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A Lower Bound for k-DNF Resolution on Random CNF Formulas via Expansion

Fields Institute via YouTube

Overview

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Explore a mathematical proof technique in this 21-minute conference talk that establishes lower bounds for k-DNF resolution on random CNF formulas using expansion methods. Learn about the theoretical foundations of proof complexity as the speaker presents joint research with Dmitry Sokolov, demonstrating how expansion properties can be leveraged to prove computational limitations in logical reasoning systems. Discover the connections between random formula structures and resolution proof lengths, gaining insights into fundamental questions about the efficiency of automated theorem proving and satisfiability solving algorithms.

Syllabus

A Lower Bound for k-DNF Resolution on Random CNF Formulas via Expansion

Taught by

Fields Institute

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