On the slit motion obeying chordal Komatu-Loewner equation with finite explosion time
Takuya Murayama

TL;DR
This paper investigates the behavior of solutions to the chordal Komatu-Loewner equation near explosion time, revealing convergence properties and extending results to stochastic evolutions, thus deepening understanding of slit dynamics in complex analysis.
Contribution
It provides new insights into the asymptotic behavior of solutions near explosion time and extends these results to stochastic Komatu-Loewner evolutions.
Findings
Distance between slits and driving function converges to zero at explosion time
Asymptotic behavior holds for stochastic evolutions under natural assumptions
Enhances understanding of slit dynamics in the upper half-plane
Abstract
This paper studies the behavior of solutions near the explosion time to the chordal Komatu-Loewner equation for slits, motivated by the preceding studies by Bauer and Friedrich (2008) and by Chen and Fukushima (2018). The solution to this equation represents moving slits in the upper half-plane. We show that the distance between the slits and driving function converges to zero at its explosion time. We also prove a probabilistic version of this asymptotic behavior for stochastic Komatu-Loewner evolutions under some natural assumptions.
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On the slit motion obeying chordal Komatu–Loewner equation
with finite explosion time
Takuya Murayama 111Email: [email protected] Department of Mathematics, Kyoto University, Japan.
Abstract
This paper studies the behavior of solutions near the explosion time to the chordal Komatu–Loewner equation for slits, motivated by the preceding studies by Bauer and Friedrich (2008) and by Chen and Fukushima (2018). The solution to this equation represents moving slits in the upper half-plane. We show that the distance between the slits and driving function converges to zero at its explosion time. We also prove a probabilistic version of this asymptotic behavior for stochastic Komatu–Loewner evolutions under some natural assumptions.
Keywords: Komatu–Loewner equation, stochastic Komatu–Loewner evolution, SLE, explosion time, kernel convergence
MSC(2010): Primary 60J67, Secondary 30C20, 60J70, 60H10
1 Introduction
In the theory of conformal mappings on the complex plane, it is often useful to consider the evolution of a one-parameter family of conformal maps or, equivalently, regions that are domains or ranges of these maps. One of the main tools to describe such an evolution is the Loewner differential equation, from which some sharp estimates are obtained on the Taylor coefficients of univalent functions, such as Bieberbach’s conjecture (de Branges’ theorem). See [18] or [8] for this direction. These days, this equation is well known also in probability theory, especially in the context of stochastic Loewner evolution (SLE) defined by Schramm [19]. This random process was introduced to find the scaling limits of several two-dimensional discrete random processes on lattices, and actually a lot of results have been established so far.
Basically, the Loewner equation concerns mappings on simply connected planar domains, such as the unit disk (radial case) or upper half-plane (chordal case). On the other hand, in the so-called bilateral case, Komatu [11, 12] generalized this equation to a circular slit annulus, an annulus with finitely many concentric circular slits removed. On the basis of his argument, Bauer and Friedrich [2, 3] established a more detailed result in the radial case and extended the radial SLE toward a circular slit disk. The chordal case, on which we shall focus in this article, was also generalized to a standard slit domain of the form , where , , are mutually disjoint horizontal slits (i.e., line segments parallel to the real axis) by recent studies [4, 6, 5]. The resulting differential equation is called the chordal Komatu–Loewner equation [4, 6]. In this case, the ranges of the conformal maps are specified in terms of moving slits whose dynamics is described by the Komatu–Loewner equation for the slits [4, 5]. See Figure 1.
In the Loewner theory on simply connected domains, this slit motion does not appear. Thus, there are few results known on the behavior of the solution to the Komatu–Loewner equation for the slits. In particular, the explosion of this solution is a new obstacle of the theory. Motivated by such a background, we focus on the asymptotic behavior of the slit motion around its explosion time in this paper. Assuming , we observe that the distance between the slits and a moving point on the real axis, called the driving function below, converges to zero as . Moreover, we prove a probabilistic version of this asymptotic behavior for stochastic Komatu–Loewner evolutions, which was introduced by Bauer and Friedrich [2, 4] and by Chen and Fukushima [5] to generalize SLE.
In order to provide a mathematical detail and an appropriate intuition on the asymptotic behavior of the slits, we now briefly recall the concrete form of the chordal Komatu–Loewner equations.
Let us consider a typical case where in Figure 1 is given by the trace of a simple curve satisfying and . Then for each , there exists a unique pair of a standard slit domain and conformal map with the hydrodynamic normalization . The image satisfies the chordal Komatu–Loewner equation
[TABLE]
where stands for the -derivative of . The dynamics of the range is also described by the Komatu–Loewner equation for the slits
[TABLE]
where (resp. ) is the left (resp. right) endpoint of the -th slit of . In the equations (1.1) and (1.2), the driving function is given by , and the kernel is the complex Poisson kernel of Brownian motion with darning (BMD) for the domain [6, Lemma 4.1]. If there are no slits (i.e., ) and if holds, then the equation (1.2) does not appear, and (1.1) reduces to the celebrated chordal Loewner equation
[TABLE]
In the previous paragraph, we start at a given trace and then obtain the driving function and equations (1.1) and (1.2). In turn, given a driving function , we consider the initial value problem of (1.1) and (1.2). In this case, let be the maximal time interval of existence of a unique solution to (1.1) for each . Then it can be checked that the solutions constitute a conformal map hydrodynamically normalized, where is given by . Though is not the trace of a simple curve in general, it is at least a (compact -)hull in as in Figure 1. Here, a hull means a non-empty, bounded and relatively closed subset of whose complement in is simply connected. We call the (decreasing) Komatu–Loewner chain and the Komatu–Loewner evolution driven by in this article. In particular, the stochastic Loewner evolution with parameter , abbreviated as , is defined by putting in the Loewner equation (1.3), where is the one-dimensional standard Brownian motion.
In the no slit case , the Loewner evolution is defined on the entire time interval if so is the driving function . However, the Komatu–Loewner evolution is not necessarily defined on even if is defined there, because the ranges in the right-hand side of (1.1) is determined by the slit motion that solves (1.2). Thus, and are defined only up to the explosion time of the solution to (1.2). This is a major difference between the Loewner and Komatu–Loewner equations, and hence the explosion of the solution to (1.2) is the main theme of this paper as mentioned above. In particular, our interests are the following two points:
- •
the asymptotic behavior of the slits of ,
- •
the relation between the asymptotic behaviors of and of .
To give a natural outlook on these two questions, let us formally discuss some possibilities of finite time explosion. The first possibility is a situation where touches or swallows a certain slit at time . Here, we say that swallows a point if is not in the union but in a bounded component of . In this case, the unbounded component of no longer has boundary slits. Hence the equation (1.2) cannot have a solution representing disjoint slits at . The second one is the case where becomes unbounded in finite time. This situation, however, does not seem to happen if is defined on the entire time interval . Since the ‘preimage’ of by is, loosely speaking, the ‘tip’ of , the driving function should diverge if becomes unbounded. As a consequence, we are led to a guess that only the former case occurs when and that, if the slit is touched or swallowed by , then the corresponding slit approaches .
We now state our main results that are based on our observations above. Needless to say, it is difficult to verify all of these observations. However, we can prove that
[TABLE]
assuming that (Theorem 3.1). We note that (1.4) immediately implies that for some , which justifies the comment in [4, Theorem 4.1]. Moreover, we can establish the property (1.4) for the stochastic Komatu–Loewner evolution as well. Let us recall that, motivated by [4], Chen and Fukushima [5] introduced by the following stochastic differential equation (SDE) for the driving function:
[TABLE]
Under mild conditions on and , the property (1.4) still holds almost surely for the solution to the system (1.2) and (1.5) (Theorem 3.2). These two results, Theorems 3.1 and 3.2, are the main results of this paper.
In the proof of (1.4), we need to transform a Komatu–Loewner chain into a Loewner one . Such a transformation method was originally established by Chen, Fukushima and Suzuki [7] and then generalized by the author [16]. See the paragraph after Theorem 2.3 in Section 2 for the background on this transformation method. In the paper [16], a version of Carathéodory’s kernel theorem, which is well known in complex analysis, was formulated and used extensively to establish the general transformation method. This kernel theorem will be used in the proof of (1.4) as well.
The rest of this paper is organized as follows: Section 2 is devoted to a short review on the previous results of [5, 16]. Section 3 is devoted to the formulation and proof of the property (1.4). We formulate (1.4) as Theorem 3.1 and its probabilistic version as Theorem 3.2 in Section 3.1. A key lemma, Lemma 3.4, is also established in the same subsection. Then we prove Theorem 3.1 through Sections 3.2, 3.3 and 3.4. The proof of Theorem 3.2 is given in Section 3.5 based on the proof of Theorem 3.1.
2 Preliminaries
Let , …, be disjoint compact continua in . Here, by a continuum we mean a connected closed sets in having more than one point. We work on a domain of the form thoughout this paper. A basic fact is that, for any hull (or empty set) , the canonical map exists by [16, Proposition 2.3]. This means that is a conformal map onto a standard slit domain with the hydrodynamic normalization , and that the pair is unique. After taking Schwarz’s reflection, the canonical map has the Laurent expansion
[TABLE]
The positive constant is called the half-plane capacity of relative to .
Another basic fact that is used later is a variant of Carathéodory’s kernel theorem. For a sequence of subdomains of , we define the kernel of [16, Definition 3.7] as the largest unbounded domain such that its every compact subset is included by for all sufficiently large . Under the assumption that
- (K.1)
all contain for some fixed ,
the kernel exists uniquely. Here for and . We say that converges to its kernel in the sense of kernel convergence if all subsequences of have the same kernel. We consider, on such domains , a sequence of univalent functions such that
- (K.2)
; 2. (K.3)
for all .
Lemma 2.1** ([16, Lemma 3.9]).**
Under Assumptions (K.1)–(K.3), the sequence of the ranges also satisfies Condition (K.1) with the constant in (K.1) replaced by .
Theorem 2.2** ([16, Theorem 3.8]).**
Suppose that, under Assumptions (K.1)–(K.3), the sequence converges to a domain in the sense of kernel convergence, where is a hull or an empty set, each for is a connected compact subset whose complement in is simply connected, and all ’s are disjoint. Then the following are equivalent:
- (i)
* converges to a univalent function locally uniformly on ;* 2. (ii)
* converges to a domain in the sense of kernel convergence.*
If one of these holds, then and locally uniformly on .
Note that the locally uniform convergence of makes sense since every compact subset of is eventually included by . (In [16] the abbreviation ‘u.c.’ is used to indicate “uniform convergence on compacta” following [8], but in this paper we avoid using it for the sake of readability.)
Keeping these two basic facts in mind, we proceed to the correspondence between driving functions and families of continuously growing hulls via the Komatu–Loewner equations, which was established in [5, 16]. We regard (1.2) as an ordinary differential equation (ODE) on the open subset
[TABLE]
of as follows: For a vector , the segment is denoted by whose endpoints are and . We also put . The functions
[TABLE]
are locally Lipschitz continuous on by [5, Lemma 4.1] (see also [16, Section 2.2]). By utilizing these notations, we can write (1.2) in the form
[TABLE]
Let be a continuous function on a fixed interval and be a strictly increasing and differentiable function on this interval with . Since the right-hand side of (2.1) satisfies the local Lipschitz condition, there exists a unique solution with arbitrary initial value in up to its explosion time . The time may be strictly less than . For this solution , the equation (1.1) is written as
[TABLE]
where we put for . For each point in , this equation has a unique solution up to the time by [5, Theorem 5.5 (i)]. The sets , , constitute a family of growing (i.e., strictly increasing) hulls in , and the function is the canonical map for . See [5, Section 5] for further detail.
While we have seen in Section 1 that the Komatu–Loewner equations were obtained for the canonical map induced from a simple curve, we now notice that these equations should be established even if we start at a nice family of growing hulls. To explain this fact precisely, let be a family of growing hulls in a standard slit domain (of slits) and be the canonical map. We say that
- •
is continuous if is continuous in the sense of kernel convergence [16, Definition 4.2];
- •
is the driving function of if, for each ,
[TABLE]
Suppose that is continuous. Then the range is continuous in the sense of kernel convergence by [16, Lemma 4.4]. The half-plane capacity is also continuous and strictly increasing. Hence we can take a continuous -valued function satisfying and reparametrize so that is differentiable in . The next theorem is, therefore, general enough to discuss what kind of hulls induce the canonical maps satisfying the chordal Komatu–Loewner equations.
Theorem 2.3** ([16, Theorem 4.6]).**
Let be strictly increasing with and . The following are equivalent:
- (i)
* is a family of continuously growing hulls in , its driving function is , and .* 2. (ii)
The slits and map solve (2.1) and (2.2) with .
The condition (i) in Theorem 2.3 is stable under conformal transformation. More precisely, let be a subdomain of with , be another slit domain of a possibly different number of slits, and be a univalent function from into . By [16, Theorem 4.8], the family of the images by is again a family of continuously growing hulls in . Let be the canonical map for and . The driving function of is , and holds. The case where was examined in [7] to reduce the analysis of SKLE to that of SLE. After that, the general case was proven in [16] to give a full comprehension of the locality of [16, Theorem 4.9] and to investigate the existing SLE-type processes on multiply connected domains via the Komatu–Loewner equations. The study [17] on the relation between and the Laplacian- motion [14] illustrates the latter motivation well.
Finally, we note that all the results summarized in this section are also the case for the chordal Loewner equation on by defining except that we do not need to consider the equation for the slits.
Remark 2.4**.**
is always positive because is the Poisson kernel of BMD. Hence both (2.1) and (2.2) yield downward flows, and the hull consists of the points whose images eventually reach the point on . The flow of and the continuity of thus strongly affect the shape of . As for the chordal Loewner equation in , visual and detailed expositions on this relation can be found in some literature, for example, in [10, Chapter 2]. Our observations in Section 1 also comes from such a visual comprehension.
3 Main results and proof
3.1 Asymptotic behavior of the slit motion
Thoughout this section, we fix a standard slit domain of slits. The ODEs (2.1) and (2.2) under the half-plane capacity parametrization are written as follows:
[TABLE]
We formulate the asymptotic behavior (1.4) in terms of the slit vector . We define a function on by
[TABLE]
This function is clearly invariant under horizontal translation, that is, . Here, stands for the vector whose first entries are zero and last entries are . The functions on the right-hand side of (3.1) are also invariant under horizontal translation by [5, Eq. (3.29)]. For later use, we adopt the notation when a function on has this invariance. We have, for example, under this notation. The main result in this section is now stated as follows:
Theorem 3.1**.**
Suppose that and with are given. Let denote the explosion time of the solution to (3.1) driven by with initial value .
- (i)
If is finite, then it holds that
[TABLE] 2. (ii)
The inequality holds, where .
In the proof of this and the next theorems, we consider the following condition for a function on :
- (B)
is bounded on the set for each .
If is invariant under horizontal translation, then this condition is equivalent to the one that
- (B’)
is bounded on the set for each .
Since most of the functions appearing in this paper is invariant under horizontal translation, the latter form (B’) is more convenient to our argument. We shall observe in Lemma 3.4 that the functions enjoy Condition (B).
We now provide a probabilistic version of Theorem 3.1. Let be a non-negative function on homogeneous with degree [math] and be a function on the same space homogeneous with degree , both of which are supposed to enjoy the local Lipschitz continuity. Here, a function of is said to be homogeneous with degree if holds for all and . The stochastic Komatu–Loewner evolution [5, Section 5.1] is defined as the family of continuously random growing hulls in produced by (3.2) and the system of SDEs (3.1) and
[TABLE]
Here, is a one-dimensional standard Brownian motion, and the coefficients in (3.4) are defined by
[TABLE]
By definition, these coefficients are invariant under horizontal translation. Since the local Lipschitz condition is assumed, the system of SDEs (3.1) and (3.4) has a unique strong solution that may blow up [5, Theorem 4.2].
Theorem 3.2**.**
Suppose that functions and on satisfy the local Lipschitz continuity, homogeneity with degree [math] and , respectively, and Condition (B). For and with , let be the explosion time of the solution to the SDEs (3.1) and (3.4) with initial value .
- (i)
The property (3.3) holds almost surely on the event . 2. (ii)
The inequality holds almost surely, where .
We shall discuss a non-trivial example that satisfies the assumptions of Theorem 3.2 in the forthcoming paper [17].
Remark 3.3**.**
We have assumed that the driving function is defined on the infinite time interval in Theorem 3.1. Although we have not assumed it in Theorem 3.2, we shall observe in Section 3.5 that, under Condition (B), the process can be extended continuously as long as the slit vector does not blow up. If we consider the situation where diverges in finite time, then the conclusion of Theorem 3.1 may change as discussed in Section 1. We cannot tell whether the condition (3.3) holds or not, and the hulls may “creep along to infinity very close to the real axis” [4, Section 5.1] in this case.
The proof of Theorems 3.1 and 3.2 takes several steps. The first one is to prove the following key lemma on Condition (B):
Lemma 3.4**.**
The functions , , and
[TABLE]
all satisfy Condition (B).
We call the BMD domain constant of the domain [5, Section 6.1]. By [5, Lemma 6.1], is invariant under horizontal translation, homogeneous with degree and locally Lipschitz continuous.
Proof of Lemma 3.4.
It suffices to prove Condition (B’) as mentioned above. We use classical estimates on the family
[TABLE]
where stands for the unit disk centered at the origin.
Recall from [16, Section 2.1] that the function
[TABLE]
defined in [16, Eq. (2.2)] is holomorphic in after taking Schwarz’s reflection. Here, stands for the mirror reflection with respect to the real axis. It follows from definition that . Accordingly we can check by using [6, Theorem 11.2] that defines a conformal map from onto , where is another standard slit domain. Its Laurent expansion around is given by
[TABLE]
Now assume that for some . Since is a linear fractional transformation that maps [math] to and to [math], the function is univalent on . By the expansion (3.5), we have
[TABLE]
which yields . Thus, we can apply Bieberbach’s theorem (see e.g. [18, Theorem 1.5] or [8, Theorem 14.7.7]) to to obtain
[TABLE]
To show Condition (B’) for , we use Koebe’s one-quarter theorem:
[TABLE]
See [18, Corollary 1.4] or [8, Theorem 14.7.8] for the proof of this theorem. We now observe from (3.6) that the univalent function maps a region outside into . Since holds, we have
[TABLE]
In particular, for the endpoints and of the slit , we get
[TABLE]
This implies Condition (B’) for . ∎
Theorems 3.1 (ii) and 3.2 (ii) easily follow from the estimate (3.8) in the above proof. We prove only the former here, since the latter is obtained in a quite similar way.
Proof of Theorem 3.1 (ii).
By (3.8) we have
[TABLE]
We thus see from (3.1) and the definition of that none of the ’s goes to zero before goes to zero, where is the solution to the ODE
[TABLE]
It is easy to check that satisfies . Hence Theorem 3.1 (ii) follows by letting . ∎
3.2 Outline of the proof of Theorem 3.1 (i)
Suppose that and with are given, and let denote the explosion time of the solution to (3.1) driven by with initial value . Moreover we suppose that is finite.
Proposition 3.5**.**
If
[TABLE]
holds, then (3.3) holds.
Proof.
Suppose that (3.9) holds but for some . There are then two increasing sequences and both converging to such that and . Taking their subsequences if necessary, we may and do assume for without loss of generality. By this assumption , but, in fact, we can show as follows: Let
[TABLE]
The constant is positive, is finite by Lemma 3.4, and
[TABLE]
by (3.1) if and belong to the same subinterval of . Thus it follows from the definition of and that
[TABLE]
Since the right-hand side is independent of , we have , which contradicts . ∎
The proof of (3.9) is rather complicated. We assume to the contrary that
[TABLE]
holds for some .
Proposition 3.6**.**
Under the assumption (3.10), the slit vector converges to an element as .
Proof.
By (3.10) and Lemma 3.4, we have
[TABLE]
Hence the right-hand side of (3.1) is integrable in over the interval . ∎
By Proposition 3.6, the range converges to a domain as in the sense of kernel convergence, and the limit domain is of the form , where denotes the -th “slit” corresponding to . The segment may degenerate to a point or be a subset of for some . Our goal is to show that actually , a contradiction to our assumption that is the explosion time of the solution to the ODE (3.1) on .
For this purpose, we extend the associated Komatu–Loewner evolution driven by in continuously beyond by regarding it as a Loewner evolution in by means of [16, Theorem 4.8]. Let be the inclusion map and be the canonical map for in . We define (by Schwarz’s reflection)
[TABLE]
As explained in Section 2, [7, Theorem 2.6] or [16, Theorem 4.8] implies that is produced by a generalized chordal Loewner equation
[TABLE]
In other words, its half-plane capacity and driving function in are given by
[TABLE]
respectively. The following three assertions hold under the assumption (3.10):
Proposition 3.7**.**
There exist an open interval and constants and such that and
[TABLE]
Corollary 3.8**.**
The monotone limit is finite.
Proposition 3.9**.**
The driving function converges as .
Corollary 3.8 immediately follows from (3.12) and Proposition 3.7. The proof of Propositions 3.7 and 3.9 is postponed to Sections 3.3 and 3.4.
We now put
[TABLE]
for . By this time-change, the equation (3.11) is reduced to the usual Loewner equation (1.3), and the evolution is now produced by (1.3) driven by . Since the driving function can be extended continuously to the interval by Proposition 3.9, we can extend continuously to by solving (1.3) driven by so extended.
Proposition 3.10**.**
Under the assumption (3.10), the inclusion holds. In particular, the image is a non-degenerate -connected domain. (‘Non-degenerate’ means that none of the boundary components of is a singleton.)
Proof.
For , we set
[TABLE]
The function is univalent and defined on a domain containing by the assumption (3.10). Thus, it belongs to by definition, and Koebe’s one-quarter theorem (3.6) implies that for . Combining this inequality with (3.10) and Proposition 3.7, we get
[TABLE]
for . By passing to the limit as , we have
[TABLE]
which yields in view of [15, Section 2.1]. (See also [5, Theorem 5.5 (i)], which we have already referred to in Section 2.) is thus a non-degenerate -connected domain. Since the non-degeneracy of a finitely multiply connected domain is preserved under conformal maps (cf. [8, Exercise 15.2.1]), the proposition follows. ∎
Proposition 3.11**.**
The slit domain is non-degenerate and -connected.
Proof.
We consider the two families of domains
[TABLE]
We have seen just after Proposition 3.6 that the former family converges to as in the sense of kernel convergence. On the other hand, we can observe that the latter one converges to as follows: converges to locally uniformly on as , since is jointly continuous in by a general theory of ODEs. In particular, the same convergence occurs on a smaller domain . Moreover, converges to in the sense of kernel convergence as , because the continuity of the hulls in is inherited from that in (cf. [16, Proposition 4.7]). Thus, it follows from the implication of Theorem 2.2 that converges to .
We now apply the implication of Theorem 2.2 to the mappings , . Then we see that there exists a conformal map , which proves the proposition due to Proposition 3.10. ∎
The claim of Proposition 3.11 is equivalent to , as was to be proven.
3.3 Proof of Proposition 3.7
The aim of this subsection is to prove Proposition 3.7 under the assumption (3.10). By Proposition 3.6, there is a constant so that , where . Since the conformal map is the composite of three maps hydrodynamically normalized, it satisfies
[TABLE]
for some constant . We define a normalized function on by . The function is an element of the set
[TABLE]
Hence we have by [16, Lemma 3.5]. In terms of , this means that
[TABLE]
If had no slits, then the boundedness of would follow from (3.14) combined with elementary tools in complex analysis such as Schwarz’s lemma. These tools, however, do not work on multiply connected domains. For this reason, we employ the boundary Harnack principle instead:
Proposition 3.12** ([1, Theorem 8.7.14]).**
Let be a bounded Lipschitz domain, be an open set, be a compact subset of , and . Then there exists a constant such that, for any two harmonic functions and on taking value zero on , it holds that
[TABLE]
We shall apply this proposition to the harmonic functions and . The sets , , and point in the assumption are chosen as follows (see Figure 2): By the assumption (3.10) and Proposition 3.6, there exist a constant and finite open subinterval of such that
[TABLE]
For this interval , there exist a relatively compact open set and an open set such that
[TABLE]
For this set and an arbitrary fixed point with , we can take a bounded domain with smooth boundary so that
[TABLE]
Now we apply Proposition 3.12 to and with , , and chosen in this way to obtain
[TABLE]
for a constant independent of and .
On the other hand, we can observe from (3.14) that
[TABLE]
Here, is an absorbing Brownian motion in , is the hitting time of to , and stands for the expectation with respect to starting at . Hence we have
[TABLE]
Substituting (3.16) into (3.15) yields that
[TABLE]
Since the function is defined across by Schwarz’s reflection, it is easily checked that for . Thus by taking the limit as goes to in (3.17), we have
[TABLE]
which proves Proposition 3.7.
3.4 Proof of Proposition 3.9
The aim of this subsection is to prove Proposition 3.9 under the assumption (3.10). To this end, we approximate the continuous function by so that
[TABLE]
hold for . Here, the constant and interval are those in Proposition 3.7.
Lemma 3.13**.**
* converges as for each fixed .*
Proof.
is represented as
[TABLE]
for . By Proposition 3.7, we have
[TABLE]
Thus it suffices to prove that in order to establish the lemma.
We begin with the computation of for . By the definition of and , we have
[TABLE]
We denote the first two terms in the last expression (3.18) by . Since is holomorphic on the disk , so is on the punctured disk . Actually, is a removable singularity of because
[TABLE]
by [13, Proposition 4.40]. Consequently, the identity is valid for all .
We now give a closer look at . Since the function with defined by (3.13) belongs to , we have
[TABLE]
by Proposition 3.7 and Koebe’s one-quarter theorem (3.6). Moreover, we utilize the distortion theorem (see [8, Theorem 14.7.9 (a)] or [18, Theorem 1.6 (11)]):
[TABLE]
The inequality (3.20) with and Proposition 3.7 yield, for and ,
[TABLE]
In addition, it follows from (3.14) that
[TABLE]
By (3.19), (3.21) and (3.22), there exists a constant such that
[TABLE]
The maximal value principle for then implies that
[TABLE]
Hence it holds that
[TABLE]
It remains to estimate
[TABLE]
[TABLE]
for and . By the maximal value principle for , we obtain
[TABLE]
[TABLE]
It follows from (3.18), (3.23) and (3.25) that , which is the desired conclusion. ∎
Recall that is assumed at the beginning of this subsection. It holds that
[TABLE]
by Lemma 3.13 and Proposition 3.7. By letting in this inequality and taking (3.22) into account, we observe that converges as . The proof of Proposition 3.9 and thus of Theorem 3.1 (i) is now complete.
3.5 Proof of Theorem 3.2 (i)
This subsection is devoted to the proof of Theorem 3.2 (i), which proceeds along lines similar to those in Section 3.2. Suppose that functions and on satisfy the assumption of Theorem 3.2. We denote by the law of the solution to the SDEs (3.1) and (3.4) with initial value . We write simply as . As mentioned in Chapter IV, Section 6 of [9], the solution becomes a diffusion process on the state space , where is the cemetery, with respect to the augmented filtration of the Brownian motion in (3.4). We denote the lifetime of by . (This is a slight abuse of notation, but there should be no risk of confusion.)
We define an operator for by
[TABLE]
Using this operator, we define a process by
[TABLE]
The functions and are bounded by Condition (B). Hence is a continuous semimartingale whose local martingale part is a square-integrable martingale. Let .
Proposition 3.14**.**
For any starting point and , it holds that for all -almost surely. In particular, converges in as -almost everywhere on .
Proof.
Since and hold for , the conclusion follows from [9, Proposition II.2.2 (iv)] and the localization by an appropriate sequence of stopping times. ∎
For , we define stopping times , and recursively by and
[TABLE]
and events and , , by
[TABLE]
Here we adopt the convention that . By definition, we have and for all and .
Lemma 3.15**.**
It holds that .
Proof.
Assume that there are a sample and an increasing sequence of natural numbers such that holds for all . It follows from definition that , where is the constant in the proof of Proposition 3.5. By this inequality, however, we have
[TABLE]
a contradiction. Therefore, it holds that . Since it is obvious that , the lemma follows. ∎
Proposition 3.16**.**
The event
[TABLE]
is a -null set.
Proof.
We fix an arbitrary . It follows from the strong Markov property of that
[TABLE]
Moreover, we have
[TABLE]
where . Substituting (3.27) into (3.26) yields
[TABLE]
Hence we have
[TABLE]
It follows from the first Borel–Cantelli lemma that , which implies by Lemma 3.15. Since holds, we obtain . ∎
By Proposition 3.16, we can establish Theorem 3.2 (i) if we prove that the event
[TABLE]
is a -null set. To do this, we denote by the driven by and take over the notations in Section 3.2 such as , and so on. The relation (3.12) is vaild also in this case. For a moment, we fix a constant .
Proposition 3.17**.**
There exist a random open interval and constants and such that and
[TABLE]
hold -almost everywhere on .
Proof.
For -a.a. , it holds that . Hence the conclusion follows from Propositions 3.14 and 3.7. For , the conclusion is trivial. ∎
Corollary 3.18**.**
The monotone limit is finite -almost everywhere on .
Proposition 3.19**.**
The process converges as -almost everywhere on .
Proof.
While this proposition follows from Proposition 3.9, we can give a shorter proof in this case by using Itô’s formula. By [7, Theorem 2.8] or [16, Eq. (4.7)], it holds that
[TABLE]
for almost surely under . Here, is the BMD domain constant appearing in Lemma 3.4.
We set
[TABLE]
By Proposition 3.17, we can regard as a progressively measurable process that is bounded on every compact subinterval of a.s. We apply Bieberbach’s theorem to the function defined in (3.13) and use Proposition 3.17 again to obtain
[TABLE]
for a.e. on . Hence is also progressively measurable and bounded on every compact subinterval of a.s. In this way, we observe that
[TABLE]
for all a.s., which implies that a process
[TABLE]
is a continuous semimartingale on . We can check in a way similar to the proof of Proposition 3.14 that holds for all a.s. In particular, converges as on . ∎
Let . It holds that on . From Propositions 3.17, 3.19 and Corollary 3.18, it follows that Propositions 3.10 and 3.11 hold for -a.a. . Hence we have for -a.a. , which yields by the definition of . Since holds, we have , which finishes the proof of Theorem 3.2 (i).
Acknowledgements
I wish to express my gratitude to Professor Roland M. Friedrich for pointing out a lack of references in Section 1 and to the anonymous referee for his or her suggestions very helpful in making the proof transparent.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
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