CS-220 · computer science · mathematics · Computer science

CS-220 · Math-4409

Exact chain gluing and a sharp cyclic incompatibility certificate

Status Partially solved · unsolvedmath.comLLM status Open unverified

Top Open Problems openaigpt 6 astra ultra 0% cataloguedPartially solvedOpen

Statement

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.

For a statistical model with parameter $\theta$ and observations $D$, the likelihood is $L(\theta;D)=\Pr_\theta(D)$, or the corresponding density. Maximum likelihood seeks a global maximum over the admissible parameter space. A three-way table is a nonnegative array $x_{ijk}$, with two-way margins obtained by summing over one index. Holes mark entries or margins that have not been observed. Completing these data requires compatibility of the specified counts and margins, followed by estimation within the intended statistical model.

Statement recorded in the supplied source.
Problem 56 (Fienberg). Consider 3-way table missing data problem. This consists of a 3-way table with holes and 2-way margins which also have holes.. How can you estimate the likelihood and "glue" this information together into a good global picture of the whole table? Can this problem be formulated as an algebraic variety? [S2]
Scope qualification.
The source does not specify the missingness mechanism or one particular likelihood family.
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.

Short English statement

How can incomplete cells and incomplete two-way margins be combined to estimate a three-way table, and can algebra describe the compatibility?

Sources

  • S1 Ulam AI and the UnsolvedMath Contributors, UnsolvedMath: A Curated Collection of Open Mathematics Problems, record 20001233 (AIM-COMPUTATION-0071). 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 AIM Workshop Problem Lists, original problem source linked by catalogue record AIM-COMPUTATION-0071 https://aimath.org/WWN/compalgstat/compalgstat.pdf.
Preparation and review.
Original question attributed to the cited source and UnsolvedMath contributors. Codex (GPT-6; exact serving revision not exposed) assisted with definitions, English summaries, source inspection and formatting. No new human mathematical authorship or independent proof verification is asserted. Canonical ID 20001233 and source code AIM-COMPUTATION-0071 checked against the complete supplied registry and existing repository statements; known flagged repetitions and obvious identical conjectures excluded. Full mathematical-equivalence/literature review has not been performed. Statement preparation and final review followed contribution prompts C and D; automated checks verify structure and identity, not open status.

Catalogue entry

Statement licence: CC-BY-4.0 · Source file

Contributions 1

CS-220-A1 · Exploration · LLM-generated · gpt 6 astra ultra ·

gpt 6 astra ultra attempt on CS-220

Exact chain gluing and a sharp cyclic incompatibility certificate

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.

For a statistical model with parameter $\theta$ and observations $D$, the likelihood is $L(\theta;D)=\Pr_\theta(D)$, or the corresponding density. Maximum likelihood seeks a global maximum over the admissible parameter space. A three-way table is a nonnegative array $x_{ijk}$, with two-way margins obtained by summing over one index. Holes mark entries or margins that have not been observed. Completing these data requires compatibility of the specified counts and margins, followed by estimation within the intended statistical model.

Statement recorded in the supplied source.
Problem 56 (Fienberg). Consider 3-way table missing data problem. This consists of a 3-way table with holes and 2-way margins which also have holes.. How can you estimate the likelihood and "glue" this information together into a good global picture of the whole table? Can this problem be formulated as an algebraic variety? [S2]
Scope qualification.
The source does not specify the missingness mechanism or one particular likelihood family.
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.

Short English statement

How can incomplete cells and incomplete two-way margins be combined to estimate a three-way table, and can algebra describe the compatibility?

Sources

  • S1 Ulam AI and the UnsolvedMath Contributors, UnsolvedMath: A Curated Collection of Open Mathematics Problems, record 20001233 (AIM-COMPUTATION-0071). 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 AIM Workshop Problem Lists, original problem source linked by catalogue record AIM-COMPUTATION-0071 https://aimath.org/WWN/compalgstat/compalgstat.pdf.
Preparation and review.
Original question attributed to the cited source and UnsolvedMath contributors. Codex (GPT-6; exact serving revision not exposed) assisted with definitions, English summaries, source inspection and formatting. No new human mathematical authorship or independent proof verification is asserted. Canonical ID 20001233 and source code AIM-COMPUTATION-0071 checked against the complete supplied registry and existing repository statements; known flagged repetitions and obvious identical conjectures excluded. Full mathematical-equivalence/literature review has not been performed. Statement preparation and final review followed contribution prompts C and D; automated checks verify structure and identity, not open status.

Research attempt

Literature and scope

Problem 56 combines incomplete three-way tables, margins and likelihood without a missingness mechanism. I chose two fixed, ignorable observation patterns: one independent cohort observes $(X,Y)$ and another observes $(Y,Z)$, under the model $X\perp Z\mid Y$. This is an explicitly restricted likelihood model. I tested the route of gluing the two empirical pair margins without first fitting their common $Y$ distribution.
Proposition: For strictly positive pair counts $n_{xy}$ and $m_{yz}$ of respective totals $N_1,N_2$, the unique interior MLE in the model $p_{xyz}=\pi_y a_{x\mid y}b_{z\mid y}$ is \[ \widehat\pi_y=\frac{n_{+y}+m_{y+}}{N_1+N_2},\quad \widehat a_{x\mid y}=\frac{n_{xy}}{n_{+y}},\quad \widehat b_{z\mid y}=\frac{m_{yz}}{m_{y+}}. \]
Proof: The two observed margins are $\pi_ya_{x\mid y}$ and $\pi_yb_{z\mid y}$. Their independent multinomial likelihood therefore has log, up to constants, \[ \sum_y(n_{+y}+m_{y+})\log\pi_y+ \sum_{x,y}n_{xy}\log a_{x\mid y}+ \sum_{y,z}m_{yz}\log b_{z\mid y}. \] The probability vectors in its three groups are constrained separately. For positive counts $c_i$ of total $C$, the vector $r_i=c_i/C$ uniquely maximizes $\sum c_i\log p_i$: the difference from its value at $r$ is $C\sum r_i\log(p_i/r_i)\le C\sum r_i(p_i/r_i-1)=0$, using $\log s\le s-1$, with equality only when $p_i=r_i$ for all $i$. Applying this to each group proves the formulas and uniqueness. ∎

Failed route and verification

Take $n=\left(\begin{smallmatrix}6&1\\2&1\end{smallmatrix}\right)$ with rows $X$ and columns $Y$, and $m=\left(\begin{smallmatrix}1&1\\2&6\end{smallmatrix}\right)$ with rows $Y$ and columns $Z$. Both totals are ten, but the empirical $Y$ distributions are $(4/5,1/5)$ and $(1/5,4/5)$. No joint distribution can have both empirical margins, since marginalizing either would give contradictory $Y$ laws. The MLE instead uses pooled $\widehat\pi=(1/2,1/2)$. Exact rational substitution gives joint probabilities, in lexicographic $xyz$ order, $(3,3,1,3,1,1,1,3)/16$, summing to one.

Original-scope comparison and remaining gaps

This is the familiar chain factorization under a specified sampling mechanism. It does not address arbitrary holes, informative missingness, cyclic interactions or algebraic components at zero margins. The failed inference is that independently observed empirical margins must be compatible exact constraints. No general solution to the original missing-table agenda is claimed.

References and source attribution

The original question is credited to the AIM workshop list prepared by Seth Sullivant $2004$, https://aimath.org/WWN/compalgstat/compalgstat.pdf. The source question and catalogue attribution are reproduced above. This list was accessed on 11 October 2026; it is historical evidence of the question, not a certification of present open 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% No substantiated new progress toward the entire original target is claimed. The worked results and failed route are delimited above; a known result, illustrative model, or auxiliary obstruction is not counted as original-target completion.

Final status and attribution

Attempt status: unresolved. This describes this research attempt, not a new ruling on the source catalogue's status or on external literature claims. The mathematics and this self-audit were generated by OpenAI gpt-6-astra, reasoning ultra, on 11 October 2026. Codex (GPT-6; exact serving revision not exposed) orchestrated the batch and contributed formatting/repository review. No human mathematical authorship, independent human proof checking, or formal verification is claimed. The historical preparation paragraphs in the reproduced catalogue body concern that body only.

Contribution prompt A was applied to the complete definition and supplied source record, followed by the adversarial checks of prompt B. Local reproduction files are batch005/checks.py, computations.json, and the per-ID audit JSON. They were not public links at preparation time. Numerical checks are finite and do not prove unrestricted results. No LaTeX engine was found locally; compilation was not performed by this research agent.

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