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Carleson’s Theorem, Variations and Applications Christoph Thiele Kiel, 2010.

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Presentation on theme: "Carleson’s Theorem, Variations and Applications Christoph Thiele Kiel, 2010."— Presentation transcript:

1 Carleson’s Theorem, Variations and Applications Christoph Thiele Kiel, 2010

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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):

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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 Birkhoff’s 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, 1<p<2 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 p=2, 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 Francia’s inequality Rubio de Francia’s square function, p>2, Variational Carleson, p>2

38 Coifman, R.d.F, Semmes Application of Rubio de Francia’s 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 r>1 one controls all with n r follow automatically as well as a bound for the series.

46 Lyons for AKNS, r<2, n=1 For 1<p<2 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, 2<r<3, n=1,2 Now estimate for n=1 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.


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