First-passage percolation in random planar maps and Tutte's bijection
Pith reviewed 2026-05-25 16:50 UTC · model grok-4.3
The pith
First-passage percolation distance on random planar maps scales like a constant times the graph distance at large scales.
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
Core claim
In large random quadrangulations and general planar maps, the first-passage percolation distance obtained from i.i.d. edge lengths is shown to behave at large scales like a constant times the usual graph distance. The method also yields that the graph distances on the quadrangulation and on the associated general planar map under Tutte's bijection are equivalent when the number of faces or edges tends to infinity.
What carries the argument
The first-passage percolation distance, formed by summing i.i.d. random edge lengths along paths and taking the infimum, compared against the graph distance that simply counts edges.
If this is right
- The percolation and graph distances share the same scaling limit up to multiplication by that constant.
- Tutte's bijection preserves large-scale distances between the two map classes.
- The large-scale metric structure of these random maps is insensitive to the particular choice of i.i.d. length distribution, provided the scaling constant exists.
- Metric properties of the maps can be transferred between the quadrangulation and general-map models via the bijection.
Where Pith is reading between the lines
- The existence of the scaling constant for typical length distributions might allow explicit computation via the maps' generating functions.
- Similar equivalences could hold for other natural bijections between map classes or for maps with bounded face degrees.
- After suitable rescaling the percolation distances may converge to the same limiting metric space as the graph distances.
- The robustness result suggests that first-passage percolation on these maps inherits the same scaling limits already known for graph distance.
Load-bearing premise
The maps are sampled from the standard uniform or Boltzmann distributions on quadrangulations or general maps, and the i.i.d. edge lengths admit a positive finite scaling constant for the percolation distance.
What would settle it
A sequence of maps of increasing size in which the ratio between the first-passage percolation distance and the graph distance fails to converge to any positive constant.
Figures
read the original abstract
We consider large random planar maps and study the first-passage percolation distance obtained by assigning independent identically distributed lengths to the edges. We consider the cases of quadrangulations and of general planar maps. In both cases, the first-passage percolation distance is shown to behave in large scales like a constant times the usual graph distance. We apply our method to the metric properties of the classical Tutte bijection between quadrangulations with $n$ faces and general planar maps with $n$ edges. We prove that the respective graph distances on the quadrangulation and on the associated general planar map are in large scales equivalent when $n \to \infty$.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The manuscript claims that in large random planar maps sampled from the uniform or Boltzmann distributions (quadrangulations and general maps), the first-passage percolation distance with i.i.d. edge lengths is asymptotically equivalent to a constant multiple of the graph distance. It further claims that the graph distances on a quadrangulation with n faces and the associated general planar map with n edges under Tutte's bijection are asymptotically equivalent as n tends to infinity.
Significance. If the results hold, they extend existing knowledge on the metric properties of random planar maps from the unweighted graph-distance case to the first-passage percolation setting with random edge weights. The application to Tutte's bijection provides a direct link between the two models without introducing additional load-bearing assumptions beyond those already used for the FPP result. The reliance on standard models and the assumption that a scaling constant exists for the i.i.d. lengths is a strength, as it allows the work to build directly on established literature in the field.
minor comments (1)
- The abstract would benefit from a brief explicit statement of the distributions (uniform/Boltzmann) and the precise assumption on the edge-length distribution that guarantees the existence of the scaling constant.
Simulated Author's Rebuttal
We thank the referee for their positive report and recommendation to accept the manuscript.
Circularity Check
No significant circularity identified
full rationale
The paper's central claims rest on the standard uniform/Boltzmann distributions for random planar maps together with i.i.d. edge lengths (for which a scaling constant is posited to exist). The equivalence between first-passage percolation distance and graph distance, as well as the large-scale equivalence under Tutte's bijection, is derived from these model assumptions without any reduction of the target quantities to fitted parameters, self-definitions, or load-bearing self-citations. The derivation chain is self-contained against external benchmarks and does not exhibit any of the enumerated circularity patterns.
Axiom & Free-Parameter Ledger
axioms (2)
- domain assumption Random planar maps follow uniform or Boltzmann distributions on quadrangulations or general maps with n faces/edges
- domain assumption Edge lengths are i.i.d. random variables allowing a positive finite scaling constant to exist
Reference graph
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