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Complete any fixed bipartition to ; an uncolorable assignment stays uncolorable after adding edges. Suppose such an assignment exists with , and among bad four-list assignments on this complete bipartite graph choose one minimizing its palette size .
Every pair of palette colors occurs together in some list. Otherwise identify a pair that never cooccurs. No list shrinks, and any proper coloring from the merged lists lifts to the original lists: the preimage at each vertex is unique, and distinct merged colors have distinct original colors. This contradicts palette minimality. Pair counting and then counting cooccurrences with each fixed color give
For a palette subset of size , one can color using on the left and its complement on the right if every left list meets and no right list is contained in . A bad assignment therefore covers every such by a left list it misses or a right list it contains. Counting, with out-of-range binomial coefficients equal to zero, yields
Add the inequality with in place of to obtain
These arguments are the palette-merging and covering method of Hanson–MacGillivray–Toft, Lemmas 1–3 and Theorem 1, pp. 184–187. The required specializations have been proved above rather than left as an uninspected source premise.
If , partition the palette into two parts of size at most three. Every four-list meets both, giving a coloring with separate palettes on the two sides. Thus . Inequality (1) and give . In (2) put . Division by its positive coefficient gives:
| 7, 8 | 9, 10 | 11, 12 | 13, 14 | 15, 16 | 17 | |
|---|---|---|---|---|---|---|
| lower bound on | 70 | 42 | 33 | 26 |
All are excluded. At , the incidence inequality in (1) gives , so too. This contradiction proves the claim. The exact arithmetic checker recomputes this table and the incidence bounds; the counting argument is what makes those finite palette cases exhaustive.