Local and Non-Local Dirichlet Forms on the Sierpi\'nski Carpet
Alexander Grigor'yan, Meng Yang

TL;DR
This paper constructs a self-similar local Dirichlet form on the Sierpiński carpet through an analytic approach, solving an open problem in fractal analysis by approximating non-local forms.
Contribution
It introduces a purely analytic method to build a local Dirichlet form on the Sierpiński carpet, addressing an open problem in the analysis of fractals.
Findings
Successfully constructs a local regular Dirichlet form on the Sierpiński carpet.
Provides an approximation scheme for stable-like non-local forms.
Answers an open problem in analysis on fractals.
Abstract
We give a purely analytic construction of a self-similar local regular Dirichlet form on the Sierpi\'nski carpet using approximation of stable-like non-local closed forms which gives an answer to an open problem in analysis on fractals.
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Taxonomy
TopicsMathematical Dynamics and Fractals · advanced mathematical theories · Geometry and complex manifolds
Local and Non-Local Dirichlet Forms on the Sierpiński Carpet
Alexander Grigor’yan and Meng Yang
Abstract
We give a purely analytic construction of a self-similar local regular Dirichlet form on the Sierpiński carpet using approximation of stable-like non-local closed forms which gives an answer to an open problem in analysis on fractals.
††Date: ††MSC2010: 28A80††Keywords: Sierpiński carpet, non-local quadratic form, walk dimension, -convergence, Brownian motion, effective resistance, heat kernel††The authors were supported by SFB701 and SFB1283 of the German Research Council (DFG). The second author is very grateful to Dr. Qingsong Gu for very helpful discussions. Part of the work was carried out while the second author was visiting the Chinese University of Hong Kong, he is very grateful to Prof. Ka-Sing Lau for the arrangement of the visit.
1 Introduction
Sierpiński carpet (SC) is a typical example of non p.c.f. (post critically finite) self-similar sets. It was first introduced by Wacław Sierpiński in 1916 which is a generalization of Cantor set in two dimensions, see Figure 1.
SC can be obtained as follows. Divide the unit square into nine congruent small squares, each with sides of length , remove the central one. Divide each of the eight remaining small squares into nine congruent squares, each with sides of length , remove the central ones, see Figure 2. Repeat above procedure infinitely many times, SC is the compact connected set that remains.
In recent decades, self-similar sets have been regarded as underlying spaces for analysis and probability. Apart from classical Hausdorff measures, this approach requires the introduction of Dirichlet forms. Local regular Dirichlet forms or associated diffusions (also called Brownian motion (BM)) have been constructed in many fractals, see [11, 4, 35, 34, 29, 2, 30]. In p.c.f. self-similar sets including Sierpiński gasket, this construction is relatively transparent, while similar construction on SC is much more involved.
For the first time, BM on SC was constructed by Barlow and Bass [4] using extrinsic approximation domains in (see black domains in Figure 2) and time-changed reflected BMs in those domains. Technically, [4] is based on the following two ingredients in approximation domains:
- (a)
Certain resistance estimates. 2. (b)
Uniform Harnack inequality for harmonic functions with Neumann boundary condition.
For the proof of the uniform Harnack inequality, Barlow and Bass used certain probabilistic techniques based on Knight move argument (this argument was generalized later in [7] to deal also with similar problems in higher dimensions).
Subsequently, Kusuoka and Zhou [34] gave an alternative construction of BM on SC using intrinsic approximation graphs and Markov chains in those graphs. However, in order to prove the convergence of Markov chains to a diffusion, they used the two aforementioned ingredients of [4], reformulated in terms of approximation graphs.
However, the problem of a purely analytic construction of a local regular Dirichlet form on SC (similar to that on p.c.f. self-similar sets) has been open until now and was explicitly raised by Hu [26]. The main result of this paper is a direct purely analytic construction of a local regular Dirichlet form on SC.
The most essential ingredient of our construction is a certain resistance estimate in approximation graphs which is similar to the ingredient (a). We obtain the second ingredient—the uniform Harnack inequality in approximation graphs as a consequence of (a). A possibility of such an approach was mentioned in [10]. In fact, in order to prove a uniform Harnack inequality in approximation graphs, we extend resistance estimates from finite graphs to the infinite graphical SC (see Figure 3) and then deduce from them a uniform Harnack inequality-first on the infinite graph and then also on finite graphs. By this argument, we avoid the most difficult part of the proof in [4].
The self-similar local regular Dirichlet form on SC has the following self-similarity property. Let be the contraction mappings generating SC. For all function in the domain of and for all , we have and
[TABLE]
Here is a parameter from the aforementioned resistance estimates, whose exact value remains still unknown. Barlow, Bass and Sherwood [5, 9] gave two bounds as follows:
- •
based on shorting and cutting technique.
- •
based on numerical calculation.
McGillivray [36] generalized above estimates to higher dimensions.
The heat semigroup associated with has a heat kernel satisfying the following estimates: for all
[TABLE]
where is the Hausdorff dimension of SC and
[TABLE]
The parameter is called the walk dimension of BM and is frequently denoted also by . The estimates (1) were obtained by Barlow and Bass [6, 7] and by Hambly, Kumagai, Kusuoka and Zhou [24]. Equivalent conditions of sub-Gaussian heat kernel estimates for local regular Dirichlet forms on metric measure spaces were explored by many authors, see Andres and Barlow [1], Grigor’yan and Hu [15, 16], Grigor’yan, Hu and Lau [18, 20], Grigor’yan and Telcs [23]. We give an alternative proof of the estimates (1) based on the approach developed by the first author and others.
Consider the following stable-like non-local quadratic form
[TABLE]
where as above, is the normalized Hausdorff measure on of dimension , and is so far arbitrary. Then the walk dimension of SC is defined as
[TABLE]
Using the estimates (1) and subordination technique, it was proved in [38, 17] that is a regular Dirichlet form on if and that consists only of constant functions if , which implies the identity
[TABLE]
In this paper, we give another proof of this identity without using the estimates (1), but using directly the definitions (2) and (3) of and .
Barlow raised in [3] a problem of obtaining bounds of the walk dimension of BM without using directly . We partially answer this problem by showing that
[TABLE]
which gives then the same bound for . However, the same bound for follows also from the estimate mentioned above. We hope to be able to improve this approach in order to get better estimates of in the future.
Using the estimates (1) and subordination technique, it was proved in [39] that
[TABLE]
for all . This is similar to the following classical result
[TABLE]
for all , where is some positive constant (see [14, Example 1.4.1]). We reprove (4) as a direct corollary of our construction without using the estimates (1).
The idea of our construction of is as follows. In the first step, we construct another quadratic form equivalent to and use it to prove the identity
[TABLE]
It follows that is a regular Dirichlet form for all . Then, we use another quadratic form , also equivalent to , and define as a -limit of a sequence with . We prove that is a regular closed form, where the main difficulty lies in the proof of the uniform density of the domain of in . However, is not necessarily Markovian, local or self-similar. In the last step, is constructed from by means of an argument from [34]. Then is a self-similar local regular Dirichlet form with a Kigami’s like representation (7) which is similar to the representations in Kigami’s construction on p.c.f. self-similar sets, see [30]. We use the latter in order to obtain certain resistance estimates for , which imply the estimates (1) by [19, 15].
Let us emphasize that the resistance estimates in approximation graphs and their consequence—the uniform Harnack inequality, are mainly used in order to construct one good function on with certain energy property and separation property, which is then used to prove the identity (5) and to ensure the non-triviality of .
An important fact about the local regular Dirichlet form is that this Dirichlet form is a resistance form in the sense of Kigami whose existence gives many important corollaries, see [30, 31, 32].
2 Statement of the Main Results
Consider the following points in :
[TABLE]
[TABLE]
Let , , . Then the Sierpiński carpet (SC) is the unique non-empty compact set in satisfying .
Let be the normalized Hausdorff measure on . Let be given by
[TABLE]
where is Hausdorff dimension of SC, is so far arbitrary. Then is a quadratic form on for all . Note that is not necessary to be a regular Dirichlet form on related to a stale-like jump process. The walk dimension of SC is defined as
[TABLE]
Let
[TABLE]
Then is an increasing sequence of finite sets and is the closure of . Let and
[TABLE]
For all , denote as with for all and for all . For all , denote as with for all .
For all , let
[TABLE]
where is the identity map.
Our semi-norm is given as follows.
[TABLE]
Our first result is as follows.
Lemma 2.1**.**
For all , we have
[TABLE]
The second author has established similar equivalence on Sierpiński gasket (SG), see [40, Theorem 1.1].
We use Lemma 2.1 to give bound of walk dimension as follows.
Theorem 2.2**.**
[TABLE]
This estimate follows also from the results of [5] and [9] where the same bound for was obtained by means of shorting and cutting techniques, while the identity follows from the sub-Gaussian heat kernel estimates by means of subordination technique. Here we prove the estimate (6) of directly, without using heat kernel or subordination technique.
We give a direct proof of the following result.
Theorem 2.3**.**
[TABLE]
where is some parameter in resistance estimates.
Hino and Kumagai [25] established other equivalent semi-norms as follows. For all , let
[TABLE]
For all , denote if . Let
[TABLE]
Lemma 2.4**.**
([25, Lemma 3.1]) For all , we have
[TABLE]
We combine and to construct a local regular Dirichlet form on using -convergence technique as follows.
Theorem 2.5**.**
There exists a self-similar strongly local regular Dirichlet form on satisfying
[TABLE]
By uniqueness result in [8], we have above local regular Dirichlet form coincides with that given by [4] and [34].
We have a direct corollary that non-local Dirichlet forms can approximate local Dirichlet form as follows.
Corollary 2.6**.**
There exists some positive constant such that for all
[TABLE]
Let us introduce the notion of Besov spaces. Let be a metric measure space and two parameters. Let
[TABLE]
and
[TABLE]
By the following Lemma 3.1 and Lemma 3.3, we have for all .
We characterize on as follows.
Theorem 2.7**.**
* and for all .*
We give a direct proof of this theorem using (7) and thus avoiding heat kernel estimates, while using some geometric properties of SC. Similar characterization of the domains of local regular Dirichlet forms was obtained in [28] for SG, [37] for simple nested fractals and [27] for p.c.f. self-similar sets. In [38, 17, 33], the characterization of the domains of local regular Dirichlet forms was obtained in the setting of metric measure spaces assuming heat kernel estimates.
Finally, using (7) of Theorem 2.5, we give an alternative proof of sub-Gaussian heat kernel estimates as follows.
Theorem 2.8**.**
* on has a heat kernel satisfying*
[TABLE]
for all .
This paper is organized as follows. In Section 3, we prove Lemma 2.1. In Section 4, we prove Theorem 2.2. In Section 5, we give resistance estimates. In Section 6, we give uniform Harnack inequality. In Section 7, we give two weak monotonicity results. In Section 8, we construct one good function. In Section 9, we prove Theorem 2.3. In Section 10, we prove Theorem 2.5. In Section 11, we prove Theorem 2.7. In Section 12, we prove Theorem 2.8.
NOTATION. The letters will always refer to some positive constants and may change at each occurrence. The sign means that the ratio of the two sides is bounded from above and below by positive constants. The sign () means that the LHS is bounded by positive constant times the RHS from above (below).
3 Proof of Lemma 2.1
We need some preparation as follows.
Lemma 3.1**.**
([40, Lemma 2.1]) For all , we have
[TABLE]
Corollary 3.2**.**
([40, Corollary 2.2]) Fix arbitrary integer and real number . For all , we have
[TABLE]
The proofs of above results are essentially the same as those in [40] except that contraction ratio is replaced by . We also need the fact that SC satisfies the chain condition, see [17, Definition 3.4].
The following result states that a Besov space can be embedded in some Hölder space.
Lemma 3.3**.**
([17, Theorem 4.11 (iii)]) Let and
[TABLE]
then
[TABLE]
where is some positive constant.
Remark 3.4**.**
If , then .
Note that the proof of above lemma does not rely on heat kernel.
We divide Lemma 2.1 into the following Theorem 3.5 and Theorem 3.6. The idea of the proofs of these theorems comes form [28]. But we do need to pay special attention to the difficulty brought by non p.c.f. property.
Theorem 3.5**.**
For all , we have
[TABLE]
Proof.
First fix , consider
[TABLE]
For all , we have
[TABLE]
Integrating with respect to and dividing by , we have
[TABLE]
hence
[TABLE]
Consider , , . There exists such that . Let be integers to be determined, let
[TABLE]
with terms of , . For all , , we have
[TABLE]
Integrating with respect to , …, and dividing by , …, , we have
[TABLE]
Now let us use . For the first term, by Lemma 3.3, we have
[TABLE]
For the second term, for all , we have
[TABLE]
hence
[TABLE]
and
[TABLE]
Hence
[TABLE]
For the first term, we have
[TABLE]
For the second term, fix , different , correspond to different , hence
[TABLE]
For simplicity, denote
[TABLE]
We have
[TABLE]
Hence
[TABLE]
Take , then
[TABLE]
where is some positive constant from Corollary 3.2. Take sufficiently large such that and , then above two series converge, hence
[TABLE]
∎
Theorem 3.6**.**
For all , we have
[TABLE]
or equivalently for all
[TABLE]
Proof.
Note , it is obvious that its cardinal . Let be the measure on which assigns on each point of , then converges weakly to .
First, for , we estimate
[TABLE]
Note that
[TABLE]
Fix , there exist at most nine such that , see Figure 4.
Let
[TABLE]
For all , , we have , hence
[TABLE]
Note for all . Fix with . If , then or there exists a unique such that
[TABLE]
Let , and
[TABLE]
Then for all , , we have
[TABLE]
For , we have
[TABLE]
Hence
[TABLE]
Let us estimate for . We construct a finite sequence
[TABLE]
such that , and for all , we have
[TABLE]
and for all , we have
[TABLE]
Then
[TABLE]
For all , for all with , the term occurs in the sum with times of the order , hence
[TABLE]
Hence
[TABLE]
Letting , we have
[TABLE]
Hence
[TABLE]
∎
4 Proof of Theorem 2.2
First, we consider lower bound. We need some preparation.
Proposition 4.1**.**
Assume that . Let be a strictly increasing continuous function. Assume that the function , satisfies . Then is a regular Dirichlet form on .
Remark 4.2**.**
Above proposition means that only one good enough function contained in the domain can ensure that the domain is large enough.
Proof.
We only need to show that is uniformly dense in . Then is dense in . Using Fatou’s lemma, we have is complete under metric. It is obvious that has Markovian property. Hence is a Dirichlet form on . Moreover, is trivially dense in and uniformly dense in . Hence on is regular.
Indeed, by assumption, , . It is obvious that is a sub-algebra of , that is, for all , , we have . We show that separates points. For all distinct , we have or .
If , then since is strictly increasing, we have
[TABLE]
If , then let , , we have and
[TABLE]
By Stone-Weierstrass theorem, is uniformly dense in . ∎
Now, we give lower bound.
Proof of Lower Bound.
The point is to construct an explicit function. We define as follows. Let and . First, we determine the values of at and . We consider the minimum of the following function
[TABLE]
By elementary calculation, attains minimum at . Assume that we have defined on , . Then, for , for all , we define
[TABLE]
By induction principle, we have the definition of on all triadic points. It is obvious that is uniformly continuous on the set of all triadic points. We extend to be continuous on . It is obvious that is increasing. For all with , there exist triadic points , then , hence is strictly increasing.
Let , . By induction, we have
[TABLE]
Hence
[TABLE]
For all , we have . By Equation (13), we have
[TABLE]
By Lemma 2.1, . By Proposition 4.1, is a regular Dirichlet form on for all . Hence
[TABLE]
∎
Remark 4.3**.**
The construction of above function is similar to that given in the proof of [3, Theorem 2.6]. Indeed, above function is constructed in a self-similar way. Let be given by , and for all
[TABLE]
It is obvious that
[TABLE]
and
[TABLE]
hence converges uniformly to on . Let be given by
[TABLE]
Then is the unique non-empty compact set in satisfying
[TABLE]
Second, we consider upper bound. We shrink SC to another fractal. Denote as Cantor ternary set in . Then is the unique non-empty compact set in satisfying
[TABLE]
Let
[TABLE]
Then is an increasing sequence of finite sets and is the closure of . Let and
[TABLE]
For all , let
[TABLE]
Proof of Upper Bound.
Assume that is a regular Dirichlet form on , then there exists such that and . By Lemma 2.1, we have
[TABLE]
where is the function on that is the minimizer of
[TABLE]
By symmetry of , . By induction, we have
[TABLE]
hence
[TABLE]
By Equation (14), we have
[TABLE]
hence, . Hence
[TABLE]
∎
5 Resistance Estimates
In this section, we give resistance estimates using electrical network techniques.
We consider two sequences of finite graphs related to and , respectively.
For all . Let be the graph with vertex set and edge set given by
[TABLE]
For example, we have the figure of in Figure 5.
Let be the graph with vertex set and edge set given by
[TABLE]
For example, we have the figure of in Figure 6.
On , the energy
[TABLE]
is related to a weighted graph with the conductances of all edges equal to . While the energy
[TABLE]
is related to a weighted graph with the conductances of some edges equal to and the conductances of other edges equal to , since the term is added either once or twice.
Since
[TABLE]
we use
[TABLE]
as the energy on . Assume that are two disjoint subsets of . Let
[TABLE]
Denote
[TABLE]
[TABLE]
It is obvious that is a metric on , hence
[TABLE]
On , the energy
[TABLE]
is related to a weighted graph with the conductances of all edges equal to . Assume that are two disjoint subsets of . Let
[TABLE]
Denote
[TABLE]
It is obvious that is a metric on , hence
[TABLE]
The main result of this section is as follows.
Theorem 5.1**.**
There exists some positive constant such that for all
[TABLE]
[TABLE]
[TABLE]
Remark 5.2**.**
By triangle inequality, for all
[TABLE]
[TABLE]
We have a direct corollary as follows.
Corollary 5.3**.**
For all
[TABLE]
[TABLE]
Proof.
We only need to show that for all . Then for all
[TABLE]
Similarly, we have the proof of for all .
Indeed, for all , we construct a finite sequence as follows.
[TABLE]
For all , by cutting technique
[TABLE]
Since , we have
[TABLE]
∎
We need the following results for preparation.
First, we have resistance estimates for some symmetric cases.
Theorem 5.4**.**
There exists some positive constant such that for all
[TABLE]
[TABLE]
[TABLE]
Proof.
The proof is similar to [5, Theorem 5.1] and [36, Theorem 6.1] where flow technique and potential technique are used. We need discrete version instead of continuous version.
Hence there exists some positive constant such that
[TABLE]
where is any of above resistances. Since above resistances share the same complexity, there exists one positive constant such that they are equivalent to for all .
By shorting and cutting technique, we have , see [3, Equation (2.6)] or [7, Remarks 5.4]. ∎
Second, by symmetry and shorting technique, we have the following relations.
Proposition 5.5**.**
For all
[TABLE]
[TABLE]
[TABLE]
Third, we have the following relations.
Proposition 5.6**.**
For all
[TABLE]
[TABLE]
[TABLE]
Proof.
The idea is to use electrical network transformations to increase resistances to transform weighted graph to weighted graph .
First, we do the transformation in Figure 7 where the resistances of the resistors in the new network only depend on the shape of the networks in Figure 7 such that we obtain the weighted graph in Figure 8 where the resistances between any two points are larger than those in the weighted graph . For , we have the equivalent weighted graph in Figure 9.
Second, we do the transformations in Figure 10 where the resistances of the resistors in the new networks only depend on the shape of the networks in Figure 10 such that we obtain a weighted graph with vertex set and all conductances equivalent to . Moreover, the resistances between any two points are larger than those in the weighted graph , hence we obtain the desired result. ∎
Now we estimate and as follows.
Proof of Theorem 5.1.
The idea is that replacing one point by one network should increase resistances by multiplying the resistance of an individual network.
By Proposition 5.5 and Proposition 5.6, we have for all
[TABLE]
By Theorem 5.4 and Proposition 5.5, we have for all
[TABLE]
We only need to show that for all
[TABLE]
First, we estimate . Cutting certain edges in , we obtain the electrical network in Figure 11 which is equivalent to the electrical networks in Figure 12.
Hence
[TABLE]
Second, from to , we construct a finite sequence as follows. For ,
[TABLE]
By cutting technique, if is an odd number, then
[TABLE]
If is an even number, then
[TABLE]
Hence
[TABLE]
∎
6 Uniform Harnack Inequality
In this section, we give uniform Harnack inequality as follows.
Theorem 6.1**.**
There exist some constants such that for all , for all nonnegative harmonic function on , we have
[TABLE]
Remark 6.2**.**
The point of above theorem is that the constant is uniform in .
The idea is as follows. First, we use resistance estimates in finite graphs to obtain resistance estimates in an infinite graph . Second, we obtain Green function estimates in . Third, we obtain elliptic Harnack inequality in . Finally, we transfer elliptic Harnack inequality in to uniform Harnack inequality in .
Let be the graph with vertex set and edge set given by
[TABLE]
We have the figure of in Figure 3.
Locally, is like . Let the conductances of all edges be . Let be the graph distance, that is, is the minimum of the lengths of all paths connecting and . It is obvious that
[TABLE]
By shorting and cutting technique, we reduce to to obtain resistance estimates as follows.
[TABLE]
where .
Let be the Green function in a ball . We have Green function estimates as follows.
Theorem 6.3**.**
([19, Proposition 6.11]) There exist some constants such that for all , we have
[TABLE]
[TABLE]
We obtain elliptic Harnack inequality in as follows.
Theorem 6.4**.**
([21, Lemma 10.2],[15, Theorem 3.12]) There exist some constants , such that for all , for all nonnegative harmonic function on , we have
[TABLE]
Remark 6.5**.**
We give an alternative approach as follows. It was proved in [10] that sub-Gaussian heat kernel estimates are equivalent to resistance estimates for random walks on fractal graph under strongly recurrent condition. Hence we obtain sub-Gaussian heat kernel estimates, see [10, Example 4]. It was proved in [22, Theorem 3.1] that sub-Gaussian heat kernel estimates imply elliptic Harnack inequality. Hence we obtain elliptic Harnack inequality in .
Now we obtain Theorem 6.1 directly.
7 Weak Monotonicity Results
In this section, we give two weak monotonicity results.
For all , let
[TABLE]
We have one weak monotonicity result as follows.
Theorem 7.1**.**
There exists some positive constant such that for all , we have
[TABLE]
Proof.
For all with , by cutting technique and Corollary 5.3
[TABLE]
Hence
[TABLE]
∎
For all , let
[TABLE]
We have another weak monotonicity result as follows.
Theorem 7.2**.**
There exists some positive constant such that for all , we have
[TABLE]
Remark 7.3**.**
This result was also obtained in [34, Proposition 5.2]. Here we give a direct proof using resistance estimates.
This result can be reduced as follows.
For all , let
[TABLE]
For all , let be a mean value operator given by
[TABLE]
Theorem 7.4**.**
There exists some positive constant such that for all , we have
[TABLE]
Proof of Theorem 7.2 using Theorem 7.4.
For all , note that
[TABLE]
hence
[TABLE]
∎
Proof of Theorem 7.4.
Fix . Assume that is connected, that is, for all , there exists a finite sequence such that and for all . Let
[TABLE]
For all , let
[TABLE]
It is obvious that
[TABLE]
and is a metric on , hence
[TABLE]
Fix , there exist such that , see Figure 13.
Fix
[TABLE]
By cutting technique and Corollary 5.3
[TABLE]
Hence
[TABLE]
Hence
[TABLE]
In the summation with respect to , the terms are summed at most times, hence
[TABLE]
∎
8 One Good Function
In this section, we construct one good function with energy property and separation property.
By standard argument, we have Hölder continuity from Harnack inequality as follows.
Theorem 8.1**.**
For all , there exist some positive constants , such that for all , for all bounded harmonic function on , we have
[TABLE]
Proof.
The proof is similar to [4, Theorem 3.9]. ∎
For all . Let satisfy and
[TABLE]
Then is harmonic on , for all and
[TABLE]
By Arzelà-Ascoli theorem, Theorem 8.1 and diagonal argument, there exist some subsequence still denoted by and some function on with and such that converges uniformly to on for all . Hence is continuous on , for all and for all .
Proposition 8.2**.**
The function given above has the following properties.
- (1)
There exists some positive constant such that
[TABLE] 2. (2)
For all , we have
[TABLE]
Hence . 3. (3)
[TABLE]
Proof.
(1) By Theorem 5.4 and Theorem 7.1, for all , we have
[TABLE]
(2) By (1), for all , we have
[TABLE]
By Lemma 2.1 and Lemma 3.3, we have .
(3) It is obvious that
[TABLE]
By symmetry, we only need to show that
[TABLE]
Suppose there exists such that . Since is a nonnegative harmonic function on , by Theorem 6.1, for all , there exists some positive constant such that for all
[TABLE]
Since converges uniformly to on , we have
[TABLE]
Hence
[TABLE]
Hence
[TABLE]
By continuity, we have
[TABLE]
contradiction! ∎
9 Proof of Theorem 2.3
First, we consider upper bound. Assume that is a regular Dirichlet form on , then there exists such that and . Hence
[TABLE]
Hence , that is, . Hence .
Second, we consider lower bound. Similar to the proof of Proposition 4.1, to show that is a regular Dirichlet form on for all , we only need to show that separates points.
Let be the function in Proposition 8.2. By Proposition 8.2 (2), we have , hence .
For all distinct , without lose of generality, we may assume that . Replacing by with some and some , we only have the following cases.
- (1)
. 2. (2)
. 3. (3)
, there exist distinct such that
[TABLE] 4. (4)
, there exist distinct such that
[TABLE]
For the first case, . For the second case, .
For the third case. If do not belong to the same one of the following sets
[TABLE]
then we construct a function as follows. Let for all , then
[TABLE]
[TABLE]
[TABLE]
Let
[TABLE]
then is well-defined and , hence . Moreover, , for all .
If do belong to the same one of the following sets
[TABLE]
then it can only happen that or , without lose of generality, we may assume that and , then and .
Let
[TABLE]
then is well-defined and , hence . Moreover , for all .
For the forth case, by reflection about , we reduce to the third case.
Hence separates points, hence is a regular Dirichlet form on for all , hence .
In conclusion, .
10 Proof of Theorem 2.5
In this section, we use -convergence technique to construct a local regular Dirichlet form on which corresponds to the BM. The idea of this construction is from [33].
The construction of local Dirichlet forms on p.c.f. self-similar sets relies heavily on some monotonicity result which is ensured by some compatibility condition, see [29, 30]. Our key observation is that even with some weak monotonicity results, we still apply -convergence technique to obtain some limit.
We need some preparation about -convergence.
In what follows, is a locally compact separable metric space and is a Radon measure on with full support. We say that is a closed form on in the wide sense if is complete under the inner product but is not necessary to be dense in . If is a closed form on in the wide sense, we extend to be outside , hence the information of is encoded in .
Definition 10.1**.**
Let be closed forms on in the wide sense. We say that is -convergent to if the following conditions are satisfied.
- (1)
For all that converges strongly to , we have
[TABLE] 2. (2)
For all , there exists a sequence converging strongly to in such that
[TABLE]
We have the following result about -convergence.
Proposition 10.2**.**
([13, Proposition 6.8, Theorem 8.5, Theorem 11.10, Proposition 12.16]) Let be a sequence of closed forms on in the wide sense, then there exist some subsequence and some closed form on in the wide sense such that is -convergent to .
In what follows, is SC and is Hausdorff measure.
We need an elementary result as follows.
Proposition 10.3**.**
Let be a sequence of nonnegative real numbers.
- (1)
[TABLE] 2. (2)
If there exists some positive constant such that
[TABLE]
then
[TABLE]
Proof.
The proof is elementary using - argument. ∎
Take with . By Proposition 10.2, there exist some subsequence still denoted by and some closed form on in the wide sense such that is -convergent to . Without lose of generality, we may assume that
[TABLE]
We have the characterization of on as follows.
Theorem 10.4**.**
[TABLE]
Moreover, is a regular closed form on .
Proof.
Recall that , then
[TABLE]
We use weak monotonicity results Theorem 7.1, Theorem 7.2 and elementary result Proposition 10.3.
For all , there exists converging strongly to in such that
[TABLE]
Since , we have . Since
[TABLE]
there exists some positive constant such that
[TABLE]
Hence
[TABLE]
Since in , for all , we have
[TABLE]
For all , we have
[TABLE]
Hence implies , by Lemma 3.3, we have . Hence
[TABLE]
Hence for all , we have
[TABLE]
On the other hand, for all , we have
[TABLE]
Therefore, for all , we have
[TABLE]
and
[TABLE]
It is obvious that the function in Proposition 8.2 is in . Similar to the proof of Theorem 2.3, we have is uniformly dense in . Hence is a regular closed form on . ∎
Now we prove Theorem 2.5 as follows.
Proof of Theorem 2.5.
For all , we have
[TABLE]
Hence for all , we have
[TABLE]
For all , we have
[TABLE]
hence .
Let
[TABLE]
Then
[TABLE]
Similarly
[TABLE]
Hence
[TABLE]
Moreover, for all , , we have
[TABLE]
Let
[TABLE]
It is obvious that
[TABLE]
Since is a regular closed form on , by [12, Definition 1.3.8, Remark 1.3.9, Definition 1.3.10, Remark 1.3.11], we have is a separable Hilbert space. Let be a dense subset of . For all , is a bounded sequence. By diagonal argument, there exists a subsequence such that converges for all . Since
[TABLE]
we have converges for all . Let
[TABLE]
Then
[TABLE]
Hence is a regular closed form on . It is obvious that and , by [14, Lemma 1.6.5, Theorem 1.6.3], we have on is conservative.
For all , we have for all and
[TABLE]
Hence on is self-similar.
For all satisfying are compact and is constant in an open neighborhood of , we have is compact and , hence . Taking sufficiently large such that , by self-similarity, we have
[TABLE]
For all , we have or is constant, hence , hence , that is, on is strongly local.
For all , it is obvious that and
[TABLE]
Since and on is strongly local, we have . Hence
[TABLE]
that is, on is Markovian. Hence is a self-similar strongly local regular Dirichlet form on . ∎
Remark 10.5**.**
The idea of the construction of is from [34, Section 6]. The proof of Markovain property is from the proof of [8, Theorem 2.1].
11 Proof of Theorem 2.7
Theorem 2.7 is a special case of the following result.
Proposition 11.1**.**
For all , we have
[TABLE]
Similar to non-local case, we need the following preparation.
Lemma 11.2**.**
([17, Theorem 4.11 (iii)]) Let and
[TABLE]
then
[TABLE]
where is some positive constant.
Remark 11.3**.**
If , then .
Proof of Proposition 11.1.
The proof is very similar to that of Lemma 2.1. We only point out the differences. To show that LHSRHS, by the proof of Theorem 3.5, we still have Equation (8) where is replaced by . Then
[TABLE]
Take , then
[TABLE]
Take sufficiently large such that and , then
[TABLE]
To show that LHSRHS, by the proof of Theorem 3.6, we still have Equation (12). Then
[TABLE]
∎
We have the following properties of Besov spaces for large exponents.
Corollary 11.4**.**
, is uniformly dense in . for all .
Proof.
By Theorem 2.5 and Theorem 2.7, we have is uniformly dense in . Assume that is non-constant, then there exists such that . By Theorem 7.1, for all , we have
[TABLE]
for all , we have
[TABLE]
By Lemma 2.1 and Proposition 11.1, we have for all and for all . ∎
12 Proof of Theorem 2.8
We use effective resistance as follows.
Let be a metric measure space and a regular Dirichlet form on . Assume that are two disjoint subsets of . Define effective resistance as
[TABLE]
Denote
[TABLE]
It is obvious that if , , then
[TABLE]
Proof of Theorem 2.8.
First, we show that
[TABLE]
By Lemma 11.2, we have
[TABLE]
hence
[TABLE]
On the other hand, we claim
[TABLE]
Indeed, fix . If satisfies , , then satisfies , , . By Theorem 2.5, it is obvious that
[TABLE]
hence
[TABLE]
Hence
[TABLE]
For all , we have
[TABLE]
Then, we follow a standard analytic approach as follows. First, we obtain Green function estimates as in [19, Proposition 6.11]. Then, we obtain heat kernel estimates as in [15, Theorem 3.14]. Note that we are dealing with compact set, the final estimates only hold for some finite time . ∎
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