Weighted Littlewood-Paley Theory and Exponential-Square IntegrabilityLittlewood-Paley theory is an essential tool of Fourier analysis, with applications and connections to PDEs, signal processing, and probability. It extends some of the benefits of orthogonality to situations where orthogonality doesn’t really make sense. It does so by letting us control certain oscillatory infinite series of functions in terms of infinite series of non-negative functions. Beginning in the 1980s, it was discovered that this control could be made much sharper than was previously suspected. The present book tries to give a gentle, well-motivated introduction to those discoveries, the methods behind them, their consequences, and some of their applications. |
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Pagina vii
Littlewood-Paley theory can be thought of as a profound generalization of the Pythagorean theorem. ... In analysis it is often convenient (and indispensable) to decompose functions f into infinite series, f(x) = ∑ λnφn (x), ...
Littlewood-Paley theory can be thought of as a profound generalization of the Pythagorean theorem. ... In analysis it is often convenient (and indispensable) to decompose functions f into infinite series, f(x) = ∑ λnφn (x), ...
Pagina viii
... with its norm defined by f4≡ (∫ |f(x)|4dx ) 1/4. To make things specific, let's suppose that our functions are defined on [0,1). ... To each function f, one associates something called the square function of f, denoted S(f).
... with its norm defined by f4≡ (∫ |f(x)|4dx ) 1/4. To make things specific, let's suppose that our functions are defined on [0,1). ... To each function f, one associates something called the square function of f, denoted S(f).
Pagina ix
to the analysis of infinite series of non-negative functions, S(f)(x)=(∑|γi|2|ψi(x)|2)1/2; and that greatly simplifies things. We have already mentioned the practice, common in analysis, of cutting a function into infinitely many ...
to the analysis of infinite series of non-negative functions, S(f)(x)=(∑|γi|2|ψi(x)|2)1/2; and that greatly simplifies things. We have already mentioned the practice, common in analysis, of cutting a function into infinitely many ...
Pagina 2
where f ∗ g is the usual convolution, f∗g(x)= ∫ Rd f(x−y)g(y)dy= ∫ Rd f(y)g(x−y)dy defined for appropriate pairs of functions f and g. We use C∞ 0 (Rd) to denote the family of infinitely differentiable functions with compact ...
where f ∗ g is the usual convolution, f∗g(x)= ∫ Rd f(x−y)g(y)dy= ∫ Rd f(y)g(x−y)dy defined for appropriate pairs of functions f and g. We use C∞ 0 (Rd) to denote the family of infinitely differentiable functions with compact ...
Pagina 3
element (in the sense of set inclusion) of F that contains Q; such a maximal element must exist because of 1.1. ... For example, we might have two complicated but continuous functions f(t) and g(t), and want to show f(0) = g(0).
element (in the sense of set inclusion) of F that contains Q; such a maximal element must exist because of 1.1. ... For example, we might have two complicated but continuous functions f(t) and g(t), and want to show f(0) = g(0).
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Cuprins
| 1 | |
| 9 | |
Exponential Square 39 | 38 |
Many Dimensions Smoothing | 69 |
The Calderón Reproducing Formula I | 85 |
The Calderón Reproducing Formula II | 101 |
The Calderón Reproducing Formula III | 129 |
Schrödinger Operators 145 | 144 |
Orlicz Spaces | 161 |
Goodbye to Goodλ | 189 |
A Fourier Multiplier Theorem | 197 |
VectorValued Inequalities | 203 |
Random Pointwise Errors | 213 |
References | 219 |
Index 223 | 222 |
Some Singular Integrals | 151 |
Alte ediții - Afișează-le pe toate
Weighted Littlewood-Paley Theory and Exponential-Square ..., Ediția 1924 Michael Wilson Previzualizare limitată - 2008 |
Termeni și expresii frecvente
absolutely convergent adapted functions argument assume belong bounded by(t Calderón formula Calderón reproducing formula Cauchy–Schwarz inequality chapter Chebyshev's inequality compact support compact-measurable exhaustion Corollary cubes Q define definition denote depending disjoint dt dy dyadic cubes dyadic doubling dyadic square function equation estimate everywhere exercise fe LP finishes the proof finite linear sums functions f Haar functions Hölder inequality holds implies Lebesgue Lebesgue measure Let f Let Q Littlewood-Paley theory locally integrable log(e–H LP norm LP spaces LP(w Ma(f Ma(v Martina Franca maximal function maximal operator measurable function measure space Moar non-negative Orlicz maximal Orlicz norms Orlicz space pointwise positive constant positive numbers Proof of Theorem Rademacher function radial Rd Rd reader result satisfies sequence subset sums of adapted sums of Haar support contained Suppose supremum Theorem 2.1 Tk(f yields Young function
Informații bibliografice
| Titlu | Weighted Littlewood-Paley Theory and Exponential-Square Integrability Lecture Notes in Mathematics |
| Autor | Michael Wilson |
| Ediție | ilustrată |
| Editor | Springer, 2007 |
| ISBN | 3540745874, 9783540745877 |
| Lungime | 227 pagini |
| Exportă citatul | BiBTeX EndNote RefMan |