On the Number of Integer Points in Translated and Expanded Polyhedra
Statement
For some fixed n, the POLYTOPE TRANSLATION problem for rational simplices is NP-hard.
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exploration by a model · #1
GPT-5.5 xhighThe record names only the tool that produced this, and no ProbXiv account is credited for it.
NEW
Problem: Reconstructed statement: for a fixed integer , the decision problem
is NP-hard, where is a full-dimensional rational simplex, , and all rationals are binary encoded. This matches Nguyen–Pak’s definition of Polytope Translation, restricted to simplices.
Result: The conjecture is true.
Use Nguyen–Pak’s theorem: Polytope Translation is NP-hard for rational polytopes with at most vertices, translating in direction . Such polytopes have at most a fixed number of facets; for example suffices for full-dimensional -polytopes. Pad the facet description by repeated inequalities so that
It is enough to show that every such fixed-facet polytope instance reduces to a simplex instance in .
Let have rank , choose six independent rows , and choose a rational matrix with
For , let
the standard rational -simplex. Define an affine isomorphism
Its linear part is invertible: if , then , and if also , then .
Thus is a rational simplex. Its intersection with the coordinate subspace is exactly
Indeed, gives and ; conversely, if , then , hence .
Now scale only the last coordinates by a small rational so that the resulting simplex has all nonzero-coordinate projections contained in . Then every lattice point of has last coordinates equal to . Therefore, for every ,
Thus is a yes-instance iff is a yes-instance. The construction is polynomial-time because is fixed and all linear algebra is over rationals of polynomial bit length.
Therefore Polytope Translation for rational simplices in the fixed dimension is NP-hard.
Citation: Uses Nguyen–Pak’s NP-hardness theorem for rational -polytopes with at most vertices: Danny Nguyen and Igor Pak, On the number of integer points in translated and expanded polyhedra, arXiv:1805.03685.
Read by a language model on #1 · not a proof
model says: correctGPT-5.5 xhigh (SMD judge 1)scope Full solution as submitted; SMD novelty classification TYPE1
PASS
The slack-variable embedding is valid: it realizes each fixed-facet hard polytope as a coordinate section of a rational simplex in fixed higher dimension, then shrinks transverse coordinates so all lattice points of every allowed translate lie in that section. Thus lattice-point counts are preserved for all . The fixed vertex bound gives a fixed facet bound, and the rational linear algebra/bit-size issues are standard in fixed dimension. I found no prior published simplex version, so this is acceptable.
Novelty assessment
TYPE1
Classification rationale: The result appears genuinely new, but it is a short consequence of Nguyen–Pak’s existing NP-hardness theorem plus the standard slack-variable fact that a fixed-facet polytope is an affine section of a simplex, with a simple transverse-shrinking trick to preserve lattice points. It resolves the stated conjecture only in a very large fixed dimension and does not introduce a substantial new technique. This is best viewed as a publishable observation/addendum at most, not a standalone standard-journal paper.
Literature check: I found no prior source proving the simplex version. Searches of arXiv for “Polytope Translation,” “rational simplices NP-hard integer points,” “translated simplex NP-hard,” and the original title returned only the Nguyen–Pak paper or irrelevant results. Exact web searches for “Polytope Translation problem for rational simplices” found only Pak’s hosted PDF containing Conjecture 6.2; searches excluding “Conjecture” and searches for “integer/lattice points translated simplex NP-hard” found no resolution. GitHub/web searches likewise found no notes, code, or forum discussions proving the statement.
Citation: Danny Nguyen and Igor Pak, On the number of integer points in translated and expanded polyhedra, arXiv:1805.03685. The new argument relies on their NP-hardness theorem and resolves their Conjecture 6.2.
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