semidefinite by a constant shift.

Our goal is to assign a finite value to the formal expression
det(μL)=nμλn.
If this product were convergent, then we could take its logarithm and obtain
logdet(μL)=nlog(μλn).
A convenient way to rewrite the logarithm of a number is as the linear contribution to its power function, i.e., as
log(x)=ddsxs|s=0.
Substituting this into equation (3) gives
logdet(μL)=ndds(μλn)s|s=0.
If this series were uniformly convergent, then we could exchange the sum and the derivative to obtain
logdet(μL)=dds(n(μλn)s)|s=0.
Consider now s as a complex number. For values of s with sufficiently large real part, unless the eigenvalues {λn} are particularly badly behaved at large values of n, the sum
n(μλn)s
converges. In fact, it converges uniformly on compact subsets in the s-plane, and therefore by Morera's theorem is an analytic function on its domain of definition. On this domain, we define the ζ-function
ζμL(s)=n(μλn)s.
It can be extended to other parts of the complex plane by analytic continuation. If this extension is unique and regular at s=0, then we can formally define the determinant of μL by
det(μL)=eζμL(0).

Supposedly, one can show that when L is a so-called elliptic differential operator, the asymptotic growth of the eigenvalues for large n is such that the ζ series is guaranteed to converge uniformly for Re(s) above some threshold, and such that the analytic continuation is guaranteed to be regular at s=0. For this result, Hawking cites the essay "Complex powers of an elliptic operator" in this book, but the paper is pretty technical and I haven't been able to understand it. No big deal, though; we can check that the eigenvalues of any particular operator we're interested in admit an appropriate analytic continuation, and indeed we'll do this for the harmonic oscillator in section 3. In fact, we'll see in section 4 that the question of whether the ζ series converges for large enough Re(s) can be framed in terms of the asymptotic behavior of a particular function of the eigenvalues, and give an intuitive explanation for why we should expect it to converge.

In the zeta function's domain of definition, we can write
ζμL(s)=μsnλsn=μsζL(s).
Because μs is regular everywhere in the s plane, this expression holds everywhere. So in particular, near s=0, we have
ζμL(s)=(1slogμ)ζL(s),
and hence
ζμL(0)=ζL(0)logμ+ζL(0).
It is often the case, though not always, that ζL(0) vanishes; when this happens, we have ζμL(0)=ζL(0), and the normalization constant μ makes no physical contribution to the path integral. In any case, it is clear that we only need to study the function ζL(s) in a neighborhood of s=0, since ζμL(0) is completely determined by ζL(0), ζL(0), and μ.

There is a useful way to rewrite the function ζL(s), which is to insert the gamma function
Γ(s)=0dtts1et.
We can write
ζL(s)=1Γ(s)n0dtts1etλsn.
Making the substitution ttλn gives
ζL(s)=1Γ(s)n0dtts1etλn.
For well-behaved λn and sufficiently large values of Re(s), the sum nts1etλn converges uniformly on compact subsets of t, which means we can interchange the sum and the integral to write
ζL(s)=1Γ(s)0dtts1netλn.
(The only real restriction to guarantee this uniform convergence is that Re(s) needs to be large enough to cancel any small-t poles in netλn; more on that in section 4.)

The sum netλn can in principle be evaluated directly if we know all of the eigenvalues of the operator L, which will then let us evaluate ζL(s) near s=0. Indeed, we'll do this explicitly in section 3 for the harmonic oscillator partition function. But it isn't always the case that we know all of the eigenvalues, or how to sum them, or how to understand the integral of ts1 against that sum. But we don't actually need all of the eigenvalues to evaluate ζL(s); we only need the sum. The total sum has an elegant relationship to the heat kernel of the operator L, which in some cases can be studied using techniques from partial differential equations even if we can't study the eigenvalues directly.

The idea is to write the sum netλn in terms of an orthonormal basis of eigenfunctions {ϕn} as
netλn=M,xϵnetλnϕn(x)ϕn(x).
If we define the function K(x,x,t) by
K(x,x,t)=netλnϕn(x)ϕn(x),
then we can express this as
netλnM,xϵK(x,x,t).
The function K(x,x,t) for t>0 is interesting because it solves the heat equation
K(x,x,t)t+LxK(x,x,t)=0,
which is straightforward to check. The heat equation is linear and involves only a single derivative in t, so a solution of the heat equation is determined uniquely for all t>0 by its boundary condition at t=0. In the limit t0, the function K(x,x,t) limits to
K(x,x,0)=nϕn(x)ϕn(x)=δ(x,x),
where the delta function is normalized with respect to the metric, so that it satisfies
M,xϵδ(x,x)f(x)=f(x).
Because K(x,x,t) is the unique solution to the heat equation for the differential operator L with boundary condition K(x,x,0)=δ(x,x), it is called the heat kernel for $L.

Because of the connection to the heat kernel, we'll now start using the notation
K(t)=netλn.
This is the "trace of the heat kernel," K(t)=M,xϵK(x,x,t). Per our previous discussion, the zeta function for the operator L is given by
ζL(s)=1Γ(s)0dtts1K(t).

3. The harmonic oscillator partition function

The harmonic oscillator can be thought of as a one-dimensional quantum field theory, where the one-dimensional base space M encodes the time variable of the theory and the field is the position function x:MR. In Lorentz signature, the harmonic oscillator is studied on the base space M=R, with action
S=dt(m2x(t)2mω22x(t)2).
In Euclidean signature, the action is
S=dt(m2x(t)2+mω22x(t)2).
The Euclidean theory is the right one to use to compute the partition function of the harmonic oscillator; because what we want to compute is
Z(β)=tr(eβH),
we can compute this as the Euclidean time evolution operator on a periodic manifold of length β. (Length β because we want to evolve for Euclidean time β, periodic because we want the path integral to implement the trace.) In other words, we want to perform the path integral of the harmonic oscillator over the circle S1 with metric
ds2=(β2π)2dθ2.

After integrating by parts, the Euclidean action for the harmonic oscillator on this manifold can be written as
S[x]=12β0dtx(t)[mω2m2t]x(t).
This is a free theory with differential operator L=mω2m2t. On a circle of length β, the normalized eigenfunctions of this differential operator are the Fourier modes
xn(t)=1βe2πint/β
with eigenvalues
λn=m(ω2+4π2n2β2).
The trace of the heat kernel for this differential operator is thus
K(t)=emtω2n=exp[4π2mtβ2n2].
The sum in this expression is a very famous function called the Jacobi theta function. We can study it by applying the Poisson summation formula, which gives us the expression
K(t)=emtω2β2πmtn=exp[β24mtn2].
The advantage of this expression is that the integral
Γ(s)ζL(s)=0dtts1K(t)=β2πmn=0dtts3/2exp[mtω2β24mtn2]
is regular even in the limit s0 (except for the n=0 term, which we'll treat separately). We could ask Mathematica to do the integral for us, but it's kind of a fun exercise, so let's do it ourselves. It'll be convenient to be able to take n to be positive in the following, so we'll rewrite our sum as
Γ(s)ζL(s)=β2πm(2n=10dtts3/2exp[mtω2β24mtn2]+0dtts3/2emtω2).
The second integral can be evaluated directly as
0dtts3/2emtω2=Γ(s12)(mω2)12s.
This is analytic at s=0, and evaluates to 2ωπm.

The remaining integral we want to evaluate is
I=0dt1t3/2exp[mω2tβ2n24m1t].
To start, let's try to get this integral to look a little more Gaussian by substituting tu2, obtaining
I=20du1u2exp[mω2u2β2n24m1u2].
The exponent is a bit alluring; because it includes factors of both u2 and u2, there is some number α for which the substitution uα/u will keep the exponent fixed. This value can easily be checked to be α=βn/2mω. Under this substitution, we obtain
I=4mωβn0duexp[mω2u2β2n24m1u2].
(Here for the first time we have used the assumption n>0, which keeps the bounds of integration in the right order.) Summing the two expressions for I, we obtain
I=2mωβn0du(1+βn2mω1u2)exp[mω2u2β2n24m1u2].
This encourages us to try substituting in a variable w satisfying
dw=du(1+βn2mω1u2).
This is accomplished by the change of variables
w=uβn2mω1u.
Because we have assumed n>0, this variable ranges from at u=0 to + at u=+. Furthermore, one can easily check the relation
mω2w2=mω2u2+β2n24m1u2βnω,
which is exactly the exponent in our most recent integral expression for I up to a constant term. So, substituting w for u we obtain
I=2mωβndwexp[mω2w2βnω].
This is a Gaussian integral, and it evaluates to
I=eβnω2πmβn.
This gives us the s=0 limit of the zeta function as
lims0Γ(s)ζL(s)=β2πm(2n=1eβnω2πmβn2ωπm)=2n=1eβnωnβω.

The sum can be evaluated by taking the derivative with respect to βω, which results in an ordinary geometric series that can be summed with the usual formula. The result can then be integrated with respect to βω, with the constant of integration fixed by the condition that the integral should vanish in the limit βω. This gives the expression
lims0Γ(s)ζL(s)=1βlog(eβω1).
In the small-s limit, the gamma function has a pole Γ(s)1/s. So because the right-hand side of this expression is regular, we must have ζL(0)=0. As such, the renormalization constant μ discussed in the previous section makes no contribution to the one-loop determinant, and we have
ζμL(0)=ζL(0).
Again using Γ(s)1/s, we obtain the identity
ζL(0)=βω2log(eβω1).
From the formulas of the previous section, we see that the partition function of the harmonic oscillator is
Z[β]=(12πμ)# zero modesVol(zero modes)eζL(0)/2.
For nonzero frequencies ω0, the differential operator mω2m2t has no zero modes, so we are left with
Z[β]=eζL(0)/2=12sinh(βω2).

Let's check our work. From the Hamiltonian formalism, we know that the energy levels of the harmonic oscillator are ω(n+1/2) for n=0 to n=, so the partition function should be
Z[β]=eβω/2n=0eβωn.
This is a geometric series. The result, fully simplified, matches equation (5).

4. Some mathematical comments

This section is a bit of a grab-bag. In the first subsection, I'll comment on the asymptotics of the heat kernel, and on the "sort-of-correct" formula
Z=exp[120dt1tK(t)]
that is often written in quantum field theory texts. In the second subsection, I'll comment on the fact that under certain assumptions the ζ-function regularization technique produces the same result as more "physical-seeming" regularization schemes.

4.1 Asymptotics of the heat kernel

Recall from sections 1 and 2 that the path integral of a free theory can be expressed in terms of ζL(0) and ζL(0), and that ζL(s) can be written in terms of the heat kernel as
ζL(s)=1Γ(s)0dtts1K(t),
so long as Re(s) is large enough that the integral converges. Because 1/Γ(s) behaves like s in the limit s0, we are tempted to just take the s0 limit of the integral and write
ζL(0)=0dt1tK(t).

There are a few problems with this expression. First, applying the same logic without taking an s-derivative would lead us to believe that ζL(0) vanishes; while this is often the case, as in the harmonic oscillator example of the previous section, it is not always true. Second, the integral 0dt1tK(t) will usually not converge! If the eigenvalues are well behaved at infinity then we might expect the upper limit of the integral to converge, because K(t) should decay exponentially in t, but near t0 the integral will only converge if K(0) vanishes. This is almost never the case; in fact, we'll argue below on quite general grounds that it will have a pole at small t whose order is controlled by the dimension of the manifold M and by the order of the differential operator L.

So if we take equation (6) as our starting point, we need to evaluate it by introducing some cutoff and writing
ζL(0)=ϵdt1tK(t),
then introducing some counterterms to eliminate the divergences in ϵ. I don't really like this approach; that cutoff is hard for me to make sense of physically, and in reducing ourselves to this expression we completely miss the fact that some divergences are physical and some aren't. For example, the partition function of the harmonic oscillator has no physical divergences; the zeta function regularization we undertook in the previous section gave us finite expressions the whole way through. But the heat kernel for that problem still diverges as 1/t in the small-t limit, so equation (6) will have divergences that must be renormalized away even for the harmonic oscillator. On the other hand, there are divergences that have a more physical meaning; for example, the path integrals that compute entanglement entropy of spatial subregions of free quantum field theories do have physical divergences that represent large amounts of entanglement in the ultraviolet modes of the theory. These divergences are visible in the appropriate zeta function, and can be studied qualitatively by introducing a short-length cutoff in a neighborhood of the entangling surface and asking how the zeta function near s=0 depends on the size of the cutoff. If you start your analysis with equation (6), then I think it becomes harder to keep track of which divergences are mathematical trivialities and which ones really tell you something physical about the theory.

But that's enough ideology. You can, of course, start with equation (6) and get perfectly good physical answers by being careful about renormalization. Many people do, successfully! And I'm sure some people would argue that the UV divergence in the entanglement entropy isn't a physical property of the theory, since it is expected to smooth out when the theory is coupled to gravity. Let's drop the matter and move onward to study the small-t asymptotics of the heat kernel.

We will restrict our attention to a class of differential operators that might initially seem fairly narrowly defined, but that encompasses a large number of physically interesting theories. A general n-th order differential operator can be expressed in terms of the covariant derivative a as
Lϕ=α(0)ϕ+αa(1)aϕ+αab(2)abϕ++αa1an(n)a1anϕ.
We will restrict our attention to cases where all of the coefficients αa1aj(j) are tensors locally constructed from the metric; in particular, the only tensors we will consider are combinations of the metric gab, the Riemann tensor Rabcd, and the D-dimensional volume form ϵa1aD. These various combinations may be multiplied by real coefficients, but not by arbitrary functions of the base manifold.

The basic idea behind understanding the heat kernel of such an operator is that physically, the heat equation for L is supposed to govern diffusion on a manifold M where the local rate of diffusion is set by the differential operator L. The heat kernel K(x,x,t) is supposed to represent the x-profile of diffusing matter that, at time t=0, was concentrated entirely at the point x. Since diffusion is local, at very small values of t the heat kernel should be basically unaware of the curvature of the manifold on which L is defined. So if we choose locally orthonormal coordinates at the point x — so that the Christoffel symbols vanish at that point — then for small t the heat kernel shouldn't know that the Christoffel symbols are nonzero away from x, and should approach that of the differential operator
L(flat)ϕ=α(0)ϕ+αμ(1)μϕ+αμν(2)μνϕ++αμ1μn(n)μ1μnϕ,
where terms in the coefficients that depend on the Riemann tensor are set to zero. In fact, the terms depending on the volume form ϵa1aD must also vanish, because the volume form is antisymmetric and all derivatives commute when the curvature vanishes. Since the only remaining tensor is the flat metric ημν, which has two indices, and since L(flat)ϕ must have the same number of indices as ϕ, equation (5) can contain only even derivatives of ϕ.

The eigenfunctions of L(flat) are all proportional to the plane waves eipx, with corresponding eigenvalues
α(0)αμν(2)pμpν++(1)kαμ1μ2k(2k)pμ1pμ2k.
Because each α coefficient is constructed from the metric ημν, this eigenvalue must be equal to
α(0)+α(2)p2+α(2k)p2k
for some appropriate real coefficients α(j).

The number of independent eigenfunctions at each momentum value pμ is equal to the number of linearly independent degrees of freedom in the tensor ϕ; if ϕ has N indices, then there are DN independent eigenfunctions. For example, if ϕ is really a rank-(2,0) tensor ϕμν, then the eigenfunctions with eigenvalue p are
(ϕp;j1,j2)μν(x)=eipxδj1μδj2ν.
So the heat kernel can be written as
Kflat(x,x,t)=dDpDNet(α(0)+α(2)p2++α(2k)p2k)eip(xx)(2π)D,
where the factor of 1/(2π)D comes from the requirement that the eigenfunctions be δ-function normalized.

This integral converges whenever the leading coefficient in the exponential at large values of p, α(2k), is negative. In that case, we can even estimate the behavior of Kflat(x,x,t) for small t. We first set x=x to obtain
Kflat(x,x,t)=DN(2π)DdDpet(α(0)+α(2)p2++α(2k)p2k).
We then substitute ppt12k to obtain
Kflat(x,x,t)=DN(2π)DtD2kdDpeα(0)tα(2)p2tk1kα(2k)p2k.
For small t the integral is obviously dominated by the last term in the exponential, which is the only one with no t dependence. The integral of this term can be computed by standard methods (converting to higher-dimensional polar coordinates), but we won't actually need the expression, all we need to know is that it is finite in the limit t0. This tells us that for small t, the function Kflat(x,x,t) is dominated by a term of order 1/tD/2k. Since we expect on physical grounds that our actual heat kernel K should approach Kflat at small t, this tells us that on our base manifold M, the trace of the heat kernel of the differential operator L goes like
K(t)=MϵK(x,x,t)Vol(M)#tD2k+higher order in t.
If M is not compact, then the volume factor should be treated as an infrared divergence.

We can now return to our formula (4) for the zeta function, reproduced here:
ζL(s)=1Γ(s)0dtts1K(t).
Because we know that for small t the trace of the heat kernel goes as tD/2k, we know that the lower limit of the integral converges for Re(s)>D2k. Unfortunately we haven't provided a similar argument for the convergence of the integral in the t limit. For that limit of the integral to converge, it must be the case that the large eigenvalues aren't too densely packed — we want the sum neλnt to decay exponentially at large t, which will happen so long as the number of eigenvalues near the value λ grows only polynomially as λ becomes large. But this can actually be shown from what we already have if we apply the Hardy-Littlewood tauberian theorem. What we do is rewrite the heat kernel as
K(t)=neλnt=0dxextnδ(xλn).
If we define F(x) to be the piecewise-constant function
F(x)={n if λnx<λn+1},
then we have
dF(x)=nδ(xλn)dx,
and hence
K(t)=0dxextdF(x).
The integral formulation of the Hardy-littlewood theorem then tells us that because K(t) asymptotes for small t to
K(t)t0ctD2k,
the function F(x) asymptotes for large x to
F(x)xcΓ(D2k+1)xD2k.
Since F(x) counts the total number of eigenvalues with value at or below x, we learn that the asymptotic rate of growth is polynomial in x, and therefore sub-exponential, as desired.

4.2 Smoothed sums

In section 2, we introduced zeta function regularization as a way of assigning a finite value to an infinite product like
n=1λn,
where λn is a nondecreasing sequence because the spectrum of our differential operator is bounded below.  This product clearly does not converge unless the eigenvalues are bounded above by 1.
 
But let's consider for a moment what equation (7) means. It is defined as the limit
limNNn=1λn.
But this is only one way of defining what we mean by an infinite product. There is another way, which I will shortly argue is more physical, which is to introduce a smooth regulating function η(x), which has the properties that (i) it is compactly supported, and (ii) it equals one in a neighborhood of x=0. We then define our infinite product as
limNn=1λη(nN)n.
As N gets larger, more and more of the integers n have the property that n/N is in the neighborhood of x=0 with η=1. So as N gets larger, we fully expect the limit to be the same as the limit in equation (8). In fact, for any product that is absolutely convergent, an appropriate application of the dominated convergence theorem can be used to show that (9) and (8) give identical results. But equation (9) has a serious advantage for non-convergent products, which is that it is smooth in N, and therefore can be given an asymptotic expansion in the large-N limit.

So here's the trick: when we study quantum field theory, we really have in mind that we're studying some low-energy theory whose ultraviolet completion we don't understand. Renormalization is the process of "fuzzing out" whatever happens at high energies, with the assumption that it is an artifact of our ultraviolet ignorance. One approach to renormalizing a path integral is to study the asymptotic expansion of equation (9) in the large-N limit, and to keep only the finite-in-N term of that expansion. The terms that diverge with N are contributions from UV modes of the theory; if we're lucky, they can be eliminated by adding local counterterms.

I won't be any more precise than that, but I will tell you that as I understand it, the ζ-function regularized result for n=1λn reproduces the finite-in-N term in the large-N expansion of (9) under quite general assumptions. I don't know much about the general theory, but there are a few very clear examples worked out in this blog post by Terry Tao. I'll send you there for further explorations. If you find a good, clean way to explain why this should be true in general, send me a message!

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