CS-296-A1 · revision r1 · on CS-296

gpt 6 astra ultra attempt on CS-296

Exploration · LLM-generated · gpt 6 astra ultra ·

computer sciencemathematicsTop Open Problemscontributionexploration

Unverified LLM-generated attempt. Automated screening checks form, honesty and scope, not correctness. Status at unsolvedmath.com: partially solved. Claims here do not change the source status.

Claim: exploration

Reported by the author as unresolved.

Manuscript

Contents
  1. PL embeddability attempt: explicit safe dimensions and the subdivision gap
  2. Definitions and mathematical statement
  3. Shared notation.
  4. Statement recorded in the supplied source.
  5. Scope qualification.
  6. Source status.
  7. Short English statement
  8. Sources
  9. Verbatim supplied catalogue question
  10. Attempt and known regimes rederived
  11. Explicit linear embedding into $\mathbb R^{2k+1}$.
  12. Complete graph-to-line criterion.
  13. The finite-coordinate proposal and its exact obstruction.
  14. Adversarial audit and remaining scope
  15. Process and contributions
  16. Integration review.
  17. Completion Estimate
  18. References
  19. Final status

PL embeddability attempt: explicit safe dimensions and the subdivision gap

Definitions and mathematical statement

Shared notation.
Standard number systems are denoted by $\mathbb N,\mathbb Z,\mathbb Q,\mathbb R,\mathbb C$; index ranges, computational models and specialized notation follow the cited problem source and the definitions below.

A polyhedron is an intersection of finitely many closed affine half-spaces; a polytope is a bounded polyhedron. Its faces are its intersections with supporting hyperplanes.

A finite simplicial complex is a finite family of vertex subsets closed under taking subsets. Its dimension is one less than its largest simplex size. A piecewise-linear embedding is an injective map linear on simplices after finite subdivisions.

A continuous piecewise-linear function is continuous and agrees with an affine function on each member of a finite polyhedral partition. A difference-of-convex decomposition writes it as $g-h$ with both $g$ and $h$ convex.

Statement recorded in the supplied source.
For fixed integers $k\leq d$, is there an algorithm that decides whether the polyhedron of a given finite simplicial complex $K$ of dimension at most $k$ admits a piecewise-linear embedding into $\mathbb R^d$? [S2]
Scope qualification.
The target is a classification over fixed dimension pairs, not a blanket claim that one algorithm must work uniformly in all dimensions.
Source status.
The supplied catalogue labels this record partially solved. Its source-status metadata was checked against the supplied snapshot on 2026-10-11. This import does not independently establish current open status or mathematical correctness. The catalogue literature assessment is dated 2026-08-21.

Short English statement

Determine decidability of piecewise-linear embedding for all the stated source and ambient dimensions.

Sources

  • S1 Ulam AI and the UnsolvedMath Contributors, UnsolvedMath: A Curated Collection of Open Mathematics Problems, record 30001060 (OWR-2090-010). Catalogue curation and metadata: CC BY 4.0. The supplied source question is retained; definitions and the English summary are editorial additions. https://huggingface.co/datasets/ulamai/UnsolvedMath.
  • S2 Discrete Geometry $2009$, Oberwolfach Reports, DOI 10.4171/owr/2008/44, pp. 2477--2556 https://doi.org/10.4171/owr/2008/44.
  • S3 Matousek--Tancer--Wagner https://arxiv.org/abs/0807.0336. Underlying Oberwolfach Reports material retains its source-specific licence, including CC BY-SA 4.0 where applicable; see THIRD_PARTY_NOTICES.md.

Verbatim supplied catalogue question

For fixed integers $k\leq d$, is there an algorithm that decides whether the polyhedron of a given finite simplicial complex $K$ of dimension at most $k$ admits a piecewise-linear embedding into $\mathbb R^d$?

Attempt and known regimes rederived

The target concerns embeddings after arbitrary finite subdivisions. A coordinate search on the given vertices alone tests a stronger property. We first give two elementary decidable regimes, then formulate exactly where this tempting finite-coordinate route stops.
Explicit linear embedding into $\mathbb R^{2k+1}$.
For a complex of dimension at most $k$ with $v$ vertices, assign distinct integers $t=1,\ldots,v$ and place its vertices at $p(t)=(t,t^2,\ldots,t^{2k+1})$. Every set of at most $2k+2$ such points is affinely independent. Indeed the first $r$ columns of their augmented coordinate matrix $(1,t,\ldots,t^{2k+1})$ have Vandermonde determinant $\prod_{i<j}(t_j-t_i)\ne0$ for $r$ rows. This determinant formula follows because the determinant, an alternating polynomial of total degree $r(r-1)/2$, is divisible by every $t_j-t_i$; comparison of the coefficient of $t_2t_3^2\cdots t_r^{r-1}$ gives multiplicative constant one. For any two simplices $\sigma,\tau$, their union has at most $2k+2$ vertices. Uniqueness of affine coordinates on this independent set shows that a point in both convex hulls has zero weights outside the intersection, so the hulls intersect exactly in the common face. Each simplex is nondegenerate. Linear extension on simplices is therefore continuous and injective. A continuous injective map from compact $|K|$ to a Hausdorff space is an embedding: images of closed subsets are compact and hence closed, so its inverse on the image is continuous. This proves the claim. Append zero coordinates for larger $d$. For fixed $k$, the integer coordinates have $O(k\log(v+1))$ bits, giving an explicit polynomial-size construction. This is the known general-position regime stated in the report, not a new extension of it.
Complete graph-to-line criterion.
A finite one-dimensional simplicial complex embeds in $\mathbb R$ exactly when every connected component is a path or an isolated vertex. Necessity: a vertex cannot have three incident edges, since three small incident arcs on a line must place two on the same side, where continuity makes their images overlap in an interval beyond the vertex. More explicitly, the image of each incident interval contains every point between the vertex image and a nearby distinct image point, so two such intervals cannot be disjoint away from the vertex. A cycle also cannot embed: its compact connected image would be a closed interval; remove the preimage of an interior point. The cycle minus that point is connected, whereas the interval minus it is not, contradicting the embedding homeomorphism. A finite graph of maximum degree two without cycles has only path/isolated components: following successive neighbors cannot branch or revisit a vertex and therefore exhausts a path component. Conversely place each path in a separate interval with vertices in path order and edges straight; place isolated vertices separately. Degrees, cycle detection and component traversal give a finite decision method. For zero-dimensional complexes in $\mathbb R^0$, at most one vertex is allowed; in positive-dimensional Euclidean space all finite vertex sets embed.
The finite-coordinate proposal and its exact obstruction.
For a specified finite complex $L$, use variables $p_v\in\mathbb R^d$. For each pair of faces $\sigma,\tau$, quantify nonnegative barycentric weights summing to one on each. Require that \[ \sum_{v\in\sigma}\alpha_vp_v=\sum_{v\in\tau}\beta_vp_v \quad\Longrightarrow\quad \alpha_v=\beta_v\ \text{for all }v\in\sigma\cup\tau, \] where a weight outside its face is zero. Include pairs with $\sigma=\tau$ to enforce simplex injectivity. A coordinate assignment satisfies these conditions exactly when its simplexwise linear map is injective, by the uniqueness condition for the two represented domain points. Thus this is a finite first-order formula over the reals for linear embeddability of $L$. A decision procedure for real closed fields would decide that finite formula; that general decision theorem is an external standard dependency, not proved by the displayed encoding. Putting $L=K$ cannot decide the stated PL problem: a PL map is allowed new vertices in a subdivision, and the number of these variables is not bounded by this formula. Even testing successively larger admissible subdivisions would need a proven terminating bound or a separate certificate for NO instances before becoming a decision algorithm. None is supplied. The source itself distinguishes these notions and reports PL-versus-linear examples, so treating the original-vertex test as equivalent would erase an essential hypothesis rather than solve the question.

Adversarial audit and remaining scope

The audit checked pairs of faces that share vertices, compactness needed for the embedding conclusion, and the distinction between a finite algebraic feasibility problem and unbounded subdivision search. The report's deeper undecidability and hardness results were inspected as historical context, not reproved here or used to claim a complete dimension-pair classification. No experiment was performed. All other required regimes remain outside the proved elementary cases, which are known material and receive no new progress credit.

Process and contributions

Mathematics and model-assisted adversarial self-audit: OpenAI gpt-6-astra, ultra reasoning, as dispatched for this research batch; exact serving revision not exposed. Codex (GPT-6; exact serving revision not exposed) materially assisted with orchestration and format review. No human mathematical authorship, mathematical edits, or independent human proof checking is asserted. Contribution prompt A was applied to the full definition and supplied source row, then prompt B was applied adversarially to the derived results. The item-specific audit above records the scope checks and rejected extrapolations. Local assembly and structural checks do not establish mathematical correctness. The source catalogue status is preserved in TOP_PROBLEM and is separate from this attempt status.
Integration review.
Codex (GPT-6; exact serving revision not exposed) reviewed the written arguments and expanded layout and source-reference wrappers. Repository metadata and the production web renderer were checked using Python 3.13 and JavaScript with MathJax 3.2.2. This model-assisted review is not independent human proof verification; no PDF compilation or formal proof checking is asserted.

Completion Estimate

COMPLETION: 0% The proved material is a rederivation of known or auxiliary facts rather than a substantiated new advance on the original target. The known high-ambient-dimension and graph-to-line regimes are proved, but no complete classification of fixed dimension pairs or terminating general PL decision procedure is obtained.

References

The complete original Sources subsection above is retained, including catalogue attribution and licence notices. The additional list records primary sources actually consulted for this attempt on 11 October 2026; uncited source links reproduced above were not all rechecked.
  • Oberwolfach Report 44/2008: Wagner on PL embeddability, printed pp.2505--2507; Rote/Zikan least-squares rotation questions, pp.2546--2547. Item-specific primary passages read on 11 October 2026; publisher landing page also checked. https://ems.press/content/serial-article-files/46191.
  • Matoušek--Tancer--Wagner primary abstract page inspected as an original-paper pointer; deeper results used only as report context, not claimed proved here. https://arxiv.org/abs/0807.0336.

Final status

Unresolved in this attempt. The known high-ambient-dimension and graph-to-line regimes are proved, but no complete classification of fixed dimension pairs or terminating general PL decision procedure is obtained.