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Canonical–Functional Crosswalk for Regulated Systems

Canonical and functional calculations agree in the example below because they are two exact representations of the same finitely regulated oscillator system. For finitely many massive scalar modes sampled at finitely many Euclidean times, the exact transfer kernel and the vacuum wave functions define a normalized finite Gaussian integral. Its covariance is precisely the Euclidean time-ordered vacuum two-point function computed with creation and annihilation operators. The equality requires the same regulator, Hamiltonian and ordering, operator domain, state, boundary data, normalization, source, observable, and prescription. It is not a universal equivalence theorem for canonical and functional formulations of QFT.

Required background. Time Slicing and Transition Amplitudes supplies the normalized kernel construction and its ordering data. Gaussian Fields and Sources supplies finite Gaussian source derivatives and inverse-kernel checks. Quantizing the Real Scalar Field supplies the finite-mode oscillator algebra and selected vacuum.

Helpful background. Boundaries and State Preparation distinguishes a fixed-endpoint kernel from the vacuum matrix element obtained by attaching and integrating boundary wave functions.

The comparison fixes one finite oscillator system

Section titled “The comparison fixes one finite oscillator system”

Let a spatial regulator RR retain NR<N_R<\infty real orthonormal scalar modes va(x)v_a(\mathbf x) with strictly positive frequencies ωa\omega_a. A finite box, boundary condition, and mode cutoff are included in RR. We use natural units, set the oscillator masses to one by the choice of canonical coordinates, and assume m>0m>0 so that no periodic zero-frequency mode occurs.

We take the standard self-adjoint oscillator Hamiltonian on the canonical Hilbert space, with the following chosen invariant core:

HR=L2(RNR,dNRq),DR=S(RNR),\mathcal H_R=L^2(\mathbb R^{N_R},\mathrm d^{N_R}q), \qquad \mathcal D_R=\mathcal S(\mathbb R^{N_R}),

Here qq=δ(NR)(qq)\langle q'|q\rangle=\delta^{(N_R)}(q'-q), q^a\widehat q_a acts by multiplication, and p^a=i/qa\widehat p_a=-i\partial/\partial q_a on DR\mathcal D_R. The regulated Hamiltonian has the following differential expression on that core:

H^R=12a=1NR(p^a2+ωa2q^a2).\widehat H_R = \frac12\sum_{a=1}^{N_R} \left( \widehat p_a^2+\omega_a^2\widehat q_a^2 \right).

Euclidean sample times are τn=nϵ\tau_n=n\epsilon for n=0,,Ln=0,\ldots,L, with L1L\geq1, ϵ>0\epsilon>0, and T=LϵT=L\epsilon. Instead of assuming a continuum product measure, the functional side will contain only the NR(L+1)N_R(L+1) real coordinates qa,nq_{a,n}. Each interval uses the exact matrix element qn+1eϵH^Rqn\langle q_{n+1}|e^{-\epsilon\widehat H_R}|q_n\rangle; no Trotter error is hidden in the main match. Sources sa,ns_{a,n} couple directly as a,nsa,nqa,n\sum_{a,n}s_{a,n}q_{a,n}. If a continuum source is later sampled on the grid, its relation to sa,ns_{a,n} requires a declared quadrature rule.

The choices that must coincide are:

DatumCanonical choiceFunctional choice and check
SystemThe same NRN_R real modes and frequenciesThe same coordinates and quadratic kernel; spectra agree mode by mode
Algebra and domainq^a\widehat q_a, p^a\widehat p_a, and H^R\widehat H_R on the stated coreCoordinate integrations over RNR(L+1)\mathbb R^{N_R(L+1)} with no omitted boundary term
OrderingEuclidean time ordering generated by eϵH^Re^{-\epsilon\widehat H_R}Exact transfer kernels, or a separately declared ordered short-step approximation
State and boundaryThe normalized vacuum 0R\lvert0_R\rangleThe same ground-state wave function at both endpoints, integrated once each
NormalizationNormalized vacuum matrix elementsEvery kernel and endpoint factor retained, so the zero-source measure integrates to one
Source and observableOrdered products of the retained q^a\widehat q_aDerivatives with respect to the direct source sa,ns_{a,n}
Prescription and limitsEuclidean decay in the chosen vacuum; RR fixedThe same decay and fixed RR; no spatial cutoff removal inferred

This is a comparison record, not extra dynamics. A disagreement in any row means that the two calculations are not yet computing the same object.

Canonical operators give the vacuum covariance

Section titled “Canonical operators give the vacuum covariance”

For one retained mode, suppress the label aa and write

q^=a^+a^2ω,H^=ω(a^a^+12),a^0=0.\widehat q = \frac{\widehat a+\widehat a^\dagger}{\sqrt{2\omega}}, \qquad \widehat H = \omega\left(\widehat a^\dagger\widehat a+\frac12\right), \qquad \widehat a|0\rangle=0.

Euclidean evolution gives

q^(τ)=eτH^q^eτH^=eωτa^+eωτa^2ω.\widehat q(\tau) = e^{\tau\widehat H}\widehat q e^{-\tau\widehat H} = \frac{ e^{-\omega\tau}\widehat a +e^{\omega\tau}\widehat a^\dagger }{\sqrt{2\omega}}.

For τnτm\tau_n\geq\tau_m, only 0a^a^0=1\langle0|\widehat a\widehat a^\dagger|0\rangle=1 contributes. Euclidean time ordering therefore yields

Cnmcan=0Tτq^(τn)q^(τm)0=eωτnτm2ω.C^{\mathrm{can}}_{nm} = \langle0|\mathcal T_\tau \widehat q(\tau_n)\widehat q(\tau_m)|0\rangle = \frac{e^{-\omega|\tau_n-\tau_m|}}{2\omega}.

For all retained modes, define

ϕ^R(τ,x)=a=1NRva(x)q^a(τ).\widehat\phi_R(\tau,\mathbf x) = \sum_{a=1}^{N_R}v_a(\mathbf x)\widehat q_a(\tau).

The canonical vacuum two-point function is then the finite sum

GE,Rcan(τ,x;τ,y)=a=1NRva(x)va(y)eωaττ2ωa.\begin{aligned} G^{\mathrm{can}}_{E,R} &(\tau,\mathbf x;\tau',\mathbf y) \\ &= \sum_{a=1}^{N_R} v_a(\mathbf x)v_a(\mathbf y) \frac{e^{-\omega_a|\tau-\tau'|}}{2\omega_a}. \end{aligned}

Every term is an ordinary oscillator matrix element. The spatial cutoff makes the sum finite, and ωa>0\omega_a>0 makes the selected Gaussian vacuum normalizable.

Exact Euclidean kernels give a finite Gaussian chain

Section titled “Exact Euclidean kernels give a finite Gaussian chain”

For the same one-mode Hamiltonian, the normalized ground-state wave function and energy are

ψ0(q)=(ωπ)1/4eωq2/2,E0=ω2.\psi_0(q) = \left(\frac{\omega}{\pi}\right)^{1/4} e^{-\omega q^2/2}, \qquad E_0=\frac{\omega}{2}.

The exact Euclidean transfer kernel over one interval is

Kϵ(q,q)=[ω2πsinh(ωϵ)]1/2×exp ⁣{ω2sinh(ωϵ)[(q2+q2)cosh(ωϵ)2qq]}.\begin{aligned} \mathcal K_\epsilon(q',q) ={}& \left[ \frac{\omega}{2\pi\sinh(\omega\epsilon)} \right]^{1/2} \\ &\times \exp\!\left\{ -\frac{\omega}{2\sinh(\omega\epsilon)} \left[ (q'^2+q^2)\cosh(\omega\epsilon)-2q'q \right] \right\}. \end{aligned}

It is the coordinate matrix element of eϵH^e^{-\epsilon\widehat H}, with the endpoint values and normalization shown explicitly (Zinn-Justin 2021, § 2.3, pp. 24–25). Attach the same vacuum at both endpoints and integrate every sampled coordinate once:

dνϵ,L(q0,,qL)=eE0Tψ0(qL)ψ0(q0)×n=0L1Kϵ(qn+1,qn)n=0Ldqn.\begin{aligned} \mathrm d\nu_{\epsilon,L}(q_0,\ldots,q_L) ={}& e^{E_0T}\psi_0(q_L)\psi_0(q_0) \\ &\times \prod_{n=0}^{L-1} \mathcal K_\epsilon(q_{n+1},q_n) \prod_{n=0}^{L}\mathrm dq_n. \end{aligned}

This is a finite positive measure. Its normalization is an operator identity:

dνϵ,L=eE0T0eTH^0=1.\int\mathrm d\nu_{\epsilon,L} = e^{E_0T} \langle0|e^{-T\widehat H}|0\rangle =1.

Coordinate resolutions, fixed endpoints, boundary states, and the ordering encoded by the transfer operator are the ingredients that connect canonical matrix elements to functional representations (Weinberg 1995, §§ 9.1–9.4, pp. 378–398). Here the exact kernel makes the bridge finite-dimensional at every stage.

The structure becomes transparent after setting

r=eωϵ,0<r<1.r=e^{-\omega\epsilon}, \qquad 0<r<1.

The joint measure factorizes into a stationary initial density and normalized conditional densities:

dνϵ,L=π(q0)dq0n=0L1Pϵ(qn+1qn)dqn+1,\mathrm d\nu_{\epsilon,L} = \pi(q_0)\,\mathrm dq_0 \prod_{n=0}^{L-1} P_\epsilon(q_{n+1}|q_n)\,\mathrm dq_{n+1},

where

π(q)=(ωπ)1/2eωq2,\pi(q) = \left(\frac{\omega}{\pi}\right)^{1/2}e^{-\omega q^2},

and

Pϵ(qq)=[ωπ(1r2)]1/2exp ⁣[ω(qrq)21r2].P_\epsilon(q'|q) = \left[ \frac{\omega}{\pi(1-r^2)} \right]^{1/2} \exp\!\left[ -\frac{\omega(q'-rq)^2}{1-r^2} \right].

The factors follow by completing the square in the exact kernel. They exhibit the boundary preparation, all normalization constants, and the finite-dimensional integration domain without introducing a symbol such as τdq(τ)\prod_\tau\mathrm dq(\tau).

The finite functional covariance matches mode by mode

Section titled “The finite functional covariance matches mode by mode”

The conditional Gaussian can be represented as

qn+1=rqn+ηn,ηn=0,ηnηm=1r22ωδnm,q_{n+1}=rq_n+\eta_n, \qquad \langle\eta_n\rangle=0, \qquad \langle\eta_n\eta_m\rangle = \frac{1-r^2}{2\omega}\delta_{nm},

with the ηn\eta_n independent of earlier coordinates. The initial density has q02=1/(2ω)\langle q_0^2\rangle=1/(2\omega), so the variance remains stationary:

qn2=r2qn12+1r22ω=12ω.\langle q_n^2\rangle = r^2\langle q_{n-1}^2\rangle +\frac{1-r^2}{2\omega} = \frac{1}{2\omega}.

For nmn\geq m, repeated conditioning gives

Cnmfun=dνϵ,Lqnqm=rnmqm2=eωτnτm2ω.C^{\mathrm{fun}}_{nm} = \int\mathrm d\nu_{\epsilon,L}\,q_nq_m = r^{n-m}\langle q_m^2\rangle = \frac{e^{-\omega|\tau_n-\tau_m|}}{2\omega}.

Thus

Cnmfun=CnmcanC^{\mathrm{fun}}_{nm}=C^{\mathrm{can}}_{nm}

for every LL, every ϵ>0\epsilon>0, and every pair of sampled times. There is no time-slicing limit in this equality because each interval used the exact transfer kernel.

The normalized finite source integral is consequently

Zϵ,L[s]=dνϵ,Lexp ⁣(n=0Lsnqn)=exp ⁣(12n,m=0LsnCnmsm),\begin{aligned} Z_{\epsilon,L}[s] &= \int\mathrm d\nu_{\epsilon,L} \exp\!\left(\sum_{n=0}^{L}s_nq_n\right) \\ &= \exp\!\left( \frac12\sum_{n,m=0}^{L}s_nC_{nm}s_m \right), \end{aligned}

and

2logZϵ,Lsnsms=0=Cnm.\left. \frac{\partial^2\log Z_{\epsilon,L}} {\partial s_n\partial s_m} \right|_{s=0} =C_{nm}.

If a continuum source is sampled by 0Tj(τ)q(τ)dτnwnjnqn\int_0^T j(\tau)q(\tau)\,\mathrm d\tau\approx\sum_nw_nj_nq_n, then sn=wnjns_n=w_nj_n. For example, trapezoidal sampling has w0=wL=ϵ/2w_0=w_L=\epsilon/2 and wn=ϵw_n=\epsilon at interior nodes. Therefore

1wnwm2logZϵ,Ljnjmj=0=Cnm.\left. \frac{1}{w_nw_m} \frac{\partial^2\log Z_{\epsilon,L}} {\partial j_n\partial j_m} \right|_{j=0} =C_{nm}.

The direct finite source sns_n needs no continuum quadrature; differentiating with respect to jnj_n as though it were sns_n would compare different source conventions.

For the multimode figure below, we use the compact definitions

dνR,ϵ,L:=a=1NRdνϵ,L(a),ZR,ϵ,L[s]:=dνR,ϵ,Lea,nsa,nqa,n.\mathrm d\nu_{R,\epsilon,L} := \prod_{a=1}^{N_R}\mathrm d\nu^{(a)}_{\epsilon,L}, \qquad Z_{R,\epsilon,L}[s] := \int\mathrm d\nu_{R,\epsilon,L} e^{\sum_{a,n}s_{a,n}q_{a,n}}.

Taking the product of these normalized chains over a=1,,NRa=1,\ldots,N_R gives the declared free-scalar result:

GE,Rfun(τn,x;τm,y)=GE,Rcan(τn,x;τm,y)\boxed{ G^{\mathrm{fun}}_{E,R} (\tau_n,\mathbf x;\tau_m,\mathbf y) = G^{\mathrm{can}}_{E,R} (\tau_n,\mathbf x;\tau_m,\mathbf y) }

with both sides equal to the same finite mode sum displayed above. The usual Euclidean oscillator source functional and its vacuum covariance are obtained by the same Gaussian calculation (Zinn-Justin 2021, § 2.6, pp. 30–31).

The inverse-kernel contact check closes the derivation

Section titled “The inverse-kernel contact check closes the derivation”

The finite chain itself supplies an independent Gaussian check. Its exponent can be written as qTQϵq/2-q^{\mathsf T}\mathsf Q_\epsilon q/2, up to the normalized constant factors, with tridiagonal precision matrix

(Qϵ)00=(Qϵ)LL=2ω1r2,(Qϵ)nn=2ω(1+r2)1r2,1nL1,(Qϵ)n,n+1=(Qϵ)n+1,n=2ωr1r2.\begin{aligned} (\mathsf Q_\epsilon)_{00} =(\mathsf Q_\epsilon)_{LL} &= \frac{2\omega}{1-r^2}, \\ (\mathsf Q_\epsilon)_{nn} &= \frac{2\omega(1+r^2)}{1-r^2}, &&1\leq n\leq L-1, \\ (\mathsf Q_\epsilon)_{n,n+1} =(\mathsf Q_\epsilon)_{n+1,n} &= -\frac{2\omega r}{1-r^2}. \end{aligned}

All other entries vanish. Substituting Cnm=rnm/(2ω)C_{nm}=r^{|n-m|}/(2\omega) gives

QϵC=IL+1.\mathsf Q_\epsilon C=I_{L+1}.

For an interior row, the equality follows from

(QϵC)nm=2ω1r2[(1+r2)CnmrCn1,mrCn+1,m],\begin{aligned} (\mathsf Q_\epsilon C)_{nm} = \frac{2\omega}{1-r^2} \big[ &(1+r^2)C_{nm} \\ &-rC_{n-1,m}-rC_{n+1,m} \big], \end{aligned}

which vanishes for nmn\neq m and equals one for n=mn=m; the two endpoint rows work because the vacuum wave functions supplied the endpoint entries of Qϵ\mathsf Q_\epsilon. Omitting those wave functions changes the inverse problem.

At continuous Euclidean time, the same invariant check is

(τ2+ω2)eωτ2ω=δ(τ).\left(-\partial_\tau^2+\omega^2\right) \frac{e^{-\omega|\tau|}}{2\omega} = \delta(\tau).

For 0<τ<T0<\tau'<T, its restriction C(τ,τ)=eωττ/(2ω)C(\tau,\tau')=e^{-\omega|\tau-\tau'|}/(2\omega) also satisfies the vacuum endpoint conditions

(τω)C(0,τ)=0,(τ+ω)C(T,τ)=0.(\partial_\tau-\omega)C(0,\tau')=0, \qquad (\partial_\tau+\omega)C(T,\tau')=0.

These are the continuous counterparts of the two special endpoint rows of Qϵ\mathsf Q_\epsilon; the differential equation alone does not select this inverse.

The derivative jump is

τC(0+)τC(0)=1.\partial_\tau C(0^+)-\partial_\tau C(0^-)=-1.

Mode by mode, this tests the oscillator normalization and equal-time commutator. For the field, the spatial sum reconstructs the regulated identity kernel

δR(x,y)=a=1NRva(x)va(y),\delta_R(\mathbf x,\mathbf y) = \sum_{a=1}^{N_R}v_a(\mathbf x)v_a(\mathbf y),

not an unregulated spatial delta distribution.

The matched data make the equality conditional

Section titled “The matched data make the equality conditional”

Read the diagram as a data-matching test: trace the operator and Gaussian routes to their common regulated covariance, then inspect every equality gate and the dashed list of excluded claims.

Two stacked routes start from the same finite scalar modes. Route A passes through the oscillator Hamiltonian and domain, the selected vacuum, and its Euclidean time-ordered operator product. Route B passes through exact Gaussian transfer kernels, both integrated vacuum endpoints, the normalized measure d nu sub R epsilon L over the finite-dimensional coordinate domain, and derivatives of log Z sub R epsilon L. Equality gates require the same regulator, modes, frequencies, Hamiltonian, ordering, operator and integration domains, vacuum, endpoint data, normalization, direct-source convention, observable, prescription, fixed-regulator claim, and limit order. The routes meet at the same regulated covariance, with the finite check Q epsilon C equals I and the Euclidean contact equation. A dashed boundary excludes spatial regulator removal, interacting equivalence, constructive existence, reconstruction, and infinite-system representation claims.

For a fixed spatial regulator and a finite set of Euclidean samples, the solid routes are exact because every interval uses the same transfer operator. The shared endpoint is the covariance Ca(τ)=eωaτ/(2ωa)C_a(\tau)=e^{-\omega_a|\tau|}/(2\omega_a) and its contact equation. The dashed boundary marks claims not established by this comparison: spatial regulator removal, interacting equivalence, reconstruction, or uniqueness of infinite-system representations. The diagram is schematic and not to scale.

Read the two routes from top to bottom. Route A ends at 0RTτq^a(τn)q^b(τm)0R\langle0_R|\mathcal T_\tau\widehat q_a(\tau_n) \widehat q_b(\tau_m)|0_R\rangle. Route B uses the exact Gaussian kernels, integrates both endpoint wave functions once over RNR(L+1)\mathbb R^{N_R(L+1)}, and ends at sa,nsb,mlogZR,ϵ,L[s]s=0\left.\partial_{s_{a,n}}\partial_{s_{b,m}} \log Z_{R,\epsilon,L}[s]\right|_{s=0}. Its normalization is dνR,ϵ,L=1\int\mathrm d\nu_{R,\epsilon,L}=1. The gates require equality of the regulator and spectrum; Hamiltonian, ordering, and operator domain; vacuum, endpoint data, and integration domain; normalization and source convention; observable and prescription; and fixed-RR claim and limit order. Only then do the routes yield the common covariance, whose independent checks are QϵC=I\mathsf Q_\epsilon C=I and (τ2+ωa2)Ca=δ(-\partial_\tau^2+\omega_a^2)C_a=\delta. The dashed box lists the excluded continuum, interacting, reconstruction, and representation claims. Open the SVG alone for scalable zoom and pan.

A mismatch in any defining datum stops the comparison

Section titled “A mismatch in any defining datum stops the comparison”

The exact calculation has a sharp domain of validity:

MismatchWhat changes
Remove the endpoint vacuum wave functionsThe finite Gaussian has different endpoint rows and no longer computes the vacuum matrix element
Identify the two endpoints and integrate onceThe object becomes a trace; at finite Euclidean extent it gives a thermal covariance
Replace the exact kernel by a short-step actionEquality acquires the product-formula error and ordering convention of that approximation
Change the spatial cutoff or boundary conditionThe frequency list and regulated identity kernel change, so the systems differ
Set some ωa=0\omega_a=0The ground-state Gaussian and 1/(2ωa)1/(2\omega_a) covariance cease to exist in that direction
Couple wnjnqnw_nj_nq_n but differentiate as though the source were snqns_nq_nThe quadrature weights spoil the comparison
Use a Lorentzian bulk action without a contour or i0i0The oscillatory Gaussian and its inverse are not yet specified
Use a constrained or gauge-redundant systemThe unconstrained coordinate measure and oscillator domain no longer apply

For the matched Feynman vacuum prescription, define DF(t):=0T{q^(t)q^(0)}0D_F(t):=\langle0|\mathcal T\{\widehat q(t)\widehat q(0)\}|0\rangle. The one-mode Lorentzian result is

DF(t)=eiωt2ω,(t2+ω2)DF(t)=iδ(t).D_F(t) = \frac{e^{-i\omega|t|}}{2\omega}, \qquad \left(\partial_t^2+\omega^2\right)D_F(t) = -i\delta(t).

Its contact term differs from the Euclidean one. A retarded, advanced, thermal, or fixed-boundary inverse has another boundary condition even when the denominator looks the same. The time-slice spacing ϵ\epsilon controls a product approximation when one is used; i0i0 selects a Lorentzian boundary value. They are not the same limit.

For nonquadratic momentum dependence, coordinate-dependent kinetic terms, momentum sources, or composite insertions, the finite-slice ordering and momentum integrations must be carried explicitly. Only suitable nonsingular quadratic momentum dependence reduces those integrations to Gaussian determinants. For an interacting or infinite system, agreement of one regulated two-point function does not construct the limit, identify representations, or prove reconstruction.

Matching only the differential operator. Boundary conditions, state, and prescription select its inverse. Equal denominators do not identify Feynman, retarded, thermal, Dirichlet, and vacuum-projected kernels.

Comparing a kernel with a vacuum expectation value. A fixed-endpoint kernel leaves q0q_0 and qLq_L unintegrated. The vacuum matrix element attaches ψ0(q0)\psi_0(q_0) and ψ0(qL)\psi_0(q_L) and integrates both endpoints exactly once.

Cancelling normalization before the objects match. Determinants and kernel prefactors cancel in a normalized source ratio only when the kernel, boundary data, and reference measure are unchanged. The finite chain above keeps every factor until its integral is demonstrably one.

Forgetting which source is differentiated. A direct discrete source sns_n and a quadrature-sampled continuum source jnj_n differ by sn=wnjns_n=w_nj_n. Source derivatives must be translated before their correlators are compared.

Promoting fixed-regulator agreement to universal equivalence. The proof covers a finite free oscillator system and a selected observable. Spatial cutoff removal, interacting existence, reconstruction, and representation comparison require separate hypotheses and theorems.

  1. Starting from the conditional density Pϵ(qq)P_\epsilon(q'|q), verify its mean, variance, and stationary density.

    Solution

    Completing the square shows that qqq'|q is Gaussian with mean rqrq and variance (1r2)/(2ω)(1-r^2)/(2\omega). If qq has variance 1/(2ω)1/(2\omega), then qq' has variance r2/(2ω)+(1r2)/(2ω)=1/(2ω)r^2/(2\omega)+(1-r^2)/(2\omega)=1/(2\omega). Its mean remains zero, so π(q)=(ω/π)1/2eωq2\pi(q')=(\omega/\pi)^{1/2}e^{-\omega q'^2} is stationary.

  2. Multiply one interior row of Qϵ\mathsf Q_\epsilon by Cnm=rnm/(2ω)C_{nm}=r^{|n-m|}/(2\omega).

    Solution

    For nmn\neq m, set k=nm1k=|n-m|\geq1. The three terms are proportional to (1+r2)rkrrk1rrk+1=0(1+r^2)r^k-r\,r^{k-1}-r\,r^{k+1}=0. For n=mn=m, the bracket is (1+r2)2r2=1r2(1+r^2)-2r^2=1-r^2 times 1/(2ω)1/(2\omega); the prefactor 2ω/(1r2)2\omega/(1-r^2) makes the result one.

  3. Apply τ2+ω2-\partial_\tau^2+\omega^2 to eωτ/(2ω)e^{-\omega|\tau|}/(2\omega), including the origin.

    Solution

    Away from the origin the two terms cancel. The first derivative jumps from +1/2+1/2 on the left to 1/2-1/2 on the right, so its jump is 1-1. Distributionally, τ2C-\partial_\tau^2 C therefore contributes +δ(τ)+\delta(\tau).

  4. Replace the two endpoint vacuum wave functions by periodic identification qL=q0q_L=q_0 and one integration over that common coordinate. What object is computed?

    Solution

    Removing the compensating factor eE0Te^{E_0T}, the integrations form TreTH^\operatorname{Tr}e^{-T\widehat H} rather than 0eTH^0\langle0|e^{-T\widehat H}|0\rangle. If that factor is retained from the displayed vacuum measure, the result is eE0TTreTH^e^{E_0T}\operatorname{Tr}e^{-T\widehat H}; it cancels in a normalized source ratio. In either convention, normalized insertions give a thermal correlator at inverse temperature TT (with units restored), not the exact vacuum correlator at finite TT.

  5. Set one retained frequency to zero. Which steps fail first?

    Solution

    The proposed ground-state wave function becomes nonnormalizable, the stationary density disappears, and the covariance 1/(2ω)1/(2\omega) diverges. The zero mode needs a separate infrared definition before either side of the comparison is meaningful.