On the probability of fast exits and long stays of planar Brownian motion in simply connected domains
Abstract
Let denote the first exit time of a planar Brownian motion from a domain . Given two simply connected planar domains containing , we investigate the cases in which we are more likely to have fast exits (meaning for instance for small) from than from , or long stays (meaning for large). We prove several results on these questions. In particular, we show that the primary factor in the probability of fast exits is the proximity of the boundary to the origin, while for long stays an important factor is the moments of the exit time. The complex analytic theory that motivated our inquiry is also discussed.
1 Introduction
The distribution of the exit time of planar Brownian motion from a domain measures in some sense the size of the domain. It can also be used for the study of analytic functions via the conformal invariance of Brownian motion.
Let , denote standard Brownian motion moving in the plane and starting from the origin, (that is, almost surely). We denote by and the corresponding probability measure and expectation, respectively. For a domain containing in the complex plane , we denote by the first exit time of from ; that is
Suppose also that is a univalent function in the well-known class . Thus is a function univalent and holomorphic in the unit disk with and . By a classical result of P. Lévy, the image of under is a Brownian motion with a time change. We describe now a precise version of this conformal invariance of Brownian motion; (see [Dav79, §2]). Let
Observe that is almost surely strictly increasing and set
Define also and
Note that being univalent and holomorphic implies that ; this is a nontrivial statement, but is shown for instance in [Bur77, p.198]. Lévy’s theorem now asserts that is standard planar Brownian motion starting from the origin.
We set
and observe that is the first exit time of from ; that is, . “The distribution of is an intuitively appealing measure of the size of ” [Dav79]. In several classical extremal problems for functions in the class , the identity function is the “smallest” function while the Koebe function is the “largest” function in . B. Davis [Dav79] conjectured that
(1.1) |
for all and all increasing convex functions , and suggested that perhaps
for all and . Apropos the first conjecture T. McConnell [McC85] proved that
(1.2) |
but the full conjecture remains open, as far as we know. McConnell also disproved the second conjecture by finding functions such that
(1.3) |
for all sufficiently small . Davis also asked in what sense, with regard to , the Koebe function is the largest in .
Motivated by these developments, we have considered the following questions. Given two simply connected planar domains containing , what sufficient conditions can we place on the domains so that we are more likely to have fast exits (meaning for instance for small) from than from , or long stays (meaning for large). We have found that the primary factor influencing the probability of fast exits is the proximity of the boundary to the origin. In order to make this more precise, let us introduce the following notation. For any simply connected domain , let
We then have the following theorem, which is the main result of the paper.
Theorem 1
Suppose that . Then, for all sufficiently small ,
(1.4) |
In fact,
We do not know whether is the optimal constant; it may even be that it may be replaced by 1. If so, this would be a surprising property of planar Brownian motion. Evidence for this possibility can be found in the fact that it is true if is a half-plane. This is discussed in more detail in Section 3.
Naturally, it would be nice to have an analog for long stays. We believe that the important factor for long stays in domains is the moments of the exit time. To be precise, for domain let
note that is proved in [Bur77] to be exactly equal to half of the Hardy number of , a purely analytic quantity, as defined in [Han70], and is therefore calculable for a number of common domains. Furthermore as long as . We have the following simple result.
Proposition 1
Suppose that . Then
(1.5) |
We conjecture that this proposition is true with the replaced by , but have not been able to prove it (except when is either a half-plane or quarter-plane). This is discussed in detail in the final section.
2 Proofs
2.1 Proof of Theorem 1
The proof of Theorem 1 is based on the strong Markov property and the explicit formula for the transition density of one-dimensional Brownian motion. Some of the estimates used are probably known to experts; we hope, however, that their elementary derivation and their use in the study of univalent functions are of some interest.
In what follows, will denote one-dimensional Brownian motion. The corresponding probability measure with starting point will be denoted by . The first hitting time of a point will be denoted by . The following well known equality comes easily from the reflection principle; see
[Dur84, p.23]:
(2.1) |
We will use the standard notation for the transition density function of Brownian motion:
It follows from elementary calculus that, for any there exists a constant such that for every ,
(2.2) |
We begin by proving a preliminary proposition, then show how it extends to prove Theorem 1.
Proposition 2
Let for any with . Then
This will be proved through a sequence of lemmas. In what follows, will denote a generic absolute constant that may change from line to line.
Lemma 1
For any , there exist constants such that for every ,
(2.3) |
Lemma 2
For any , there exists a constant such that for every and every ,
(2.5) |
Lemma 3
For any , there exist constants such that for every ,
(2.7) |
Lemma 4
For any , there exist constants such that for every ,
(2.9) |
We can now prove Proposition 2. Fix with and choose so that . For this choice of , fix appropriate for Lemmas 3, and 4. Suppose . We may apply Lemma 3 and Lemma 4, using the independence of and , to get
On the other hand, it is proved in [McC85] that for all and all positive integers ,
(2.12) |
Fixing large enough, we see that for all ,
(2.13) |
Thus,
Now we are ready for the proof of Theorem 1. By the scale invariance of Brownian motion we can assume that , and rotation invariance allows us to assume that , where . Then clearly , and although it is not necessarily true that , we may still use our estimates for as a lower bound by the following lemma.
Lemma 5
Proof: Note that the complex conjugate of , , is also a Brownian motion. Let
We claim that a.s. If not, then the union of Brownian paths
would be a closed curve separating from , and this contradicts simple connectivity. Thus,
But
and the lemma follows.
As for Theorem 1,
completing the proof.
Remark. In fact, Lemma 5 holds with the constant in place of . However, the proof requires a number of results on symmetrization and polarization which are not related to the rest of this paper; for this reason we have given the simpler result and proof above, and postpone the proof of the stronger result until the end of Section 3.
2.2 Proof of Proposition 1
Let and . Since , the well-known Markov inequality (see e.g. [Fol13, 6.17]) implies
We now need a lower bound on . For that purpose we will use the so-called “layer cake” representation for the -th moment (see e.g. [Fol13, 6.24]):
(2.14) |
We now claim that
since otherwise is bounded above by a constant, and then by (2.14) we get which contradicts the definition of . We obtain
which ends the proof.
3 Concluding remarks
As was discussed in the Introduction, Theorem 1 shows that the unit disk is not extremal among Schlicht domains for fast exits. In fact, many Schlicht domains, including the Koebe domain and the half-plane , have a higher probability of fast exits. We do not know if the constant in Theorem 1 is optimal; it would be nice to know what is the best possible. As mentioned in the introduction, there is reason to suspect that the best possible constant is even 1. To see this, let . We then have the following proposition.
Proposition 3
Let W be a simply connected domain with . Suppose that , and . Then, for all sufficiently small ,
(3.1) |
In fact,
Proof: (sketch) By projection onto the real part, the exit time of has the same distribution as , the first hitting time of by a one-dimensional Brownian motion, as defined at the beginning of Section 2. It is then straightforward to show using the Gaussian density that for sufficiently small and any . On the other hand, , and from (2.13) we therefore have for sufficiently small and any . The result follows by choosing small enough so that .
Remark: Naturally, this result holds with replaced by any domain contained in a rotation of .
The moments of the exit time have been considered previously by several authors. In [Bur77], it is shown that for the wedge , that is, the infinite wedge centered at the positive real axis of angular width , we have if and only if , so
(3.2) |
A domain is spiral-like of order with center if, for any , the spiral also lies within ; is star-like if it is spiral-like of order . The quantity can be determined explicitly if is star-like or spiral-like, as is shown in [Mar15], with equivalent analytic results appearing in [Han70] and [Han71]. In particular, if we take then, since is spiral-like, the quantity
(3.3) |
is non-increasing in (here denotes angular Lebesgue measure on the circle). We may therefore let , and then [Mar15, Thm. 2] we have .
As mentioned before we suspect that in many cases the in Proposition 1 is not necessary, and venture the following conjecture.
Conjecture 1
Suppose that and is spiral-like. Then
(3.4) |
Note that this includes the case that is star-like, as well as the wedge . This conjecture would follow from the following, if true.
Conjecture 2
Suppose that is spiral-like. Then for any there is a constant so that .
Our evidence for the truth of Conjecture 1 is at follows. First note that Markov’s inequality, used as in Proposition 1, yields the following fact.
Proposition 4
For any , there is a constant so that .
Furthermore the bound required is true in the sense, as is shown in the proof of Proposition 1. Next we prove Conjecture 1 when is a half-plane or quarter-plane. Let ; recall from (3.2) that . Then, using the reflection principle, can be bounded below as follows.
Now suppose ; recall from (3.2) that . Then, using the independence of the one dimensional components of planar Brownian motion, and the calculation for the half-plane, we have
for bounded away from . Finally, we prove an improvement of Lemma 5, as we promised in Section 2.
Proposition 5
Let be a simply connected domain with and let . If , then for every ,
(3.6) |
Proof: Let be the transition density function for Brownian motion killed upon hitting . Then (see e.g. [CZ12, Theorem 2.4])
(3.7) |
where denotes the area measure. A similar formula holds for . Therefore, it suffices to prove that
(3.8) |
We will prove (3.8) using the theory of polarization and symmetrization. We refer to [Hay94], [Dub14], [BS00] for the definitions and basic facts.
References
- [BS00] F. Brock and A. Solynin. An approach to symmetrization via polarization. Transactions of the American Mathematical Society, 352(4):1759–1796, 2000.
- [Bur77] D. Burkholder. Exit times of Brownian motion, harmonic majorization, and Hardy spaces. Advances in Mathematics, 26(2):182–205, 1977.
- [CZ12] K. Chung and Z. Zhao. From Brownian motion to Schrödinger’s equation, volume 312. Springer Science & Business Media, 2012.
- [Dav79] B. Davis. Brownian motion and analytic functions. The Annals of Probability, 7(6):913–932, 1979.
- [Dub14] V. Dubinin. Condenser capacities and symmetrization in geometric function theory. Springer, 2014.
- [Dur84] R. Durrett. Brownian motion and martingales in analysis. Wadsworth Advanced Books & Software, 1984.
- [Fol13] G. Folland. Real analysis: modern techniques and their applications. John Wiley & Sons, 2013.
- [Han70] L. Hansen. Hardy classes and ranges of functions. The Michigan Mathematical Journal, 17(3):235–248, 1970.
- [Han71] L. Hansen. The Hardy class of a spiral-like function. The Michigan Mathematical Journal, 18(3):279–282, 1971.
- [Hay94] W. Hayman. Multivalent functions, volume 110. Cambridge University Press, 1994.
- [Mar15] G. Markowsky. The exit time of planar Brownian motion and the Phragmén–Lindelöf principle. Journal of Mathematical Analysis and Applications, 422(1):638–645, 2015.
- [McC85] T. McConnell. The size of an analytic function as measured by Lévy’s time change. The Annals of Probability, 13(3):1003–1005, 1985.