Localization Schemes - A Framework for Proving Mixing Bounds for Markov Chains

Localization Schemes - A Framework for Proving Mixing Bounds for Markov Chains

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Introduction

1 of 13

1 of 13

Introduction

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Classroom Contents

Localization Schemes - A Framework for Proving Mixing Bounds for Markov Chains

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  1. 1 Introduction
  2. 2 Goals
  3. 3 Easing models
  4. 4 Markov chains
  5. 5 Global dynamics
  6. 6 Grabber dynamics
  7. 7 Nonuniqueness
  8. 8 Discrete hypercube
  9. 9 Sampling independent sets
  10. 10 Covariance matrix
  11. 11 Correlation matrix
  12. 12 Operator norms
  13. 13 Other techniques

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