lemmaroutine
Subdivision yields unweighted simple game
Makes a weighted game unweighted and simple; unsatisfied fraction becomes 1/4
removes weights before taking the tensor power
Lemma·
lem:unweighted-subdivision·§7.1 Removing weights and repeated edgesStatement (paper)
Let be a finite permutation-constraint game with positive
rational occurrence weights summing to one. For every positive
rational , put . There is a
deterministic construction of an unweighted simple bipartite game
with edges and the same alphabet such that
If the constraints of are translations on a finite binary vector
space, so are those of . For fixed , when is listed by its
vertices, occurrences, permutation tables, and binary rational weights,
the construction takes polynomial time in its encoding length.
In plain English
Given a permutation-constraint game with rational occurrence weights and a rational , one can build deterministically an unweighted simple bipartite game with edges, , over the same alphabet, with within of . Translation constraints stay translations, and for fixed the construction runs in polynomial time.
Why it's here
This lemma removes weights and repeated edges: it rounds the weights to multiples of and subdivides each edge, so the game becomes unweighted and simple while the value changes in a controlled way (the unsatisfied fraction shrinks by a factor of 4, up to error). The final Unique Games reduction uses it to turn a matrix game into an unweighted simple bipartite game, and its tensor power then gives the output instance.
Classified routine:
Standard weight-rounding and edge-subdivision bookkeeping: weights are rounded to multiples of 1/Q and each constraint edge is replaced by a short path. This is a well-known technique for making constraint graphs unweighted and simple in Unique Games and label-cover reductions.
Uses
Nothing else in the paper
Used by
Figures
Figure 1diagramp. 6
The solid arrows describe the reduction; the dashed arrows describe its soundness argument. The decoding lower bound follows from high test acceptance, while the clean-coordinate upper bound follows from the NO parity gap and applies to every advice strategy. The constants are fixed before the tuple length grows.
What it shows
A two-column flow diagram. The left column, "The reduction", has three boxes linked by solid arrows: 3SAT to a weighted parity gap instance, then the latent matrix test (stable nonlinear map, Lemma 3.1), then via "Rounding and subdivision; parallel repetition" to unweighted simple bipartite Unique Games (Theorem 1.1). The right column, "Soundness on a NO input", has two branches with dashed arrows: assuming test acceptance at least 0.99 gives decoded advice strategies with agreement at least (Proposition 5.3), while a NO parity instance gives agreement at most for every pair of strategies (Lemma 6.2). Both branches point to a bottom box stating a contradiction for sufficiently large : .
Read from the image by claude-opus-5.5 · confidence 88%
SupportsthmThe Unique Games TheoremlemLatent alphabet gadget with detecting noisepropMatrix test passing yields decoding strategieslemAdvice agreement decays with clean coordinatesthmGap hardness for weighted parity equationsthmParallel repetition for projection gameslemSubdivision yields unweighted simple gamepropMatrix game completeness and soundness gap
Sources
PaperOpen
- Section
- §7.1 Removing weights and repeated edges
- Page
- —
- Label
lem:unweighted-subdivision- Line
sections/06-finish.tex:17
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