theoretical-computer-science / Computational complexity; PPAD and equilibrium computation

The PCP-for-PPAD conjecture of Babichenko, Papadimitriou and Rubinstein (quasilinear form)

Theorem 1.1: there are fixed rational 0<ε<1/100<\varepsilon<1/10 and 0<δ<10<\delta<1, and deterministic polynomial-time algorithms R,DR,D, such that RR maps an End-of-Line instance of length NN to a generalized circuit of total binary length at most AN⌈log⁡2(N+2)⌉bAN\lceil\log_2(N+2)\rceil^b, every generalized circuit has an acceptable rational assignment of polynomially bounded length, and from any such assignment ε\varepsilon-satisfying all but a δ\delta fraction of gates DD recovers an End-of-Line solution. This also implies the weaker polynomial-size PCP-for-PPAD statement. It does not by itself give new Nash lower bounds; those (Rubinstein, Golowich) still need an exponential-time hypothesis for PPAD.

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theoretical-computer-scienceSep 25, 2026Significance 32/100Registry: unreviewed

The PCP-for-PPAD conjecture of Babichenko, Papadimitriou and Rubinstein (quasilinear form)

Prior state unknown→proved

Theorem 1.1: there are fixed rational 0<ε<1/100<\varepsilon<1/10 and 0<δ<10<\delta<1, and deterministic polynomial-time algorithms R,DR,D, such that RR maps an End-of-Line instance of length NN to a generalized circuit of total binary length at most AN⌈log⁡2(N+2)⌉bAN\lceil\log_2(N+2)\rceil^b, every generalized circuit has an acceptable rational assignment of polynomially bounded length, and from any such assignment ε\varepsilon-satisfy…

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Theorem 1.1: there are fixed rational 0<ε<1/100<\varepsilon<1/10 and 0<δ<10<\delta<1, and deterministic polynomial-time algorithms R,DR,D, such that RR maps an End-of-Line instance of length NN to a generalized circuit of total binary length at most AN⌈log⁡2(N+2)⌉bAN\lceil\log_2(N+2)\rceil^b, every generalized circuit has an acceptable rational assignment of polynomially bounded length, and from any such assignment ε\varepsilon-satisfying all but a δ\delta fraction of gates DD recovers an End-of-Line solution. This also implies the weaker polynomial-size PCP-for-PPAD statement. It does not by itself give new Nash lower bounds; those (Rubinstein, Golowich) still need an exponential-time hypothesis for PPAD.

Theorem 1.1: there are fixed rational 0<ε<1/100<\varepsilon<1/10 and 0<δ<10<\delta<1, and deterministic polynomial-time algorithms R,DR,D, such that RR maps an End-of-Line instance of length NN to a generalized circuit of total binary length at most AN⌈log⁡2(N+2)⌉bAN\lceil\log_2(N+2)\rceil^b, every generalized circuit has an acceptable rational assignment of polynomially bounded length, and from any such assignment ε\varepsilon-satisfying all but a δ\delta fraction of gates DD recovers an End-of-Line solution. This also implies the weaker polynomial-size PCP-for-PPAD statement. It does not by itself give new Nash lower bounds; those (Rubinstein, Golowich) still need an exponential-time hypothesis for PPAD.

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