The Fourier Expansion and Basic Formulas
1:11:25Probability Densities and BLR Linearity Testing
1:12:46Social Choice and Influences
1:17:33Noise Stability and Arrow's Theorem
1:21:16Spectral Concentration and Learning
1:20:14Restrictions and the Goldreich-Levin Theorem
1:21:00DNF Formulas
1:15:56Linial-Mansour-Nisan Theorems
1:14:53Majority, LTFs, and the CLT
1:17:29LTFs and Noise Stability
1:18:29Level-1 Inequality and the 2/π Theorem
1:19:16Bonami's Lemma and the KKL Theorem
1:19:31Dictator Testing and the FKN Theorem
1:17:54Probabilistically Checkable Proofs of Proximity
1:16:10Constraint Satisfaction Problems
1:15:07Håstad's Hardness Theorems
1:18:41UG-Hardness Results from Dictator Tests
1:24:28The Hypercontractivity Theorem
1:17:32Invariance Theorems
1:17:58Majority Is Stablest Theorem
1:16:42Dictator Testing and the FKN Theorem
This lecture introduces dictator testing, a crucial technique in property testing, and presents the Friedgut-Kalai-Naor (FKN) Theorem concerning functions with small influences.
Analysis of Boolean Functions
Lecture 13: Dictator Testing and the FKN Theorem
Carnegie Mellon graduate course 15-859S, Fall 2012
Bonami's Lemma and the KKL Theorem
Next · Lecture 14Probabilistically Checkable Proofs of Proximity