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Uncertainty Principles for Fourier Multipliers Michael Northington V School of Mathematics Georgia Tech 6/6/2018 With Shahaf Nitzan (Ga Tech) and Alex Powell (Vanderbilt) Uncertainty Principles for Fourier Multipliers M. Northington V


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SLIDE 1

Uncertainty Principles for Fourier Multipliers

Michael Northington V

School of Mathematics Georgia Tech

6/6/2018 With Shahaf Nitzan (Ga Tech) and Alex Powell (Vanderbilt)

Uncertainty Principles for Fourier Multipliers

  • M. Northington V (mcnv3@gatech.edu)

June 6, 2018

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SLIDE 2

Table of Contents

Exponentials in Weighted Spaces Restrictions on Fourier Multipliers Applications to Balian-Low Type Theorems

Uncertainty Principles for Fourier Multipliers

  • M. Northington V (mcnv3@gatech.edu)

June 6, 2018

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SLIDE 3

Exponentials in Weighted Spaces

Let E = E(d) =

  • e2πik·x

k∈Zd.

Uncertainty Principles for Fourier Multipliers

  • M. Northington V (mcnv3@gatech.edu)

June 6, 2018

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SLIDE 4

Exponentials in Weighted Spaces

Let E = E(d) =

  • e2πik·x

k∈Zd. ◮ E is an orthonormal basis for L2(Td) = L2(Rd/Zd).

Uncertainty Principles for Fourier Multipliers

  • M. Northington V (mcnv3@gatech.edu)

June 6, 2018

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SLIDE 5

Exponentials in Weighted Spaces

Let E = E(d) =

  • e2πik·x

k∈Zd. ◮ E is an orthonormal basis for L2(Td) = L2(Rd/Zd). ◮ For a weight w satisfying w(x) > 0 almost everywhere,

consider L2

w(Td) with norm,

g2

L2

w(Td) =

  • Td |g(x)|2w(x)dx.

Uncertainty Principles for Fourier Multipliers

  • M. Northington V (mcnv3@gatech.edu)

June 6, 2018

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SLIDE 6

Exponentials in Weighted Spaces

Let E = E(d) =

  • e2πik·x

k∈Zd. ◮ E is an orthonormal basis for L2(Td) = L2(Rd/Zd). ◮ For a weight w satisfying w(x) > 0 almost everywhere,

consider L2

w(Td) with norm,

g2

L2

w(Td) =

  • Td |g(x)|2w(x)dx.

◮ Question 1: What basis properties does E have in L2 w(Td)

and can these be characterized in terms of w?

Uncertainty Principles for Fourier Multipliers

  • M. Northington V (mcnv3@gatech.edu)

June 6, 2018

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SLIDE 7

Exponentials in Weighted Spaces

Let E = E(d) =

  • e2πik·x

k∈Zd. ◮ E is an orthonormal basis for L2(Td) = L2(Rd/Zd). ◮ For a weight w satisfying w(x) > 0 almost everywhere,

consider L2

w(Td) with norm,

g2

L2

w(Td) =

  • Td |g(x)|2w(x)dx.

◮ Question 1: What basis properties does E have in L2 w(Td)

and can these be characterized in terms of w?

◮ Question 2: Why do we care about this setting?

Uncertainty Principles for Fourier Multipliers

  • M. Northington V (mcnv3@gatech.edu)

June 6, 2018

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SLIDE 8

Example 1: Gabor Systems and the Zak Transform

◮ Gabor System: For g ∈ L2(R),

G(g) := {e2πimxg(x − n)}m,n∈Z = {MmTng}m,n∈Z

Uncertainty Principles for Fourier Multipliers

  • M. Northington V (mcnv3@gatech.edu)

June 6, 2018

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SLIDE 9

Example 1: Gabor Systems and the Zak Transform

◮ Gabor System: For g ∈ L2(R),

G(g) := {e2πimxg(x − n)}m,n∈Z = {MmTng}m,n∈Z

◮ Zak Transform: Zg(x, y) := k∈Z g(x − k)e2πiky

Uncertainty Principles for Fourier Multipliers

  • M. Northington V (mcnv3@gatech.edu)

June 6, 2018

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SLIDE 10

Example 1: Gabor Systems and the Zak Transform

◮ Gabor System: For g ∈ L2(R),

G(g) := {e2πimxg(x − n)}m,n∈Z = {MmTng}m,n∈Z

◮ Zak Transform: Zg(x, y) := k∈Z g(x − k)e2πiky ◮ Converts TF-shifts to exponentials:

Z(MmTng) = e2πi(mx−ny)Zg Z(G(g)) = {e2πi(mx−ny)Z(g)}n,m∈Z

Uncertainty Principles for Fourier Multipliers

  • M. Northington V (mcnv3@gatech.edu)

June 6, 2018

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SLIDE 11

Example 1: Gabor Systems and the Zak Transform

◮ Gabor System: For g ∈ L2(R),

G(g) := {e2πimxg(x − n)}m,n∈Z = {MmTng}m,n∈Z

◮ Zak Transform: Zg(x, y) := k∈Z g(x − k)e2πiky ◮ Converts TF-shifts to exponentials:

Z(MmTng) = e2πi(mx−ny)Zg Z(G(g)) = {e2πi(mx−ny)Z(g)}n,m∈Z

◮ Leads to an isometric isomorphism:

◮ L2(R) → L2

w(T2), for w = |Zg|2

◮ G(g) → E = E(2). Uncertainty Principles for Fourier Multipliers

  • M. Northington V (mcnv3@gatech.edu)

June 6, 2018

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SLIDE 12

Example 2: Shift-Invariant Spaces and Periodization

◮ Integer Translates: For f ∈ L2(Rd), T(f) = {f(· − l)}l∈Zd

Uncertainty Principles for Fourier Multipliers

  • M. Northington V (mcnv3@gatech.edu)

June 6, 2018

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SLIDE 13

Example 2: Shift-Invariant Spaces and Periodization

◮ Integer Translates: For f ∈ L2(Rd), T(f) = {f(· − l)}l∈Zd ◮ Shift-Invariant Space: V (f) = span(T(f)) L2(Rd)

Uncertainty Principles for Fourier Multipliers

  • M. Northington V (mcnv3@gatech.edu)

June 6, 2018

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SLIDE 14

Example 2: Shift-Invariant Spaces and Periodization

◮ Integer Translates: For f ∈ L2(Rd), T(f) = {f(· − l)}l∈Zd ◮ Shift-Invariant Space: V (f) = span(T(f)) L2(Rd) ◮ Periodization: P

f(ξ) =

k∈Zd |

f(ξ − k)|2

Uncertainty Principles for Fourier Multipliers

  • M. Northington V (mcnv3@gatech.edu)

June 6, 2018

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SLIDE 15

Example 2: Shift-Invariant Spaces and Periodization

◮ Integer Translates: For f ∈ L2(Rd), T(f) = {f(· − l)}l∈Zd ◮ Shift-Invariant Space: V (f) = span(T(f)) L2(Rd) ◮ Periodization: P

f(ξ) =

k∈Zd |

f(ξ − k)|2

◮ If h ∈ V (f), there exists a Zd-periodic m, so that

h = m f.

Uncertainty Principles for Fourier Multipliers

  • M. Northington V (mcnv3@gatech.edu)

June 6, 2018

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SLIDE 16

Example 2: Shift-Invariant Spaces and Periodization

◮ Integer Translates: For f ∈ L2(Rd), T(f) = {f(· − l)}l∈Zd ◮ Shift-Invariant Space: V (f) = span(T(f)) L2(Rd) ◮ Periodization: P

f(ξ) =

k∈Zd |

f(ξ − k)|2

◮ If h ∈ V (f), there exists a Zd-periodic m, so that

h = m f.

◮ Leads to an isometric isomorphism:

◮ V (f) → L2

w(Td), for w = P

f

◮ h → m ◮ T(f) → E = E(d) Uncertainty Principles for Fourier Multipliers

  • M. Northington V (mcnv3@gatech.edu)

June 6, 2018

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Spanning and Independence Properties

Complete Frame

Let H be a Hilbert space, and H = {hn}∞

n=1 ⊂ H. ◮ H is complete if span H = H.

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Spanning and Independence Properties

Complete Frame

Let H be a Hilbert space, and H = {hn}∞

n=1 ⊂ H. ◮ H is complete if span H = H. ◮ H is a frame if it’s complete, and there exist

constants 0 < A ≤ B < ∞ with ∀h ∈ H, Ah2

H ≤ ∞

  • n=1

|h, hn|2 ≤ Bh2

H.

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SLIDE 19

Spanning and Independence Properties

Complete Frame

Let H be a Hilbert space, and H = {hn}∞

n=1 ⊂ H. ◮ H is complete if span H = H. ◮ H is a frame if it’s complete, and there exist

constants 0 < A ≤ B < ∞ with ∀h ∈ H, Ah2

H ≤ ∞

  • n=1

|h, hn|2 ≤ Bh2

H. ◮ Every frame is complete, with the additional

bonus that there exist a choice of coefficients such that h = cnhn with cnl2 ≍ hH.

Uncertainty Principles for Fourier Multipliers

  • M. Northington V (mcnv3@gatech.edu)

June 6, 2018

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Spanning and Independence Properties

Complete Exact Frame Riesz Basis

◮ H is a minimal system if for each n,

hn / ∈ span{hm : m = n}.

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Spanning and Independence Properties

Complete Exact Frame Riesz Basis

◮ H is a minimal system if for each n,

hn / ∈ span{hm : m = n}.

◮ H is exact if it is complete and minimal.

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Spanning and Independence Properties

Complete Exact Frame Riesz Basis

◮ H is a minimal system if for each n,

hn / ∈ span{hm : m = n}.

◮ H is exact if it is complete and minimal. ◮ H is a Riesz basis if there is an orthonormal

basis {en}∞

n=1 and a bounded invertible

  • perator T on H such that

Ten = hn.

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SLIDE 23

Spanning and Independence Properties

Complete Exact Frame Riesz Basis

◮ H is a minimal system if for each n,

hn / ∈ span{hm : m = n}.

◮ H is exact if it is complete and minimal. ◮ H is a Riesz basis if there is an orthonormal

basis {en}∞

n=1 and a bounded invertible

  • perator T on H such that

Ten = hn.

◮ Riesz basis =

⇒ frame; Riesz basis ⇐ ⇒ minimal frame.

Uncertainty Principles for Fourier Multipliers

  • M. Northington V (mcnv3@gatech.edu)

June 6, 2018

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SLIDE 24

(Cq)-systems (Olevskii, Nitzan ’07)

◮ Fix 2 ≤ q ≤ ∞. {hn}∞ n=1 ⊂ H is a (Cq)-system if for each

h ∈ H, h can be approximated to arbitrary accuracy by a finite sum anhn such that anlq ≤ ChH.

Uncertainty Principles for Fourier Multipliers

  • M. Northington V (mcnv3@gatech.edu)

June 6, 2018

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SLIDE 25

(Cq)-systems (Olevskii, Nitzan ’07)

◮ Fix 2 ≤ q ≤ ∞. {hn}∞ n=1 ⊂ H is a (Cq)-system if for each

h ∈ H, h can be approximated to arbitrary accuracy by a finite sum anhn such that anlq ≤ ChH.

◮ Equivalently, {hn}∞ n=1 is a (Cq)-system if and only if

hH ≤ C ∞

  • n=1

|h, hn|q′ 1/q′

Uncertainty Principles for Fourier Multipliers

  • M. Northington V (mcnv3@gatech.edu)

June 6, 2018

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SLIDE 26

(Cq)-systems (Olevskii, Nitzan ’07)

◮ Fix 2 ≤ q ≤ ∞. {hn}∞ n=1 ⊂ H is a (Cq)-system if for each

h ∈ H, h can be approximated to arbitrary accuracy by a finite sum anhn such that anlq ≤ ChH.

◮ Equivalently, {hn}∞ n=1 is a (Cq)-system if and only if

hH ≤ C ∞

  • n=1

|h, hn|q′ 1/q′

◮ (Cq) stands for completeness with lq control of coefficients.

Uncertainty Principles for Fourier Multipliers

  • M. Northington V (mcnv3@gatech.edu)

June 6, 2018

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SLIDE 27

(Cq)-systems (Olevskii, Nitzan ’07)

◮ Fix 2 ≤ q ≤ ∞. {hn}∞ n=1 ⊂ H is a (Cq)-system if for each

h ∈ H, h can be approximated to arbitrary accuracy by a finite sum anhn such that anlq ≤ ChH.

◮ Equivalently, {hn}∞ n=1 is a (Cq)-system if and only if

hH ≤ C ∞

  • n=1

|h, hn|q′ 1/q′

◮ (Cq) stands for completeness with lq control of coefficients. ◮ Bessel (C2)-system ⇐

⇒ frame

Uncertainty Principles for Fourier Multipliers

  • M. Northington V (mcnv3@gatech.edu)

June 6, 2018

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SLIDE 28

(Cq)-systems (Olevskii, Nitzan ’07)

◮ Fix 2 ≤ q ≤ ∞. {hn}∞ n=1 ⊂ H is a (Cq)-system if for each

h ∈ H, h can be approximated to arbitrary accuracy by a finite sum anhn such that anlq ≤ ChH.

◮ Equivalently, {hn}∞ n=1 is a (Cq)-system if and only if

hH ≤ C ∞

  • n=1

|h, hn|q′ 1/q′

◮ (Cq) stands for completeness with lq control of coefficients. ◮ Bessel (C2)-system ⇐

⇒ frame

◮ (Cq)-system =

⇒ (Cq′)-system for all q′ ≥ q

Uncertainty Principles for Fourier Multipliers

  • M. Northington V (mcnv3@gatech.edu)

June 6, 2018

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SLIDE 29

(Cq)-systems

Complete Exact (C2)-system Frame Riesz Basis (C∞)-system

q ր

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SLIDE 30

(Cq)-systems

Complete Exact (C2)-system Frame Riesz Basis (C∞)-system

q ր

Exact Riesz Basis

q ր For Exact E in L2

w(Td):

Uncertainty Principles for Fourier Multipliers

  • M. Northington V (mcnv3@gatech.edu)

June 6, 2018

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SLIDE 31

Back to Question 1

What is known about basis properties of E in L2

w(Td)?

Property Characterization Riesz Basis ∃0 < A ≤ B < ∞ such that A ≤ |w(x)| ≤ B, for a.e. x

Uncertainty Principles for Fourier Multipliers

  • M. Northington V (mcnv3@gatech.edu)

June 6, 2018

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SLIDE 32

Back to Question 1

What is known about basis properties of E in L2

w(Td)?

Property Characterization Riesz Basis ∃0 < A ≤ B < ∞ such that A ≤ |w(x)| ≤ B, for a.e. x Frame For S = {x : w(x) > 0}, w ∈ L∞(Td), w−1 ∈ L∞(S)

Uncertainty Principles for Fourier Multipliers

  • M. Northington V (mcnv3@gatech.edu)

June 6, 2018

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SLIDE 33

Back to Question 1

What is known about basis properties of E in L2

w(Td)?

Property Characterization Riesz Basis ∃0 < A ≤ B < ∞ such that A ≤ |w(x)| ≤ B, for a.e. x Frame For S = {x : w(x) > 0}, w ∈ L∞(Td), w−1 ∈ L∞(S) Minimal System w−1 ∈ L1(Td)

Uncertainty Principles for Fourier Multipliers

  • M. Northington V (mcnv3@gatech.edu)

June 6, 2018

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SLIDE 34

Back to Question 1

What is known about basis properties of E in L2

w(Td)?

Property Characterization Riesz Basis ∃0 < A ≤ B < ∞ such that A ≤ |w(x)| ≤ B, for a.e. x Frame For S = {x : w(x) > 0}, w ∈ L∞(Td), w−1 ∈ L∞(S) Minimal System w−1 ∈ L1(Td) Exact (Cq)-system w−1/2 ∈ Mq

2

Uncertainty Principles for Fourier Multipliers

  • M. Northington V (mcnv3@gatech.edu)

June 6, 2018

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SLIDE 35

Back to Question 1

What is known about basis properties of E in L2

w(Td)?

Property Characterization Riesz Basis ∃0 < A ≤ B < ∞ such that A ≤ |w(x)| ≤ B, for a.e. x Frame For S = {x : w(x) > 0}, w ∈ L∞(Td), w−1 ∈ L∞(S) Minimal System w−1 ∈ L1(Td) Exact (Cq)-system w−1/2 ∈ Mq

2 ◮ The first 3 are well known: de Boor, DeVore, Ron (’92), Ron,

Shen (’95), Bownik (’00)

Uncertainty Principles for Fourier Multipliers

  • M. Northington V (mcnv3@gatech.edu)

June 6, 2018

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SLIDE 36

Back to Question 1

What is known about basis properties of E in L2

w(Td)?

Property Characterization Riesz Basis ∃0 < A ≤ B < ∞ such that A ≤ |w(x)| ≤ B, for a.e. x Frame For S = {x : w(x) > 0}, w ∈ L∞(Td), w−1 ∈ L∞(S) Minimal System w−1 ∈ L1(Td) Exact (Cq)-system w−1/2 ∈ Mq

2 ◮ The first 3 are well known: de Boor, DeVore, Ron (’92), Ron,

Shen (’95), Bownik (’00)

◮ Nitzan, Olsen (’11) gave necessary and sufficient conditions

similar to the fourth characterization

Uncertainty Principles for Fourier Multipliers

  • M. Northington V (mcnv3@gatech.edu)

June 6, 2018

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SLIDE 37

What is Mq

2?

c−1 c0 c1 c2

−1 2

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SLIDE 38

What is Mq

2?

c−1 c0 c1 c2

−1 2

−1 −0.5 0.5 1 −2 −1 1 2

  • c
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SLIDE 39

What is Mq

2?

c−1 c0 c1 c2

−1 2

−1 −0.5 0.5 1 −2 −1 1 2

  • c

−1 −0.5 0.5 1 −2 −1 1 2

h = u c

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SLIDE 40

What is Mq

2?

c−1 c0 c1 c2

−1 2

−1 −0.5 0.5 1 −2 −1 1 2

  • c

−1 −0.5 0.5 1 −2 −1 1 2

h = u c

a−1 a0 a1 a2

−1 1 2

ˇ h

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SLIDE 41

What is Mq

2?

c−1 c0 c1 c2

−1 2

−1 −0.5 0.5 1 −2 −1 1 2

  • c

−1 −0.5 0.5 1 −2 −1 1 2

h = u c

a−1 a0 a1 a2

−1 1 2

ˇ h Tuc

Uncertainty Principles for Fourier Multipliers

  • M. Northington V (mcnv3@gatech.edu)

June 6, 2018

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SLIDE 42

What is Mq

2?

◮ For a periodic function u and a finite sequence c = {cn}n∈Zd,

define Tu by Tuc = u c.

Uncertainty Principles for Fourier Multipliers

  • M. Northington V (mcnv3@gatech.edu)

June 6, 2018

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SLIDE 43

What is Mq

2?

◮ For a periodic function u and a finite sequence c = {cn}n∈Zd,

define Tu by Tuc = u c.

◮ Then, u ∈ Mq 2, if for all such c,

Tuclq(Zd) ≤ Ccl2(Zd)

Uncertainty Principles for Fourier Multipliers

  • M. Northington V (mcnv3@gatech.edu)

June 6, 2018

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SLIDE 44

What is Mq

2?

◮ For a periodic function u and a finite sequence c = {cn}n∈Zd,

define Tu by Tuc = u c.

◮ Then, u ∈ Mq 2, if for all such c,

Tuclq(Zd) ≤ Ccl2(Zd)

◮ Properties and Special Cases:

◮ If q < 2, Mq

2 = {0}

Uncertainty Principles for Fourier Multipliers

  • M. Northington V (mcnv3@gatech.edu)

June 6, 2018

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SLIDE 45

What is Mq

2?

◮ For a periodic function u and a finite sequence c = {cn}n∈Zd,

define Tu by Tuc = u c.

◮ Then, u ∈ Mq 2, if for all such c,

Tuclq(Zd) ≤ Ccl2(Zd)

◮ Properties and Special Cases:

◮ If q < 2, Mq

2 = {0}

◮ M2

2 = L∞(Td) (Agrees with Riesz basis characterization)

Uncertainty Principles for Fourier Multipliers

  • M. Northington V (mcnv3@gatech.edu)

June 6, 2018

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SLIDE 46

What is Mq

2?

◮ For a periodic function u and a finite sequence c = {cn}n∈Zd,

define Tu by Tuc = u c.

◮ Then, u ∈ Mq 2, if for all such c,

Tuclq(Zd) ≤ Ccl2(Zd)

◮ Properties and Special Cases:

◮ If q < 2, Mq

2 = {0}

◮ M2

2 = L∞(Td) (Agrees with Riesz basis characterization)

◮ M∞

2 = L2(Td) (Agrees with minimal system characterization)

Uncertainty Principles for Fourier Multipliers

  • M. Northington V (mcnv3@gatech.edu)

June 6, 2018

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SLIDE 47

Table of Contents

Exponentials in Weighted Spaces Restrictions on Fourier Multipliers Applications to Balian-Low Type Theorems

Uncertainty Principles for Fourier Multipliers

  • M. Northington V (mcnv3@gatech.edu)

June 6, 2018

slide-48
SLIDE 48

What can prevent u from being a bounded multiplier?

Based on connections with uncertainty principles (to be described later in the talk) we wish to study what properties would prevent a function u from being in Mq

2.

Uncertainty Principles for Fourier Multipliers

  • M. Northington V (mcnv3@gatech.edu)

June 6, 2018

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SLIDE 49

What can prevent u from being a bounded multiplier?

Based on connections with uncertainty principles (to be described later in the talk) we wish to study what properties would prevent a function u from being in Mq

2.

If u ∈ L∞(Td) = M2

2, then u ∈ Mq 2 for all q ≥ 2, but if u is

unbounded it will fail to be in Mq

2 for small q.

Uncertainty Principles for Fourier Multipliers

  • M. Northington V (mcnv3@gatech.edu)

June 6, 2018

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SLIDE 50

What can prevent u from being a bounded multiplier?

Based on connections with uncertainty principles (to be described later in the talk) we wish to study what properties would prevent a function u from being in Mq

2.

If u ∈ L∞(Td) = M2

2, then u ∈ Mq 2 for all q ≥ 2, but if u is

unbounded it will fail to be in Mq

2 for small q.

We will assume that w = 1/u is smooth in the sense of Sobolev spaces, and that w has a zero or a set of zeros, and we will try to determine when the level of smoothness or the size of the zero set becomes too large to allow u ∈ Mq

2.

Uncertainty Principles for Fourier Multipliers

  • M. Northington V (mcnv3@gatech.edu)

June 6, 2018

slide-51
SLIDE 51

What can prevent u from being a bounded multiplier?

Based on connections with uncertainty principles (to be described later in the talk) we wish to study what properties would prevent a function u from being in Mq

2.

If u ∈ L∞(Td) = M2

2, then u ∈ Mq 2 for all q ≥ 2, but if u is

unbounded it will fail to be in Mq

2 for small q.

We will assume that w = 1/u is smooth in the sense of Sobolev spaces, and that w has a zero or a set of zeros, and we will try to determine when the level of smoothness or the size of the zero set becomes too large to allow u ∈ Mq

2.

Sobolev Space: Hs(Td) = {f ∈ L2(Td) :

  • k∈Zd

|k|2s| f(k)|2 < ∞}

Uncertainty Principles for Fourier Multipliers

  • M. Northington V (mcnv3@gatech.edu)

June 6, 2018

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SLIDE 52

Results with a single zero

Theorem (Nitzan, M.N., Powell)

Let d

2 ≤ s ≤ d, and suppose w ∈ Hs(Td) and w has a zero.

Uncertainty Principles for Fourier Multipliers

  • M. Northington V (mcnv3@gatech.edu)

June 6, 2018

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SLIDE 53

Results with a single zero

Theorem (Nitzan, M.N., Powell)

Let d

2 ≤ s ≤ d, and suppose w ∈ Hs(Td) and w has a zero.

  • 1. If d

2 ≤ s < d 2 + 1, then u = 1 w /

∈ Mq

2 for any q satisfying

2 ≤ q ≤

d d−s.

Uncertainty Principles for Fourier Multipliers

  • M. Northington V (mcnv3@gatech.edu)

June 6, 2018

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SLIDE 54

Results with a single zero

Theorem (Nitzan, M.N., Powell)

Let d

2 ≤ s ≤ d, and suppose w ∈ Hs(Td) and w has a zero.

  • 1. If d

2 ≤ s < d 2 + 1, then u = 1 w /

∈ Mq

2 for any q satisfying

2 ≤ q ≤

d d−s. Conversely, for any q > d d−s there exists

w ∈ Hs(Td) such that w has a zero and u = 1

w ∈ Mq 2.

Uncertainty Principles for Fourier Multipliers

  • M. Northington V (mcnv3@gatech.edu)

June 6, 2018

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SLIDE 55

Results with a single zero

Theorem (Nitzan, M.N., Powell)

Let d

2 ≤ s ≤ d, and suppose w ∈ Hs(Td) and w has a zero.

  • 1. If d

2 ≤ s < d 2 + 1, then u = 1 w /

∈ Mq

2 for any q satisfying

2 ≤ q ≤

d d−s. Conversely, for any q > d d−s there exists

w ∈ Hs(Td) such that w has a zero and u = 1

w ∈ Mq 2.

  • 2. If s = d

2 + 1, then u = 1 w /

∈ Mq

2 for any q satisfying

2 ≤ q <

2d d−2.

Uncertainty Principles for Fourier Multipliers

  • M. Northington V (mcnv3@gatech.edu)

June 6, 2018

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SLIDE 56

Results with a single zero

Theorem (Nitzan, M.N., Powell)

Let d

2 ≤ s ≤ d, and suppose w ∈ Hs(Td) and w has a zero.

  • 1. If d

2 ≤ s < d 2 + 1, then u = 1 w /

∈ Mq

2 for any q satisfying

2 ≤ q ≤

d d−s. Conversely, for any q > d d−s there exists

w ∈ Hs(Td) such that w has a zero and u = 1

w ∈ Mq 2.

  • 2. If s = d

2 + 1, then u = 1 w /

∈ Mq

2 for any q satisfying

2 ≤ q <

2d d−2. Conversely, there exists w ∈ C∞(Td) with a

zero, such that u = 1/w ∈ Mq

2 for any q > 2d d−2.

Uncertainty Principles for Fourier Multipliers

  • M. Northington V (mcnv3@gatech.edu)

June 6, 2018

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SLIDE 57

Results with a single zero

Theorem (Nitzan, M.N., Powell)

Let d

2 ≤ s ≤ d, and suppose w ∈ Hs(Td) and w has a zero.

  • 1. If d

2 ≤ s < d 2 + 1, then u = 1 w /

∈ Mq

2 for any q satisfying

2 ≤ q ≤

d d−s. Conversely, for any q > d d−s there exists

w ∈ Hs(Td) such that w has a zero and u = 1

w ∈ Mq 2.

  • 2. If s = d

2 + 1, then u = 1 w /

∈ Mq

2 for any q satisfying

2 ≤ q <

2d d−2. Conversely, there exists w ∈ C∞(Td) with a

zero, such that u = 1/w ∈ Mq

2 for any q > 2d d−2. ◮ Proof relies on Sobolev Embedding Theorem in H¨

  • lder spaces.

Uncertainty Principles for Fourier Multipliers

  • M. Northington V (mcnv3@gatech.edu)

June 6, 2018

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SLIDE 58

Results with a single zero

Theorem (Nitzan, M.N., Powell)

Let d

2 ≤ s ≤ d, and suppose w ∈ Hs(Td) and w has a zero.

  • 1. If d

2 ≤ s < d 2 + 1, then u = 1 w /

∈ Mq

2 for any q satisfying

2 ≤ q ≤

d d−s. Conversely, for any q > d d−s there exists

w ∈ Hs(Td) such that w has a zero and u = 1

w ∈ Mq 2.

  • 2. If s = d

2 + 1, then u = 1 w /

∈ Mq

2 for any q satisfying

2 ≤ q <

2d d−2. Conversely, there exists w ∈ C∞(Td) with a

zero, such that u = 1/w ∈ Mq

2 for any q > 2d d−2. ◮ Proof relies on Sobolev Embedding Theorem in H¨

  • lder spaces.

◮ For s > d 2 + 1, we can’t say more than the bound in part 2

unless we require a zero of a larger order.

Uncertainty Principles for Fourier Multipliers

  • M. Northington V (mcnv3@gatech.edu)

June 6, 2018

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SLIDE 59

Zero Sets of Larger Hausdorff Dimension

◮ We are also interested in finding a similar result when the zero

set of w = 1

u has a larger Hausdorff dimension.

Uncertainty Principles for Fourier Multipliers

  • M. Northington V (mcnv3@gatech.edu)

June 6, 2018

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SLIDE 60

Zero Sets of Larger Hausdorff Dimension

◮ We are also interested in finding a similar result when the zero

set of w = 1

u has a larger Hausdorff dimension. ◮ In this case, our functions may not be continuous, so we

define our zero set as Σ(w) =

  • x ∈ Td : lim sup

τ→0

1 |Bτ|

  • Bτ(x)

|w(y)|dy = 0

  • .

Uncertainty Principles for Fourier Multipliers

  • M. Northington V (mcnv3@gatech.edu)

June 6, 2018

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SLIDE 61

Zero Sets of Larger Hausdorff Dimension

◮ We are also interested in finding a similar result when the zero

set of w = 1

u has a larger Hausdorff dimension. ◮ In this case, our functions may not be continuous, so we

define our zero set as Σ(w) =

  • x ∈ Td : lim sup

τ→0

1 |Bτ|

  • Bτ(x)

|w(y)|dy = 0

  • .

◮ A similar question was studied by Jiang, Lin (’03) and

Schikorra (’13) with the Fourier multiplier condition replaced with an integrability condition.

Uncertainty Principles for Fourier Multipliers

  • M. Northington V (mcnv3@gatech.edu)

June 6, 2018

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SLIDE 62

Zero Sets of Larger Hausdorff Dimension

Theorem (Nitzan, M.N., Powell)

Let 0 ≤ σ ≤ d and d−σ

2

≤ s ≤ d − σ. Suppose w ∈ W s,2(Td) and Hσ(Σ(w)) > 0.

Uncertainty Principles for Fourier Multipliers

  • M. Northington V (mcnv3@gatech.edu)

June 6, 2018

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SLIDE 63

Zero Sets of Larger Hausdorff Dimension

Theorem (Nitzan, M.N., Powell)

Let 0 ≤ σ ≤ d and d−σ

2

≤ s ≤ d − σ. Suppose w ∈ W s,2(Td) and Hσ(Σ(w)) > 0.

  • 1. If d−σ

2

≤ s < min(d − σ, d

2 + 1), then u = 1 w /

∈ Mq

2 for any q

satisfying 2 ≤ q ≤

d d−s−σ/2.

Uncertainty Principles for Fourier Multipliers

  • M. Northington V (mcnv3@gatech.edu)

June 6, 2018

slide-64
SLIDE 64

Zero Sets of Larger Hausdorff Dimension

Theorem (Nitzan, M.N., Powell)

Let 0 ≤ σ ≤ d and d−σ

2

≤ s ≤ d − σ. Suppose w ∈ W s,2(Td) and Hσ(Σ(w)) > 0.

  • 1. If d−σ

2

≤ s < min(d − σ, d

2 + 1), then u = 1 w /

∈ Mq

2 for any q

satisfying 2 ≤ q ≤

d d−s−σ/2.

  • 2. If s = d

2 + 1 ≤ d − σ, then u = 1 w /

∈ Mq

2 for any q satisfying

2 ≤ q <

2d d−2−σ.

Uncertainty Principles for Fourier Multipliers

  • M. Northington V (mcnv3@gatech.edu)

June 6, 2018

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SLIDE 65

Zero Sets of Larger Hausdorff Dimension

Theorem (Nitzan, M.N., Powell)

Let 0 ≤ σ ≤ d and d−σ

2

≤ s ≤ d − σ. Suppose w ∈ W s,2(Td) and Hσ(Σ(w)) > 0.

  • 1. If d−σ

2

≤ s < min(d − σ, d

2 + 1), then u = 1 w /

∈ Mq

2 for any q

satisfying 2 ≤ q ≤

d d−s−σ/2.

  • 2. If s = d

2 + 1 ≤ d − σ, then u = 1 w /

∈ Mq

2 for any q satisfying

2 ≤ q <

2d d−2−σ.

  • 3. If s = d − σ < d

2 + 1, then u = 1 w /

∈ Mq

2 for any q.

Uncertainty Principles for Fourier Multipliers

  • M. Northington V (mcnv3@gatech.edu)

June 6, 2018

slide-66
SLIDE 66

Zero Sets of Larger Hausdorff Dimension

Theorem (Nitzan, M.N., Powell)

Let 0 ≤ σ ≤ d and d−σ

2

≤ s ≤ d − σ. Suppose w ∈ W s,2(Td) and Hσ(Σ(w)) > 0.

  • 1. If d−σ

2

≤ s < min(d − σ, d

2 + 1), then u = 1 w /

∈ Mq

2 for any q

satisfying 2 ≤ q ≤

d d−s−σ/2.

  • 2. If s = d

2 + 1 ≤ d − σ, then u = 1 w /

∈ Mq

2 for any q satisfying

2 ≤ q <

2d d−2−σ.

  • 3. If s = d − σ < d

2 + 1, then u = 1 w /

∈ Mq

2 for any q. ◮ Part 3 is sharp, but parts 1 and 2 likely are not.

Uncertainty Principles for Fourier Multipliers

  • M. Northington V (mcnv3@gatech.edu)

June 6, 2018

slide-67
SLIDE 67

Zero Sets of Larger Hausdorff Dimension

Theorem (Nitzan, M.N., Powell)

Let 0 ≤ σ ≤ d and d−σ

2

≤ s ≤ d − σ. Suppose w ∈ W s,2(Td) and Hσ(Σ(w)) > 0.

  • 1. If d−σ

2

≤ s < min(d − σ, d

2 + 1), then u = 1 w /

∈ Mq

2 for any q

satisfying 2 ≤ q ≤

d d−s−σ/2.

  • 2. If s = d

2 + 1 ≤ d − σ, then u = 1 w /

∈ Mq

2 for any q satisfying

2 ≤ q <

2d d−2−σ.

  • 3. If s = d − σ < d

2 + 1, then u = 1 w /

∈ Mq

2 for any q. ◮ Part 3 is sharp, but parts 1 and 2 likely are not. ◮ Based on the results of Jiang, Lin (’03) and Schikorra (’13), I

(we?) conjecture that part 1 holds with 2 ≤ q ≤

d−σ d−σ−s.

Uncertainty Principles for Fourier Multipliers

  • M. Northington V (mcnv3@gatech.edu)

June 6, 2018

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SLIDE 68

Zero Sets of Larger Hausdorff Dimension

Theorem (Nitzan, M.N., Powell)

Let 0 ≤ σ ≤ d and d−σ

2

≤ s ≤ d − σ. Suppose w ∈ W s,2(Td) and Hσ(Σ(w)) > 0.

  • 1. If d−σ

2

≤ s < min(d − σ, d

2 + 1), then u = 1 w /

∈ Mq

2 for any q

satisfying 2 ≤ q ≤

d d−s−σ/2.

  • 2. If s = d

2 + 1 ≤ d − σ, then u = 1 w /

∈ Mq

2 for any q satisfying

2 ≤ q <

2d d−2−σ.

  • 3. If s = d − σ < d

2 + 1, then u = 1 w /

∈ Mq

2 for any q. ◮ Part 3 is sharp, but parts 1 and 2 likely are not. ◮ Based on the results of Jiang, Lin (’03) and Schikorra (’13), I

(we?) conjecture that part 1 holds with 2 ≤ q ≤

d−σ d−σ−s. ◮ Proof uses a version of Poincare Inequality from Jiang, Lin

(’03) and Schikorra (’13).

Uncertainty Principles for Fourier Multipliers

  • M. Northington V (mcnv3@gatech.edu)

June 6, 2018

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SLIDE 69

Extensions

We have a few variations of these multiplier results

Uncertainty Principles for Fourier Multipliers

  • M. Northington V (mcnv3@gatech.edu)

June 6, 2018

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SLIDE 70

Extensions

We have a few variations of these multiplier results

◮ Multipliers in Mq p for certain ranges of p and q.

Uncertainty Principles for Fourier Multipliers

  • M. Northington V (mcnv3@gatech.edu)

June 6, 2018

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SLIDE 71

Extensions

We have a few variations of these multiplier results

◮ Multipliers in Mq p for certain ranges of p and q. ◮ Matrix-weights where W(x) is a K × K matrix

Uncertainty Principles for Fourier Multipliers

  • M. Northington V (mcnv3@gatech.edu)

June 6, 2018

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SLIDE 72

Extensions

We have a few variations of these multiplier results

◮ Multipliers in Mq p for certain ranges of p and q. ◮ Matrix-weights where W(x) is a K × K matrix ◮ Nonsymmetric verisons where the Sobolev smoothness is

different in different axis directions.

Uncertainty Principles for Fourier Multipliers

  • M. Northington V (mcnv3@gatech.edu)

June 6, 2018

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SLIDE 73

Table of Contents

Exponentials in Weighted Spaces Restrictions on Fourier Multipliers Applications to Balian-Low Type Theorems

Uncertainty Principles for Fourier Multipliers

  • M. Northington V (mcnv3@gatech.edu)

June 6, 2018

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SLIDE 74

The Balian-Low Theorem

Theorem (Battle (’88) Daubechies, Coifman, Semmes (’90))

Let f ∈ L2(R). If G(f) = {e2πimxf(x − n)}m,n∈Z is a Riesz basis for L2(R), then

  • R

|x|2|f(x)|2dx

R

|ξ|2| f(ξ)|2dξ

  • = ∞.

Uncertainty Principles for Fourier Multipliers

  • M. Northington V (mcnv3@gatech.edu)

June 6, 2018

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SLIDE 75

The Balian-Low Theorem

Theorem (Battle (’88) Daubechies, Coifman, Semmes (’90))

Let f ∈ L2(R). If G(f) = {e2πimxf(x − n)}m,n∈Z is a Riesz basis for L2(R), then

  • R

|x|2|f(x)|2dx

R

|ξ|2| f(ξ)|2dξ

  • = ∞.

◮ Conclusion rephrased: “either f /

∈ H1(R) or f / ∈ H1(R).”

Uncertainty Principles for Fourier Multipliers

  • M. Northington V (mcnv3@gatech.edu)

June 6, 2018

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SLIDE 76

The Balian-Low Theorem

Theorem (Battle (’88) Daubechies, Coifman, Semmes (’90))

Let f ∈ L2(R). If G(f) = {e2πimxf(x − n)}m,n∈Z is a Riesz basis for L2(R), then

  • R

|x|2|f(x)|2dx

R

|ξ|2| f(ξ)|2dξ

  • = ∞.

◮ Conclusion rephrased: “either f /

∈ H1(R) or f / ∈ H1(R).”

◮ Assume f,

f ∈ H1(R). Smoothness passed to Zf ∈ H1

loc(R2).

Uncertainty Principles for Fourier Multipliers

  • M. Northington V (mcnv3@gatech.edu)

June 6, 2018

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SLIDE 77

The Balian-Low Theorem

Theorem (Battle (’88) Daubechies, Coifman, Semmes (’90))

Let f ∈ L2(R). If G(f) = {e2πimxf(x − n)}m,n∈Z is a Riesz basis for L2(R), then

  • R

|x|2|f(x)|2dx

R

|ξ|2| f(ξ)|2dξ

  • = ∞.

◮ Conclusion rephrased: “either f /

∈ H1(R) or f / ∈ H1(R).”

◮ Assume f,

f ∈ H1(R). Smoothness passed to Zf ∈ H1

loc(R2). ◮ Quasiperiodicity of Zf forces it to have a (essential) zero.

Uncertainty Principles for Fourier Multipliers

  • M. Northington V (mcnv3@gatech.edu)

June 6, 2018

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SLIDE 78

The Balian-Low Theorem

Theorem (Battle (’88) Daubechies, Coifman, Semmes (’90))

Let f ∈ L2(R). If G(f) = {e2πimxf(x − n)}m,n∈Z is a Riesz basis for L2(R), then

  • R

|x|2|f(x)|2dx

R

|ξ|2| f(ξ)|2dξ

  • = ∞.

◮ Conclusion rephrased: “either f /

∈ H1(R) or f / ∈ H1(R).”

◮ Assume f,

f ∈ H1(R). Smoothness passed to Zf ∈ H1

loc(R2). ◮ Quasiperiodicity of Zf forces it to have a (essential) zero. ◮ The Riesz basis property forces |Zf| ≥ A > 0, which gives

contradiction.

Uncertainty Principles for Fourier Multipliers

  • M. Northington V (mcnv3@gatech.edu)

June 6, 2018

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SLIDE 79

Sharp (Cq)-system BLT

Theorem (Nitzan, M.N, Powell)

Fix q > 2. If G(f, 1, 1) = {e2πimxf(x − n)}m,n∈Z is an exact (Cq)-system for L2(R), then

  • R

|x|4(1−1/q)|f(x)|2dx

R

|ξ|4(1−1/q)| f(ξ)|2dξ

  • = ∞.

(1) Equivalently, either f / ∈ H2(1−1/q)(R) or f / ∈ H2(1−1/q)(R).

Uncertainty Principles for Fourier Multipliers

  • M. Northington V (mcnv3@gatech.edu)

June 6, 2018

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SLIDE 80

Sharp (Cq)-system BLT

Theorem (Nitzan, M.N, Powell)

Fix q > 2. If G(f, 1, 1) = {e2πimxf(x − n)}m,n∈Z is an exact (Cq)-system for L2(R), then

  • R

|x|4(1−1/q)|f(x)|2dx

R

|ξ|4(1−1/q)| f(ξ)|2dξ

  • = ∞.

(1) Equivalently, either f / ∈ H2(1−1/q)(R) or f / ∈ H2(1−1/q)(R).

◮ Follows from single zero multiplier result.

Uncertainty Principles for Fourier Multipliers

  • M. Northington V (mcnv3@gatech.edu)

June 6, 2018

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SLIDE 81

Sharp (Cq)-system BLT

Theorem (Nitzan, M.N, Powell)

Fix q > 2. If G(f, 1, 1) = {e2πimxf(x − n)}m,n∈Z is an exact (Cq)-system for L2(R), then

  • R

|x|4(1−1/q)|f(x)|2dx

R

|ξ|4(1−1/q)| f(ξ)|2dξ

  • = ∞.

(1) Equivalently, either f / ∈ H2(1−1/q)(R) or f / ∈ H2(1−1/q)(R).

◮ Follows from single zero multiplier result. ◮ Nitzan, Olsen (’11) proved similar result, with an additional ǫ

  • n the weight, as well as non-symmetric versions.

Uncertainty Principles for Fourier Multipliers

  • M. Northington V (mcnv3@gatech.edu)

June 6, 2018

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SLIDE 82

Sharp (Cq)-system BLT

Theorem (Nitzan, M.N, Powell)

Fix q > 2. If G(f, 1, 1) = {e2πimxf(x − n)}m,n∈Z is an exact (Cq)-system for L2(R), then

  • R

|x|4(1−1/q)|f(x)|2dx

R

|ξ|4(1−1/q)| f(ξ)|2dξ

  • = ∞.

(1) Equivalently, either f / ∈ H2(1−1/q)(R) or f / ∈ H2(1−1/q)(R).

◮ Follows from single zero multiplier result. ◮ Nitzan, Olsen (’11) proved similar result, with an additional ǫ

  • n the weight, as well as non-symmetric versions.

◮ The q = ∞ case gives the BLT for exact systems (originally

due to Daubechies, Janssen (’93)) and nonsymmetric versions were given by Heil and Powell (’09)

Uncertainty Principles for Fourier Multipliers

  • M. Northington V (mcnv3@gatech.edu)

June 6, 2018

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SLIDE 83

Shift-Invariant Spaces with Extra Invariance

For a given shift-invariant space V = V (f) ⊂ L2(Rd),

◮ For Γ ⊂ Rd, V is Γ-invariant if TγV ⊂ V for all γ ∈ Γ.

Uncertainty Principles for Fourier Multipliers

  • M. Northington V (mcnv3@gatech.edu)

June 6, 2018

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SLIDE 84

Shift-Invariant Spaces with Extra Invariance

For a given shift-invariant space V = V (f) ⊂ L2(Rd),

◮ For Γ ⊂ Rd, V is Γ-invariant if TγV ⊂ V for all γ ∈ Γ. ◮ For any lattice Γ ⊃ Zd, there exists f ∈ L2(Rd) such that

V (f) is precisely Γ-invariant

◮ d = 1 by Aldroubi, Cabrelli, Heil, Kornelson, Molter (2010) ◮ d > 1 by Anastasio, Cabrelli, Paternostro (2011) Uncertainty Principles for Fourier Multipliers

  • M. Northington V (mcnv3@gatech.edu)

June 6, 2018

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SLIDE 85

Shift-Invariant Spaces with Extra Invariance

For a given shift-invariant space V = V (f) ⊂ L2(Rd),

◮ For Γ ⊂ Rd, V is Γ-invariant if TγV ⊂ V for all γ ∈ Γ. ◮ For any lattice Γ ⊃ Zd, there exists f ∈ L2(Rd) such that

V (f) is precisely Γ-invariant

◮ d = 1 by Aldroubi, Cabrelli, Heil, Kornelson, Molter (2010) ◮ d > 1 by Anastasio, Cabrelli, Paternostro (2011)

◮ Aldroubi, Sun, Wang (2011), and Tessera, Wang (2014),

showed that Balian-Low type results exist for shift-invariant spaces with extra-invariance.

Uncertainty Principles for Fourier Multipliers

  • M. Northington V (mcnv3@gatech.edu)

June 6, 2018

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SLIDE 86

(Cq)-system SIS BLT

Theorem (Nitzan, M.N., Powell)

Fix 2 ≤ q ≤ ∞. Suppose that f ∈ L2(R) is nonzero and V (f) is

1 N Z-invariant. If T(f) is a minimal (Cq)-system in V (f), then

  • R

|x|2(1−1/q) |f(x)|2dx = ∞. Equivalently, f / ∈ H1−1/q(R).

◮ If T(f) is a minimal system for V (f), then T(f) is a

(C∞)-system. Thus, the q = ∞ case gives us a result for minimal systems.

◮ (Hardin, M.N., Powell) In the q = 2 case, the result holds in

higher dimensions, and without assuming minimality. (i.e., frames and not necessarily Riesz bases)

Uncertainty Principles for Fourier Multipliers

  • M. Northington V (mcnv3@gatech.edu)

June 6, 2018

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SLIDE 87

Minimal (Cq)-result Higher Dimensions

Theorem

Fix q such that 2 ≤ q ≤ ∞, and let s = min(d( 1

2 − 1 q) + 1 2, 1). Let

0 = f ∈ L2(Rd), and suppose V (f) is invariant under some non-integer shift. If T (f) is a minimal (Cq)-system for V (f) then

  • Rd |x|2s|f(x)|2dx = ∞.

Uncertainty Principles for Fourier Multipliers

  • M. Northington V (mcnv3@gatech.edu)

June 6, 2018

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SLIDE 88

Minimal (Cq)-result Higher Dimensions

Theorem

Fix q such that 2 ≤ q ≤ ∞, and let s = min(d( 1

2 − 1 q) + 1 2, 1). Let

0 = f ∈ L2(Rd), and suppose V (f) is invariant under some non-integer shift. If T (f) is a minimal (Cq)-system for V (f) then

  • Rd |x|2s|f(x)|2dx = ∞.

◮ Can be extended to finitely many generators, requires a

matrix-weight version of the Fourier multiplier results.

Uncertainty Principles for Fourier Multipliers

  • M. Northington V (mcnv3@gatech.edu)

June 6, 2018

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SLIDE 89

Minimal (Cq)-result Higher Dimensions

Theorem

Fix q such that 2 ≤ q ≤ ∞, and let s = min(d( 1

2 − 1 q) + 1 2, 1). Let

0 = f ∈ L2(Rd), and suppose V (f) is invariant under some non-integer shift. If T (f) is a minimal (Cq)-system for V (f) then

  • Rd |x|2s|f(x)|2dx = ∞.

◮ Can be extended to finitely many generators, requires a

matrix-weight version of the Fourier multiplier results.

◮ Probably the sharp s is 1 − 1/q in all dimensions.

Uncertainty Principles for Fourier Multipliers

  • M. Northington V (mcnv3@gatech.edu)

June 6, 2018

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SLIDE 90

Where does the zero come from?

◮ Extra-invarance can be characterized in terms of P

f. (Aldroubi, Cabrelli, Heil, Kornelson, Molter (2010), Anastasio, Cabrelli, Paternostro (2011))

Uncertainty Principles for Fourier Multipliers

  • M. Northington V (mcnv3@gatech.edu)

June 6, 2018

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SLIDE 91

Where does the zero come from?

◮ Extra-invarance can be characterized in terms of P

f. (Aldroubi, Cabrelli, Heil, Kornelson, Molter (2010), Anastasio, Cabrelli, Paternostro (2011))

◮ The condition is somewhat technical, so lets look at an

example of f ∈ L2(R2) and V (f) having 1

2Z2-invariance.

Uncertainty Principles for Fourier Multipliers

  • M. Northington V (mcnv3@gatech.edu)

June 6, 2018

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SLIDE 92

Where does the zero come from?

◮ Extra-invarance can be characterized in terms of P

f. (Aldroubi, Cabrelli, Heil, Kornelson, Molter (2010), Anastasio, Cabrelli, Paternostro (2011))

◮ The condition is somewhat technical, so lets look at an

example of f ∈ L2(R2) and V (f) having 1

2Z2-invariance.

P(x) =

  • k∈Z2

| f(x − k)|2 =

  • k∈Z2

| f(x − 2k)|2 +

  • k∈Z2

| f(x − 2k + e1)|2 +

  • k∈Z2

| f(x − 2k + e2)|2 +

  • k∈Z2

| f(x − 2k + e1 + e2)|2 = P2(x) + P2(x + e1) + P2(x + e2) + P2(x + e1 + e2).

Uncertainty Principles for Fourier Multipliers

  • M. Northington V (mcnv3@gatech.edu)

June 6, 2018

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SLIDE 93

Where does the zero come from?

◮ Extra-invarance can be characterized in terms of P

f. (Aldroubi, Cabrelli, Heil, Kornelson, Molter (2010), Anastasio, Cabrelli, Paternostro (2011))

◮ The condition is somewhat technical, so lets look at an

example of f ∈ L2(R2) and V (f) having 1

2Z2-invariance.

P(x) =

  • k∈Z2

| f(x − k)|2 =

  • k∈Z2

| f(x − 2k)|2 +

  • k∈Z2

| f(x − 2k + e1)|2 +

  • k∈Z2

| f(x − 2k + e2)|2 +

  • k∈Z2

| f(x − 2k + e1 + e2)|2 = P2(x) + P2(x + e1) + P2(x + e2) + P2(x + e1 + e2).

◮ V (f) is 1 2Z2-invariant iff P2(x) and it’s shifts have disjoint

support.

Uncertainty Principles for Fourier Multipliers

  • M. Northington V (mcnv3@gatech.edu)

June 6, 2018

slide-94
SLIDE 94

Thanks

Thanks!!!

Uncertainty Principles for Fourier Multipliers

  • M. Northington V (mcnv3@gatech.edu)

June 6, 2018