good labelling property of simple nested fractals

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Good labelling property of simple nested fractals Mariusz Olszewski (Wroc law University of Science and Technology) Joint work with Kamil Kaleta (Wroclaw University of Science and Technology) and Katarzyna Pietruska-Pa luba (University of Warsaw). Motivation K. Pietruska-Pa luba in [1] constructed the reflected Brownian motion on the Sierpi´ nski gasket. A crucial element of the construction was the labelling of the fractal vertices which allowed to define folding projections on a complex of a given size. The construction of the reflected Brownian motion is a key step in proving the existence of the Integrated density of states (IDS) for the subordinate Brownian motions perturbed by random potentials. In [2] the reflected Brownian motion was constructed on simple nested fractals satisfying the Good labelling property (GLP). Notation Let Ψ i : R 2 R 2 , 1 i N be similitudes given by formula Ψ i (x) = (1/L)U (x)+ ν i , where U is an isometry of R 2 , L> 1 is a scaling factor, ν i R 2 (for future calculations we shall assume that ν 1 = 0). There exists the unique nonempty compact set K h0i such that K h0i = N [ i=1 Ψ i K h0i . The set K h0i is the (bounded) fractal. We shall denote K hM i = L M K h0i . Every set Δ M ⊂K h∞i of the form Δ M = K hM i + ν Δ M , where ν Δ M = J j =M +1 L j ν i j , for some J M + 1, ν i j ∈{ν 1 , ..., ν N }, is called an M -complex. Figure: The Sierpi´ nski Pentagon: 5 similitudes, L = 3+ 5 2 Essential fixed points The fixed point x ∈K h0i is an essential fixed point if there exists another fixed point y ∈K h0i and similitudes Ψ i j such that Ψ i (x)=Ψ j (y ). V h0i 0 is the set of the essential fixed points, #V h0i 0 = k . We also denote V hM i M = L M V h0i 0 . Figure: The Lindstrøm snowflake: 7 similitudes, L = 3 (7 fixed points, but only 6 essential fixed points). Unbounded simple nested fractals (USNF) The set K h∞i = S M =0 L M K h0i is called an unbounded simple nested fractal (USNF) if the following conditions regarding the family of similitudes Ψ i generating the compact fractal K h0i and the set of vertices V h0i 0 meet. 1. #V h0i 0 2. 2. There exists an open set U R 2 such that for i 6= j Ψ i (U ) Ψ j (U )= and S i Ψ i (U ) U . 3. (Nesting) Let T,S be different 1-complexes. Then T S = V (T ) V (S ). 4. (Symmetry) For x, y V h0i 0 let R x,y denote the symmetry with respect to hyperplane bisecting the segment [x, y ]. Then i ∈{1, ..., N }∀x, y V h0i 0 j ∈{1, ..., N } R x,y Ψ i V h0i 0 j V h0i 0 5. (Connectivity) On the set V h0i -1 = S i Ψ i (V h0i 0 ) we define graph structure E -1 as follows: (x, y ) E -1 if x and y are in the same -1-complex. Then the graph (V h0i -1 ,E -1 ) is connected. Shape of the complexes. Proposition. If k = 2, then the fractal is just a segment connecting two essential fixed points. If k 3, then the points from V h0i 0 are vertices of a regular polygon. Definition of the good labelling property (GLP) Since vertices of every M -complex Δ M are the vertices of a regular k -gon, there exist exactly k different rotations around the barycenter of K hM i , mapping V hM i M onto V hM i M . They will be denoted by R M := {R 1 , ..., R k } (ordered in such a way that for i =1, 2, ..., k, the rotation R i rotates by angle 2πi k ). Let us consider the set of k letters A := {a 1 ,a 2 ,a 3 , ..., a k }, called labels. Definition. Let M Z. A function l M : V h∞i M →A is called a good labelling function of order M if the following conditions meet. (1) The restriction of l M to V hM i M is a bijection onto A. (2) For every M -complex Δ M represented as Δ M = K hM i + ν Δ M , there exists a rotation R Δ M ∈R M such that l M (v )= l M ( R Δ M ( v - ν Δ M )) , v V M ) . An USNF K h∞i is said to have the good labelling property of order M if a good labelling function of order M exists. Note that, in fact, for every M -complex Δ M the restriction of a good labelling function to V M ) is a bijection onto A. Remark. Thanks to the self-similar structure of the set K h∞i it has a good labelling property of order M for some M Z if and only if it has this property for every M Z. We can simply say that K h∞i has a good labelling property (GLP). Figure: Labelling of vertices of the Sierpi´ nski gasket. Definition of the projection We define a projection map π M from the unbounded fractal K h∞i onto the primary M -complex K hM i by setting π M (x)= R Δ M ( x - ν Δ M ) where Δ M = K h∞i + ν Δ M is the M -complex containing x. Reflected process The reflected Brownian motion on K hM i is defined as follows: X M t = π M (Z t ) , where Z t is a diffusion on unbounded fractal K h∞i . Impossibility of labelling the Lindstrøm snowflake Can we consistently label vertices of any nested fractal? No, there exist fractals which cannot be labelled, e.g. the Lindstrøm snowflake. Having labelled vertices of the bottom left complex clockwise as a, b, c, d, e, f we know that the bottom right complex must have its left vertex labelled as c. Labelling other vertices of this complex clockwise determines that the label of the top left vertex is d. On the other hand, the middle complex has the bottom left vertex labelled as b, therefore its bottom right vertex should be labelled as a. The vertex cannot have two labels, therefore this fractal cannot be well labelled. Figure: Illegal labelling of vertices of the Lindstrøm snowflake. Figure: The endpoints of the reflected trajectories on snowflake depend on whole past of the process - the constructed process on snowflake would not have the Markov property. Easy-to-check condition for GLP The fractal K h∞i has the good labelling property if and only if there exists a function e 0 : V h1i 0 →A such that the restriction of e 0 to V h0i 0 is a bijection into A and the condition (2) is satisfied for every 0-complex Δ 0 ⊂K h1i . GLP Theorem 1. If k =#V h0i 0 is prime, then K h∞i has the good labelling property. Figure: An example of a fractal with five essential fixed points (description of one iteration). GLP Theorem 2. If k =#V h0i 0 = N 3, then K h∞i has the good labelling property. Figure: An example of a fractal with six essential fixed points and six fixed points - complexes create ring structures (after three iterations). GLP Theorem 3. If 2|k =#V h0i 0 , k> 2, then K h∞i has the GLP if and only if the 0-complexes inside the 1-complex K h1i can be divided into two classes such that each complex from one class intersects only with the complexes from the other class. Remark: If k = 4, then the condition above is always satisfied and K h∞i has the GLP. Figure: An example of a fractal with six essential fixed points, N = 42 (description of one iteration). The complexes are divided into two classes. Figure: An example of a fractal with four essential fixed points (description of one iteration). Summary The fractals not considered in any of the theorems above are the fractals for which k is odd, composite and N>k . Below there is an example of such fractal that cannot be well-labelled. Figure: An example of a fractal with nine essential fixed points, N = 54, without the GLP (description of one iteration). Bibliography [1]: K. Pietruska-Pa luba The Lifschitz singularity for the density of states on the Sierpinski gasket, Probab. Theory Related Fields 89 (1991), no. 1, 1-33. [2]: K. Kaleta, M. Olszewski, K. Pietruska-Pa luba Reflected Brownian motion on simple nested fractals, arXiv preprint 1804.04228 (2018).

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Good labelling property of simple nested fractals

Mariusz Olszewski (Wroc law University of Science and Technology)

Joint work with Kamil Kaleta (Wroc law University of Science and Technology)and Katarzyna Pietruska-Pa luba (University of Warsaw).

Motivation

K. Pietruska-Pa luba in [1] constructed the reflected Brownian motionon the Sierpinski gasket. A crucial element of the construction wasthe labelling of the fractal vertices which allowed to define foldingprojections on a complex of a given size.The construction of the reflected Brownian motion is a key step inproving the existence of the Integrated density of states (IDS) for thesubordinate Brownian motions perturbed by random potentials.In [2] the reflected Brownian motion was constructed on simple nestedfractals satisfying the Good labelling property (GLP).

Notation

Let Ψi : R2→ R2, 1 ≤ i ≤ N be similitudes given by formula

Ψi(x) = (1/L)U(x) + νi,

where U is an isometry of R2, L > 1 is a scaling factor, νi ∈ R2 (forfuture calculations we shall assume that ν1 = 0).

There exists the unique nonempty compact set K〈0〉 such that

K〈0〉 =

N⋃i=1

Ψi

(K〈0〉

).

The set K〈0〉 is the (bounded) fractal.

We shall denote K〈M〉 = LMK〈0〉.Every set ∆M ⊂ K〈∞〉 of the form

∆M = K〈M〉 + ν∆M,

where ν∆M=∑Jj=M+1L

jνij, for some J ≥M + 1,

νij ∈ {ν1, ..., νN}, is called an M -complex.

Figure: The Sierpinski Pentagon: 5 similitudes, L = 3+√5

2

Essential fixed points

The fixed point x ∈ K〈0〉 is an essential fixed point if there existsanother fixed point y ∈ K〈0〉 and similitudes Ψi, Ψj such thatΨi(x) = Ψj(y).

V〈0〉

0 is the set of the essential fixed points, #V〈0〉

0 = k.

We also denote V〈M〉M = LMV

〈0〉0 .

Figure: The Lindstrøm snowflake: 7 similitudes, L = 3 (7 fixed points, but only 6essential fixed points).

Unbounded simple nested fractals (USNF)

The set K〈∞〉 =⋃∞M=0L

MK〈0〉 is called an unbounded simplenested fractal (USNF) if the following conditions regarding the

family of similitudes Ψi generating the compact fractal K〈0〉 and the

set of vertices V〈0〉

0 meet.

1. #V〈0〉

0 ≥ 2.

2. There exists an open set U ∈ R2 such that for i 6= jΨi(U) ∩ Ψj(U) = ∅ and

⋃iΨi(U) ⊆ U .

3. (Nesting) Let T, S be different 1-complexes. ThenT ∩ S = V (T ) ∩ V (S).

4. (Symmetry) For x, y ∈ V 〈0〉0 let Rx,y denote the symmetry withrespect to hyperplane bisecting the segment [x, y]. Then

∀i ∈ {1, ..., N} ∀x, y ∈ V 〈0〉0 ∃j ∈ {1, ..., N}Rx,y

(Ψi

(V〈0〉

0

))= Ψj

(V〈0〉

0

)5. (Connectivity) On the set V

〈0〉−1 =

⋃iΨi(V

〈0〉0 ) we define graph

structure E−1 as follows:(x, y) ∈ E−1 if x and y are in the same −1-complex.

Then the graph (V〈0〉−1 , E−1) is connected.

Shape of the complexes.

Proposition. If k = 2, then the fractal is just a segment connectingtwo essential fixed points.

If k ≥ 3, then the points from V〈0〉

0 are vertices of a regular polygon.

Definition of the good labelling property (GLP)

Since vertices of every M -complex ∆M are the vertices of a regulark-gon, there exist exactly k different rotations around the barycenter

of K〈M〉, mapping V〈M〉M onto V

〈M〉M . They will be denoted by

RM := {R1, ..., Rk} (ordered in such a way that for i = 1, 2, ..., k,the rotation Ri rotates by angle 2πi

k ).Let us consider the set of k letters A := {a1, a2, a3, ..., ak}, calledlabels.Definition. Let M ∈ Z. A function lM : V

〈∞〉M → A is called a

good labelling function of order M if the following conditions meet.

(1) The restriction of lM to V〈M〉M is a bijection onto A.

(2) For every M -complex ∆M represented as

∆M = K〈M〉 + ν∆M,

there exists a rotation R∆M∈ RM such that

lM (v) = lM(R∆M

(v − ν∆M

)), v ∈ V (∆M ) .

An USNF K〈∞〉 is said to have the good labelling property of orderM if a good labelling function of order M exists. Note that, in fact,for every M -complex ∆M the restriction of a good labelling functionto V (∆M ) is a bijection onto A.

Remark. Thanks to the self-similar structure of the set K〈∞〉 it hasa good labelling property of order M for some M ∈ Z if and only ifit has this property for every M ∈ Z. We can simply say that K〈∞〉has a good labelling property (GLP).

Figure: Labelling of vertices of the Sierpinski gasket.

Definition of the projection

We define a projection map πM from the unbounded fractal K〈∞〉onto the primary M -complex K〈M〉 by setting

πM (x) = R∆M

(x− ν∆M

)where ∆M = K〈∞〉 + ν∆M

is the M -complex containing x.

Reflected process

The reflected Brownian motion on K〈M〉 is defined as follows:

XMt = πM (Zt) ,

where Zt is a diffusion on unbounded fractal K〈∞〉.

Impossibility of labelling the Lindstrøm snowflake

Can we consistently label vertices of any nested fractal?No, there exist fractals which cannot be labelled, e.g. the Lindstrømsnowflake.Having labelled vertices of the bottom left complex clockwise as a, b,c, d, e, f we know that the bottom right complex must have its leftvertex labelled as c. Labelling other vertices of this complex clockwisedetermines that the label of the top left vertex is d. On the otherhand, the middle complex has the bottom left vertex labelled as b,therefore its bottom right vertex should be labelled as a. The vertexcannot have two labels, therefore this fractal cannot be well labelled.

Figure: Illegal labelling of vertices of the Lindstrøm snowflake.

Figure: The endpoints of the reflected trajectories on snowflake depend on whole pastof the process - the constructed process on snowflake would not have the Markovproperty.

Easy-to-check condition for GLP

The fractal K〈∞〉 has the good labelling property if and only if there

exists a function ˜0 : V〈1〉

0 → A such that the restriction of ˜0 to V〈0〉

0is a bijection into A and the condition (2) is satisfied for every

0-complex ∆0 ⊂ K〈1〉.

GLP Theorem 1.

If k = #V〈0〉

0 is prime, then K〈∞〉 has the good labelling property.

Figure: An example of a fractal with five essential fixed points (description of oneiteration).

GLP Theorem 2.

If k = #V〈0〉

0 = N ≥ 3, then K〈∞〉 has the good labelling property.

Figure: An example of a fractal with six essential fixed points and six fixed points -complexes create ring structures (after three iterations).

GLP Theorem 3.

If 2|k = #V〈0〉

0 , k > 2, then K〈∞〉 has the GLP if and only if the

0-complexes inside the 1-complex K〈1〉 can be divided into two classessuch that each complex from one class intersects only with thecomplexes from the other class.Remark: If k = 4, then the condition above is always satisfied andK〈∞〉 has the GLP.

Figure: An example of a fractal with six essential fixed points, N = 42 (description ofone iteration). The complexes are divided into two classes.

Figure: An example of a fractal with four essential fixed points (description of oneiteration).

Summary

The fractals not considered in any of the theorems above are thefractals for which k is odd, composite and N > k. Below there is anexample of such fractal that cannot be well-labelled.

Figure: An example of a fractal with nine essential fixed points, N = 54, without theGLP (description of one iteration).

Bibliography

[1]: K. Pietruska-Pa luba The Lifschitz singularity for the density ofstates on the Sierpinski gasket, Probab. Theory Related Fields 89(1991), no. 1, 1-33.

[2]: K. Kaleta, M. Olszewski, K. Pietruska-Pa luba Reflected Brownianmotion on simple nested fractals, arXiv preprint 1804.04228(2018).