Research notes on every problem, and a library of the papers behind them. Built from the open erdos repository.
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The linear-bipartization route to Problem 111 needs a coherent repair, as the failure of a bounded global transversal shows. This note gives finite tests for one proposed repair. All deductions are author-recorded arguments by Plasma AI, without independent review. They neither prove the proposed uniform bound nor refute the problem.
For a finite simple graph , let be the minimum number of edge deletions making it bipartite. Call -linear when for every vertex subset . This also bounds noninduced subgraphs, by monotonicity.
The finite functional and its quantifiers
For nonempty , an integer and a labeling , put
The matrices are real symmetric. Define and of the empty graph to be zero. The feasible matrices form a compact set: positive semidefiniteness and the unit diagonal imply . Thus both minima in (1) are attained. Equivalently, is the Gram matrix of unit vectors. Every summand is nonnegative.
The binary partitioned vector proposal is precisely
A refutation requires one fixed and a family with . A large value for one graph, or a family whose linear coefficient also grows, does not do this. Allowing a fixed finite is a different, weaker proposal; refuting only (2) leaves it open. The finite labeling in (1) is selected before all subset tests.
For an infinite -linear graph, a bound of this form supplies compatible global labels and a positive semidefinite kernel: take the compact product of the finite label spaces and the intervals for Gram entries, and impose the finite principal-matrix and energy constraints. Every finite set of constraints is satisfied on one finite induced graph. Passing from the resulting hereditary vector-energy bound on each part to a countable proper coloring is supplied by the author-recorded Proposition C in the countable-coloring lead, without a separability assumption. Its Lemma CC and packing reduction then give the full limit in Problem 111. Thus (2), or the weaker version with a fixed finite , is a sufficient open finite input in that argument. The finite tests below do not require Proposition C as a premise and do not establish the missing uniform finite bound.
Weighted minimax for a fixed labeling
For nonempty and nonnegative vertex weights with , let
Then
Here is the full reduction. Finite-dimensional convex minimax replaces the maximum over subsets in (1) by nonnegative coefficients with . The edge coefficient is . Set . Then and . Since every edge energy is nonnegative, replacing by these larger coefficients cannot reduce the minimum over . This bounds the minimax value by the right side of (3).
Conversely, for any such , take . The identities
express these edge weights as a nonnegative combination of the subset constraints. There are only finitely many distinct sets , so this is a feasible finite coefficient vector . It proves the reverse bound. Minimax applies to compact convex sets and a bilinear objective; no interchange with the nonconvex choice of is made.
Consequently the order is . Choosing a separate labeling after seeing would prove a weaker assertion. In a lower-bound construction, the adversarial weights may depend on the labeling, but every labeling must be covered.
There is an exact algebraic lower-bound certificate for a fixed . Let have zero diagonal and off-diagonal entries . If
then every feasible satisfies
The sums over count unordered edges once. Indeed, , and the trace of a product of positive semidefinite matrices is nonnegative. Rational weights, rational , and a rational factorization with nonnegative diagonal entries give a checkable certificate without a numerical solver. Formula (4) is a certificate format, not a supplied family of certificates against all labelings.
Tests that candidate obstructions must survive
Zero energy. For every finite ,
For the forward direction use a minimizing Gram representation. The constraint for the whole vertex set and nonnegative energies force on every edge inside a part. An odd cycle would force a unit vector to equal its negative. Each part is therefore bipartite, giving colors. Conversely, pair the independent classes of a proper -coloring into parts and use the two opposite unit vectors on the classes of each pair. All counted edges then have zero energy.
In particular, no three- or four-colorable family can refute (2), however badly it defeats an unpartitioned vector bound or a prescribed first cut.
Deleting a bounded exceptional set. If has vertices, then
Use an optimal labeling and representation on . Distribute among the parts with at most vertices in each, and give its vertices mutually orthogonal unit vectors orthogonal to all old vectors. Every new counted edge has energy exactly one. In a subset , the new edges in part number at most . Summing proves (6). Thus adding a bounded number of exceptional vertices to a uniformly bounded family cannot produce a diverging . In particular, if , then .
Good sphere representations. Suppose unit vectors satisfy on every edge and the maximum degree is at most . Then
The energy of each edge is at most , and each induced subgraph has at most edges. Any candidate, including one with high chromatic number, must therefore be checked against the bounds supplied by its available vector representations.
Complete joins lose the linear hypothesis. The complete tripartite graph has . Removing all edges between two of its parts proves the upper bound. For the lower bound label the three parts by , with indices modulo . The triangles are edge-disjoint, so any bipartizing deletion set meets each. Its linear coefficient is therefore at least .
If one graph contains and another has at least vertices, their complete join contains as a subgraph; internal edges of the latter vertices may simply be omitted. Hence placing dense repair gadgets inside completely joined parts is not a fixed- amplification when . It fails a hypothesis of (2) before it can refute the vector conclusion.
Odd cycles of dense pieces
The only lower-bound mechanism used so far, in Proposition D of the countable-coloring lead, is an odd cycle of complete bipartite pieces inside one part. Its general form and the profile it must respect are as follows.
Piece-average bound. Let be a labeling of , let be odd, and suppose part contains pairwise disjoint nonempty sets with every vertex of adjacent to every vertex of (indices modulo ). Put , and . Then
Take a representation attaining and let be the average of the vectors on , so . The constraint for counts all edges between the two sets, and the other summands are nonnegative, so and . Since is odd, with , so . If , also . When is below both quantities in (8), these give , a contradiction.
For Proposition D the pieces are whole parts of sizes with ; then and (8) gives . Against a labeling, (8) applies to the pieces of a blow-up lying in one part. In a blow-up whose parts all exceed times a threshold, every labeling with labels leaves, in each part, a piece above the threshold in some label.
Gates. For odd and positive integers , let be the graph with disjoint independent sets of these sizes and all edges between cyclically consecutive sets. Then
Deleting all edges between one consecutive pair of sets proves the upper bound. For the lower bound, give each of the transversal odd cycles (one vertex from each set) the weight , where is the minimum in (9). An edge between sets and lies on of them, so it carries total weight . A bipartizing edge set meets every odd cycle, hence has at least edges.
Two consequences constrain any obstruction built from (8).
- Two adjacent small sets gate cheaply. If , then and, by the arithmetic–geometric mean inequality applied to , the vertex count is at least . Thus , the profile bound of Proposition D.
- Small sets that are not consecutive do not gate. Let be the least capacity on the cycle, let be the set of the indices whose capacity is below , and suppose no two indices of are cyclically consecutive. Pass to the induced subgraph retaining vertices for , for the other indices adjacent to , and for the rest; all these sizes fit the original capacities. Every consecutive product is , or , and the value occurs next to , so by (9). The vertex count is at most , hence . For one small set this is ; for the sizes give on vertices.
Consequently, in a -linear blow-up every odd cycle of sets with least capacity has two consecutive sets of capacity below , where counts its sets of capacity below . Such a consecutive pair is the cheap gate of Proposition D. Taking every shows that the cycle has length at least . Whatever the capacities, a piece of size at most on the cycle gives , so (8) never exceeds . Large values of (8) therefore need a large least capacity , a long cycle, and much larger capacities away from the gate, so that stays small.
Design constraints, not theorems. A fixed- family defeating every labeling with labels through (8) must force, in every such labeling, an odd cycle of sets with a cheap gate inside one part. Group the sets into capacity bands so that a gate and the large sets of its cycle lie in different bands. A labeling constant on each band then leaves no gated cycle inside a part unless the graph on bands, joining two bands when some gated cycle uses both, has chromatic number above . Within one band, a labeling that properly 2-colors the graph of the large sets leaves no monochromatic path of two or more of them, so that graph must itself force monochromatic long paths, as Borsuk-type graphs do through the Lyusternik–Schnirelmann theorem. Two such designs were examined by the author and fail. In a Borsuk net whose small-capacity sets form a band of width about an equator, every odd cycle has at least band sets. That makes large unless the band is narrow, and the available bipartizations need a wide band. Attaching small sets through small spheres around chosen centres of a second Borsuk net either creates short gated cycles, when the centres are dense, or lets a labeling avoid them, when the centres are sparse. Neither failure is a theorem excluding all designs; the failure for the band rests on the bipartization bounds the author found, not on a proved lower bound.
Remaining decision
These tests leave two useful products: a construction of one partition that uniformly controls all subset energies, or a fixed- family with a growing lower bound certified against every partition. A family excluded by (5)--(7), by the tripartite subgraph, or by the gate constraints after (9), supplies neither. No candidate meeting both the hereditary deletion hypothesis and that all-partitions lower bound is supplied here. The binary proposal, the fixed-finite-part proposal, and Problem 111 remain open in this account.
The layered rooted-measure candidate attacks the countable-coloring conclusion directly through a measure on an elementary chain. Its author-recorded argument neither consumes nor establishes the finite bound (2), so the finite quantifier order and the open status of this method are unchanged.