Carleson - PowerPoint PPT Presentation

About This Presentation
Title:

Carleson

Description:

... ( identity op, Cauchy projection) Translation ... Riemann-Hilbert problems Orthogonal polynomials Schur algorithm Random matrix theory Analogues of ... – PowerPoint PPT presentation

Number of Views:155
Avg rating:3.0/5.0
Slides: 48
Provided by: Christoph566
Category:

less

Transcript and Presenter's Notes

Title: Carleson


1
Carlesons Theorem,Variations and Applications
  • Christoph Thiele
  • Kiel, 2010

2
(No Transcript)
3
(No Transcript)
4
(No Transcript)
5

6
(No Transcript)
7
(No Transcript)
8
(No Transcript)
9
  • Translation in horizontal direction
  • Dilation
  • Rotation by 90 degrees
  • Translation in vertical direction

10
Carleson Operator
  • ( identity op, Cauchy
    projection)
  • Translation/Dilation/Modulation symmetry.
  • Carleson-Hunt theorem (1966/1968)

11
(No Transcript)
12
(No Transcript)
13
(No Transcript)
14
(No Transcript)
15
(No Transcript)
16
(No Transcript)
17
(No Transcript)
18
(No Transcript)
19
(No Transcript)
20
(No Transcript)
21
Multiplier Norm
  • - norm of a function f is the operator norm
  • of its Fourier multiplier operator acting on
  • - norm is the same as supremum norm

22
-Carleson operator
  • Theorem (Oberlin, Seeger, Tao, T. Wright 10)
  • provided

23
Redefine Carleson Operator
  • Truncated Carleson operator

24
Truncated Carleson as average
25
Maximal Multiplier Norm
  • -norm of a family of functions is the
  • operator norm of the maximal operator on
  • No easy alternative description for

26
-Carleson operator
  • Theorem (Demeter,Lacey,Tao,T. 07)
  • Conjectured extension to , range of p ?
  • Non-singular variant with by Demeter
    09.

27
Birkhoffs Ergodic Theorem
  • X probability space (measure space of mass 1).
  • T measure preserving transformation on X.
  • measurable function on X (say in
    ).
  • Then
  • exists for almost every x .

28
Harmonic analysis with
  • Compare
  • With max. operator
  • With Hardy Littlewood
  • With Lebesgue Differentiation
  • and no Schwartz functions

29
Weighted Birkhoff
  • A weight sequence is called good if the
  • weighted Birkhoff holds For all X,T,
  • Exists for almost every x.

30
Return Times Theorem
  • (Bourgain, 88) Y probability space, S measure
    preserving transformation on Y,
    . Then is good for
    almost every y.
  • Extended to , 1ltplt2 by Demeter,
    Lacey,Tao,T. Transfer to harmonic analysis, take
    Fourier transform in f, recognize .

31
Hilbert Transform / Vector Fields
  • Lipshitz,
  • Stein conjecture
  • Also of interest are a) values other than p2,
  • b) maximal operator along vector field (Zygmund
    conjecture) or maximal truncated singular integral

32
Coifman VF depends on 1 vrbl
  • Other values of p Lacey-Li/ Bateman
  • Open range of p near 1, maximal operator

33
Application of -Carleson (C. Demeter)
  • Vector field v depends on one variable and f
  • is an elementary tensor f(x,y)a(x)b(y), then
  • in an open range of p around 2.

34
Application of Carleson
  • Maximal truncation of HT along vectorfield
  • Under same assumptions as before
  • Carried out for Hardy Littlewood maximal
    operator
  • along vector field by Demeter.

35
Variation Norm
Another strengthening of supremum norm
36
Variation Norm Carleson
  • Thm. (Oberlin, Seeger, Tao, T. Wright, 09)

37
Rubio de Francias inequality
  • Rubio de Francias square function, pgt2,
  • Variational Carleson, pgt2

38
Coifman, R.d.F, Semmes
  • Application of Rubio de Francias inequality
  • Variation norm controls multiplier norm
  • Provided
  • Hence variational Carleson implies -
    Carleson

39
Nonlinear theory
  • Fourier sums as products (via exponential fct)

40
Non-commutative theory
  • Nonlinear Fourier transform, other choices of
    matrices lead to other models, AKNS systems

41
Incarnations of NLFT
  • (One dimensional) Scattering theory
  • Integrable systems, KdV, NLS, inverse scattering
    method.
  • Riemann-Hilbert problems
  • Orthogonal polynomials
  • Schur algorithm
  • Random matrix theory

42
Analogues of classical facts
  • Nonlinear Plancherel (a first entry of G)
  • Nonlinear Hausdorff-Young (Christ-Kiselev)
  • Nonlinear Riemann-Lebesgue (Gronwall)

43
Conjectured analogues
  • Nonlinear Carleson
  • Uniform nonlinear Hausdorff Young
  • Both OK in Walsh case, WNLUHY by Vjeko Kovac

44
Picard iteration, exp series
  • Scalar case symmetrize, integrate over cubes

45
Terry Lyons theory
  • Etc. If for one value of rgt1 one
    controls all with nltr, then bounds
    for ngtr follow automatically as well as a bound
    for the series.

46
Lyons for AKNS, rlt2, n1
  • For 1ltplt2 we obtain by interpolation between a
    trivial estimate ( ) and variational Carleson
    ( )
  • This implies nonlinear Hausdorff Young as well as
    variational and maximal versions of nonlinear HY.
  • Barely fails to prove the nonlinear Carleson
    theorem because cannot choose

47
Lyons for AKNS, 2ltrlt3, n1,2
  • Now estimate for n1 is fine by variational
    Carleson.
  • Work in progress with C.Muscalu and Yen Do
  • Appears to work fine when .
    This puts an algebraic condition on AKNS which
    unfortunately is violated by NLFT as introduced
    above.
Write a Comment
User Comments (0)
About PowerShow.com