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chiral-ring

An exactly solvable model of the arrow of time.

Left: one ring carries both chirality senses at once, watched by its recording witnesses (Paper I). Right: two rings sharing witnesses have their histories linked by what those witnesses write (Paper II).

Left (Paper I) — a single ring holds both chirality senses at once, spied on by its recording witnesses. Right (Paper II) — two rings sharing witnesses: what the shared records write links the two histories.

License: MIT Python 3.10+ Verification: machine precision

A three-site chiral ring — a time-reversal-odd pointer doublet — monitored by a bath of recording qubits. The dynamics is pure dephasing and conserves the ring chirality, so the whole model reduces to a two-branch (or, for several rings, a 2^M-branch) structure with closed forms for every observable: coherences, record distinguishability, entropy production, redundancy, concurrence.

Nothing here is a fit or an approximation. Every analytic claim is checked against brute-force state-vector evolution and against an independently recoded verification suite, at machine precision.


The two papers

This repository accompanies two papers.

Paper II builds on Paper I: src/multi/ imports the Paper-I closed forms and its unit tests confirm exact reduction to Paper I at M = 1.


Key results

Paper I. Under a branch-relative definition of entropy production, the irreversibility and the record content are the same quantity: ⟨σ⟩(t) = D(t) exactly (accumulated Kullback–Leibler record distinguishability). Polarization, redundancy and entropy production co-transition on one master curve; the pooled decoherence-to-polarization timescale ratio is t_P / t_S = 0.953 ± 0.005, and the data collapse holds at RMS residual 0.005.

Paper II (verdicts, with the number that decides each):

Conjecture Verdict Evidence
C1 total current objectifies, individuals don't (DFS) confirmed P_indiv = 0.50 (chance) vs P_total = 1.0
C2 additivity deficit = a multi-information reinterpreted deficit is a theorem: Δ = I(s₁;s₂|ξ) + C_bwd, verified to 1e-15; extensive Δ = 0.688·N (R² = 0.99995); I/Δ → 1/8 proven at leading order
C3 entanglement lives off the records confirmed concurrence C(t) monotone in relative distinguishability; C ≡ 1 in the decoherence-free subspace
C4 detailed fluctuation theorem confirmed ln[p(σ)/p(−σ)] slope = 1.00 ± 0.02
C5 arrow frustration under bath sharing resolved one arrow reverses at a disorder-stable threshold; at equal effort the F/M prescriptions are symmetric duals (f* ≈ 0.40)

The Paper-I data collapse survives bath sharing (RMS 0.018) and breaks only in the decoherence-free subspace (RMS 0.40) — the break is itself the signature of where records fail to form.

Full verdicts and figures: notes/paper2/results_multi.md.


Quick start

pip install numpy scipy matplotlib sympy

python src/verify_note.py          # Paper I: re-derives every analytic claim (~1 min)
python src/multi/verify_multi.py   # Paper II: independent from-scratch suite

Both print ALL CHECKS: PASS. verify_note.py runs six exact checks (time-reversal operator, forward/backward record laws, σ = 0 identity, integral fluctuation theorem, Bayes posterior); verify_multi.py verifies the deficit decomposition theorem, the 1/8 constant (symbolically, via sympy), and the sign survey — none of it importing the production code.


Reproducing the figures

Every figure regenerates from a fixed seed. Output lands in figures/paper1/ and figures/paper2/ automatically.

Paper I (from the repo root):

Figures Command
Figs. 1–3 (partial-info plots, co-transition, histograms) python src/run_baseline.py
Figs. 4–6 (collision protocol, finite-size scaling, collapse) python src/run_next.py
Figs. 7–9 (variant B, hysteresis, ratchet) python src/run_variantB.py
Error bars / disorder statistics (Fig. 5b, ~20 min) python src/errorbars.py

Paper II (from the repo root):

Figures Command
Scenarios (a)–(f): DFS, deficit, frustration, fluctuation theorem python src/multi/run_scenarios.py all
Phase diagram f*(t) (the paper's figure) python src/multi/run_phase_diagram.py
Exact deficit decomposition python src/multi/analyze_c2.py
Deficit scaling, collapse error bars, f* stability run_deficit_scaling.py, run_collapse_errors.py, run_fstar_stability.py

Repository layout

src/            Paper I — model, exact closed forms, trajectory protocols
  verify_note.py    six machine-precision checks of the analytic claims
src/multi/      Paper II — multi-ring extension
  model_multi.py    closed forms (imports Paper I; M=1 reduction is a unit test)
  brute_multi.py    brute-force state-vector validation (N=8)
  verify_multi.py   independent from-scratch verification suite
figures/
  paper1/  paper2/   generated figures, one folder per paper
notes/
  paper1/           model spec, backward-process derivation, manuscripts
  paper2/           multi-ring definitions + theorem, results & verdicts

Validation gates: exact reduction to Paper I at M = 1; brute-force agreement at N = 8; exact additivity (Δ = 0) for disjoint baths — all to machine precision.


Citation

@unpublished{lejri_chiralring_paper1,
  author = {Lejri, Mostfa},
  title  = {Fixation of a time-reversal-odd observable by decoherence:
            record distinguishability as the local arrow of time in an
            exactly solvable model},
  note   = {Manuscript under arXiv submission},
  year   = {2026}
}

@unpublished{lejri_chiralring_paper2,
  author = {Lejri, Mostfa},
  title  = {Collective irreversibility and arrow competition in shared
            quantum environments},
  note   = {In preparation},
  year   = {2026}
}

Author

Mostfa Lejri — Independent researcher — ORCID 0000-0002-0283-6069.

Both papers made extensive use of Anthropic's Claude as a research assistant; every analytic claim is checked by an independently recoded verification suite. See the manuscripts' acknowledgments.

Released under the MIT License.

About

Exactly solvable chiral-ring model of the arrow of time — decoherence, quantum Darwinism, entropy production

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