Rote’s rotation-assignment open problem

Given two centered planar nn-point sets represented by complex numbers x1,…,xn,y1,…,yn∈Cx_1,\ldots,x_n,y_1,\ldots,y_n\in\mathbb{C} with ∑i=1nxi=∑i=1nyi=0\sum_{i=1}^n x_i=\sum_{i=1}^n y_i=0, define the permutation polygon P(X,Y)=conv⁡{zσ:σ∈Sn}P(X,Y)=\operatorname{conv}\left\{z_\sigma:\sigma\in S_n\right\}, where zσ=∑i=1nxi‾yσ(i)z_\sigma=\sum_{i=1}^n\overline{x_i}y_{\sigma(i)}. Determine the maximum possible number of vertices of P(X,Y)P(X,Y) as a function of nn. The claimed sharp answer is n(n−1)n(n-1) for every n≥2n\ge 2: every such polygon has at most n(n−1)n(n-1) vertices, and equality is attainable.

References

Primary source

arXiv

Additional references

Progress summary

Refreshed
Claimed solved

A new paper claims to solve Rote’s problem by giving an exact bound and a global reconstruction method, but the claim has not been independently checked.

Rote’s problem is a specialized combinatorial-geometry question about determining the maximum number of relevant polygon vertices and replacing local optimization with a global assignment procedure.

October 2026 global-solution claim

Bhattacharjee, Campbell, and Shome’s paper Rubix: Global Correspondence-Free Point Set Alignment through Assignment Geometry claims the exact maximum and an assignment-based reconstruction algorithm, which would resolve the problem. The proof and implementation have not been independently assessed.

Current status (as of October 2026): A complete solution is claimed in a recent paper, but the result remains unverified; absent confirmation, the problem should be treated as open.

Sources

Solutions 0

No solutions have been posted yet.