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Spectral gaps and oscillations Alexei Poltoratski Texas A&M Abel Symposium, 8/2012 Alexei Poltoratski (Texas A&M) Spectral gaps and oscillations Abel Symposium, 8/2012 1 / 22 Contents of the talk Alexei Poltoratski (Texas A&M)


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Spectral gaps and oscillations

Alexei Poltoratski

Texas A&M

Abel Symposium, 8/2012

Alexei Poltoratski (Texas A&M) Spectral gaps and oscillations Abel Symposium, 8/2012 1 / 22

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Contents of the talk

Alexei Poltoratski (Texas A&M) Spectral gaps and oscillations Abel Symposium, 8/2012 2 / 22

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Contents of the talk

The Gap Problem: Estimating the size of the gap in the Fourier spectrum of a measure.

Alexei Poltoratski (Texas A&M) Spectral gaps and oscillations Abel Symposium, 8/2012 2 / 22

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Contents of the talk

The Gap Problem: Estimating the size of the gap in the Fourier spectrum of a measure. The Type Problem: Completeness of complex exponentials in L2-spaces.

Alexei Poltoratski (Texas A&M) Spectral gaps and oscillations Abel Symposium, 8/2012 2 / 22

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Contents of the talk

The Gap Problem: Estimating the size of the gap in the Fourier spectrum of a measure. The Type Problem: Completeness of complex exponentials in L2-spaces. A Problem on Oscillations of Fourier Integrals: How often should a measure with a spectral gap change signs?

Alexei Poltoratski (Texas A&M) Spectral gaps and oscillations Abel Symposium, 8/2012 2 / 22

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Beurling’s Gap Problem

Let X ⊂ R be a closed set. Question: Under what conditions on X does there exist a non-zero finite complex measure µ, supp µ ⊂ X whose Fourier transform ˆ µ(x) =

  • e2πixtdµ(t)

vanishes on an interval? How to determine the maximal size of such an interval (spectral gap)? The Gap Problem is a part of an area called Uncertainty Principle in Harmonic Analysis. In this context the principle says that the supports of the measure and its Fourier transform cannot both be small.

Alexei Poltoratski (Texas A&M) Spectral gaps and oscillations Abel Symposium, 8/2012 3 / 22

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Beurling’s Gap Problem

Definition

If X is a closed subset of the real line denote GX = sup{ a | ∃ µ ≡ 0, supp µ ⊂ X, such that ˆ µ = 0 on [0, a]}

Alexei Poltoratski (Texas A&M) Spectral gaps and oscillations Abel Symposium, 8/2012 4 / 22

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Beurling’s Gap Problem

Definition

If X is a closed subset of the real line denote GX = sup{ a | ∃ µ ≡ 0, supp µ ⊂ X, such that ˆ µ = 0 on [0, a]} Examples: 1) If X is bounded from below or from above then GX = 0.

Alexei Poltoratski (Texas A&M) Spectral gaps and oscillations Abel Symposium, 8/2012 4 / 22

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Beurling’s Gap Problem

Definition

If X is a closed subset of the real line denote GX = sup{ a | ∃ µ ≡ 0, supp µ ⊂ X, such that ˆ µ = 0 on [0, a]} Examples: 1) If X is bounded from below or from above then GX = 0. 2) If µ is the counting measure of Z then ˆ µ = µ in the sense of distributions (Poisson formula). It follows that G 1

d Z = d. Alexei Poltoratski (Texas A&M) Spectral gaps and oscillations Abel Symposium, 8/2012 4 / 22

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Beurling’s Gap Problem

Definition

If X is a closed subset of the real line denote GX = sup{ a | ∃ µ ≡ 0, supp µ ⊂ X, such that ˆ µ = 0 on [0, a]} Examples: 1) If X is bounded from below or from above then GX = 0. 2) If µ is the counting measure of Z then ˆ µ = µ in the sense of distributions (Poisson formula). It follows that G 1

d Z = d.

3) Since Y ⊂ X ⇒ GY ≤ GX, If X contains 1

d Z + c then GX ≥ d.

Alexei Poltoratski (Texas A&M) Spectral gaps and oscillations Abel Symposium, 8/2012 4 / 22

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Beurling’s Gap Theorem

Definition

A sequence of disjoint intervals {In} is long if

  • |In|2

1 + dist2(0, In) = ∞ and short otherwise.

Alexei Poltoratski (Texas A&M) Spectral gaps and oscillations Abel Symposium, 8/2012 5 / 22

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Beurling’s Gap Theorem

Definition

A sequence of disjoint intervals {In} is long if

  • |In|2

1 + dist2(0, In) = ∞ and short otherwise.

Theorem (Beurling’s Gap Theorem)

If the complement of X is long then GX = 0.

Alexei Poltoratski (Texas A&M) Spectral gaps and oscillations Abel Symposium, 8/2012 5 / 22

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A solution to the Gap Problem: Energy

Let Λ = {λ1, ..., λn} be a finite set of points on R. Consider the quantity L(Λ) =

  • k=l

log |λk − λl|. Physical interpretation: L(Λ) is the energy of a system of electrons placed at the points of Λ (2D Coulomb gas).

Alexei Poltoratski (Texas A&M) Spectral gaps and oscillations Abel Symposium, 8/2012 6 / 22

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A solution to the Gap Problem: Energy

Let Λ = {λ1, ..., λn} be a finite set of points on R. Consider the quantity L(Λ) =

  • k=l

log |λk − λl|. Physical interpretation: L(Λ) is the energy of a system of electrons placed at the points of Λ (2D Coulomb gas). Key example: Let I ⊂ R be an interval, Λ = I ∩ 1

D Z. Then

∆ = #Λ = D|I| + o(|I|), L(Λ) = ∆2 log |I| + O(|I|2) as follows from Stirling’s formula.

(Note: max L(Λ) is attained when the electrons are placed at the endpoints of the interval and at the roots of the Jacobi polynomial of degree k − 2.) Alexei Poltoratski (Texas A&M) Spectral gaps and oscillations Abel Symposium, 8/2012 6 / 22

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A solution to the Gap Problem: Short partitions

Let ... < a−2 < a−1 < a0 = 0 < a1 < a2 < ... be a two-sided sequence of real points. We say that the intervals In = (an, an+1] form a short partition of R if |In| → ∞ as |n| → ∞ and the sequence {In} is short, i.e.

  • |In|2

1 + dist2(In, 0) < ∞.

Alexei Poltoratski (Texas A&M) Spectral gaps and oscillations Abel Symposium, 8/2012 7 / 22

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A solution to the Gap Problem: D-uniform sequences

Let Λ = {λn} be a sequence of distinct real points. We say that Λ is D-uniform if if there exists a short partition In such that ∆n = D|In| + o(|In|) as n → ±∞ (density condition) and

  • n

∆2

n log |In| − Ln

1 + dist2(0, In) < ∞ (energy condition) where ∆n = #(Λ ∩ In) and Ln = L(Λ ∩ In) =

  • λk,λl∈In, λk=λl

log |λk − λl|.

Alexei Poltoratski (Texas A&M) Spectral gaps and oscillations Abel Symposium, 8/2012 8 / 22

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A solution to the Gap Problem: The main theorem

Recall GX = sup { a | ∃ µ ≡ 0, supp µ ⊂ X, such that ˆ µ = 0 on [0, a]}

Theorem

GX = sup { D | X contains a D-uniform sequence }.

Alexei Poltoratski (Texas A&M) Spectral gaps and oscillations Abel Symposium, 8/2012 9 / 22

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Corollaries: separated sequences

Interior BM density of a discrete sequence: D∗(Λ) = inf{d | ∃ long {In} such that #(Λ ∩ In) d|In|, ∀n}.

Alexei Poltoratski (Texas A&M) Spectral gaps and oscillations Abel Symposium, 8/2012 10 / 22

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Corollaries: separated sequences

Interior BM density of a discrete sequence: D∗(Λ) = inf{d | ∃ long {In} such that #(Λ ∩ In) d|In|, ∀n}. Λ is separated if |λn − λk| > c > 0 for all n = k.

Alexei Poltoratski (Texas A&M) Spectral gaps and oscillations Abel Symposium, 8/2012 10 / 22

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Corollaries: separated sequences

Interior BM density of a discrete sequence: D∗(Λ) = inf{d | ∃ long {In} such that #(Λ ∩ In) d|In|, ∀n}. Λ is separated if |λn − λk| > c > 0 for all n = k.

Corollary (M. Mitkovski, A.P.)

If Λ ⊂ R is a separated sequence then GΛ = D∗(Λ).

Alexei Poltoratski (Texas A&M) Spectral gaps and oscillations Abel Symposium, 8/2012 10 / 22

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Corollaries: separated sequences

Interior BM density of a discrete sequence: D∗(Λ) = inf{d | ∃ long {In} such that #(Λ ∩ In) d|In|, ∀n}. Λ is separated if |λn − λk| > c > 0 for all n = k.

Corollary (M. Mitkovski, A.P.)

If Λ ⊂ R is a separated sequence then GΛ = D∗(Λ).

Example

Let Λ = {λn} be a separated sequence such that λn − n = O(n

1 2 −ε). Then

GΛ = 1.

Alexei Poltoratski (Texas A&M) Spectral gaps and oscillations Abel Symposium, 8/2012 10 / 22

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The Type Problem

Let µ be a finite positive measure on the real line. For a > 0 denote by Ea the family of exponential functions Ea = {e2πist| s ∈ [0, a]}. The exponential type of µ: Tµ = inf{a > 0| Ea is complete in L2(µ)} if the set of such a is non-empty and infinity otherwise.

Problem

Find Tµ in terms of µ.

Alexei Poltoratski (Texas A&M) Spectral gaps and oscillations Abel Symposium, 8/2012 11 / 22

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The Type Problem: History

This question first appears in the work of Wiener, Kolmogorov and Krein in the context of stationary Gaussian processes in 1930-40’s. If µ is a spectral measure of a stationary Gaussian process, the property that Ea is complete in L2(µ) is equivalent to the property that the process at any time can be predicted from the data for the time period from 0 to a. The type problem can also be restated in terms of the Bernstein weighted approximation, see for instance Koosis’ book. Important connections with spectral theory of second order differential operators were studied by Gelfand, Levitan and Krein.

Alexei Poltoratski (Texas A&M) Spectral gaps and oscillations Abel Symposium, 8/2012 12 / 22

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Known results

A classical result by Krein (1945) says that if dµ = w(x)dx and log w(x)/(1 + x2) is summable then Tµ = ∞. A partial inverse, proved by Levinson and McKean (1964), holds for even monotone w.

Alexei Poltoratski (Texas A&M) Spectral gaps and oscillations Abel Symposium, 8/2012 13 / 22

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Known results

A classical result by Krein (1945) says that if dµ = w(x)dx and log w(x)/(1 + x2) is summable then Tµ = ∞. A partial inverse, proved by Levinson and McKean (1964), holds for even monotone w. A theorem by Duffin and Schaeffer (1945) says that if µ is a measure such that for any x ∈ R µ([x − L, x + L]) > d for some L, d > 0 then Tµ L (here µ is Poisson-finite, i.e.

  • dµ(x)/(1 + x2) < ∞).

Alexei Poltoratski (Texas A&M) Spectral gaps and oscillations Abel Symposium, 8/2012 13 / 22

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Known results

For discrete measures, in the case supp µ = Z, a deep result by Koosis shows an analogue of Krein’s result: if µ = w(n)δn where log w(n) 1 + n2 > −∞ then Tµ = 1.

Alexei Poltoratski (Texas A&M) Spectral gaps and oscillations Abel Symposium, 8/2012 14 / 22

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Known results

For discrete measures, in the case supp µ = Z, a deep result by Koosis shows an analogue of Krein’s result: if µ = w(n)δn where log w(n) 1 + n2 > −∞ then Tµ = 1. A recent result by Borichev and Sodin (2010) says that exponentially small perturbations of weight or support do not change the type of a measure.

Alexei Poltoratski (Texas A&M) Spectral gaps and oscillations Abel Symposium, 8/2012 14 / 22

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Type Theorem

Let τ be a finite positive finite measure on the real line. We say that a function W is a τ-summable weight if W is lower semi-continuous, tends to ∞ at ±∞, W ≥ 1 on R and W ∈ L1(τ).

Alexei Poltoratski (Texas A&M) Spectral gaps and oscillations Abel Symposium, 8/2012 15 / 22

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Type Theorem

Let τ be a finite positive finite measure on the real line. We say that a function W is a τ-summable weight if W is lower semi-continuous, tends to ∞ at ±∞, W ≥ 1 on R and W ∈ L1(τ).

Theorem

Let µ be a finite positive measure on the line. Then Tµ ≥ a > 0 if and

  • nly if for any µ-summable weight W and any 0 < D < a there exists a

D-uniform sequence Λ = {λn} ⊂ supp µ such that log W (λn) 1 + λn2 < ∞.

Alexei Poltoratski (Texas A&M) Spectral gaps and oscillations Abel Symposium, 8/2012 15 / 22

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Corollaries: discrete measures

Extension of Kousis’ result:

Corollary

Let A = {an} ⊂ R be a separated sequence and let µ = w(n)δan be a positive finite measure on A. Consider the set S of all subsequences {ank}

  • f A satisfying
  • k

log w(nk) 1 + nk2 > −∞. Then Tµ = sup

B∈S

D∗(B).

Alexei Poltoratski (Texas A&M) Spectral gaps and oscillations Abel Symposium, 8/2012 16 / 22

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Methods

Toeplitz approach (N. Makarov, A. P.). An example. Let µ be a positive finite singular measure on R. Suppose that there exists f ∈ L2(µ), f ⊥ e2πist for all s ∈ [0, a]. Then Kf µ is divisible by Sa = e2πiaz. Consider an inner function θ(z) in the upper halfplane satisfying Kµ(z) =

  • 1

t − z dµ(t) = i 1 − θ 1 + θ. By Clark theory the function F(z) = (1 − θ)Kf µ belongs to the model space H2 ⊖ θH2 in the upper halfplane. If F = SaG, then G belongs to the kernel of the Toeplitz operator T¯

θSa. Thus the type of µ is greater

than a iff kerT¯

θSa = ∅.

Alexei Poltoratski (Texas A&M) Spectral gaps and oscillations Abel Symposium, 8/2012 17 / 22

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Oscillations of Fourier Integrals

Theorem (Sturm, 1836; Hurwitz)

Let f (x) =

  • n≥m

(cne2πinx + ¯ cne−2πinx) be a smooth function. Then f has at least 2m sign changes on [−1, 1].

Alexei Poltoratski (Texas A&M) Spectral gaps and oscillations Abel Symposium, 8/2012 18 / 22

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Oscillations of Fourier Integrals

Theorem (Sturm, 1836; Hurwitz)

Let f (x) =

  • n≥m

(cne2πinx + ¯ cne−2πinx) be a smooth function. Then f has at least 2m sign changes on [−1, 1]. Generalizations?

Alexei Poltoratski (Texas A&M) Spectral gaps and oscillations Abel Symposium, 8/2012 18 / 22

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High-Pass Signals

Let f ∈ L1(R) be such that ˆ f = 0 on [0, a] for some a > 0.

Alexei Poltoratski (Texas A&M) Spectral gaps and oscillations Abel Symposium, 8/2012 19 / 22

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High-Pass Signals

Let f ∈ L1(R) be such that ˆ f = 0 on [0, a] for some a > 0. Such functions are important in Electrical Engineering: they correspond to so-called high-pass signals. Exercise: prove that a high-pass signal cannot be positive.

Alexei Poltoratski (Texas A&M) Spectral gaps and oscillations Abel Symposium, 8/2012 19 / 22

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High-Pass Signals

Let f ∈ L1(R) be such that ˆ f = 0 on [0, a] for some a > 0. Such functions are important in Electrical Engineering: they correspond to so-called high-pass signals. Exercise: prove that a high-pass signal cannot be positive.

Problem (Grinevich, 1965; included in Arnold Problems, 2000)

How fast should a function with a spectral gap (a high-pass signal)

  • scillate?

Alexei Poltoratski (Texas A&M) Spectral gaps and oscillations Abel Symposium, 8/2012 19 / 22

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A Theorem by Eremenko and Novikov

If f ∈ L1(R), denote by s(f , r) the number of sign changes of f on [0, r] (in any reasonable sense).

Alexei Poltoratski (Texas A&M) Spectral gaps and oscillations Abel Symposium, 8/2012 20 / 22

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A Theorem by Eremenko and Novikov

If f ∈ L1(R), denote by s(f , r) the number of sign changes of f on [0, r] (in any reasonable sense).

Theorem (Eremenko-Novikov, 2003)

Suppose f has a spectral gap, that is ˆ f vanishes on [0, a] for some a > 0. Then lim inf

r→∞

s(f , r) r ≥ a.

Alexei Poltoratski (Texas A&M) Spectral gaps and oscillations Abel Symposium, 8/2012 20 / 22

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A Theorem by Eremenko and Novikov

If f ∈ L1(R), denote by s(f , r) the number of sign changes of f on [0, r] (in any reasonable sense).

Theorem (Eremenko-Novikov, 2003)

Suppose f has a spectral gap, that is ˆ f vanishes on [0, a] for some a > 0. Then lim inf

r→∞

s(f , r) r ≥ a. The theorem proves a conjecture by Grinevich (1965). Extends results by Krein, Levin, Ostrovski and Ulanovski.

Alexei Poltoratski (Texas A&M) Spectral gaps and oscillations Abel Symposium, 8/2012 20 / 22

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Oscillations of Fourier Integrals

Let X, Y ⊂ R be closed sets. Denote G(X, Y ) = sup{ a | ∃ µ, µ > 0 on X, µ < 0 on Y , ˆ µ = 0 on [0, a]}

Alexei Poltoratski (Texas A&M) Spectral gaps and oscillations Abel Symposium, 8/2012 21 / 22

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Oscillations of Fourier Integrals

Let X, Y ⊂ R be closed sets. Denote G(X, Y ) = sup{ a | ∃ µ, µ > 0 on X, µ < 0 on Y , ˆ µ = 0 on [0, a]}

Theorem (M. Mitkovski, A.P.)

G(X, Y ) = sup{D |∃D-uniform {λn}, {λ2n} ⊂ X, {λ2n+1} ⊂ Y } (Note: D-uniform sequences are enumerated in increasing order.)

Alexei Poltoratski (Texas A&M) Spectral gaps and oscillations Abel Symposium, 8/2012 21 / 22

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Oscillations of Fourier Integrals

We say that a finite measure µ on R changes signs on (a, b) if there exist sets A, B ⊂ (a, b) such that µ(A) > 0 and µ(B) < 0.

Corollary

If µ has a spectral gap of the size D then there exists a D-uniform sequence {λn} such that µ changes signs on each (λn, λn+1).

Alexei Poltoratski (Texas A&M) Spectral gaps and oscillations Abel Symposium, 8/2012 22 / 22