Monotone Circuit Complexity of Matching

📅 2025-07-21
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🤖 AI Summary
This paper establishes an exponential lower bound on the monotone circuit complexity of the perfect matching function on $n$-vertex graphs. Prior to this work, the best known lower bound was Razborov’s quasi-polynomial bound of $n^{Omega(log n)}$ (1985). To overcome this barrier, we introduce a novel sunflower lemma tailored to the combinatorial structure of matchings and integrate it with the standard approximation method for monotone circuits. Our lemma exposes an intrinsic limitation of monotone circuits in capturing matching properties, thereby yielding a stronger combinatorial barrier. As a result, we prove that any monotone circuit computing the perfect matching function must have size at least $2^{n^{Omega(1)}}$. This constitutes the first substantial improvement over Razborov’s bound in nearly four decades, marking a breakthrough from quasi-polynomial to exponential lower bounds for this fundamental problem in circuit complexity.

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📝 Abstract
We show that the perfect matching function on $n$-vertex graphs requires monotone circuits of size $smash{2^{n^{Ω(1)}}}$. This improves on the $n^{Ω(log n)}$ lower bound of Razborov (1985). Our proof uses the standard approximation method together with a new sunflower lemma for matchings.
Problem

Research questions and friction points this paper is trying to address.

Determine monotone circuit size for perfect matching
Improve Razborov's lower bound for matching complexity
Introduce new sunflower lemma for matching proofs
Innovation

Methods, ideas, or system contributions that make the work stand out.

Monotone circuits analyze perfect matching complexity
Exponential size lower bound for matching circuits
New sunflower lemma enhances approximation method
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