Projections of Mandelbrot percolations Micha Rams 1 Kroly Simon 2 1 - - PowerPoint PPT Presentation

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Projections of Mandelbrot percolations Micha Rams 1 Kroly Simon 2 1 - - PowerPoint PPT Presentation

Projections of Mandelbrot percolations Micha Rams 1 Kroly Simon 2 1 Institute of Mathematics Polish Academy of Sciences Warsaw, Poland http://www.impan.pl/~rams/ 2 Department of Stochastics Institute of Mathematics Technical University of


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Projections of Mandelbrot percolations

Michał Rams1 Károly Simon2

1Institute of Mathematics

Polish Academy of Sciences Warsaw, Poland http://www.impan.pl/~rams/

2 Department of Stochastics

Institute of Mathematics Technical University of Budapest www.math.bme.hu/~simonk

12 December 2012 Hong Kong

Michał Rams, Károly Simon (IMPAN, TU Budapest) Projections of Mandelbrot percolations CUHK 1 / 38

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Outline

1

History

2

The projections

3

Percolation phenomenon

4

New results

5

The sum of three linear random Cantor sets

Michał Rams, Károly Simon (IMPAN, TU Budapest) Projections of Mandelbrot percolations CUHK 2 / 38

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All new results are joint with Michal Rams, Warsaw IMPAN Michal visited me last week in Budapest and while we were preparing our joint talk, he got a terrible flu which prevented him from participating in this conference.

Michał Rams, Károly Simon (IMPAN, TU Budapest) Projections of Mandelbrot percolations CUHK 3 / 38

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Outline

1

History

2

The projections

3

Percolation phenomenon

4

New results

5

The sum of three linear random Cantor sets

Michał Rams, Károly Simon (IMPAN, TU Budapest) Projections of Mandelbrot percolations CUHK 4 / 38

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Fractal percolation, introduced by Mandelbrot early 1970’s:

We partition the unit square into M2 congruent sub squares each of them are independently retained with probability p and discarded with probability 1 − p. In the squares retained after the previous step we repeat the same process at infinitum.

Michał Rams, Károly Simon (IMPAN, TU Budapest) Projections of Mandelbrot percolations CUHK 5 / 38

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Fractal percolation, introduced by Mandelbrot early 1970’s:

We partition the unit square into M2 congruent sub squares each of them are independently retained with probability p and discarded with probability 1 − p. In the squares retained after the previous step we repeat the same process at infinitum.

Λ1

Michał Rams, Károly Simon (IMPAN, TU Budapest) Projections of Mandelbrot percolations CUHK 5 / 38

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Fractal percolation, introduced by Mandelbrot early 1970’s:

We partition the unit square into M2 congruent sub squares each of them are independently retained with probability p and discarded with probability 1 − p. In the squares retained after the previous step we repeat the same process at infinitum.

Λ2

Michał Rams, Károly Simon (IMPAN, TU Budapest) Projections of Mandelbrot percolations CUHK 5 / 38

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Fractal percolation, introduced by Mandelbrot early 1970’s:

We partition the unit square into M2 congruent sub squares each of them are independently retained with probability p and discarded with probability 1 − p. In the squares retained after the previous step we repeat the same process at infinitum.

Λ3

Michał Rams, Károly Simon (IMPAN, TU Budapest) Projections of Mandelbrot percolations CUHK 5 / 38

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Let Λn be the union of the level n retained squares. Then the statistically self-similar set of interest is: Λ :=

  • n=1

Λn. It was proved by Falconer and independently Mauldin, Willims that conditioned on non-extinction: dimH Λ = dimB Λ = log(M2 · p) log M a.s. The expected number of descendants of every square is: M2 · p. Therefore, if M2 · p < 1 then Λ = ∅ a.s.

Michał Rams, Károly Simon (IMPAN, TU Budapest) Projections of Mandelbrot percolations CUHK 6 / 38

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Let Λn be the union of the level n retained squares. Then the statistically self-similar set of interest is: Λ :=

  • n=1

Λn. It was proved by Falconer and independently Mauldin, Willims that conditioned on non-extinction: dimH Λ = dimB Λ = log(M2 · p) log M a.s. The expected number of descendants of every square is: M2 · p. Therefore, if M2 · p < 1 then Λ = ∅ a.s.

Michał Rams, Károly Simon (IMPAN, TU Budapest) Projections of Mandelbrot percolations CUHK 6 / 38

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Let Λn be the union of the level n retained squares. Then the statistically self-similar set of interest is: Λ :=

  • n=1

Λn. It was proved by Falconer and independently Mauldin, Willims that conditioned on non-extinction: dimH Λ = dimB Λ = log(M2 · p) log M a.s. The expected number of descendants of every square is: M2 · p. Therefore, if M2 · p < 1 then Λ = ∅ a.s.

Michał Rams, Károly Simon (IMPAN, TU Budapest) Projections of Mandelbrot percolations CUHK 6 / 38

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Let Λn be the union of the level n retained squares. Then the statistically self-similar set of interest is: Λ :=

  • n=1

Λn. It was proved by Falconer and independently Mauldin, Willims that conditioned on non-extinction: dimH Λ = dimB Λ = log(M2 · p) log M a.s. The expected number of descendants of every square is: M2 · p. Therefore, if M2 · p < 1 then Λ = ∅ a.s.

Michał Rams, Károly Simon (IMPAN, TU Budapest) Projections of Mandelbrot percolations CUHK 6 / 38

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So, we have almost surely: If p ≤ 1/M2 then Λ = ∅. If 1/M2 < p < 1/M then dimH(Λ) < 1 (but Λ = ∅ with positive probability). If p > 1

M then either

(a) Λ = ∅ or (b) dimH(Λ) > 1 .

Recall:

dimH Λ = dimB Λ = log(M2 · p) log M a.s.

Michał Rams, Károly Simon (IMPAN, TU Budapest) Projections of Mandelbrot percolations CUHK 7 / 38

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So, we have almost surely: If p ≤ 1/M2 then Λ = ∅. If 1/M2 < p < 1/M then dimH(Λ) < 1 (but Λ = ∅ with positive probability). If p > 1

M then either

(a) Λ = ∅ or (b) dimH(Λ) > 1 .

Recall:

dimH Λ = dimB Λ = log(M2 · p) log M a.s.

Michał Rams, Károly Simon (IMPAN, TU Budapest) Projections of Mandelbrot percolations CUHK 7 / 38

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So, we have almost surely: If p ≤ 1/M2 then Λ = ∅. If 1/M2 < p < 1/M then dimH(Λ) < 1 (but Λ = ∅ with positive probability). If p > 1

M then either

(a) Λ = ∅ or (b) dimH(Λ) > 1 .

Recall:

dimH Λ = dimB Λ = log(M2 · p) log M a.s.

Michał Rams, Károly Simon (IMPAN, TU Budapest) Projections of Mandelbrot percolations CUHK 7 / 38

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So, we have almost surely: If p ≤ 1/M2 then Λ = ∅. If 1/M2 < p < 1/M then dimH(Λ) < 1 (but Λ = ∅ with positive probability). If p > 1

M then either

(a) Λ = ∅ or (b) dimH(Λ) > 1 .

Recall:

dimH Λ = dimB Λ = log(M2 · p) log M a.s.

Michał Rams, Károly Simon (IMPAN, TU Budapest) Projections of Mandelbrot percolations CUHK 7 / 38

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So, we have almost surely: If p ≤ 1/M2 then Λ = ∅. If 1/M2 < p < 1/M then dimH(Λ) < 1 (but Λ = ∅ with positive probability). If p > 1

M then either

(a) Λ = ∅ or (b) dimH(Λ) > 1 .

Recall:

dimH Λ = dimB Λ = log(M2 · p) log M a.s.

Michał Rams, Károly Simon (IMPAN, TU Budapest) Projections of Mandelbrot percolations CUHK 7 / 38

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SLIDE 18

So, we have almost surely: If p ≤ 1/M2 then Λ = ∅. If 1/M2 < p < 1/M then dimH(Λ) < 1 (but Λ = ∅ with positive probability). If p > 1

M then either

(a) Λ = ∅ or (b) dimH(Λ) > 1 .

Recall:

dimH Λ = dimB Λ = log(M2 · p) log M a.s.

Michał Rams, Károly Simon (IMPAN, TU Budapest) Projections of Mandelbrot percolations CUHK 7 / 38

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So, we have almost surely: If p ≤ 1/M2 then Λ = ∅. If 1/M2 < p < 1/M then dimH(Λ) < 1 (but Λ = ∅ with positive probability). If p > 1

M then either

(a) Λ = ∅ or (b) dimH(Λ) > 1 .

Recall:

dimH Λ = dimB Λ = log(M2 · p) log M a.s.

Michał Rams, Károly Simon (IMPAN, TU Budapest) Projections of Mandelbrot percolations CUHK 7 / 38

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Marstrand Theorem

Theorem (Marstrand)

Let B ⊂ R2 be a Borel set.

1

If dimH(B) ≤ 1 then for Leb-a.e. θ, we have dimH(projθ(B)) = dimH(B)

2

If dimH(B) > 1 then for Leb-a.e. θ, we have Leb (projθ(B)) > 0.

Michał Rams, Károly Simon (IMPAN, TU Budapest) Projections of Mandelbrot percolations CUHK 8 / 38

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Marstrand Theorem

Theorem (Marstrand)

Let B ⊂ R2 be a Borel set.

1

If dimH(B) ≤ 1 then for Leb-a.e. θ, we have dimH(projθ(B)) = dimH(B)

2

If dimH(B) > 1 then for Leb-a.e. θ, we have Leb (projθ(B)) > 0.

Michał Rams, Károly Simon (IMPAN, TU Budapest) Projections of Mandelbrot percolations CUHK 8 / 38

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Marstrand Theorem

Theorem (Marstrand)

Let B ⊂ R2 be a Borel set.

1

If dimH(B) ≤ 1 then for Leb-a.e. θ, we have dimH(projθ(B)) = dimH(B)

2

If dimH(B) > 1 then for Leb-a.e. θ, we have Leb (projθ(B)) > 0.

Michał Rams, Károly Simon (IMPAN, TU Budapest) Projections of Mandelbrot percolations CUHK 8 / 38

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Outline

1

History

2

The projections

3

Percolation phenomenon

4

New results

5

The sum of three linear random Cantor sets

Michał Rams, Károly Simon (IMPAN, TU Budapest) Projections of Mandelbrot percolations CUHK 9 / 38

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Orthogonal projection to ℓθ p r

  • j

θ

( Λ ) Λ θ ℓθ

Michał Rams, Károly Simon (IMPAN, TU Budapest) Projections of Mandelbrot percolations CUHK 10 / 38

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Radial and co-radial projections with center t

1 C Λ Projt(Λ) t

Let CProjt(Λ) := {dist(t, x) : x ∈ Λ} ( CProjt(Λ) is the set of the length of dashed lines above).

Michał Rams, Károly Simon (IMPAN, TU Budapest) Projections of Mandelbrot percolations CUHK 11 / 38

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The co-radial projection

CProjt(Λ) CProjt(Λ) CProjt(Λ) Λ t CProjt(Λ) CProjt(Λ) CProjt(Λ)

Michał Rams, Károly Simon (IMPAN, TU Budapest) Projections of Mandelbrot percolations CUHK 12 / 38

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Outline

1

History

2

The projections

3

Percolation phenomenon

4

New results

5

The sum of three linear random Cantor sets

Michał Rams, Károly Simon (IMPAN, TU Budapest) Projections of Mandelbrot percolations CUHK 13 / 38

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Λ percolates

Let Λ(ω) be a realization of this random Cantor set. We say that Λ(ω) percolates if there is a connected component of Λ(ω) which connects the left and the right walls of the square [0, 1]2. Let us write E|| for the event that the random self-similar set Λ percolates.

Michał Rams, Károly Simon (IMPAN, TU Budapest) Projections of Mandelbrot percolations CUHK 14 / 38

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Theorem [J.T Chayes, L. Chayes, R. Durrett] [1]

Let TD be the event that Λ is totally disconnected. That is all connected components are singletons. Let pc := inf

  • p : Pp
  • E||
  • > 0
  • Then 0 < pc < 1 and

pc = sup {p : Pp (TD) = 1} . If p < pc < 1 then all connected components of Λ are singletons. If p > pc then Λ percolates with positive probability.

Michał Rams, Károly Simon (IMPAN, TU Budapest) Projections of Mandelbrot percolations CUHK 15 / 38

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Theorem [J.T Chayes, L. Chayes, R. Durrett] [1]

Let TD be the event that Λ is totally disconnected. That is all connected components are singletons. Let pc := inf

  • p : Pp
  • E||
  • > 0
  • Then 0 < pc < 1 and

pc = sup {p : Pp (TD) = 1} . If p < pc < 1 then all connected components of Λ are singletons. If p > pc then Λ percolates with positive probability.

Michał Rams, Károly Simon (IMPAN, TU Budapest) Projections of Mandelbrot percolations CUHK 15 / 38

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Theorem [J.T Chayes, L. Chayes, R. Durrett] [1]

Let TD be the event that Λ is totally disconnected. That is all connected components are singletons. Let pc := inf

  • p : Pp
  • E||
  • > 0
  • Then 0 < pc < 1 and

pc = sup {p : Pp (TD) = 1} . If p < pc < 1 then all connected components of Λ are singletons. If p > pc then Λ percolates with positive probability.

Michał Rams, Károly Simon (IMPAN, TU Budapest) Projections of Mandelbrot percolations CUHK 15 / 38

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Theorem [J.T Chayes, L. Chayes, R. Durrett] [1]

Let TD be the event that Λ is totally disconnected. That is all connected components are singletons. Let pc := inf

  • p : Pp
  • E||
  • > 0
  • Then 0 < pc < 1 and

pc = sup {p : Pp (TD) = 1} . If p < pc < 1 then all connected components of Λ are singletons. If p > pc then Λ percolates with positive probability.

Michał Rams, Károly Simon (IMPAN, TU Budapest) Projections of Mandelbrot percolations CUHK 15 / 38

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Theorem (Falconer and Grimmett)

Assume that p > 1

M

(1) Then the orthogonal projection to the x-axis and to the y-axis of Λ contain an interval almost surely, conditioned on non-extinction. Our research was inspired by this paper. The idea of the proof: use large deviation theory for the INDEPENDENT number of level n successors of squares which are in the same vertical column. dimH Λ > 1 = ⇒ ∃n, ∃ a level n column with exponentially many squares. This column is the biggest column on the next figure.

Michał Rams, Károly Simon (IMPAN, TU Budapest) Projections of Mandelbrot percolations CUHK 16 / 38

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There are exponentially many level n squares in it. When we move from level n to level n + 1 independently each of them gives birth an expected number of pM > 1 number of level n + 1 squares in the red column. By large deviation th. there is a superexponentially small probability that the number of level n + 1 squares is not more that a fixed α > 1 multiple of the level n squares in the red column. This implies that in each column on the figure there will be α > 1 times more squares of level n + 1 than of level n except with a super exponentially small probability.

M −n

Michał Rams, Károly Simon (IMPAN, TU Budapest) Projections of Mandelbrot percolations CUHK 17 / 38

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There are exponentially many level n squares in it. When we move from level n to level n + 1 independently each of them gives birth an expected number of pM > 1 number of level n + 1 squares in the red column. By large deviation th. there is a superexponentially small probability that the number of level n + 1 squares is not more that a fixed α > 1 multiple of the level n squares in the red column. This implies that in each column on the figure there will be α > 1 times more squares of level n + 1 than of level n except with a super exponentially small probability.

M −n

Michał Rams, Károly Simon (IMPAN, TU Budapest) Projections of Mandelbrot percolations CUHK 17 / 38

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There are exponentially many level n squares in it. When we move from level n to level n + 1 independently each of them gives birth an expected number of pM > 1 number of level n + 1 squares in the red column. By large deviation th. there is a superexponentially small probability that the number of level n + 1 squares is not more that a fixed α > 1 multiple of the level n squares in the red column. This implies that in each column on the figure there will be α > 1 times more squares of level n + 1 than of level n except with a super exponentially small probability.

M −n

Michał Rams, Károly Simon (IMPAN, TU Budapest) Projections of Mandelbrot percolations CUHK 17 / 38

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SLIDE 37

Outline

1

History

2

The projections

3

Percolation phenomenon

4

New results

5

The sum of three linear random Cantor sets

Michał Rams, Károly Simon (IMPAN, TU Budapest) Projections of Mandelbrot percolations CUHK 18 / 38

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Theorem [R., S.] (When p > 1

M ) We assume that p > 1 M. Then the following statements hold almost surely conditioned on Λ = ∅: ∀θ ∈ [0, π], projθ(Λ) containes an interval . Further, ∀t ∈ R2, Projt(Λ) and CProjt(Λ) contain an interval .

Michał Rams, Károly Simon (IMPAN, TU Budapest) Projections of Mandelbrot percolations CUHK 19 / 38

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Theorem [R., S.] (When p > 1

M ) We assume that p > 1 M. Then the following statements hold almost surely conditioned on Λ = ∅: ∀θ ∈ [0, π], projθ(Λ) containes an interval . Further, ∀t ∈ R2, Projt(Λ) and CProjt(Λ) contain an interval .

Michał Rams, Károly Simon (IMPAN, TU Budapest) Projections of Mandelbrot percolations CUHK 19 / 38

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Theorem [R., S.] (When p > 1

M ) We assume that p > 1 M. Then the following statements hold almost surely conditioned on Λ = ∅: ∀θ ∈ [0, π], projθ(Λ) containes an interval . Further, ∀t ∈ R2, Projt(Λ) and CProjt(Λ) contain an interval .

Michał Rams, Károly Simon (IMPAN, TU Budapest) Projections of Mandelbrot percolations CUHK 19 / 38

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Theorem [R., S.] (When p > 1

M ) We assume that p > 1 M. Then the following statements hold almost surely conditioned on Λ = ∅: ∀θ ∈ [0, π], projθ(Λ) containes an interval . Further, ∀t ∈ R2, Projt(Λ) and CProjt(Λ) contain an interval .

Michał Rams, Károly Simon (IMPAN, TU Budapest) Projections of Mandelbrot percolations CUHK 19 / 38

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Theorem [R., S.] (When p > 1

M ) We assume that p > 1 M. Then the following statements hold almost surely conditioned on Λ = ∅: ∀θ ∈ [0, π], projθ(Λ) containes an interval . Further, ∀t ∈ R2, Projt(Λ) and CProjt(Λ) contain an interval .

Michał Rams, Károly Simon (IMPAN, TU Budapest) Projections of Mandelbrot percolations CUHK 19 / 38

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The Sun at 2:12 p.m. The Sun at noon The Sun at 11:00 a.m.

Λ Λ Λ

The intervals in the shadow of the random dust E E E at different times

Michał Rams, Károly Simon (IMPAN, TU Budapest) Projections of Mandelbrot percolations CUHK 20 / 38

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Theorem [R., S.] If

1 M2 < p ≤ 1 M

Theorem

Let ℓ ⊂ R2 be a straight line and let Λℓ be the

  • rthogonal projection of Λ to ℓ.

Then for almost all realizations of Λ (conditioned on Λ = ∅) and for all straight lines ℓ we have: dimH(Λℓ) = dimH(Λ). (2) Actually much more is true:

Michał Rams, Károly Simon (IMPAN, TU Budapest) Projections of Mandelbrot percolations CUHK 21 / 38

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Theorem [R., S.] If

1 M2 < p ≤ 1 M

Theorem

Let ℓ ⊂ R2 be a straight line and let Λℓ be the

  • rthogonal projection of Λ to ℓ.

Then for almost all realizations of Λ (conditioned on Λ = ∅) and for all straight lines ℓ we have: dimH(Λℓ) = dimH(Λ). (2) Actually much more is true:

Michał Rams, Károly Simon (IMPAN, TU Budapest) Projections of Mandelbrot percolations CUHK 21 / 38

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SLIDE 46

Theorem [R., S.] If

1 M2 < p ≤ 1 M

Theorem

Let ℓ ⊂ R2 be a straight line and let Λℓ be the

  • rthogonal projection of Λ to ℓ.

Then for almost all realizations of Λ (conditioned on Λ = ∅) and for all straight lines ℓ we have: dimH(Λℓ) = dimH(Λ). (2) Actually much more is true:

Michał Rams, Károly Simon (IMPAN, TU Budapest) Projections of Mandelbrot percolations CUHK 21 / 38

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SLIDE 47

Lines intersect ≤ c · n squares of level n

Theorem (R., S.)

If

1 M2 < p ≤ 1 M then for almost all realizations of Λ

(conditioned on Λ = ∅) and for all straight lines ℓ : there exists a constant C such that the number of level n n n squares having nonempty intersection with Λ Λ Λ is at most c · n c · n c · n. On the other hand, almost surely for n big enough, we can find some line of 45◦ angle which intersects const · n level n squares.

Michał Rams, Károly Simon (IMPAN, TU Budapest) Projections of Mandelbrot percolations CUHK 22 / 38

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SLIDE 48

M −n

Recall:

1 M2 < p ≤ 1 M ⇒ Then every line ℓ intersects at most

const · n level n squares.

Michał Rams, Károly Simon (IMPAN, TU Budapest) Projections of Mandelbrot percolations CUHK 23 / 38

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SLIDE 49

Summary

1

If 0 < p ≤ 1/M2 then Λ dies out in finitely many steps almost surely.

2

If

1 M2 < p < 1 M The Λ = ∅ with positive probability

but dimH(Λ) = log(M2p)

M

< 1. For almost all non-empty realizations, for all projections (all radial, co-radial and all orthogonal projections) the dimension of Λ does not decrease under the projection .

3

If 1

M < p < pc. Conditioned on non-extinction,

almost surely: all projections of Λ contain some intervals but Λ is totally disconnected .

4

If p ≥ pc then Λ percolates.

Michał Rams, Károly Simon (IMPAN, TU Budapest) Projections of Mandelbrot percolations CUHK 24 / 38

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SLIDE 50

Summary

1

If 0 < p ≤ 1/M2 then Λ dies out in finitely many steps almost surely.

2

If

1 M2 < p < 1 M The Λ = ∅ with positive probability

but dimH(Λ) = log(M2p)

M

< 1. For almost all non-empty realizations, for all projections (all radial, co-radial and all orthogonal projections) the dimension of Λ does not decrease under the projection .

3

If 1

M < p < pc. Conditioned on non-extinction,

almost surely: all projections of Λ contain some intervals but Λ is totally disconnected .

4

If p ≥ pc then Λ percolates.

Michał Rams, Károly Simon (IMPAN, TU Budapest) Projections of Mandelbrot percolations CUHK 24 / 38

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SLIDE 51

Summary

1

If 0 < p ≤ 1/M2 then Λ dies out in finitely many steps almost surely.

2

If

1 M2 < p < 1 M The Λ = ∅ with positive probability

but dimH(Λ) = log(M2p)

M

< 1. For almost all non-empty realizations, for all projections (all radial, co-radial and all orthogonal projections) the dimension of Λ does not decrease under the projection .

3

If 1

M < p < pc. Conditioned on non-extinction,

almost surely: all projections of Λ contain some intervals but Λ is totally disconnected .

4

If p ≥ pc then Λ percolates.

Michał Rams, Károly Simon (IMPAN, TU Budapest) Projections of Mandelbrot percolations CUHK 24 / 38

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SLIDE 52

Summary

1

If 0 < p ≤ 1/M2 then Λ dies out in finitely many steps almost surely.

2

If

1 M2 < p < 1 M The Λ = ∅ with positive probability

but dimH(Λ) = log(M2p)

M

< 1. For almost all non-empty realizations, for all projections (all radial, co-radial and all orthogonal projections) the dimension of Λ does not decrease under the projection .

3

If 1

M < p < pc. Conditioned on non-extinction,

almost surely: all projections of Λ contain some intervals but Λ is totally disconnected .

4

If p ≥ pc then Λ percolates.

Michał Rams, Károly Simon (IMPAN, TU Budapest) Projections of Mandelbrot percolations CUHK 24 / 38

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SLIDE 53

Definition

We say that f[0, 1]2 → R is a strictly monotonic smooth function if f ∈ C2[0, 1] and f ′

x = 0, f ′ y = 0.

Theorem (R., S.)

If p > 1

M (dimH Λ > 1) then for every strictly monotonic

smooth function f, f(Λ) contains an interval , almost surely conditioned on non-extinction. Examples: {x + y : (x, y) ∈ Λ} ⊃ interval . {x · y : (x, y) ∈ Λ} ⊃ interval .

Michał Rams, Károly Simon (IMPAN, TU Budapest) Projections of Mandelbrot percolations CUHK 25 / 38

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SLIDE 54

Definition

We say that f[0, 1]2 → R is a strictly monotonic smooth function if f ∈ C2[0, 1] and f ′

x = 0, f ′ y = 0.

Theorem (R., S.)

If p > 1

M (dimH Λ > 1) then for every strictly monotonic

smooth function f, f(Λ) contains an interval , almost surely conditioned on non-extinction. Examples: {x + y : (x, y) ∈ Λ} ⊃ interval . {x · y : (x, y) ∈ Λ} ⊃ interval .

Michał Rams, Károly Simon (IMPAN, TU Budapest) Projections of Mandelbrot percolations CUHK 25 / 38

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SLIDE 55

Definition

We say that f[0, 1]2 → R is a strictly monotonic smooth function if f ∈ C2[0, 1] and f ′

x = 0, f ′ y = 0.

Theorem (R., S.)

If p > 1

M (dimH Λ > 1) then for every strictly monotonic

smooth function f, f(Λ) contains an interval , almost surely conditioned on non-extinction. Examples: {x + y : (x, y) ∈ Λ} ⊃ interval . {x · y : (x, y) ∈ Λ} ⊃ interval .

Michał Rams, Károly Simon (IMPAN, TU Budapest) Projections of Mandelbrot percolations CUHK 25 / 38

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SLIDE 56

Definition

We say that f[0, 1]2 → R is a strictly monotonic smooth function if f ∈ C2[0, 1] and f ′

x = 0, f ′ y = 0.

Theorem (R., S.)

If p > 1

M (dimH Λ > 1) then for every strictly monotonic

smooth function f, f(Λ) contains an interval , almost surely conditioned on non-extinction. Examples: {x + y : (x, y) ∈ Λ} ⊃ interval . {x · y : (x, y) ∈ Λ} ⊃ interval .

Michał Rams, Károly Simon (IMPAN, TU Budapest) Projections of Mandelbrot percolations CUHK 25 / 38

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SLIDE 57

Outline

1

History

2

The projections

3

Percolation phenomenon

4

New results

5

The sum of three linear random Cantor sets

Michał Rams, Károly Simon (IMPAN, TU Budapest) Projections of Mandelbrot percolations CUHK 26 / 38

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SLIDE 58

y x x ℓa ℓa ℓa y a

Similarly, the arithmetic sum Λ1 + Λ2 := {a : ℓa ∩ Λ1 × Λ2 = ∅} . is the 45◦ projection of Λ1 × Λ2.

Michał Rams, Károly Simon (IMPAN, TU Budapest) Projections of Mandelbrot percolations CUHK 27 / 38

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SLIDE 59

a a a (x, y, z) (x, y, 0) x y Sa Sa := {(x, y, z) : x + y + z = a}

a = x + y + z ⇐ ⇒ (x, y, z) ∈ Sa Λ1 + Λ2 + Λ3 = {a : Sa ∩ Λ1 × Λ2 × Λ3 = ∅} .

Michał Rams, Károly Simon (IMPAN, TU Budapest) Projections of Mandelbrot percolations CUHK 28 / 38

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SLIDE 60

Recall:

If

1 M2 < p ≤ 1 M then for almost all realizations of Λ

(conditioned on Λ = ∅) and for all straight lines ℓ : there exists a constant C such that the number of level n n n squares having nonempty intersection with Λ Λ Λ is at most c · n c · n c · n. The same theorem holds if we substitute the two-dimensional Mandelbrot percolation Cantor set with the product of two one dimensional Cantor sets having the same M and probabilities p1, p2 such that p = p1 · p2.

Michał Rams, Károly Simon (IMPAN, TU Budapest) Projections of Mandelbrot percolations CUHK 29 / 38

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SLIDE 61

Let Λ1, Λ2, Λ3 be one dimensional Mandelbrot percolation fractals constructed with the same M but with may be different probabilities p1, p2, p3. Let Λ be the three dimensional Mandelbrot percolation with the same M and p := p1p2p3 The random Cantor sets Λ1 × Λ2 × Λ3 and Λ share many common features: dim Λ1 × Λ2 × Λ3 = dim Λ = log M3p log M . conditioned on non-extinction.

Michał Rams, Károly Simon (IMPAN, TU Budapest) Projections of Mandelbrot percolations CUHK 30 / 38

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SLIDE 62

Dependency in the product set

Λ123 := Λ1 × Λ2 × Λ3, Λ12 := Λ1 × Λ2. In Λ123 and in Λ12 there is NO independence between the successors of two cubes having one side common.

a

Michał Rams, Károly Simon (IMPAN, TU Budapest) Projections of Mandelbrot percolations CUHK 31 / 38

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SLIDE 63

Dependency in the product set

Λ123 := Λ1 × Λ2 × Λ3, Λ12 := Λ1 × Λ2. In Λ123 and in Λ12 there is NO independence between the successors of two cubes having one side common.

a

Michał Rams, Károly Simon (IMPAN, TU Budapest) Projections of Mandelbrot percolations CUHK 31 / 38

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SLIDE 64

Dependency in the product set

Λ123 := Λ1 × Λ2 × Λ3, Λ12 := Λ1 × Λ2. In Λ123 and in Λ12 there is NO independence between the successors of two cubes having one side common.

a

Michał Rams, Károly Simon (IMPAN, TU Budapest) Projections of Mandelbrot percolations CUHK 31 / 38

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SLIDE 65

Λ and Λ12 are a little bit different from the point of 45◦ projection

a a

From now we focus on Λ123:

Michał Rams, Károly Simon (IMPAN, TU Budapest) Projections of Mandelbrot percolations CUHK 32 / 38

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SLIDE 66

Let En be the set of selected level n cubes in Λn

1,2,3.

Since dimB Λ123 > 1 so for a τ > 0: #En ≈ Mn · Mτ·n. The colored planes: 3Mn planes that are orthogonal to (1, 1, 1) and the consecutive ones are separated by M−n. By pigeon hole principle one

  • f the planes intersects

const · Mτn selected level n

  • cubes. Assume that this is

the blue plane.

z y a a a a + M −n a + M −n a + M −n a − M −n a − M −n a − M −n

Michał Rams, Károly Simon (IMPAN, TU Budapest) Projections of Mandelbrot percolations CUHK 33 / 38

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SLIDE 67

Let En be the set of selected level n cubes in Λn

1,2,3.

Since dimB Λ123 > 1 so for a τ > 0: #En ≈ Mn · Mτ·n. The colored planes: 3Mn planes that are orthogonal to (1, 1, 1) and the consecutive ones are separated by M−n. By pigeon hole principle one

  • f the planes intersects

const · Mτn selected level n

  • cubes. Assume that this is

the blue plane.

z y a a a a + M −n a + M −n a + M −n a − M −n a − M −n a − M −n

Michał Rams, Károly Simon (IMPAN, TU Budapest) Projections of Mandelbrot percolations CUHK 33 / 38

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SLIDE 68

Let En be the set of selected level n cubes in Λn

1,2,3.

Since dimB Λ123 > 1 so for a τ > 0: #En ≈ Mn · Mτ·n. The colored planes: 3Mn planes that are orthogonal to (1, 1, 1) and the consecutive ones are separated by M−n. By pigeon hole principle one

  • f the planes intersects

const · Mτn selected level n

  • cubes. Assume that this is

the blue plane.

z y a a a a + M −n a + M −n a + M −n a − M −n a − M −n a − M −n

Michał Rams, Károly Simon (IMPAN, TU Budapest) Projections of Mandelbrot percolations CUHK 33 / 38

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SLIDE 69

Among the Mτn cubes which intersect the blue plane the ones sharing one common side are NOT

  • independent. For example those who intersect the

red line are NOT independent.

a a a b b M −n

Michał Rams, Károly Simon (IMPAN, TU Budapest) Projections of Mandelbrot percolations CUHK 34 / 38

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SLIDE 70

; dimH Λ123 > 1 but dimH Λ12, dimH Λ23, dimH Λ31 < 1 . a a a b b M −n M −n The point is that on the red dashed line there could be potentially Mn selected level n squares but in reality there will be only c · n selected squares.

Michał Rams, Károly Simon (IMPAN, TU Budapest) Projections of Mandelbrot percolations CUHK 35 / 38

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SLIDE 71

An easy combinatorial Lemma shows that for a t > 0 constant there are Mnt selected level n squares that have no common sides (so what ever happens in these cubes in the future is independent ) such that they all intersect the blue plane.

a a a

Then we use Large deviation theory similarly to Falconer Grimett to get intervals in the projection.

Michał Rams, Károly Simon (IMPAN, TU Budapest) Projections of Mandelbrot percolations CUHK 36 / 38

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SLIDE 72

An easy combinatorial Lemma shows that for a t > 0 constant there are Mnt selected level n squares that have no common sides (so what ever happens in these cubes in the future is independent ) such that they all intersect the blue plane.

a a a

Then we use Large deviation theory similarly to Falconer Grimett to get intervals in the projection.

Michał Rams, Károly Simon (IMPAN, TU Budapest) Projections of Mandelbrot percolations CUHK 36 / 38

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SLIDE 73

An easy combinatorial Lemma shows that for a t > 0 constant there are Mnt selected level n squares that have no common sides (so what ever happens in these cubes in the future is independent ) such that they all intersect the blue plane.

a a a

Then we use Large deviation theory similarly to Falconer Grimett to get intervals in the projection.

Michał Rams, Károly Simon (IMPAN, TU Budapest) Projections of Mandelbrot percolations CUHK 36 / 38

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SLIDE 74

An easy combinatorial Lemma shows that for a t > 0 constant there are Mnt selected level n squares that have no common sides (so what ever happens in these cubes in the future is independent ) such that they all intersect the blue plane.

a a a

Then we use Large deviation theory similarly to Falconer Grimett to get intervals in the projection.

Michał Rams, Károly Simon (IMPAN, TU Budapest) Projections of Mandelbrot percolations CUHK 36 / 38

slide-75
SLIDE 75

An easy combinatorial Lemma shows that for a t > 0 constant there are Mnt selected level n squares that have no common sides (so what ever happens in these cubes in the future is independent ) such that they all intersect the blue plane.

a a a

Then we use Large deviation theory similarly to Falconer Grimett to get intervals in the projection.

Michał Rams, Károly Simon (IMPAN, TU Budapest) Projections of Mandelbrot percolations CUHK 36 / 38

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SLIDE 76

J.T Chayes, L. Chayes, R. Durrett, Connectivity properties of Mandelbrot’s percolation process,

  • Probab. theory Related Fields , 1988.

F.M. Dekking, and G. R. Grimmett. Superbranching processes and projections of random Cantor sets.

  • Probab. Theory Related Fields, 78, (1988), 3,

335–355. K.J. Falconer, and G.R. Grimmett, On the geometry of random Cantor sets and fractal percolation.

  • J. Theoret. Probab. Vol. 5. (1992), No.3, 465-485.

Michał Rams, Károly Simon (IMPAN, TU Budapest) Projections of Mandelbrot percolations CUHK 37 / 38

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SLIDE 77
  • B. Mandelbrot,

The fractal geometry of nature, W.H. Freeman and Co., New York 1983.

Michał Rams, Károly Simon (IMPAN, TU Budapest) Projections of Mandelbrot percolations CUHK 38 / 38