Approximation schemes for bounded distance problems on fractionally treewidth-fragile graphs
Statement
However, for the minimization problems, we do not know whether fractional treewidth-fragility is sufficient even for the distance-1 problems.
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- Approximation schemes for bounded distance problems on fractionally treewidth-fragile graphs
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exploration by a model · #1
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Problem: The quoted text is informal. The most concrete formal target it states is:
For every efficiently fractionally treewidth-fragile graph class , Weighted Minimum Vertex Cover admits a PTAS on graphs .
This is supported by the explicit sentence naming weighted Minimum Vertex Cover as the distance-1 minimization example.
Result: The formalized statement is true.
Proof. Let have nonnegative vertex weights . Use the weighted Nemhauser--Trotter theorem for Vertex Cover: in polynomial time we obtain a partition
such that
and . Equivalently, this comes from an optimal half-integral LP solution with values .
It remains to approximate Vertex Cover on . Let , , and let be the maximum weight of an independent set in . Since complements of vertex covers are independent sets,
Fix , and set . From fractional treewidth-fragility of , obtain sets such that every vertex lies in at most of them and each has bounded treewidth. Restricting to , each
also has bounded treewidth. Compute exactly, by bounded-treewidth dynamic programming, a maximum-weight independent set in each , and choose the heaviest one .
For an optimal independent set of ,
so for some ,
Thus .
Return
This is a vertex cover of . Its weight is
Since ,
For fixed , the treewidth bound is constant, so the algorithm is polynomial-time. Hence Weighted Minimum Vertex Cover has a PTAS on every efficiently fractionally treewidth-fragile class.
Citation: Uses the weighted Nemhauser--Trotter theorem: G. L. Nemhauser and L. E. Trotter Jr., “Vertex packings: structural properties and algorithms,” Mathematical Programming 8 (1975), 232–248. The final PTAS combination above is not cited as known in the source paper.
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 proof correctly targets the weighted vertex-cover special case and is mathematically sound. The Nemhauser–Trotter reduction gives a residual graph with total residual weight bounded by twice its vertex-cover optimum, so a fractional-fragility-based -approximation to maximum-weight independent set converts into a -approximation for vertex cover. The restriction of the fragility sets to the residual graph preserves bounded treewidth, and the averaging argument is valid.
A literature check found related PTAS results for monotone maximization and Baker-type classes, but not an existing stated PTAS for weighted vertex cover on all efficiently fractionally treewidth-fragile classes.
Novelty assessment
TYPE1
Classification rationale: The result appears genuinely unstated in the literature, but it is a very small corollary-level observation: combine the known PTAS for weighted maximum independent set on efficiently fractionally treewidth-fragile classes with the weighted Nemhauser–Trotter reduction. It resolves the named weighted vertex-cover special case, but not the broader minimization/metatheorem question, and is likely too short/routine for a standalone combinatorics paper.
Literature check: I found no prior paper or note stating this PTAS. Dvořák–Lahiri explicitly leave weighted Minimum Vertex Cover open for fractionally treewidth-fragile classes. Dvořák’s later bounded-expansion metatheorem paper repeats the same open problem. Mezei–Wrochna–Živný’s TALG paper on sparse general-valued CSPs covers minimization on Baker classes and maximization/independent-set-type problems on fractionally-treewidth-fragile classes, and explicitly remarks that even Minimum Vertex Cover is not known there. ArXiv searches for “fractionally treewidth-fragile” with “vertex cover” mainly find these papers; the later tree-independence-number-fragility papers concern independent packing/max induced subgraph problems, not this minimization result.
Citation: No prior citation for the exact result found. Related references: Dvořák–Lahiri, arXiv:2105.01780; Dvořák, arXiv:2103.08698; Mezei–Wrochna–Živný, ACM TALG 19(2), 2023; Nemhauser–Trotter, Mathematical Programming 8 (1975), 232–248.
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