theoretical-computer-science / Hardness of approximation, PCPs

The Unique Games Conjecture

Theorem 1.1: for every fixed ε,δ∈(0,1/2)\varepsilon,\delta\in(0,1/2) there are s≥1s\ge1 and a deterministic polynomial-time reduction from 3SAT to explicit unweighted, simple bipartite Unique Games over K=F2sK=\mathbb F_2^s whose constraints are translations a(v)=a(u)+cea(v)=a(u)+c_e, with value at least 1−ε1-\varepsilon on satisfiable formulas and at most δ\delta on unsatisfiable ones. This is the conjecture in its usual edge-value form. The route keeps the Barak-Kothari-Steurer degree-two matrix shortcode and its Khot-Minzer-Safra inverse theorem and changes the noise through a nonlinear map to push completeness to 1−ε1-\varepsilon. Section 7 transfers known UG-hardness reductions (cut, covering, CSP, ordering, deletion, clustering) to NP-hardness; those reductions are credited to their authors. Companion manuscripts give direct NP-hardness proofs for Max-Cut beyond αGW\alpha_{GW}, Vertex Cover below factor 22, and every constant factor for Min-UnCut and directed feedback vertex set.

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theoretical-computer-scienceSep 23, 2026Significance 74/100Registry: lean checked

The Unique Games Conjecture

Prior state unknown→proved

Theorem 1.1: for every fixed ε,δ∈(0,1/2)\varepsilon,\delta\in(0,1/2) there are s≥1s\ge1 and a deterministic polynomial-time reduction from 3SAT to explicit unweighted, simple bipartite Unique Games over K=F2sK=\mathbb F_2^s whose constraints are translations a(v)=a(u)+cea(v)=a(u)+c_e, with value at least 1−ε1-\varepsilon on satisfiable formulas and at most δ\delta on unsatisfiable ones. This is the conjecture in its usual edge-value form.…

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Theorem 1.1: for every fixed ε,δ∈(0,1/2)\varepsilon,\delta\in(0,1/2) there are s≥1s\ge1 and a deterministic polynomial-time reduction from 3SAT to explicit unweighted, simple bipartite Unique Games over K=F2sK=\mathbb F_2^s whose constraints are translations a(v)=a(u)+cea(v)=a(u)+c_e, with value at least 1−ε1-\varepsilon on satisfiable formulas and at most δ\delta on unsatisfiable ones. This is the conjecture in its usual edge-value form. The route keeps the Barak-Kothari-Steurer degree-two matrix shortcode and its Khot-Minzer-Safra inverse theorem and changes the noise through a nonlinear map to push completeness to 1−ε1-\varepsilon. Section 7 transfers known UG-hardness reductions (cut, covering, CSP, ordering, deletion, clustering) to NP-hardness; those reductions are credited to their authors. Companion manuscripts give direct NP-hardness proofs for Max-Cut beyond αGW\alpha_{GW}, Vertex Cover below factor 22, and every constant factor for Min-UnCut and directed feedback vertex set.

Theorem 1.1: for every fixed ε,δ∈(0,1/2)\varepsilon,\delta\in(0,1/2) there are s≥1s\ge1 and a deterministic polynomial-time reduction from 3SAT to explicit unweighted, simple bipartite Unique Games over K=F2sK=\mathbb F_2^s whose constraints are translations a(v)=a(u)+cea(v)=a(u)+c_e, with value at least 1−ε1-\varepsilon on satisfiable formulas and at most δ\delta on unsatisfiable ones. This is the conjecture in its usual edge-value form. The route keeps the Barak-Kothari-Steurer degree-two matrix shortcode and its Khot-Minzer-Safra inverse theorem and changes the noise through a nonlinear map to push completeness to 1−ε1-\varepsilon. Section 7 transfers known UG-hardness reductions (cut, covering, CSP, ordering, deletion, clustering) to NP-hardness; those reductions are credited to their authors. Companion manuscripts give direct NP-hardness proofs for Max-Cut beyond αGW\alpha_{GW}, Vertex Cover below factor 22, and every constant factor for Min-UnCut and directed feedback vertex set.

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