arXiv:2603.19717v3

Indistinguishability in One-or-Two-Ended Forests on Unimodular Random Graphs

Francois Baccelli, Ali Khezeli

math.PR60B9960G5537A2037A50

Abstract

Indistinguishability is a form of ergodicity, introduced by Lyons and Schramm for percolation clusters, that has become a fundamental notion in the theory of random infinite graphs. We prove the indistinguishability of connected components for a broad family of random one-ended or two-ended oriented forests on unimodular graphs using a new approach. We unify these models by introducing `coalescing Markov trajectories' (CMTs), which encompass a wide range of classical coalescing models, including river models and coalescing random walks. We also establish the indistinguishability of level-sets, a problem that has not previously been studied and lies beyond the scope of existing techniques. Using the latter, we prove that the clusters of the stationary voter model on a unimodular graph are indistinguishable. The core of the proof approach is the reduction of the indistinguishability of the components (respectively, level-sets) to the ergodicity (respectively, tail triviality) of the ancestry chain of the root. This shows a structural property that the ancestry chain is the fundamental object governing indistinguishability. For CMTs, the proof is completed by proving the tail triviality of Markov chains on unimodular random graphs, which is of independent interest. The flexibility of the approach is illustrated by further applications: It yields indistinguishability results for some point-map models on Bernoulli and Poisson point processes, including Howard's model and the strip point-map. It also yields a new and substantially simpler proof of indistinguishability for the wired uniform spanning forest, which is the only one-ended model for which indistinguishability was previously studied in the literature.

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Audited against arXiv v3

Not a correctness certificate. A “Correct” result may include yellow typos or minor formal corrections that do not affect substantive soundness. It means this audit found no unresolved substantive error under the stated criteria; it does not replace expert scrutiny or formal verification.

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Generated August 18, 2026
01Statements4 reported findingsCorrect

The central result clusters are supported. Theorems 1.4–1.6 prove component and level-set indistinguishability through ergodicity/tail triviality of ancestor chains. Proposition 1.2 identifies forest clusters with the finest stationary voter partition. Theorems 1.8, 1.10, 1.12 and Proposition 1.11 classify disconnected components and connectivity decay. Theorems 1.14, 1.16, and 1.17 give the deterministic-graph analogues under their additional hypotheses.

Theorems 1.4–1.6Correct

Indistinguishability of components and level sets

Pages 6–11 · Theorems 1.4–1.6 · arXiv:2603.19717v3

For the equivariant point maps and coalescing Markov trees covered by the printed unimodularity, balance, and irreducibility assumptions, Theorems 1.4–1.6 show that every rerooting-invariant component property is almost surely shared by all components, and likewise for the corresponding level sets. The ancestor-chain ergodicity and tail-triviality conclusions used in these statements are included with their precise hypotheses; the deterministic and unimodular cases are not conflated. Proposition 1.1's bijection transfers the relevant invariant sigma-fields exactly.

Proposition 1.2Correct

Voter-model cluster identification

Pages 6–7 and 28–31 · Proposition 1.2 · arXiv:2603.19717v3

Coalescing dual trajectories determine whether two sites eventually share the same ancestor. The finest stationary multicolor voter model assigns equal colors exactly to trajectories that coalesce, so its clusters coincide almost surely with the forest components. Stationarity follows from equivariance of the graphical construction. The identification is equality of equivalence relations, not only equality in distribution, which is sufficient for the later indistinguishability transfer.

Theorems 1.8, 1.10, 1.12 and Proposition 1.11Correct

Disconnectedness, component count, connectivity decay, and one-endedness

Pages 12–15 · stated results · arXiv:2603.19717v3

In Model 1, if the forest is disconnected then mass transport rules out finite multi-ended exceptional components, and Green-function decay forces each component to be one-ended. The number of components has the zero-one alternatives stated in Theorem 1.10. Proposition 1.11's two-point connection probability tends to zero in the disconnected regime, and this decay is then used—not assumed—to establish the one-ended conclusion in Theorem 1.12.

Theorems 1.14, 1.16, and 1.17Correct

Deterministic-graph analogues

Pages 15–17 · Theorems 1.14, 1.16, and 1.17 · arXiv:2603.19717v3

For a deterministic transitive graph, balance supplies the stationary root bias and weak irreducibility makes the ancestor chain communicate in the sense needed for steadiness. Theorem 1.16 proves steadiness rather than inserting it as an implicit assumption. The component and level-set conclusions of Theorems 1.14 and 1.17 then follow by the same invariant-sigma-field bijections, with the cycle-free and end hypotheses retained.

02Proofs3 reported findingsCorrect

Tail triviality, voter duality, and connectivity decay. The proof constructs equivariant bijections between forest components and between their level sets and verifies that they preserve the rerooting-invariant sigma-fields. Mass transport makes the ancestral Markov chain stationary from the correct biased root and excludes a finite exceptional class of components. Theorem 5.4 proves ergodicity of that chain, while Theorem 5.11 proves tail triviality under the stronger lattice assumptions; these supply Steps C3 and L3 instead of assuming indistinguishability. Pulling invariant events through the bijections then gives the component and level-set conclusions in Theorems 1.4–1.6.

Ancestor-chain and mass-transport analysisCorrect and complete

Tail triviality, voter duality, and connectivity decay

Pages 22–62 · Sections 3–10 · arXiv:2603.19717v3

The proof constructs equivariant bijections between forest components and between their level sets and verifies that they preserve the rerooting-invariant sigma-fields. Mass transport makes the ancestral Markov chain stationary from the correct biased root and excludes a finite exceptional class of components. Theorem 5.4 proves ergodicity of that chain, while Theorem 5.11 proves tail triviality under the stronger lattice assumptions; these supply Steps C3 and L3 instead of assuming indistinguishability. Pulling invariant events through the bijections then gives the component and level-set conclusions in Theorems 1.4–1.6.

Sections 3–4Correct and complete

Equivariant bijections and coalescing duality

Pages 22–38 · Sections 3–4 · arXiv:2603.19717v3

The component-to-level-set maps are defined intrinsically from the oriented ancestor relation and are measurable and equivariant. Their inverses are checked on every one- and two-ended case. The graphical construction of coalescing chains uses common randomness, so equality of voter colors is equivalent to eventual coalescence. These facts transfer invariant properties without changing null sets or root bias.

Sections 5–10Correct and complete

Markov-chain, mass-transport, and end-structure arguments

Pages 39–62 · Sections 5–10 · arXiv:2603.19717v3

Stationarity is obtained from the balance identity before ergodic theorems are applied. Shift-invariant events are pulled back to rerooting-invariant forest events, which unimodular ergodicity makes trivial; the tail proof adds the stated lattice assumptions. Separate mass transports rule out isolated exceptional ends, and the Green-kernel estimates make remote connection probabilities vanish. The one-ended and two-ended branches are treated separately, and the deterministic results invoke steadiness only after it has been proved.

03Novelty0 reported findingsNo non-novelty findings

No non-novelty findings.

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Paper
arXiv:2603.19717v3
Authors listed
Francois Baccelli, Ali Khezeli
Audit date
August 18, 2026
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