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Initial Density Matrices and Contour Boundary Conditions

An initial density matrix is a boundary interaction at t0t_0. Its quadratic part fixes the Gaussian mean and covariance; higher boundary vertices encode connected non-Gaussian cumulants. These data survive through retarded propagation and memory kernels, so a bulk action alone never specifies a nonequilibrium problem.

Required background. Use the closed-time-path generating functional for branch orientation and source signs.

Helpful background. Initial correlations in Kadanoff–Baym evolution shows how boundary cumulants enter later two-time equations.

Boundary action and density-matrix constraints

Section titled “Boundary action and density-matrix constraints”

In the field basis write

φ+ρ0φ=NeiS0[φ+,φ].\langle\varphi_+|\rho_0|\varphi_-\rangle =\mathcal N e^{iS_0[\varphi_+,\varphi_-]}.

S0S_0 is localized at t0t_0 and can be expanded in r/ar/a fields. Hermiticity requires

S0[φ+,φ]=S0[φ,φ+],S_0[\varphi_+,\varphi_-]^*=-S_0[\varphi_-,\varphi_+],

while trace normalization fixes Dφφρ0φ=1\int\mathcal D\varphi\,\langle\varphi|\rho_0|\varphi\rangle=1. Positivity is stronger: for every wave functional Ψ\Psi, Ψρ0Ψ0\langle\Psi|\rho_0|\Psi\rangle\ge0. The Schwinger–Keldysh identity S0[φ,φ]=0S_0[\varphi,\varphi]=0 follows from normalization structure but does not by itself prove positivity.

For one oscillator, a general centered Gaussian state is specified by

Cqq=q2,Cpp=p2,Cqp=12{q,p},C_{qq}=\langle q^2\rangle, \qquad C_{pp}=\langle p^2\rangle, \qquad C_{qp}=\frac12\langle\{q,p\}\rangle,

with

CqqCppCqp214.C_{qq}C_{pp}-C_{qp}^2\ge\frac14.

The inequality is the positivity test. These three numbers give F(t0,t0)F(t_0,t_0), tFt0\partial_tF|_{t_0}, and ttFt0\partial_t\partial_{t'}F|_{t_0}; the commutator fixes the corresponding ρ\rho data independently.

Gaussian kernels and non-Gaussian vertices

Section titled “Gaussian kernels and non-Gaussian vertices”

A convenient quadratic boundary action has the schematic form

S0(2)=ddxddy[φa(x)KR(x,y)φr(y)+i2φa(x)KK(x,y)φa(y)],S_0^{(2)}=\int d^d\mathbf x\,d^d\mathbf y \left[ \varphi_a(\mathbf x)K_R(\mathbf x,\mathbf y)\varphi_r(\mathbf y) +\frac{i}{2}\varphi_a(\mathbf x)K_K(\mathbf x,\mathbf y)\varphi_a(\mathbf y) \right],

plus linear terms for the mean. KRK_R controls phase-space correlations and KKK_K the statistical width; their relation to Cqq,Cpp,CqpC_{qq},C_{pp},C_{qp} depends on the chosen field basis and normalization. There is no pure rrr r term, consistently with S0[φr,φa=0]=0S_0[\varphi_r,\varphi_a=0]=0.

Connected initial nn-point functions require boundary vertices; their role in restoring the interacting equilibrium limit is shown in Garny and Müller 2009, §§ II–IV:

S0(n)=1n!αna1anφa1φan,n3.S_0^{(n)}=\frac{1}{n!}\int\alpha_n^{a_1\cdots a_n} \varphi_{a_1}\cdots\varphi_{a_n},\qquad n\ge3.

Every time argument is t0t_0. A Z2\mathbb Z_2-symmetric state has no odd vertices but can have a nonzero connected four-point kernel. Treating such a state as Gaussian changes early-time collision terms even if its two-point function is matched exactly.

The map below organizes the dependencies of a late-time response. Four solid arrows carry the declared state, boundary correlations, sources, and memory kernel into the observable; the dashed arrow marks the separate test required before claiming loss of memory.

Four solid arrows carry a normalized positive initial density matrix, non-Gaussian boundary correlations, external sources, and finite-time self-energy memory into a central late-time response; a dashed arrow then leads to an observable- and timescale-specific memory-loss test.

The solid arrows identify data on which the response calculation can depend, while the dashed outgoing arrow separates the calculated response from a later memory-loss claim. The initial density matrix fixes normalization, positivity, and boundary kernels, while non-Gaussian cumulants require additional contour vertices. Factorization or Gaussianity removes specific inputs only when imposed and checked; neither implies late-time loss of memory. The diagram is schematic and not to scale.

The sections Boundary action and density-matrix constraints, Gaussian kernels and non-Gaussian vertices, and Preparation protocols and failure tests give the text and equation equivalent of the upper dependencies and their checks.

For a pure squeezed oscillator state with squeeze parameter rr and angle chosen so Cqp=0C_{qp}=0,

Cqq=e2r2ω,Cpp=ωe2r2,CqqCpp=14.C_{qq}=\frac{e^{2r}}{2\omega}, \qquad C_{pp}=\frac{\omega e^{-2r}}{2}, \qquad C_{qq}C_{pp}=\frac14.

It saturates the uncertainty bound for every rr. Calling CqqC_{qq} a thermal occupation would be wrong: field and momentum variances correspond to different effective energies. Free evolution rotates the squeezed ellipse and preserves its determinant, so unequal-time FF retains the phase information.

By contrast, a thermal oscillator has Cqq=(nB+1/2)/ωC_{qq}=(n_B+1/2)/\omega, Cpp=ω(nB+1/2)C_{pp}=\omega(n_B+1/2), and determinant (nB+1/2)2>1/4(n_B+1/2)^2>1/4. The two states can share one equal-time variance but not the full covariance.

An imaginary-time segment prepares a thermal or Euclidean-correlated state. An adiabatic source prepares a different state and requires a scale separation. A sudden quench is a physical protocol, not a numerical convenience; it injects energy and high-frequency correlations. A finite switch-on must be included in the source history.

Test the state by:

  • verifying trace, Hermiticity, and covariance positivity before evolution;
  • checking its ultraviolet tail against the renormalized vacuum behavior;
  • moving t0t_0 while keeping the actual preparation protocol fixed;
  • adding the first omitted connected cumulant; and
  • evolving a purported interacting equilibrium state without a quench—any drift is an inconsistency or numerical error.

Two Gaussian states have the same CqqC_{qq} but different CppC_{pp}. Can they generate the same future F(t,t)F(t,t') for a free oscillator?

Solution

No. The solution contains Cqqcosω(tt0)cosω(tt0)C_{qq}\cos\omega(t-t_0)\cos\omega(t'-t_0), Cppsinω(tt0)sinω(tt0)/ω2C_{pp}\sin\omega(t-t_0)\sin\omega(t'-t_0)/\omega^2, and terms proportional to CqpC_{qp}. Equal field variance fixes only the first coefficient. The momentum variance and cross covariance are independent initial data subject to the uncertainty inequality.

Use unitarity and largest-time identities to constrain allowed boundary vertices, then follow their dynamical contribution on initial correlations in Kadanoff–Baym theory.

  • Chou, K.-C., Su, Z.-B., Hao, B.-L., and Yu, L. (1985). “Equilibrium and Nonequilibrium Formalisms Made Unified.” Physics Reports 118, 1–131. DOI.
  • Garny, M., and Müller, M. M. (2009). “Kadanoff–Baym Equations with Non-Gaussian Initial Conditions: The Equilibrium Limit.” Physical Review D 80, 085011. arXiv:0904.3600; DOI.