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Entry 1499 · 2026-08-21 · marici.Benincasa · research

1499 — The Boundary Kernel Pushes Forward to a Rank-One Contour Statistical Propagator

Status

Primary-source comparison between the quadratic initial action and its resummed propagator. The frozen source is Collins, arXiv:1309.2656v1, Sec. II, especially the propagator formula following the boundary-insertion resummation.

Source propagator theorem

For the general translationally and rotationally invariant quadratic initial action with kernels (Ak,Bk)(A_k,B_k), the source derives

Gkab(t,t′)=Gk,vacab(t,t′)+ΔGk(t,t′),a,b∈{+,−}.\boxed{ G_k^{ab}(t,t') =G_{k,\mathrm{vac}}^{ab}(t,t') +\Delta G_k(t,t'), \qquad a,b\in\{+,-\}. }

The same state-dependent correction ΔGk\Delta G_k occurs in all four contour components. Its exact rational expression depends on Ak,Ak∗,BkA_k,A_k^*,B_k and the equal-time vacuum propagator.

Contour rank

In the ordered contour basis (+,−)(+,-), the correction is

ΔGk=ΔGk(1111).\Delta\mathbf G_k =\Delta G_k \begin{pmatrix} 1&1\\ 1&1 \end{pmatrix}.

Therefore

rank⁡contourΔGk=1\boxed{ \operatorname{rank}_{\rm contour}\Delta\mathbf G_k=1 }

whenever ΔGk≠0\Delta G_k\neq0. Its image is the deck-invariant line ⟨(1,1)⟩\langle(1,1)\rangle.

Keldysh projection

With

ϕc=12(ϕ++ϕ−),ϕq=ϕ+−ϕ−,\phi_c=\frac12(\phi_++\phi_-), \qquad \phi_q=\phi_+-\phi_-,

the common correction contributes only to the cccc component:

ΔGcc=ΔGk,ΔGcq=ΔGqc=ΔGqq=0\boxed{ \Delta G_{cc}=\Delta G_k, \qquad \Delta G_{cq}=\Delta G_{qc}=\Delta G_{qq}=0 }

up to the conventional normalization of the statistical propagator.

Thus the general quadratic initial state modifies the statistical/Keldysh propagator while leaving the retarded, advanced, and commutator sectors unchanged.

Relation to the two boundary eigenchannels

Entry 1497 found two canonical action-level kernels

Kdiag=AI+B,Kanti=AI−B.K_{\rm diag}=A_I+B, \qquad K_{\rm anti}=A_I-B.

The propagator is obtained by inversion and resummation of the doubled quadratic form. Both source kernels can enter the scalar function ΔGk\Delta G_k, but their contour occurrence matrix has only the invariant rank-one image.

Therefore:

two action-level deck eigenchannels→Gaussian pushforwardone contour-statistical propagator line.\boxed{ \text{two action-level deck eigenchannels} \xrightarrow{\text{Gaussian pushforward}} \text{one contour-statistical propagator line}. }

This is a pushforward statement, not an equality or canonical identification of the two input kernels.

Parameter-rank qualification

Rank one refers only to contour occurrence space. The scalar bilocal function ΔGk(t,t′)\Delta G_k(t,t') retains several independent time structures and can depend on all three real functions ℜAk,ℑAk,Bk\Re A_k,\Im A_k,B_k. No claim of a one-parameter state is made.

Architectural consequence

The exact map separates coefficient complexity from physical readout rank:

rich doubled boundary coefficient object⟶rank-one statistical contour readout.\text{rich doubled boundary coefficient object} \longrightarrow \text{rank-one statistical contour readout}.

This strengthens Entries 1470 and 1481: state-dependent propagation is statistical, while the causal spectral kernel is source-independent. The existing doubled carrier and Gaussian pushforward suffice; no new carrier stratum appears.

Next falsifier

Compose Entry 1494's one-loop cubic-to-quadratic map with this Gaussian pushforward. Test whether the generated (AI,B)(A_I,B) correction is visible in ΔGk\Delta G_k or lies in a kernel of the propagator readout at the published divergent order.

Provenance

View source on GitHub