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Metric number theory, lacunary series and systems of dilated - - PowerPoint PPT Presentation

Metric number theory, lacunary series and systems of dilated functions Christoph Aistleitner aistleitner@math.tugraz.at Kobe University, Japan Uniform distribution and quasi-Monte Carlo methods RICAM Linz, Austria October 14, 2013 The


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SLIDE 1

Metric number theory, lacunary series and systems

  • f dilated functions

Christoph Aistleitner

aistleitner@math.tugraz.at

Kobe University, Japan

Uniform distribution and quasi-Monte Carlo methods RICAM Linz, Austria

October 14, 2013

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The equidistribution theorem

The sequence of fractional parts ({kx})k≥1 is uniformly distributed modulo 1 if and only if x ∈ Q (Bohl–Sierpinski–Weyl, 1909–1910). A sequence (xk)k≥1 is called uniformly distributed modulo 1 if for all a ∈ [0, 1] the relation lim

N→∞

1 N

N

  • k=1

1[0,a)(xk) = a holds.

Christoph Aistleitner Metric number theory, lacunary series and systems of dilated func

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SLIDE 3

The equidistribution theorem

The sequence of fractional parts ({kx})k≥1 is uniformly distributed modulo 1 if and only if x ∈ Q (Bohl–Sierpinski–Weyl, 1909–1910). A sequence (xk)k≥1 is called uniformly distributed modulo 1 if for all a ∈ [0, 1] the relation lim

N→∞

1 N

N

  • k=1

1[0,a)(xk) = a holds.

Christoph Aistleitner Metric number theory, lacunary series and systems of dilated func

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SLIDE 4

The equidistribution theorem

For a sequence (nk)k≥1 of distinct integers, the sequence of fractional parts ({nkx})k≥1 is uniformly distributed modulo 1 for almost all x. (Weyl, 1916) In general the exceptional set cannot be determined explicitly (for example for nk = 2k, k ≥ 1.) What is the speed of convergence in Weyl’s theorem? – The answer is given in terms of the discrepancy.

Christoph Aistleitner Metric number theory, lacunary series and systems of dilated func

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SLIDE 5

The equidistribution theorem

For a sequence (nk)k≥1 of distinct integers, the sequence of fractional parts ({nkx})k≥1 is uniformly distributed modulo 1 for almost all x. (Weyl, 1916) In general the exceptional set cannot be determined explicitly (for example for nk = 2k, k ≥ 1.) What is the speed of convergence in Weyl’s theorem? – The answer is given in terms of the discrepancy.

Christoph Aistleitner Metric number theory, lacunary series and systems of dilated func

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SLIDE 6

The equidistribution theorem

For a sequence (nk)k≥1 of distinct integers, the sequence of fractional parts ({nkx})k≥1 is uniformly distributed modulo 1 for almost all x. (Weyl, 1916) In general the exceptional set cannot be determined explicitly (for example for nk = 2k, k ≥ 1.) What is the speed of convergence in Weyl’s theorem? – The answer is given in terms of the discrepancy.

Christoph Aistleitner Metric number theory, lacunary series and systems of dilated func

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SLIDE 7

The equidistribution theorem

For a sequence (nk)k≥1 of distinct integers, the sequence of fractional parts ({nkx})k≥1 is uniformly distributed modulo 1 for almost all x. (Weyl, 1916) In general the exceptional set cannot be determined explicitly (for example for nk = 2k, k ≥ 1.) What is the speed of convergence in Weyl’s theorem? – The answer is given in terms of the discrepancy.

Christoph Aistleitner Metric number theory, lacunary series and systems of dilated func

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Discrepancy

For a finite sequence x1, . . . , xN of points in the unit interval the star-discrepancy D∗

N is defined as

D∗

N(x1, . . . , xN) = sup 0≤a≤1

  • 1

N

N

  • k=1

1[0,a)(xk) − a

  • .

We want to find upper bounds for D∗

N({n1x}, . . . , {nNx})

as N → ∞.

Christoph Aistleitner Metric number theory, lacunary series and systems of dilated func

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SLIDE 9

Discrepancy

For a finite sequence x1, . . . , xN of points in the unit interval the star-discrepancy D∗

N is defined as

D∗

N(x1, . . . , xN) = sup 0≤a≤1

  • 1

N

N

  • k=1

1[0,a)(xk) − a

  • .

We want to find upper bounds for D∗

N({n1x}, . . . , {nNx})

as N → ∞.

Christoph Aistleitner Metric number theory, lacunary series and systems of dilated func

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Closely related problems

Find upper bounds for

  • N
  • k=1

1[0,a)({nkx}) − Na

  • for fixed a and a.e. x.

Find upper bounds for

  • N
  • k=1

f (nkx)

  • for f being centered, 1-periodic and of bounded variation, for

a.e. x. Find criteria for the a.e. convergence of

  • k=1

ckf (nkx) for f being centered, 1-periodic and of bounded variation.

Christoph Aistleitner Metric number theory, lacunary series and systems of dilated func

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Closely related problems

Find upper bounds for

  • N
  • k=1

1[0,a)({nkx}) − Na

  • for fixed a and a.e. x.

Find upper bounds for

  • N
  • k=1

f (nkx)

  • for f being centered, 1-periodic and of bounded variation, for

a.e. x. Find criteria for the a.e. convergence of

  • k=1

ckf (nkx) for f being centered, 1-periodic and of bounded variation.

Christoph Aistleitner Metric number theory, lacunary series and systems of dilated func

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SLIDE 12

Closely related problems

Find upper bounds for

  • N
  • k=1

1[0,a)({nkx}) − Na

  • for fixed a and a.e. x.

Find upper bounds for

  • N
  • k=1

f (nkx)

  • for f being centered, 1-periodic and of bounded variation, for

a.e. x. Find criteria for the a.e. convergence of

  • k=1

ckf (nkx) for f being centered, 1-periodic and of bounded variation.

Christoph Aistleitner Metric number theory, lacunary series and systems of dilated func

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Remarks I: Known results

In a few special cases the answers are known. If nk = k, k ≥ 1 (connection with continued fractions expansion). If (nk)k≥1 is increasing very quickly (lacunary sequences - almost independent behavior).

Christoph Aistleitner Metric number theory, lacunary series and systems of dilated func

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Remarks I: Known results

In a few special cases the answers are known. If nk = k, k ≥ 1 (connection with continued fractions expansion). If (nk)k≥1 is increasing very quickly (lacunary sequences - almost independent behavior).

Christoph Aistleitner Metric number theory, lacunary series and systems of dilated func

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Remarks I: Known results

In a few special cases the answers are known. If nk = k, k ≥ 1 (connection with continued fractions expansion). If (nk)k≥1 is increasing very quickly (lacunary sequences - almost independent behavior).

Christoph Aistleitner Metric number theory, lacunary series and systems of dilated func

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Remarks II: Probabilistic interpretation

It suffices to consider x ∈ [0, 1]. The space ([0, 1], B, λ) is a probability space. The functions {nkx} and f (nkx) are random variables. For each k, the random variable {nkx} has distribution U([0, 1]). The discrepancy is the Kolmogorov–Smirnov statistic.

Christoph Aistleitner Metric number theory, lacunary series and systems of dilated func

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Remarks II: Probabilistic interpretation

It suffices to consider x ∈ [0, 1]. The space ([0, 1], B, λ) is a probability space. The functions {nkx} and f (nkx) are random variables. For each k, the random variable {nkx} has distribution U([0, 1]). The discrepancy is the Kolmogorov–Smirnov statistic.

Christoph Aistleitner Metric number theory, lacunary series and systems of dilated func

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Remarks II: Probabilistic interpretation

It suffices to consider x ∈ [0, 1]. The space ([0, 1], B, λ) is a probability space. The functions {nkx} and f (nkx) are random variables. For each k, the random variable {nkx} has distribution U([0, 1]). The discrepancy is the Kolmogorov–Smirnov statistic.

Christoph Aistleitner Metric number theory, lacunary series and systems of dilated func

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Remarks II: Probabilistic interpretation

It suffices to consider x ∈ [0, 1]. The space ([0, 1], B, λ) is a probability space. The functions {nkx} and f (nkx) are random variables. For each k, the random variable {nkx} has distribution U([0, 1]). The discrepancy is the Kolmogorov–Smirnov statistic.

Christoph Aistleitner Metric number theory, lacunary series and systems of dilated func

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Remarks II: Probabilistic interpretation

It suffices to consider x ∈ [0, 1]. The space ([0, 1], B, λ) is a probability space. The functions {nkx} and f (nkx) are random variables. For each k, the random variable {nkx} has distribution U([0, 1]). The discrepancy is the Kolmogorov–Smirnov statistic.

Christoph Aistleitner Metric number theory, lacunary series and systems of dilated func

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Tools I

Erd˝

  • s–Tur´

an inequality: For any positive integer H D∗

N(x1, . . . , xN) ≤ 3

H + 3

H

  • h=1

1 h

  • 1

N

N

  • k=1

e2πihxk

  • .

Christoph Aistleitner Metric number theory, lacunary series and systems of dilated func

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Tools II

Koksma’s inequality: For any function f which has bounded variation Var(f ) in the unit interval we have

  • 1

N

N

  • k=1

f (xk) − 1 f (x) dx

  • ≤ Var(f ) · D∗

N(x1, . . . , xN).

Christoph Aistleitner Metric number theory, lacunary series and systems of dilated func

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Tools III

Carleson’s theorem: The Fourier series of a function in L2([0, 1]) is a.e. convergent. Equivalently: there exists an absolute constant c such that for any f ∈ L2([0, 1]) S∗f 2 ≤ cf 2.

Christoph Aistleitner Metric number theory, lacunary series and systems of dilated func

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Tools III

Carleson’s theorem: The Fourier series of a function in L2([0, 1]) is a.e. convergent. Equivalently: there exists an absolute constant c such that for any f ∈ L2([0, 1]) S∗f 2 ≤ cf 2.

Christoph Aistleitner Metric number theory, lacunary series and systems of dilated func

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Tools IV

G´ al’s theorem: There is an absolute constant c such that for any distinct integers n1, . . . , nN we have

N

  • k,l=1

(gcd(nk, nl))2 nknl ≤ cN(log log N)2.

Christoph Aistleitner Metric number theory, lacunary series and systems of dilated func

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An upper bound for trigonometric sums

For any increasing sequence of integers (nk)k≥1 we have

  • N
  • k=1

cos(2πnkx)

  • = O

√ N(log N)1/2+ε a.e. This upper bound is optimal (Berkes–Philipp, 1994). For the discrepancy we get D∗

N({n1x}, . . . , {nNx}) = O

  • (log N)3/2+ε

√ N

  • a.e.

Christoph Aistleitner Metric number theory, lacunary series and systems of dilated func

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An upper bound for trigonometric sums

For any increasing sequence of integers (nk)k≥1 we have

  • N
  • k=1

cos(2πnkx)

  • = O

√ N(log N)1/2+ε a.e. This upper bound is optimal (Berkes–Philipp, 1994). For the discrepancy we get D∗

N({n1x}, . . . , {nNx}) = O

  • (log N)3/2+ε

√ N

  • a.e.

Christoph Aistleitner Metric number theory, lacunary series and systems of dilated func

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An upper bound for trigonometric sums

For any increasing sequence of integers (nk)k≥1 we have

  • N
  • k=1

cos(2πnkx)

  • = O

√ N(log N)1/2+ε a.e. This upper bound is optimal (Berkes–Philipp, 1994). For the discrepancy we get D∗

N({n1x}, . . . , {nNx}) = O

  • (log N)3/2+ε

√ N

  • a.e.

Christoph Aistleitner Metric number theory, lacunary series and systems of dilated func

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An upper bound for sums of dilated functions

How about sums f (nkx)? We have to estimate

  • max

1≤M≤N

  • M
  • k=1

f (nkx)

  • 2

.

Christoph Aistleitner Metric number theory, lacunary series and systems of dilated func

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An upper bound for sums of dilated functions

How about sums f (nkx)? We have to estimate

  • max

1≤M≤N

  • M
  • k=1

f (nkx)

  • 2

.

Christoph Aistleitner Metric number theory, lacunary series and systems of dilated func

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For f being centered, 1-period and of bounded variation, and for (nk)k≥1 being an increasing sequence of integers, we have

  • N
  • k=1

f (nkx)

  • = O

√ N(log N)3/2+ε a.e.

Christoph Aistleitner Metric number theory, lacunary series and systems of dilated func

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An upper bound for sums of dilated functions II

Theorem (A–Berkes–Seip, 2013, to appear in Journal of the EMS) Let f be a centered, 1-periodic function of bounded variation. Let (nk)k≥1 be an increasing sequence of positive integers. Then

  • N
  • k=1

f (nkx)

  • = O

√ N(log N)1/2(log log N)5/2+ε a.e.

Christoph Aistleitner Metric number theory, lacunary series and systems of dilated func

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Theorem (A–Berkes–Seip, 2013) Let f be a centered, 1-periodic function of bounded variation, and let (nk)k≥1 be an increasing sequence of positive integers. Let (ck)k≥1 be a real sequence satisfying

  • k=3

c2

k(log log k)4+ε < ∞.

Then the series

  • k=1

ckf (nkx) is a.e. convergent.

Christoph Aistleitner Metric number theory, lacunary series and systems of dilated func

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Problems I

We can estimate

  • max

1≤M≤N

  • M
  • k=1

f (nkx)

  • 2

. For the discrepancy we need

  • max

1≤M≤N

sup

a∈[0,1]

  • M
  • k=1

1[0,a)({nkx}) − Ma

  • 2

.

Christoph Aistleitner Metric number theory, lacunary series and systems of dilated func

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SLIDE 35

Problems I

We can estimate

  • max

1≤M≤N

  • M
  • k=1

f (nkx)

  • 2

. For the discrepancy we need

  • max

1≤M≤N

sup

a∈[0,1]

  • M
  • k=1

1[0,a)({nkx}) − Ma

  • 2

.

Christoph Aistleitner Metric number theory, lacunary series and systems of dilated func

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Problems II

Investigate the a.e. convergence problem for

  • k=1

ckf (kx). Investigate connection with the Duffin–Schaeffer conjecture.

Christoph Aistleitner Metric number theory, lacunary series and systems of dilated func

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Problems II

Investigate the a.e. convergence problem for

  • k=1

ckf (kx). Investigate connection with the Duffin–Schaeffer conjecture.

Christoph Aistleitner Metric number theory, lacunary series and systems of dilated func