Book contents
- Frontmatter
- Contents
- Preface
- Acknowledgements
- I A Prologue: Mostly Historical
- II Three Classical Inequalities
- III A Fourth Inequality
- IV Elementary Properties of the Fréchet Variation – an Introduction to Tensor Products
- V The Grothendieck Factorization Theorem
- VI An Introduction to Multidimensional Measure Theory
- VII An Introduction to Harmonic Analysis
- VIII Multilinear Extensions of the Grothendieck Inequality (via Λ(2)-uniformizability)
- IX Product Fréchet Measures
- X Brownian Motion and the Wiener Process
- XI Integrators
- XII A ‘3/2-dimensional’ Cartesian Product
- XIII Fractional Cartesian Products and Combinatorial Dimension
- XIV The Last Chapter: Leads and Loose Ends
- References
- Index
VII - An Introduction to Harmonic Analysis
Published online by Cambridge University Press: 13 August 2009
- Frontmatter
- Contents
- Preface
- Acknowledgements
- I A Prologue: Mostly Historical
- II Three Classical Inequalities
- III A Fourth Inequality
- IV Elementary Properties of the Fréchet Variation – an Introduction to Tensor Products
- V The Grothendieck Factorization Theorem
- VI An Introduction to Multidimensional Measure Theory
- VII An Introduction to Harmonic Analysis
- VIII Multilinear Extensions of the Grothendieck Inequality (via Λ(2)-uniformizability)
- IX Product Fréchet Measures
- X Brownian Motion and the Wiener Process
- XI Integrators
- XII A ‘3/2-dimensional’ Cartesian Product
- XIII Fractional Cartesian Products and Combinatorial Dimension
- XIV The Last Chapter: Leads and Loose Ends
- References
- Index
Summary
Mise en Scène: Mainly a Historical Perspective
A recurring construct in previous chapters was based on this simple blueprint:
given sets E1,…,En and x1 ∈ E1,…,xn ∈ En, form products x1 ⊗ … ⊗xn, and consider the class E1 ⊗…⊗ En comprising all linear combinations of such products.
At the very outset, if nothing is known or assumed about the ‘building blocks’ x1,…,xn, then their product x1⊗…⊗xn is merely a formal object, and not much more can be said. If something is known about E1,…,En, then meaning could be ascribed to x1⊗ … ⊗xn, and analysis of E1 ⊗…⊗En would proceed accordingly. In our specific context, we considered Rademacher functions and their products. We considered the set of independent functions R = {rk} on Ω = {−1, 1}ℕ, and viewed the elements in the n-fold R⊗…⊗R as functions on Ωn. An underlying theme has been that Rademacher functions are basic objects from which all else is constructed, a notion that can be formulated effectively in a framework of harmonic analysis. And that is our purpose in this chapter: to learn and analyze this framework, as it is built from the ground up.
Loosely put, harmonic analysis is about representing general phenomena in terms of familiar phenomena. The subject's beginnings – in the mid-eighteenth century, about ninety years after the invention of the calculus – were rooted in the notion that arbitrary functions could be represented by series of sines and cosines.
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- Analysis in Integer and Fractional Dimensions , pp. 135 - 205Publisher: Cambridge University PressPrint publication year: 2001