Book contents
- Frontmatter
- Contents
- Foreword
- Symbols
- Preface
- 1 Introduction
- Part One Historical and Theoretical Background
- 2 Positive-definite Kernels and Moment Problems
- 3 Univariate Christoffel–Darboux Analysis
- 4 Multivariate Christoffel–Darboux Analysis
- 5 Singular Supports
- Part Two Statistics and Applications to Data Analysis
- Part Three Complementary Topics
- References
- Index
4 - Multivariate Christoffel–Darboux Analysis
from Part One - Historical and Theoretical Background
Published online by Cambridge University Press: 31 March 2022
- Frontmatter
- Contents
- Foreword
- Symbols
- Preface
- 1 Introduction
- Part One Historical and Theoretical Background
- 2 Positive-definite Kernels and Moment Problems
- 3 Univariate Christoffel–Darboux Analysis
- 4 Multivariate Christoffel–Darboux Analysis
- 5 Singular Supports
- Part Two Statistics and Applications to Data Analysis
- Part Three Complementary Topics
- References
- Index
Summary
Starting from the explicit formulas known for simple multivariate geometries (balls, cube, simplex) the discussion moves to recent advances in pluripotential theory. The essential Bernstein-Markov property of a measure is necessary for deriving asymptotics of the Christoffel function outside the support of the generating measure, and in some fortunate situations also inside the support. A balance between strong and weak limits enters into the game.
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- Chapter
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- The Christoffel–Darboux Kernel for Data Analysis , pp. 42 - 60Publisher: Cambridge University PressPrint publication year: 2022