Optimization and approximation on systems of geometric objects
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Statement
We believe that results similar to Theorem 4.3.5 can be proved for intersection graphs of other scalable objects. In particular, we conjecture that similar techniques apply to intersection graphs of (unit) regular hexagons.
Context
Candidate 1 of the open problems stated in "Optimization and approximation on systems of geometric objects", extracted for the Scalable Mathematical Discovery run.
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NEW
Problem: Reconstructed statement: under the standard “scalable object” interpretation, a regular hexagon graph means an intersection graph of translates and positive homothetic copies of one fixed-orientation regular hexagon; “unit” means all scale factors are 1. The conjecture is:
If such graphs have polynomial-bit rational representations, then they have polynomial-bit rational representations that are polynomially separated, i.e. there is a polynomial such that every -vertex represented graph has a representation with margin at least between the intersection and non-intersection inequalities for every pair.
The source phrase “other scalable objects” supports fixed orientation and homothets; arbitrary rotations are a different formalization depending on angle encoding.
Result: The conjecture is true in this formalization.
Let be a fixed regular hexagon, written in hexagonal coordinates as
Define
Then , and for homothetic copies ,
because and .
Assume a representation has rational parameters of bit length at most . For each pair , put
with in the unit case. Since is the maximum of three rational linear expressions with polynomially bounded bit length, every positive gap
is at least , and all are at most .
Let
if nonedges exist. Choose rational
with bit length ; if there are no nonedges, take . Replace every center by
and keep the same radii.
Then
For every edge ,
so the edge inequality is strict with margin at least . For every nonedge,
Thus the new representation is polynomially separated. Its coordinates still have polynomial bit length. Taking gives a polynomial .
This proves polynomial representation implies polynomial separation for both regular hexagons and unit regular hexagons, in the fixed-orientation scalable-object sense.
Citation: No existing resolution is used here. Conjecture source: E. J. van Leeuwen, Optimization and approximation on systems of geometric objects, PhD thesis, University of Amsterdam, 2009, §4.3.1.
Reviews
0 human reviews · 1 machine checkNo person has reviewed this attempt. 1 machine check below — a machine check is not human verification.
Machine check · not human verification
machine: correctscope Full solution as submitted; SMD novelty classification TYPE1
PASS
For the fixed-orientation scalable-object interpretation, the proof is mathematically sound. The hexagon intersection condition reduces to the stated polyhedral norm inequality, rational positive slacks have polynomial lower bounds, and a small rational global contraction of centers makes all edge inequalities strict while preserving nonedges and polynomial bit length. The minor missing explicit condition is harmless by choosing . No stronger prior resolution was identified.
Novelty assessment
TYPE1
Classification rationale: The resolution is genuinely plausible but very minor. The proof is a short standard perturbation/contraction argument for fixed-orientation homothetic copies of a centrally symmetric rational polygon. It does not appear to require new combinatorial ideas, and it likely would not support a standalone paper.
Literature check: I found no evidence that the hexagon case itself has been explicitly resolved in the literature. Searches for combinations of “polynomial separation,” “polynomially separated,” “regular hexagons,” “unit regular hexagons,” “intersection graphs,” “scalable objects,” and “From Representation to Separation” did not reveal a paper, note, or survey containing this statement. The result is best viewed as an immediate/simple extension of the techniques suggested by van Leeuwen rather than a publishable new theorem.
Citation: E. J. van Leeuwen, Optimization and approximation on systems of geometric objects, PhD thesis, University of Amsterdam, 2009, §4.3.1.
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