Bounded-distortion L1 embeddings of planar and bounded-treewidth graphs
Every planar road network can be redrawn in taxicab distance with stretch below one fixed number.
Distances along roads in a network can often be copied into taxicab distance, but usually with some stretch. These two papers prove that planar networks need only a bounded stretch, whatever their size or road lengths. Networks of bounded treewidth are close to trees in a precise sense. They need a stretch depending only on that closeness. This settles two cases of a conjecture published in 2004 by Gupta, Newman, Rabinovich and Sinclair (Lean proof listed).
The explanation
Picture two towns, A and B. Each has a 1 km road to the same three villages. Distances follow the roads. A village is 1 km from each town. The two towns are 2 km apart, through any village. Any two villages are also 2 km apart.
Now try to redraw this map on a city grid. On a grid you add up the blocks walked in each direction. This is taxicab distance. Mathematicians call it L1 distance, and they allow as many directions as needed. Some maps fit a grid perfectly. Four corners of a square block, 1 km per side, already sit on grid corners. The towns-and-villages map does not fit. A small computer calculation over all cuts settles the best drawing. Even the best grid drawing must stretch some distance by 4/3 relative to another. That factor is called the distortion. In the best drawing, each distance lies between its true value and 4/3 of it, after one overall rescaling.
Why this kind of grid? A taxicab distance is a sum of cuts. A cut splits the places into two sides. Each cut adds its weight to every pair it separates. For the square block, take one north–south cut and one east–west cut, each of weight 1. Neighbouring corners are split by one cut, so they sit 1 km apart. Opposite corners are split by both, so they sit 2 km apart. Cuts are also how bottlenecks in networks are measured. Picture pipes carrying several kinds of goods between different pairs of places at once. The tightest cut caps how much can flow. The real best flow can fall short of that cap. The ratio between the two is the flow–cut gap. Gupta, Newman, Rabinovich and Sinclair showed that the worst gap on a network equals its worst taxicab distortion.
The towns-and-villages map is planar: it can be drawn on paper with no roads crossing. In a 2004 paper, those four authors stated a broad conjecture. Take any proper minor-closed family of networks. Such a family stays inside itself when roads are deleted or shrunk to a point. It also leaves some network out. They predicted one fixed distortion for the whole family. It must not grow with the number of places or depend on road lengths. Planar networks form one such family. Networks of bounded treewidth form another.
Treewidth measures how tree-like a network is. Cover the places with small overlapping groups, called bags, arranged like the branches of a tree. Every road must fit inside some bag. The bag size needed says how tree-like the network is. The towns-and-villages map has treewidth two, the simplest case past trees.
Before these papers, the best general bound for planar maps still grew with size. Rao gave a bound of order the square root of log n, for n places, in 1999. Constant bounds existed only for special shapes. Gupta and coauthors proved the treewidth-two case. The best distortion there is exactly 2. Chakrabarti, Jaffe, Lee and Vincent gave the upper bound. Lee and Raghavendra gave the matching lower bound. Lee and Sidiropoulos handled bounded pathwidth, a stricter, path-like cousin of treewidth. Their route through random trees cannot reach all bounded-treewidth networks.
The one obstacle was scale. A large map has distances of many sizes. Close pairs and far pairs need different cuts. Each new layer of cuts can stretch short roads a little more. Over many scales, those small losses could pile up without limit. The planar paper makes its local cut rules agree exactly where neighbouring regions meetSource 1. It also narrows down which pairs still need work at each scale. The treewidth paper changes its random cuts in pairs, so the cut pattern on each bag stays the sameSource 2.
Together, the two papers prove these two cases of the conjecture. Grow the towns-and-villages map to millions of places, with wildly uneven roads. If no roads cross, a taxicab drawing exists with distortion below one universal numberSource 3Source 4. The same holds, with a number depending only on bag size, for networks of bounded treewidthSource 5. The theorems state that these numbers exist. The treewidth paper says it gives no explicit estimate for its numberSource 6. Through the earlier link, the flow–cut gap is also capped on these networks. The full conjecture stays open. The planar paper says the needed gluing of larger pieces is not establishedSource 7.
How sure is this? A computer proof checker called Lean has checked formal versions of both main theorems. One gives a single distortion bound for all finite connected planar networks with positive road lengths. The other gives a bound depending only on bag size, for networks with a tree decomposition. The flow–cut consequences and the other corollaries are outside that check. No specialists have published a review yet.
What it doesn't show. This does not prove the full Gupta–Newman–Rabinovich–Sinclair conjecture, and it gives no value for the planar constant.
Where it came from
This result comes from an unreleased OpenAI model, published in the openai/math release on 6 October 2026.
Hype check
Major if the proofs hold. Lean formalizations of both main theorems are listed. The flow–cut and other corollaries are not machine-checked. No constants are given, and no specialist review is published.
Words used
- L1 (taxicab) distance
- Distance found by adding up the differences in each coordinate separately, like walking city blocks.
- Distortion
- The largest factor by which a redrawing stretches some distance relative to another, after one overall rescaling.
- Cut
- A split of a network's places into two sides; it separates every pair on opposite sides.
- Planar network
- A network that can be drawn on paper with no two roads crossing.
- Treewidth
- A measure of how tree-like a network is, based on the size of overlapping groups arranged like a tree.
- Minor-closed family
- A family of networks that stays inside itself when roads are deleted or shrunk to a point.
- Flow–cut gap
- How far the best possible multi-pair flow in a network can fall short of the limit set by its tightest cut.
The original papers (2)
- Planar Graph Metrics Embed into L1 with Constant Distortion (PDF, opens in a new tab) September 23, 2026 Formal proof listed
- L1 Embeddings of Graphs of Bounded Treewidth (PDF, opens in a new tab) September 23, 2026 Formal proof listed
All quoted lines (7)
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For unrestricted planar metrics, two additional mechanisms provide the needed control: component separation limits which pairs need further updates, and interpolation makes local formulas agree exactly at their interfaces.
Planar Graph Metrics Embed into L1 with Constant Distortion Back to text -
The combined cut law on the bag is unchanged: successive threshold masses are affine in the ordered heights.
L1 Embeddings of Graphs of Bounded Treewidth Back to text -
We prove that every finite connected planar graph with arbitrary positive real edge lengths embeds into real with a universal distortion bound.
Planar Graph Metrics Embed into L1 with Constant Distortion Back to text -
The planar embedding conjecture asks whether one constant works for every planar graph metric, independently of the number of vertices and the edge lengths.
Planar Graph Metrics Embed into L1 with Constant Distortion Back to text -
The constant is independent of the number of vertices, the depth of the decomposition, and all ratios of edge lengths.
L1 Embeddings of Graphs of Bounded Treewidth Back to text -
The proof gives the existence of , without an explicit estimate for its dependence on .
L1 Embeddings of Graphs of Bounded Treewidth Back to text -
The general clique-sum closure required for the full GNRS conjecture is not established here.
Planar Graph Metrics Embed into L1 with Constant Distortion Back to text
Other sources
- A. Gupta, I. Newman, Y. Rabinovich and A. Sinclair, “Cuts, Trees and ℓ1-Embeddings of Graphs”, Combinatorica 24 (2004), 233–269
- S. Rao, “Small distortion and volume preserving embeddings for planar and Euclidean metrics”, SCG ’99 (1999), 300–306
- A. Chakrabarti, A. Jaffe, J. R. Lee and J. Vincent, “Embeddings of topological graphs: Lossy invariants, linearization, and 2-sums”, FOCS 2008, 761–770
- J. R. Lee and P. Raghavendra, “Coarse Differentiation and Multi-flows in Planar Graphs”, Discrete & Computational Geometry 43 (2010), 346–362
- J. R. Lee and A. Sidiropoulos, “Pathwidth, trees, and random embeddings”, Combinatorica 33 (2013), 349–374