Steinhaus tiling sets Mihalis Kolountzakis University of Crete - - PowerPoint PPT Presentation

steinhaus tiling sets
SMART_READER_LITE
LIVE PREVIEW

Steinhaus tiling sets Mihalis Kolountzakis University of Crete - - PowerPoint PPT Presentation

Steinhaus tiling sets Mihalis Kolountzakis University of Crete Pecs 2017 Joint work with M. Papadimitrakis 1/18 The classical Steinhaus question Steinhaus (1950s): Are there A , B R 2 such that | A B | = 1 , for every rigid


slide-1
SLIDE 1

1/18

Steinhaus tiling sets

Mihalis Kolountzakis

University of Crete

Pecs 2017

Joint work with M. Papadimitrakis

slide-2
SLIDE 2

2/18

The classical Steinhaus question

◮ Steinhaus (1950s): Are there A, B ⊆ R2 such that

|τA ∩ B| = 1, for every rigid motion τ? Are there two subsets of the plane which, no matter how moved, always intersect at exactly one point?

slide-3
SLIDE 3

2/18

The classical Steinhaus question

◮ Steinhaus (1950s): Are there A, B ⊆ R2 such that

|τA ∩ B| = 1, for every rigid motion τ? Are there two subsets of the plane which, no matter how moved, always intersect at exactly one point? Sierpi´ nski, 1958: Yes.

slide-4
SLIDE 4

2/18

The classical Steinhaus question

◮ Steinhaus (1950s): Are there A, B ⊆ R2 such that

|τA ∩ B| = 1, for every rigid motion τ? Are there two subsets of the plane which, no matter how moved, always intersect at exactly one point? Sierpi´ nski, 1958: Yes.

◮ Equivalent:

  • b∈B

1ρA(x − b) = 1, for all rotations ρ, x ∈ R2.

slide-5
SLIDE 5

2/18

The classical Steinhaus question

◮ Steinhaus (1950s): Are there A, B ⊆ R2 such that

|τA ∩ B| = 1, for every rigid motion τ? Are there two subsets of the plane which, no matter how moved, always intersect at exactly one point? Sierpi´ nski, 1958: Yes.

◮ Equivalent:

  • b∈B

1ρA(x − b) = 1, for all rotations ρ, x ∈ R2.

◮ In tiling language:

ρA ⊕ B = R2, for all rotations ρ. Every rotation of A tiles (partitions) the plane when translated at the locations B.

slide-6
SLIDE 6

3/18

Fixing B = Z2: the lattice Steinhaus question

◮ Can we have ρA ⊕ Z2 = R2 for all rotations ρ? ◮ Equivalent: A is a fundamental domain of all ρZ2.

Or, A tiles the plane by translations at any ρZ2.

slide-7
SLIDE 7

3/18

Fixing B = Z2: the lattice Steinhaus question

◮ Can we have ρA ⊕ Z2 = R2 for all rotations ρ? ◮ Equivalent: A is a fundamental domain of all ρZ2.

Or, A tiles the plane by translations at any ρZ2.

◮ Jackson and Mauldin, 2002: Yes.

slide-8
SLIDE 8

3/18

Fixing B = Z2: the lattice Steinhaus question

◮ Can we have ρA ⊕ Z2 = R2 for all rotations ρ? ◮ Equivalent: A is a fundamental domain of all ρZ2.

Or, A tiles the plane by translations at any ρZ2.

◮ Jackson and Mauldin, 2002: Yes. ◮ Can A be Lebesgue measurable? We interpret tiling almost

everywhere.

slide-9
SLIDE 9

3/18

Fixing B = Z2: the lattice Steinhaus question

◮ Can we have ρA ⊕ Z2 = R2 for all rotations ρ? ◮ Equivalent: A is a fundamental domain of all ρZ2.

Or, A tiles the plane by translations at any ρZ2.

◮ Jackson and Mauldin, 2002: Yes. ◮ Can A be Lebesgue measurable? We interpret tiling almost

  • everywhere. Results by

Sierpi´ nski (1958), Croft (1982), Beck (1989), K. & Wolff (1999):

If such a measurable A exists then it must be large at infinity:

  • A

|x|

46 27 +ǫ dx = ∞.

slide-10
SLIDE 10

3/18

Fixing B = Z2: the lattice Steinhaus question

◮ Can we have ρA ⊕ Z2 = R2 for all rotations ρ? ◮ Equivalent: A is a fundamental domain of all ρZ2.

Or, A tiles the plane by translations at any ρZ2.

◮ Jackson and Mauldin, 2002: Yes. ◮ Can A be Lebesgue measurable? We interpret tiling almost

  • everywhere. Results by

Sierpi´ nski (1958), Croft (1982), Beck (1989), K. & Wolff (1999):

If such a measurable A exists then it must be large at infinity:

  • A

|x|

46 27 +ǫ dx = ∞.

◮ In higher dimension:

  • K. & Wolff (1999), K. & Papadimitrakis (2002):

= ⇒ No measurable Steinhaus sets exist for Zd, d ≥ 3.

slide-11
SLIDE 11

4/18

The lattice Steinhaus question in Fourier space

◮ For f to tile with Z2 its periodization

  • n∈Z2

f (x − n) must be constant.

slide-12
SLIDE 12

4/18

The lattice Steinhaus question in Fourier space

◮ For f to tile with Z2 its periodization

  • n∈Z2

f (x − n) must be constant.

◮ Equivalently

f (n) = 0 for all n ∈ Z2 \ {0}.

slide-13
SLIDE 13

4/18

The lattice Steinhaus question in Fourier space

◮ For f to tile with Z2 its periodization

  • n∈Z2

f (x − n) must be constant.

◮ Equivalently

f (n) = 0 for all n ∈ Z2 \ {0}.

◮ Applying to f = 1ρA for all rotations ρ we get

that 1A must vanish on all circles through lattice points.

slide-14
SLIDE 14

5/18

The lattice Steinhaus question in Fourier space, cont’d

◮ Successive circles in the zero set at distance R from the

  • riginat distance R from the origin are about

1/ √ R apart.

slide-15
SLIDE 15

5/18

The lattice Steinhaus question in Fourier space, cont’d

◮ Successive circles in the zero set at distance R from the

  • riginat distance R from the origin are about

1/ √ R apart.

◮ Many zeros =

⇒ 1A must decay

slide-16
SLIDE 16

5/18

The lattice Steinhaus question in Fourier space, cont’d

◮ Successive circles in the zero set at distance R from the

  • riginat distance R from the origin are about

1/ √ R apart.

◮ Many zeros =

⇒ 1A must decay

◮ Decay of

1A = ⇒ lack of concentration for 1A, regularity

slide-17
SLIDE 17

5/18

The lattice Steinhaus question in Fourier space, cont’d

◮ Successive circles in the zero set at distance R from the

  • riginat distance R from the origin are about

1/ √ R apart.

◮ Many zeros =

⇒ 1A must decay

◮ Decay of

1A = ⇒ lack of concentration for 1A, regularity

◮ In dimension d = 2 this gives

  • A |x|

46 27 +ǫ dx = ∞.

slide-18
SLIDE 18

5/18

The lattice Steinhaus question in Fourier space, cont’d

◮ Successive circles in the zero set at distance R from the

  • riginat distance R from the origin are about

1/ √ R apart.

◮ Many zeros =

⇒ 1A must decay

◮ Decay of

1A = ⇒ lack of concentration for 1A, regularity

◮ In dimension d = 2 this gives

  • A |x|

46 27 +ǫ dx = ∞.

◮ In dimension d ≥ 3: better control of circle gap.

We get 1A is continuous (contradiction)

slide-19
SLIDE 19

6/18

The lattice Steinhaus question for finitely many lattices

◮ Given lattices Λ1, . . . , Λn ⊆ Rd all of volume 1

can we find measurable A which tiles with all Λj?

slide-20
SLIDE 20

6/18

The lattice Steinhaus question for finitely many lattices

◮ Given lattices Λ1, . . . , Λn ⊆ Rd all of volume 1

can we find measurable A which tiles with all Λj?

Generically yes! If the sum Λ∗

1 + · · · + Λ∗ n is di-

rect then Kronecker-type den- sity theorems allow us to rear- range a fundamental domain of

  • ne lattice to accomodate the
  • thers.
slide-21
SLIDE 21

7/18

Restated for the algebraically inclined

◮ If G is an abelian group and H1, . . . , Hn subgroups of same

index

slide-22
SLIDE 22

7/18

Restated for the algebraically inclined

◮ If G is an abelian group and H1, . . . , Hn subgroups of same

index can we find a common set of coset representatives for the Hj?

slide-23
SLIDE 23

7/18

Restated for the algebraically inclined

◮ If G is an abelian group and H1, . . . , Hn subgroups of same

index can we find a common set of coset representatives for the Hj?

◮ Always possible for two subgroups H1, H2 (even in non-abelian

case).

slide-24
SLIDE 24

7/18

Restated for the algebraically inclined

◮ If G is an abelian group and H1, . . . , Hn subgroups of same

index can we find a common set of coset representatives for the Hj?

◮ Always possible for two subgroups H1, H2 (even in non-abelian

case).

◮ Fails in general: take G = Z2 × Z2 and the 3 copies of Z2

therein.

slide-25
SLIDE 25

7/18

Restated for the algebraically inclined

◮ If G is an abelian group and H1, . . . , Hn subgroups of same

index can we find a common set of coset representatives for the Hj?

◮ Always possible for two subgroups H1, H2 (even in non-abelian

case).

◮ Fails in general: take G = Z2 × Z2 and the 3 copies of Z2

therein.

◮ No good condition is known!

slide-26
SLIDE 26

8/18

An application in Gabor analysis

◮ Question: If K, L are two lattices in Rd with

vol K · vol L = 1, can we find g ∈ L2(Rd), such that the (K, L) time-frequency translates g(x − k)e2πiℓ·x, (k ∈ K, ℓ ∈ L) form an orthogonal basis?

slide-27
SLIDE 27

8/18

An application in Gabor analysis

◮ Question: If K, L are two lattices in Rd with

vol K · vol L = 1, can we find g ∈ L2(Rd), such that the (K, L) time-frequency translates g(x − k)e2πiℓ·x, (k ∈ K, ℓ ∈ L) form an orthogonal basis?

◮ Han and Wang (2000): Since vol (L∗) = vol (K) let g = 1E

where E is a common tile for K, L∗.

slide-28
SLIDE 28

8/18

An application in Gabor analysis

◮ Question: If K, L are two lattices in Rd with

vol K · vol L = 1, can we find g ∈ L2(Rd), such that the (K, L) time-frequency translates g(x − k)e2πiℓ·x, (k ∈ K, ℓ ∈ L) form an orthogonal basis?

◮ Han and Wang (2000): Since vol (L∗) = vol (K) let g = 1E

where E is a common tile for K, L∗.

◮ Then L forms an orthogonal basis for L2(E).

slide-29
SLIDE 29

8/18

An application in Gabor analysis

◮ Question: If K, L are two lattices in Rd with

vol K · vol L = 1, can we find g ∈ L2(Rd), such that the (K, L) time-frequency translates g(x − k)e2πiℓ·x, (k ∈ K, ℓ ∈ L) form an orthogonal basis?

◮ Han and Wang (2000): Since vol (L∗) = vol (K) let g = 1E

where E is a common tile for K, L∗.

◮ Then L forms an orthogonal basis for L2(E). ◮ The space is partitioned in copies of E and on each copy L is

an orthogonal basis.

slide-30
SLIDE 30

9/18

B = Z × {0} or B a finite set

◮ B = Z × {0}:

The strip tiles with B x y

slide-31
SLIDE 31

9/18

B = Z × {0} or B a finite set

◮ B = Z × {0}:

The strip tiles with B x y

◮ B is a finite set:

The shaded set tiles with B x y

slide-32
SLIDE 32

10/18

B = Z × {0} or B a finite set

◮ Komj´

ath (1992): There is A ⊆ R2 such that for all rotations ρ ρA ⊕

  • Z × {0}
  • is a tiling.
slide-33
SLIDE 33

10/18

B = Z × {0} or B a finite set

◮ Komj´

ath (1992): There is A ⊆ R2 such that for all rotations ρ ρA ⊕

  • Z × {0}
  • is a tiling.

◮ For B ⊆ R2 finite and of size 3, 4, 5, 7:

Gao, Miller & Weiss (2007), Xuan (2012), Henkis, Jackson & Lobe (2014): = ⇒ No such sets A.

slide-34
SLIDE 34

10/18

B = Z × {0} or B a finite set

◮ Komj´

ath (1992): There is A ⊆ R2 such that for all rotations ρ ρA ⊕

  • Z × {0}
  • is a tiling.

◮ For B ⊆ R2 finite and of size 3, 4, 5, 7:

Gao, Miller & Weiss (2007), Xuan (2012), Henkis, Jackson & Lobe (2014): = ⇒ No such sets A.

We show here

◮ A Komj´

ath set cannot be Lebesgue measurable.

slide-35
SLIDE 35

10/18

B = Z × {0} or B a finite set

◮ Komj´

ath (1992): There is A ⊆ R2 such that for all rotations ρ ρA ⊕

  • Z × {0}
  • is a tiling.

◮ For B ⊆ R2 finite and of size 3, 4, 5, 7:

Gao, Miller & Weiss (2007), Xuan (2012), Henkis, Jackson & Lobe (2014): = ⇒ No such sets A.

We show here

◮ A Komj´

ath set cannot be Lebesgue measurable.

◮ For any finite B ⊆ R2 there is no Lebesgue measurable

Steinhaus set A.

slide-36
SLIDE 36

11/18

Finite B: a Fourier condition

Write δB =

b∈B δb.

= ⇒ δB(x) =

b∈B e−2πib·x is a trig. polynomial. ◮ Suppose 1A ∗ δB(x) = b∈B 1A(x − b) = 1 a.e.(x)

slide-37
SLIDE 37

11/18

Finite B: a Fourier condition

Write δB =

b∈B δb.

= ⇒ δB(x) =

b∈B e−2πib·x is a trig. polynomial. ◮ Suppose 1A ∗ δB(x) = b∈B 1A(x − b) = 1 a.e.(x) ◮ Taking Fourier Transform:

  • 1A ·

δB = δ0.

slide-38
SLIDE 38

11/18

Finite B: a Fourier condition

Write δB =

b∈B δb.

= ⇒ δB(x) =

b∈B e−2πib·x is a trig. polynomial. ◮ Suppose 1A ∗ δB(x) = b∈B 1A(x − b) = 1 a.e.(x) ◮ Taking Fourier Transform:

  • 1A ·

δB = δ0.

◮ We conclude

supp 1A ⊆ {0} ∪

  • δB = 0
  • .

(Notice 1A is a tempered distribution.)

slide-39
SLIDE 39

11/18

Finite B: a Fourier condition

Write δB =

b∈B δb.

= ⇒ δB(x) =

b∈B e−2πib·x is a trig. polynomial. ◮ Suppose 1A ∗ δB(x) = b∈B 1A(x − b) = 1 a.e.(x) ◮ Taking Fourier Transform:

  • 1A ·

δB = δ0.

◮ We conclude

supp 1A ⊆ {0} ∪

  • δB = 0
  • .

(Notice 1A is a tempered distribution.)

◮ Valid for all rotations ρ:

  • ρ

ρ

  • supp

1A

  • ⊆ {0} ∪
  • δB = 0
  • .

= ⇒ The zeros of δB contain a circle.

slide-40
SLIDE 40

12/18

Zeros of trigonometric polynomials

Theorem

If ψ(x) =

b∈B cbe2πib·x is a trigonometric polynomial on Rd

which vanishes on a sphere then ψ(x) ≡ 0.

slide-41
SLIDE 41

12/18

Zeros of trigonometric polynomials

Theorem

If ψ(x) =

b∈B cbe2πib·x is a trigonometric polynomial on Rd

which vanishes on a sphere then ψ(x) ≡ 0.

y x b0 b1 b2 b3 b4 b5 T h e s e t B

◮ Enough to prove for d = 2. May assume zeros at unit circle

centered at origin.

slide-42
SLIDE 42

12/18

Zeros of trigonometric polynomials

Theorem

If ψ(x) =

b∈B cbe2πib·x is a trigonometric polynomial on Rd

which vanishes on a sphere then ψ(x) ≡ 0.

y x b0 b1 b2 b3 b4 b5 T h e s e t B

◮ Enough to prove for d = 2. May assume zeros at unit circle

centered at origin.

◮ May also assume (b0, 0) ∈ B is unique with maximal modulus.

slide-43
SLIDE 43

13/18

Zeros of trigonometric polynomials, continued

◮ Write b = bx + iby, for b ∈ B, and z = x − iy, with |z| = 1.

Then (bx, by) · (x, y) = ℜ(bz) and ψ(x, y)

  • b∈B

cbe2πiℜ(bz) |z|=1 =

  • b∈B

cbeπi(bz+ b

z ) =: g(z)

vanishes at |z| = 1, hence g(z) ≡ 0 for all z = 0.

slide-44
SLIDE 44

13/18

Zeros of trigonometric polynomials, continued

◮ Write b = bx + iby, for b ∈ B, and z = x − iy, with |z| = 1.

Then (bx, by) · (x, y) = ℜ(bz) and ψ(x, y)

  • b∈B

cbe2πiℜ(bz) |z|=1 =

  • b∈B

cbeπi(bz+ b

z ) =: g(z)

vanishes at |z| = 1, hence g(z) ≡ 0 for all z = 0.

◮ For real t → +∞ we have

0 = g(−it) = cb0eπb0t+O(1/t) +

  • b∈B\{(b0,0)}

cbeπibt+O(1/t) Contradiction for: unique exponential with highest exponent.

slide-45
SLIDE 45

14/18

Komj´ ath sets

y x The set B

◮ Suppose B = {(n, 0) : n ∈ Z} ⊆ R2 and measurable A so that

  • n∈Z

1ρA(x − n, y) = 1, for all rotations ρ and a.e. (x, y).

slide-46
SLIDE 46

14/18

Komj´ ath sets

y x The set B

◮ Suppose B = {(n, 0) : n ∈ Z} ⊆ R2 and measurable A so that

  • n∈Z

1ρA(x − n, y) = 1, for all rotations ρ and a.e. (x, y).

◮ =

⇒ A has infinite measure.

slide-47
SLIDE 47

14/18

Komj´ ath sets

y x The set B

◮ Suppose B = {(n, 0) : n ∈ Z} ⊆ R2 and measurable A so that

  • n∈Z

1ρA(x − n, y) = 1, for all rotations ρ and a.e. (x, y).

◮ =

⇒ A has infinite measure.

◮ Integrating for x ∈ [0, 1] gives that

ρA ∩

  • R × {y}
  • has measure 1 for almost all y ∈ R.

◮ Hence A intersects almost all lines of the plane at measure 1.

slide-48
SLIDE 48

15/18

Komj´ ath sets: meeting the lines thus is too much

Theorem

There is no measurable A ⊆ R2 which intersects almost all lines of the plane in measure (length) at least C1 and at most C2, where 0 < C1, C2 < ∞.

◮ We only need C1 = C2 = 1 for showing there are no

measurable Komj´ ath sets.

slide-49
SLIDE 49

16/18

Line integrals bounded above and below

◮ Suppose A ⊆ R2 has the bounded line intersection property.

View R2 embedded in R3.

◮ Define f : R3 → R+ by (convergence is clear)

f (z) =

  • R2 1A(w)

1 |z − w| dw.

slide-50
SLIDE 50

16/18

Line integrals bounded above and below

◮ Suppose A ⊆ R2 has the bounded line intersection property.

View R2 embedded in R3.

◮ Define f : R3 → R+ by (convergence is clear)

f (z) =

  • R2 1A(w)

1 |z − w| dw.

◮ Claim: C1π ≤ f (z) ≤ C2π for almost all z ∈ R2

f (z) =

  • R2 1A(w)

dw |z − w| =

  • R2 1A(z + w)dw

|w| (change of variable) =

  • [0,π]
  • R

1A(z + r(cos θ, sin θ)) dr dθ (polar coordinates) =

  • [0,π]

|A ∩ (z + Lθ)| dθ (where Lθ is the line with angle θ) ∈ [C1π, C2π].

slide-51
SLIDE 51

17/18

Line integrals bounded above and below, continued

◮ f is continuous on R3.

Technical proof ommitted.

slide-52
SLIDE 52

17/18

Line integrals bounded above and below, continued

◮ f is continuous on R3.

Technical proof ommitted.

◮ Hence C1π ≤ f (z) ≤ C2π everywhere on R2.

slide-53
SLIDE 53

17/18

Line integrals bounded above and below, continued

◮ f is continuous on R3.

Technical proof ommitted.

◮ Hence C1π ≤ f (z) ≤ C2π everywhere on R2. ◮ f is harmonic in the upper half-space

H = {(x1, x2, x3) : x3 > 0}. Essentially because

1 |x| is harmonic in R3 \ {0}.

slide-54
SLIDE 54

17/18

Line integrals bounded above and below, continued

◮ f is continuous on R3.

Technical proof ommitted.

◮ Hence C1π ≤ f (z) ≤ C2π everywhere on R2. ◮ f is harmonic in the upper half-space

H = {(x1, x2, x3) : x3 > 0}. Essentially because

1 |x| is harmonic in R3 \ {0}. ◮ If z′ is the projection of z ∈ R3 onto R2 then

0 ≤ f (z) ≤ f (z′) ≤ C2π.

slide-55
SLIDE 55

17/18

Line integrals bounded above and below, continued

◮ f is continuous on R3.

Technical proof ommitted.

◮ Hence C1π ≤ f (z) ≤ C2π everywhere on R2. ◮ f is harmonic in the upper half-space

H = {(x1, x2, x3) : x3 > 0}. Essentially because

1 |x| is harmonic in R3 \ {0}. ◮ If z′ is the projection of z ∈ R3 onto R2 then

0 ≤ f (z) ≤ f (z′) ≤ C2π.

◮ Harmonic in H, bounded and continuous in H =

⇒ is the Poisson mean of f ↾ R2 = ⇒ C1π ≤ f (z) ≤ C2π for z ∈ H.

slide-56
SLIDE 56

17/18

Line integrals bounded above and below, continued

◮ f is continuous on R3.

Technical proof ommitted.

◮ Hence C1π ≤ f (z) ≤ C2π everywhere on R2. ◮ f is harmonic in the upper half-space

H = {(x1, x2, x3) : x3 > 0}. Essentially because

1 |x| is harmonic in R3 \ {0}. ◮ If z′ is the projection of z ∈ R3 onto R2 then

0 ≤ f (z) ≤ f (z′) ≤ C2π.

◮ Harmonic in H, bounded and continuous in H =

⇒ is the Poisson mean of f ↾ R2 = ⇒ C1π ≤ f (z) ≤ C2π for z ∈ H.

◮ Contradiction: Clearly limt→+∞ f (x, y, t) = 0.

slide-57
SLIDE 57

18/18

The end. Thank you.