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de Sitter Infrared Physics and Stochastic Inflation

Light fields in de Sitter spacetime can accumulate long-wavelength fluctuations over time. Infrared resummation and stochastic inflation organize that accumulation in specified regimes, with state choice and the order of limits kept explicit.

Begin with de Sitter Infrared Regimes: States, Observables, Gauges, and Limits to identify the field, state, observable, and infrared limits of the calculation.

Helpful background. Langevin Field Equations and Noise and System–Environment Splits and Influence Functionals develop the definitions used by the chapter’s opening pages.

  1. de Sitter Infrared Regimes: States, Observables, Gauges, and Limits — Fixes patches, observables, regulators, and limit order.
  2. Euclidean and Bunch–Davies Free Fields in de Sitter — Derives the standard massive scalar state.
  3. Massless Zero Modes and the Invariant-State Obstruction — Isolates the minimally coupled obstruction and restricted observables.
  4. Interacting Infrared Logs and Secular Regimes — Identifies perturbative nonuniformity by object and symmetry.
  5. Graviton Infrared Claims and Relational Observables — Tests coordinate correlators against relational observables.
  6. Infrared Resummation and Dynamical Mass — Compares large-N, stochastic, and diagrammatic mass scales.
  7. Stochastic Coarse-Graining and Its Derivation from QFT — Derives drift and noise from a moving split.
  8. Langevin and Fokker–Planck Dynamics — Fixes calculus, measure, moments, and normalization.
  9. Open-System Noise and Dissipation in de Sitter — Restores colored noise, memory, and influence kernels.
  10. Stationary Distributions and First-Passage Observables — Imposes current and boundary conditions.
  11. QFT–Stochastic Matching and Renormalization — States the renormalized observable subset that agrees.
  12. Quasi-de Sitter Validity and Evidence Status — Separates slow-variation, finite-duration, and evidence errors.

A moving separation between short and long wavelengths transfers fluctuations into a coarse-grained field. In suitable scalar regimes this yields a stochastic equation and a probability evolution that can resum leading infrared effects Starobinsky and Yokoyama 1994, §§ II–III.

A stationary probability distribution requires normalizability and compatible boundary conditions. Its existence does not settle a finite-duration slow-roll problem, a massless zero-mode obstruction, or a gravitational gauge question. Matching stochastic observables to renormalized QFT and controlling the late-time limit remain independent tasks.

The comparison below separates the assumptions and tests needed for these different conclusions.

ProblemPatch, state, and objectRegulator or splitControlled outputDecisive checkFailure or further method needed
Infrared classificationDeclared patch, state, field or local compositeMass, volume, or invariant prescriptionLimit-specific correlatorExchange limit orderNoncommuting limits forbid a universal statement
Massive free fieldEuclidean/BD state, M2>0M^2>0Euclidean continuation and i0i0Hadamard Wightman functionCanonical jump and coincidence formDoes not cover the minimal massless zero mode
Minimal zero modeGlobal mode algebra or shift-invariant subalgebraSmall mass and finite volume kept distinctDerivative or difference observablesRegulator agreement on the same algebraNo standard invariant Fock vacuum for ϕ\phi
Interacting logsSpecified in-in observable and interactionUV subtraction plus declared IR regulatorFixed-order secular intervalCompare λNp\lambda N^p with unityA large log signals nonuniform perturbation, not automatically instability
Graviton infraredGauge, dressing, finite operational regionResidual-gauge and smearing prescriptionRelational or curvature observableGauge/dressing comparisonCoordinate two-point growth alone is insufficient
Resummed scalarCoupling, NN, mass, equal- or unequal-time objectLarge-N, 2PI, stochastic, or RG schemeMethod-specific infrared scaleTranslate conventions and observablesEqual-time agreement does not prove universal dynamics
Coarse-grained scalarBD-like short modes and window W(k/kc)W(k/k_c)kc=ϵaHk_c=\epsilon aH with hierarchyLeading drift and noiseWindow variation after matchingWhite noise is not exact for a smooth split
Fokker–Planck evolutionField coordinate, measure, Itô/Stratonovich choiceTime step and field gridNormalized moments or densityDrift conversion and ensemble agreementConvention-dependent density is rejected
Open-system correctionDeclared system/environment and initial stateInfluence kernels and correlation timeNoise, dissipation, memoryMarkov hierarchy and covariance positivityKMS fluctuation–dissipation is not generic
Stationary or first passageFixed HH, normalizable current condition, boundariesAbsorbing/reflecting domainEquilibrium density or hitting distributionRelaxation and boundary variationNo volume-weighted eternal-inflation measure claim
QFT matchingSame renormalized in-in observable and orderUV scheme plus stochastic matching scaleLeading-IR equality for a stated subsetUnequal-time and gradient testsOne variance does not establish full-theory equivalence
Quasi-de Sitter transportH(t)H(t), slow parameters, state, durationLocal window and time-dependent matchingFinite-time prediction with two errorsVary duration and formalismExact-de Sitter equilibrium may never be reached

Continue to Cosmological Analyticity and Bootstrap to distinguish wavefunction coefficients, in/in correlators, and scattering amplitudes.

  • Starobinsky, A. A., and J. Yokoyama, “Equilibrium State of a Self-Interacting Scalar Field in the de Sitter Background,” Physical Review D 50, 6357–6368 (1994), doi:10.1103/PhysRevD.50.6357.