Random walks and contracting elements III: Outer space and outer automorphism group
Abstract.
Continuing from [Cho22b], we study random walks on (possibly asymmetric) metric spaces using the bounded geodesic image property (BGIP) of certain isometries. As an application, we show that a generic outer automorphism of the free group of rank at least 3 has different forward and backward expansion factors. This answers a question of Handel and Mosher in [HM07b]. Together with this, we also revisit limit laws on Outer space including SLLN, CLT, LDP and the genericity of a triangular fully irreducible outer automorphisms.
Keywords. Random walk, Outer space, Outer automorphism group, Laws of large numbers, Central limit theorem, Expansion factor, Fully irreducible automorphisms
MSC classes: 20F67, 30F60, 57M60, 60G50
1. Introduction
This is the third in a series of articles concerning random walks on metric spaces with contracting elements. This series is a reformulation of the previous preprint [Cho22a] announced by the author. In this article, we adopt the following convention:
Let be a space with possibly an asymmetric metric. We say that a subset of exhibits bounded geodesic image property (BGIP in short) if the closest point projection of a geodesic onto is uniformly bounded whenever is far away from . An isometry of has BGIP if the orbit is a bi-quasigeodesic with BGIP (see Definition 2.4). Two BGIP isometries and of are independent if there orbits have unbounded Hausdorff distance.
Convention 1.1.
Throughout, we assume that:
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•
is a geodesic metric space, possibly with an asymmetric metric;
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•
is a countable group of isometries of , and
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•
contains two independent BGIP isometries.
We also fix a basepoint .
The main purpose of this article is to generalize the random walk theory in [Cho22b] to asymmetric metric spaces. Our main result concerns the mismatch of the forward translation length and the backward translation length of a generic isometry of .
Theorem A (Asymmetry of a generic translation length).
Let be as in Convention 1.1. Let be the random walk generated by a non-elementary, asymptotically asymmetric measure on . Then for any , we have
As an application, we obtain the following corollary:
Corollary 1.2.
Let be Culler-Vogtmann Outer space of rank and be the corresponding outer automorphism group of the free group . Let be an admissible random walk on . Then for any , we have
Corollary 1.2 asserts that a generic outer automorphism has different expansion factor than its inverse. This was suggested by Handel and Mosher in [HM07b]. There, they proved the asymmetry for a large class of automorphisms, namely, the class of parageometric fully irreducibles ([HM07b, Theorem 1]). Nonetheless, Corollary 1.2 does not follow from Handel and Mosher’s result, as a generic outer automorphism is ageometric and not parageometric ([KMPT22, Corollary C]). Meanwhile, a companion result in [HM07a, Theorem 1.1] provides a constant depending on the rank of the free group such that, for any fully irreducible element , the expansion factor of and of satisfy . In other words, the translation lengths of and are within bounded ratio (see also [AKB12, Theorem 23]).
Together with this, we also recover Horbez’s SLLN [Hor16a, Theorem 5.7] and CLT [Hor18, Theorem 0.2] for displacement, and Dahmani-Horbez’s SLLN for translation length [DH18, Theorem 1.4] on Outer space, the latter with a weaker and optimal moment condition. We also present a CLT for translation length and its converse, which seems new for Outer space. Moreover, we obtain optimal deviation inequalities on Outer space; see [Hor18] for previously known deviation inequalities. Using them, we also establish the geodesic tracking of random walks. Finally, we also discuss the exponential genericity of (atoroidal) fully irreducible automorphisms, which is a recurring theme in [MT18], [TT16] and [KMPT22]; note that we do not require moment conditions here.
In order to apply our general theory to Outer space, we crucially utilize the BGIP of fully irreducible outer automorphisms. Namely, we modify Kapovich-Maher-Pfaff-Taylor’s observation ([KMPT22, Theorem 7.8]) into the following form:
Theorem 1.3.
Let . Then every fully irreducible outer automorphism in has BGIP with respect to the closest point projection.
1.1. Structure of the article
In Section 2, we recall the notion of bounded geodesic image property (BGIP) and prove relevant lemmata. These lemmata were used in [Cho22b] to establish the alignment of sample paths of a random walk, which we rephrase in the language of BGIP. In Section 3, we summarize and generalize the limit laws discussed in [Cho22b] and [Cho22c] while pointing out a subtle difference. In Section 4, we review facts about the outer automorphism group and Outer space. The main result of this section is Theorem 1.3, the BGIP of fully irreducible outer automorphisms. Combining the results in Section 3 and Section 4, we obtain limit laws for in Section 5.
Acknowledgments
The author thanks Hyungryul Baik, Talia Fernós, Ilya Gekhtman, Thomas Haettel, Joseph Maher, Hidetoshi Masai, Catherine Pfaff, Yulan Qing, Kasra Rafi, Samuel Taylor and Giulio Tiozzo for helpful discussions. In particular, the author is grateful to Samuel Taylor for providing the author with a simpler proof of Theorem 1.3. The author is also grateful to the American Institute of Mathematics and the organizers and the participants of the workshop “Random walks beyond hyperbolic groups” in April 2022 for helpful and inspiring discussions.
The author was partially supported by Samsung Science & Technology Foundation grant No. SSTF-BA1702-01. This work constitutes a part of the author’s PhD thesis.
2. Preliminaries
In this section, we gather necessary notions and facts about geodesics, paths, and bounded geodesic image property (BGIP).
2.1. Asymmetric metric spaces
Definition 2.1 (Metric space).
An (asymmetric) metric space is a set equipped with a function that satisfies the following:
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(non-degeneracy) for each , if and only if ;
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(triangle inequality) for each , ;
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(local symmetry) for each , there exist such that holds for .
In this situation, we say that is a metric on . is said to be symmetric if holds for all . We define a symmetric metric called the symmetrization of by
We endow with the topology induced by .
We define the Gromov product between and based at by
From now on, we fix an (asymmetric) metric space . The diameter of a set is defined by
and the (directed) distances between sets are defined by
For , the -neighborhood of a set is defined by
The Hausdorff distance between is defined by
Given , we say that is -coarsely contained by if , and that and are -coarsely equivalent if . We say that is -coarsely connected if for each there exists a a chain of points in such that .
A path is a map from an interval or a set of consecutive integers into . Given a path and in , we denote its restriction to by . Also, we define the reversal of by reversing the orientation, i.e., by precomposing the map from to .
We say that two paths , are -fellow traveling if there exist a non-decreasing surjective map such that for each .
Definition 2.2 (Quasigeodesics).
A path from an interval or a set of consecutive integers is called a -quasigeodesic if
(2.1) |
holds for all such that . If Inequality 2.1 holds for all , we say that is a -bi-quasigeodesic. An -quasigeodesic from an interval to is called a geodesic.
A metric space is said to be geodesic if every ordered pair of points can be connected by a geodesic, i.e., for every there exists a geodesic such that and . We denote by .
Remark 2.3.
In many asymmetric metric spaces (including Culler-Vogtmann Outer space), the reversal of a geodesic may not be a geodesic. Meanwhile, geodesics on asymmetric metric spaces are continuous thanks to the local symmetry of the metric.
We will frequently use Inequality 2.1 in the following form. For any points on a -bi-quasigeodesic , we have
(2.2) |
(2.3) |
Fixing a basepoint , we define the translation length of an isometry of by
The triangle inequality tells us that does not depend on the choice of . Meanwhile, because the metric can be asymmetric, and are not equal in general.
2.2. Bounded geodesic image property (BGIP)
In this subsection, we fix a (possibly asymmetric) metric space . Given a subset of , we define the closest point projection onto by
Definition 2.4 (Bounded geodesic image property).
A subset of a geodesic metric space is said to satisfy the -bounded geodesic image property, or -BGIP in short, if the following hold:
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(1)
for each , is nonempty;
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(2)
for each geodesic such that , we have .
A -bi-quasigeodesic that satisfies -BGIP is called a -BGIP axis.
Observation 2.5.
The reversal of a -BGIP axis is again a -BGIP axis.
Note that strongly contracting property (as in [Cho22b, Definition 2.1]) and BGIP are not equivalent on asymmetric metric spaces. Hence, we need additional arguments to establish the analogues of results in [Cho22b]. Roughly speaking, we need to replace , the distance between two points and , with its symmetrization in the arguments in [Cho22b] and [Cho22c]. For example, we now define that:
Definition 2.6 ([BF09, Definition 5.8]).
Bi-infinite paths , are said to be independent if the map is proper, i.e., for any , is bounded.
Isometries of are said to be independent if their orbits are independent.
Definition 2.7.
A subgroup of is said to be non-elementary if it contains two independent BGIP isometries.
From now on, we always discuss under Convention 1.1: is a geodesic metric space, with possibly asymmetric metric, is a countable group of isometries of , and contains two independent BGIP isometries.
2.3. Random walks
We recall the notations in [Cho22b, Subsection 2.4].
Let be a probability measure , which comes with its reflected version defined by . The random walk generated by is the Markov chain on with the transition probability ; this can be defined on a probability space on which the step elements are measurable, where ’s are i.i.d.s distributed according to . Such a probability space is called the probability space for . Equivalently, is a probability space for if there is a measure preserving map from to .
Given a step path , we define the (bi-infinite) sample path by
We also introduce the notation and . Note that we have an isomorphism by . In view of this, we sometimes write the bi-infinite sample path as .
When a constant is understood, we will denote the -long subpath of the sample path ending at by In other words, we denote the sequence by .
We define the support of , denoted by , as the set of elements of that are assigned nonzero value by . We denote by the product measure of copies of , and by the -th convolution of .
A probability measure on is said to be non-elementary if the semigroup generated by the support of contains two independent BGIP isometries of . is said to be admissible if equals the entire group . is said to be non-arithmetic if there exist and such that . Finally, we say that is asymptotically asymmetric if there exists and such that
The random walk generated by is said to be admissible (non-elementary, non-arithmetic or asymptotically asymmetric, resp.) if is admissible (non-elementary, non-arithmetic or asymptotically asymmetric, resp.).
For a given , we define the -th moment of by
Note that and
are distinct in general, and the finitude of the former does not imply that of the latter. This technicality leads to a subtle difference between limit laws for symmetric and asymmetric metric spaces. However, many asymmetric metric spaces (including Outer space) satisfy the following coarse symmetry: there exists a global constant such that for . Under such a coarse symmetry, a measure has finite -th moment if and only if its reflected version does so. Hence, this subtlety will not matter for Outer space and many other spaces.
2.4. Properties of BGIP axes
In [Cho22b], we summarized some useful properties of contracting axes that were established earlier by many authors in [ACT15], [Sis18], [Yan19]. Here, we record the analogous properties for BGIP axes.
Lemma 2.8 (cf. [Cho22b, Lemma 3.1]).
Let , let be a -BGIP axis and let be a geodesic such that . Then there exist in such that and are -coarsely equivalent, and moreover,
This was proved for symmetric metric spaces in [ACT15, Lemma 2.14], [Sis18, Lemma 2.4] and [Yan19, Lemma 2.4(4)]. We give a proof for asymmetric metric spaces, which is an adaptation of [CCT23, Lemma 2.2], for completeness.
Proof.
Let be the --neighborhood of , be its closure and . Then is closed. Moreover, since , is nonempty by the -BGIP of . We now claim:
Observation 2.9.
Let , let and suppose that . Then and .
Proof of Observation 2.9.
Let and be the infimum and the supremum of . Then is a geodesic disjoint from so holds. Furthermore, belongs to , so there exists such that . Then Observation 2.9 implies
We deduce that
For a similar reason, we have .
We next claim that for each . If , then there exists such that . Then Observation 2.9 implies that
(2.4) | ||||
If , then we take the connected component of . Then the geodesic is disjoint from the -neighborhood of so the diameter of is at most . Moreover, and belong to : let be points such that . By Observation 2.9, we have
Also, we have
In summary, we have as desired.
Next, we claim that for each . If , then by Inequality 2.4.
If , then we take the connected component of , with either or being in . Without loss of generality, suppose that and let be such that . Observation 2.9 and the -BGIP of implies that
Corollary 2.10.
Let and let be a -BGIP axis. Then the closest point projection is -coarsely Lipschitz, i.e.,
Proof.
Let represent the geodesic from to . If has diameter smaller than , the conclusion follows. If not, then by Lemma 2.8, there exist in such that and . We then have
The following lemma was proved in [Cho22b, Section 3.1] for symmetric metrics; the same proof works here as well, after replacing quasi-geodesics with bi-quasigeodesics.
Lemma 2.11 ([Cho22b, Lemma 3.2]).
For each there exists a constant such that the following holds.
Let be a -bi-quasigeodesic whose endpoints are and , let be a subset of such that , , and let be a geodesic that is -coarsely equivalent to . Then and are also -coarsely equivalent, and moreover, there exists a -quasi-isometry such that for each .
Corollary 2.12 ([Cho22b, Corollary 3.3]).
For each there exists a constant such that the following holds.
Let be a -BGIP axis and let be a geodesic connecting the endpoints of . Then there exists a -quasi-isometry such that for each ; in particular, and are -coarsely equivalent.
By using Corollary 2.12 and Corollary 2.10, we deduced the following in [Cho22b, Section 3.1]; the proof there is phrased in terms of symmetric metrics, but the same proof works for asymmetric metrics as well.
Corollary 2.13 ([Cho22b, Corollary 3.4]).
For each there exists a constant that satisfies the following.
Let and be -BGIP axes. Suppose that . Then there exist in and in such that the following sets are all -coarsely equivalent:
Moreover, we have
The following fact is proven in [Yan20, Proposition 2.2.(3)]. For completeness, we sketch the proof in the setting of asymmetric metric spaces.
Lemma 2.14.
For each , there exists such that every subpath of a -BGIP axis is again a -BGIP axis.
Proof.
Let be a -BGIP axis and let be the restriction for some in . Our goal is to find a constant , depending only on , such that implies for each geodesic . Without loss of generality, we can assume that is longer than a large enough constant.
Before the proof, we make a simple observation: for , if intersects , then equals , which is nonempty.
Let . First consider the case that is far from and deep inside . In this case, Lemma 2.8 tells us that passes through a bounded neighborhood of unless is -close to , in which case and are both contained in and . Similarly, when lies deep in , then implies that passes nearby .
Now consider the case that and are both near . Let and be the left and the right components of , respectively. If , resp.) intersects with a bounded neighborhood of (, resp.), then they are far away (because is assumed to be long enough). Lemma 2.8 says that some subgeodesic of is coarsely equivalent to a subset of that coarsely connects and . Lemma 2.11 then tells us that coarsely contains the entire subsegement of in between and , which is . Hence, passes nearby .
By symmetry, it remains to handle the case that and are both contained in a bounded neighborhood . In this case, we claim that is close to . To see this, pick any with large . Also, pick such that . We now apply Lemma 2.8 to the geodesic and obtain its subsegment which is coarsely equivalent to a subset of containing and . Lemma 2.11 then tells us that is close to each for , including . Hence, passes nearby , with and being far away from each other (since is large). This implies that is closer than to , and . This implies that consists of points close to as desired.
For the same reason, is also close to and has small diameter. This ends the proof. ∎
2.5. BGIP axes and alignment
We are now ready to discuss the alignment of BGIP axes.
Definition 2.15 ([Cho22b, Definition 3.5]).
Given paths from to for each , we say that is -aligned if
hold for .
Here, we regard points as degenerate paths. For example, for a point and a path , we say that is -aligned if
Observation 2.16 ([Cho22c, Observation 2.4]).
Let be an isometry of , let , let and let be paths on .
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If and are -aligned, then there concatenation is also -aligned.
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If is -aligned, then is also -aligned.
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If is -aligned, then is also -aligned.
Corollary 2.17 ([Cho22b, Corollary 3.6]).
For each , there exists that satisfies the following.
Let and let be a -BGIP axis such that and such that is -aligned. Then contains a subsegment that is contained in the --neighborhood of and is -fellow traveling with .
The following was proved in [Cho22b] for symmetric metrics. Using Lemma 2.8 and Corollary 2.10 this time, the same proof works for asymmetric metrics as well.
Lemma 2.18 ([Cho22b, Lemma 3.7]).
For each and , there exists that satisfies the following property.
Let be -BGIP axes whose beginning points are and , respectively. Suppose that and are -aligned. Then is -aligned.
In [Sis18], Sisto proved the following property for constricting geodesics with respect to special paths. The same proof works for BGIP axes; we give a rephrasing of Sisto’s proof for convenience.
Lemma 2.19 ([Sis18, Lemma 2.5]).
For each and , there exists that satisfies the following.
Let and be -BGIP axes in . Suppose that is -aligned. Then for any , either is -aligned or is -aligned.
Proof.
Let and be the domains of and , respectively. The assumption says that is close to and is close to . Now, consider the geodesic from to , and pick the earliest point that belongs to the -closed neighborhood of . (Such point exists because .)
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If , then and does not intersect the -neighborhood of . Then is contained in the -neighborhood of , and has diameter at most by the -BGIP of . Now, is -close to by Corollary 2.10, which is close to . It follows that is contained in a uniform neighborhood of , and is aligned.
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(2)
If , then and is does not intersect the -neighborhood of . By a symmetric argument, is uniformly close to and is aligned.∎
Proposition 2.20 ([Cho22b, Proposition 3.11]).
For each and , there exist and that satisfy the following.
Let and be points in and let be -BGIP axes whose domains are longer than and such that is -aligned. Then the geodesic has subsegments , in order from left to right, that are longer than and such that and are -fellow traveling for each . In particular, are -aligned for each .
Often, an isometry gives rise to a periodic aligned sequence of BGIP axes . The following lemma enables to conclude that is an BGIP isometry in this situation.
Lemma 2.21 ([Yan19, Proposition 2.9]).
For each and , there exist and that satisfies the following.
Let be -BGIP axes whose domains are longer than . Suppose that is -aligned and for each . Then the concatenation of is an -BGIP axis.
Lemma 2.22 ([Yan19, Proposition 2.9]).
For each and , there exist and that satisfies the following.
Let be -BGIP axes whose domains are longer than , and suppose that is connecting to . Suppose that is -aligned. Then the concatenation is an -quasigeodesic.
Here, note that the resulting path in Lemma 2.22 may not be bi-quasigeodesic.
We now recall the concept of Schottky sets. Given a sequence , we employ the following notations:
Definition 2.23 ([Cho22b, Definition 3.14]).
Let and be a set of sequences of isometries. We say that is -Schottky if the following hold:
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(1)
is a -BGIP axis for all ;
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(2)
for each , we have
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(3)
for each , is -aligned.
We say that is large enough if its cardinality is at least 400.
Definition 2.24 ([Cho22c, Definition 2.8]).
Given a constant , we define:
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be as in Lemma 2.18,
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, be as in Proposition 2.20,
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, be as in Proposition 2.20,
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be as in Lemma 2.21.
A -Schottky set is called a fairly long -Schottky set if:
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(1)
, and
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for all .
When the Schottky parameter is understood, the constants always denote the ones defined above. Once a fairly long Schottky set is understood, its element is called a Schottky sequence and the translates of are called Schottky axes. When a probability measure on is given in addition such that , we say that is a fairly long Schottky set for .
Definition 2.25 ([Cho22b, Definition 3.16]).
Let be a fairly long Schottky set and let . We say that a sequence of Schottky axes is -semi-aligned if it is a subsequence of a -aligned sequence of Schottky axes.
More precisely, for Schottky axes , we say that is -semi-aligned if there exist Schottky axes such that is -aligned and if there exists a subsequence such that for .
Similarly, for points and Schottky axes , we say that is -semi-aligned if it is a subsequence of a -aligned sequence for some Schottky axes .
Proposition 2.20 implies the following corollary.
Corollary 2.26.
Let be a fairly long -Schottky set, with constants as in Definition 2.23. Let and be Schottky axes. Then is -aligned , resp.) whenever it is -semi-aligned (-semi-aligned, resp.), and moreover, contains subsegments , each longer than (, resp.) and in order from closest to farthest from , such that and are -fellow traveling (-fellow traveling, resp.) for each .
3. Limit laws
Recall again that we are fixing an asymmetric metric space and its countable isometry group involving two independent BGIP isometries. We will now describe the results established in Section 4, 5 and 6 of [Cho22b].
3.1. Results from [Cho22b]
In [Cho22b, Section 5], the author constructed pivotal times, first in a discrete model and next in random walks, following the idea of Gouëzel [Gou22, Section 4A]. The arguments in [Cho22b, Section 5] relied the following ingredients:
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(1)
Existence of large and fairly long Schottky set for non-elementary probability measure (Proposition 2.27),
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(2)
Alignments of points and Schottky axes (the properties of Schottky set described in Definition 2.23), and
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Alignment lemma that guarantees the alignment of two Schottky axes given the alignments of one Schottky axis and an endpoint of another Schottky axis (Lemma 2.18).
Since we have the versions of alignment and Schottky set for BGIP isometries, the entire proof works verbatim. As a consequence, we obtain the following proposition. Recall again the notation
Definition 3.1 ([Cho22b, Definition 4.1]).
Let be as in Convention 1.1, let be a non-elementary probability measure on , let be a probability space for , let and let be a fairly long -Schottky set contained in .
A subset of is called a pivotal equivalence class if there exists a set , called the set of pivotal times, such that the following hold:
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for each , is fixed on ;
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(2)
for each and , is a Schottky sequence;
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for each , the sequence is -semi-aligned;
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(4)
on , are i.i.d.s distributed according to the uniform measure on .
For , we call the set of pivotal times for and write it as .
We say that a pivotal equivalence class avoids an integer if is not in .
Proposition 3.2 ([Cho22b, Proposition 4.2]).
Let be as in Convention 1.1, let be a non-elementary probabiltiy measure on and let be a large and fairly long Schottky set for . Then there exist a probability space for and a constant such that, for each , we have a measurable partition of by pivotal equivalence classes avoiding , , and , that satisfies
for each choice of and for each .
Furthermore, again by using the property of Schottky set (Definition 2.23) and the alignment lemma (Lemma 2.18), we obtained the following:
Corollary 3.3 ([Cho22b, Corollary 4.5]).
Let be as in Convention 1.1, let be a non-elementary probability measure on , let and let be a long enough -Schottky set for with cardinality . Let be a pivotal equivalence class for with and let be a point in . Then for each we have
Moreover, for any , and , we have
Corollary 3.4 ([Cho22b, Corollary 4.6]).
Let be as in Convention 1.1, let be a non-elementary probability measure on and be its reflected version, let and let and be long enough -Schottky sets for and , respectively, with cardinality . Let be a pivotal equivalence class for with , and let be a pivotal equivalence class for with . Then for each we have
Combining these, we proved in the proof of [Cho22b, Corollary 4.7] that:
Proposition 3.5 ([Cho22b, Corollary 4.7]).
Let be as in Convention 1.1, let be a non-elementary probability measure on , let be a probability space for , and let be a large and fairly long Schottky set for . Then there exists such that
Now, Corollary 2.26 and our choices of the constants tells us that, if is a -semi-aligned sequence, then is larger than . Combining this with Proposition 3.5, we deduce the strict positivity of the escape rate:
Theorem 3.6 ([Cho22b, Corollary 4.7]).
Let be as in Convention 1.1 and let be the random walk generated by a non-elementary probability measure on . Then there exists a strictly positive quantity , called the drift of , such that
We next turn to deviation inequalities. We use the parametrization . In [Cho22b], we defined:
Definition 3.7 ([Cho22b, Section 4.3]).
Let be as in Convention 1.1, let be a non-elementary probability measure on and let be a large and fairly long -Schottky set in for some .
For , we define to be the minimal index such that there exists satisfying:
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(1)
is a Schottky axis;
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(2)
is -semi-aligned for all and .
We then define to be the minimal index such that there exists satisfying:
-
(1)
is a Schottky axis;
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(2)
is -semi-aligned for all and .
Lemma 3.8 ([Cho22b, Lemma 4.9]).
Let be as in Convention 1.1, let be a non-elementary probability measure on and let be a large and long enough Schottky set for . Then there exists such that
(3.1) |
holds for every and every choice of , and
(3.2) |
holds for every and every choice of .
This martingale-like estimates enable us to compute the moments of and based on the moments of and , respectively. In [Cho22b, Lemma 4.8], these quantities were used to estimate the Gromov product between the backward and the forward sample paths. This lemma needs a modification in our setting due to the asymmetry of the metric:
Lemma 3.9 (cf. [Cho22b, Lemma 4.8]).
Let be as in Convention 1.1, let be a non-elementary probability measure on and let be a fairly long Schottky set for . Then for each , we have
(3.3) |
for all and . Moreover, we have
(3.4) |
for all .
Proof.
For the first assertion, let be the index such that is -semi-aligned for all and . Since is -semi-aligned, Corollary 2.26 tells us the geodesic contains a point in the --neighborhood of , the beginning point of . We then have
This implies that
(3.5) |
Meanwhile, and are both -semi-aligned as well. By Corollary 2.26, contains a subsegment longer than that is -fellow traveling with . It follows that . ) Similarly, by applying Corollary 2.26 to , we deduce that . () By combining these with Inequality 3.5, we conclude the first claim.
Let us now see the second assertion. When and , the conclusion follows from the definition of the Gromov product.
Next, consider the case that and . Together with the choice of , let be the index such that is -semi-aligned for all and . Then is -semi-aligned, hence -aligned by Corollary 2.26, for and . Similarly, is -aligned for and . We conclude that
By Proposition 2.20, there exist , with coming first, such that and . We then have
Meanwhile, by ) and ), we have and . Combining these yields the conclusion.
Finally, consider the case that and . Then is -aligned. By Proposition 2.20, there exist such that . We then have
This implies that . Meanwhile, by , we have . Combining these results yields the conclusion. The case and can be handled with a similar argument. ∎
Because Inequality 3.3 involves instead of , [Cho22c, Proposition 4.10] now requires the finite -th moment of with respect to , or equivalently, the finite -th moments of and :
Proposition 3.10 ([Cho22b, Proposition 4.10]).
Let be as in Convention 1.1, let and let be the (bi-directional) random walk generated by a non-elementary probability measure on . Suppose that both and has finite -th moment. Then the random variable has finite -th moment.
Proof.
Note that the assumption implies that . The proof is done almost verbatim to the proof of [Cho22b, Proposition 4.10], after replacing with throughout. ∎
By using Inequality 3.4 instead, we obtain the following weaker result:
Proposition 3.11 ([Cho22b, Proposition 4.10]).
Let be as in Convention 1.1, let and let be the (bi-directional) random walk generated by a non-elementary probability measure on with finite -th moment. Then the random variable has finite -th moment.
Proof.
Let be as in Lemma 3.8. We define and . Note the following consequence of the triangle inequality:
Also note the following computation: if non-negative constants and satisfy , then
Noting this inequality, by Lemma 3.9, we have
Hence, it suffices to control and on . The computations are analogous so we will only show that is finite. First, when , the concavity of tells us that for each . Hence, we compute
(3.6) | |||||
When , we have
Using this, we can bound by a linear combination of and . The former summation was bounded by a multiple of in Display 3.6. We now treat the summands of the latter summation as follows:
(3.7) | ||||
Here, the final term due to the fact that for nonnegative RVs ’s. Since this summand is exponentially decaying, its summation is finite as desired. ∎
Using Inequality 3.4, we also obtain the exponential deviation inequality as below.
Proposition 3.12 ([Cho22b, Corollary 4.12]).
Let be as in Convention 1.1 and let be the (bi-directional) random walk generated by a non-elementary random walk on with finite exponential moment. Then there exists such that
Proof.
From these deviation inequalities, we deduced several limit theorems in [Cho22b, Section 4.4]. These include:
Theorem 3.13 ([Cho22b, Theorem 4.13]).
Let be as in Convention 1.1 and let be the random walk generated by a non-elementary probability measure on with finite second moment. Then the following limit (called the asymptotic variance of ) exists:
and the random variable converges in law to the Gaussian law with zero mean and variance .
Theorem 3.14 ([Cho22b, Theorem 4.16]).
Let be as in Convention 1.1 and let be the random walk generated by a non-elementary probability measure on with finite second moment. Then for almost every sample path we have
where is the drift of and is the asymptotic variance of .
Theorem 3.15 ([Cho22c, Theorem 4.18]).
Let be as in Convention 1.1 and let be the random walk generated by a non-elementary measure on .
-
(1)
Suppose that and have finite -th moment for some . Then for almost every sample path , there exists a quasigeodesic such that
-
(2)
Suppose that and have finite exponential moment. Then there exists such that for almost every sample path , there exists a quasigeodesic satisfying
In [Cho22b, Section 6], we discussed a more complicated version of pivotal times following [Gou22, Section 5.A]. The ingredients required for the construction of pivotal times are again Definition 2.23 and Lemma 2.18. Furthermore, [Cho22b, Lemma 3.17] linked the alignment and the almost additivity of (forward) step progresses, and Proposition 2.20 now plays the same role. Hence, by following [Cho22b, Section 6], we deduce the large deviation principle:
3.2. Results from [Cho22c]
We now discuss the results of [Cho22c], which consists of two parts. In the first part, we made use of the properties of the indices and in Definition 3.7. As we saw in Lemma 3.9, the asymmetry of the metric necessitates suitable modification.
For us, [Cho22c, Claim 3.3] during the proof of [Cho22c, Theorem B] requires a modification. This claim asserts that the discrepancy between the displacement and the translation length of a random isometry is bounded by (a multiple of) the minimum of and . This remains true if we replace with , and we obtain the full conclusion of [Cho22c, Theorem B.(1)] if and have finite -th moment.
In general, we have the following modified version of [Cho22c, Claim 3.3].
Lemma 3.18.
Let be as in Convention 1.1, let be a non-elementary probability measure on with finite -th moment, and let be a fairly long Schottky set for . Then for each , there exist RVs and such that the following holds:
-
(1)
and each have the same distribution with and for ;
-
(2)
holds outside a set of exponentially decaying probability (in ).
Proof.
We follow the proof of [Cho22c, Theorem B]. Let be the constants associated to the Schottky set .
First, we prepare two bi-infinite sequences and of independent RVs, all distributed according to . Following our standard convention, always denotes . We now fix , and define
Then is distributed according to for . Using them, we similarly defined other RVs such as
Finally, we will set and . Since is distributed according to , we can verify Item (1) of the conclusion.
We then define
Since and are both distributed according to , Lemma 3.8 implies that decays exponentially in .
In the proof of [Cho22c, Claim 3.3], using the alignment lemma (Proposition 2.20 in the current setting), we showed the existence of such that:
-
(1)
and are Schottky axes;
-
(2)
on , is -aligned;
-
(3)
on , is -aligned;
-
(4)
on , for each , there exist points on , from left to right, so that
Then we have
(3.8) | ||||
(3.9) |
and we deduce
By dividing by and taking the limit, we deduce that
Meanwhile, the alignments of and imply that is smaller than , and that is smaller than . This concludes Item (2). ∎
Given this lemma, it follows that
for every . Since has the same distribution with , which has finite -th moment (cf. Proposition 3.11), is summable. Using Borel-Cantelli lemma, we conclude:
Theorem 3.19.
Let be as in Convention 1.1, and be the random walk generated by a non-elementary measure on . If has finite -th moment for some , then
We note again that if and both have finite -th moment, the proof of [Cho22b, Theorem B] works up to changing with and give the stronger result (-tracking, and logarithmic tracking when ).
Although we have weaker result than [Cho22b, Theorem B], Theorem 3.19 is sufficient to deduce the corollaries. Namely, combined with the SLLN and CLT for displacement (Theorem 3.16 and 3.13), Theorem 3.19 implies:
Corollary 3.20 ([Cho22c, Corollary 3.7]).
Let be as in Convention 1.1, and let be the random walk generated by a non-elementary measure on with finite first moment. Then
(3.10) |
holds almost surely, where is the escape rate of .
Corollary 3.21 ([Cho22c, Corollary 3.8]).
Let be as in Convention 1.1, and let be the random walk generated by a non-elementary measure on . If has finite second moment, then there exists such that and converge to the same Gaussian distribution in law. We also have
Meanwhile, the exponential bound in [Cho22c, Theorem A] was established based on Inequality 3.8 and the exponential bound for displacement (Theorem 3.16). Moreover, we know that exponentially generic isometries have BGIP, this time using Lemma 2.21 instead of [Cho22c, Lemma 2.7]. Considering these, the proof of [Cho22c, Theorem A] yields the following:
Theorem 3.22.
Let be as in Convention 1.1 and let be the random walk generated by a non-elementary measure on . Let be the escape rate of , i.e., . Then for each , there exists such that for each we have
In the second part of [Cho22c], we discussed the pivotal time construction following [Gou22, Subsection 5.A]. [Cho22c, Section 4.1] describes pivotal times in a discrete model, which applies to the current setting verbatim. We record one definition from [Cho22c, Section 4.1].
Definition 3.23 ([Cho22c, Defnition 4.2]).
Let be as in Convention 1.1. Given a fairly long Schottky set , we define
In [Cho22c, Section 4.2], we made several reductions for random walks. In [Cho22c, Section 4.3], we discussed the pivoting for translation length. Thanks to the existence of Schottky set for non-elementary probability measures, (Proposition 2.27), the property of Schottky sets (Definition 2.23) and alignment lemma (Lemma 2.18, we can bring these to the current setting of Convention 1.1.
For latter use, let us record one lemma from [Cho22c, Section 4.2].
Lemma 3.24 (cf. [Cho22c, Lemma 4.6]).
Let be as in Convention 1.1, let be a non-elementary probability measure on , let be a probability measure dominated by a multiple of a convolution of (i.e., there exists such that for all ) and let be a fairly long -Schottky set for . Then for each there exist an integer , a probability space , a measurable subset , a measurable partition of , and random variables
such that the following hold:
-
(1)
and .
-
(2)
On each equivalence class , are constant and are i.i.d.s distributed according to .
-
(3)
is distributed according to on and
holds on .
In [Cho22c, Lemma 4.6], the lemma was stated for the case . By employing the decomposition
for a suitable choice of and (nonnegative) probability measure , the proof of [Cho22c, Lemma 4.6] leads to the current general version.
In [Cho22c, Section 4.4], we made the first application of the discussion above, which is the converse of CLT. For future use, we record a slight modification of [Cho22c, Corollary 4.13].
Definition 3.25 ([Cho22c, Definition 4.7]).
Let be as in Convention 1.1, let and , and let be a fairly long Schottky set. (This determines following Definition 3.23.) We say that a sequence in is -pre-aligned if, for the isometries and
the sequence
is -semi-aligned for any choices of ().
We say that an isometry is -pre-aligned if
is -semi-aligned for any choices of .
Corollary 3.26 (cf. [Cho22c, Corollary 4.13]).
Let be as in Convention 1.1, let be a non-elementary probability measure on , let be a probability measure dominated by a multiple of a convolution of , and let be a fairly long -Schottky set for with cardinality at least . Then for each , for each , there exist , a probability space with a measurable subset , a measurable partition of and RVs
such that the following hold:
-
(1)
and eventually.
-
(2)
On , is a -pre-aligned sequence in and is a -pre-aligned isometry.
-
(3)
On each equivalence class , are constant and are i.i.d.s distributed according to the measure conditioned on .
-
(4)
is distributed according to on and
holds on .
The difference between [Cho22c, Corollary 4.13] and Corollary 3.26 is that:
-
(1)
is a measure dominated by some instead of ;
-
(2)
eventually lies in , rather than growing linearly.
The first item was addressed in Lemma 3.24. Next, the original proof of [Cho22c, Corollary 4.13] (which depends on [Cho22c, Lemma 4.6]) can in fact handle the second item, thanks to the following fact: if we have a decomposition
for some , then the decomposition of the same form is possible for all .
As an example, we can plug in for . Combining this with Proposition 2.20, we obtain the following.
Proposition 3.27.
Let be as in Convention 1.1. Given a non-elementary probability measure on , there exists such that the following holds.
For each , there exists such that the following holds outside a set of exponentially decaying probability. For a random path , there exist such that , , are --close to points on , respectively, such that for each .
The discussion so far was about securing the alignment. We now need to couple the alignment and (almost) additivity of the displacement along sample path. Thanks to Proposition 2.20, we can generalize such a coupling to the setting of Convention 1.1 as well.
Lemma 3.28.
Let be as in Convention 1.1, let be a large and fairly long -Schottky set for , and fix a -pre-aligned sequence in such that is a -pre-aligned isometry. Given for , define and
Let be a probability measure on and let be i.i.d.s distributed according to . Then the following hold:
-
(1)
and differ by at most ;
-
(2)
are constant RVs;
-
(3)
for each , is bounded by ;
-
(4)
for each , and are independent;
-
(5)
the translation length and differ by at most .
Proposition 3.29 ([Cho22c, Proposition 4.16]).
Let be as in Convention 1.1 and let be the random walk on generated by a non-elementary measure with infinite second moment. Then for any sequence of real numbers, neither of and converges in law.
The remaining part of [Cho22c] works verbatim, and we obtain the following results.
Theorem 3.30.
Let be as in Convention 1.1, and be independent random walks generated by a non-elementary measure on . Then there exists such that
Theorem 3.31.
Let be a finitely generated group acting on an asymmetric metric space with at least two independent BGIP elements. Then for each , there exists a finite generating set of such that
converges to 1 exponentially fast.
3.3. Proof of Theorem A
We first formulate a variation of Proposition 2.27.
Lemma 3.32.
Let be as in Convention 1.1 and let be a non-elementary probability measure on . Then for each , there exist , and a -Schottky set of cardinality in satisfying the following: for every , there exist such that
(3.11) |
Proof.
Let be given. Without loss of generality, we can assume . We take be as in Proposition 2.27, be as in Lemma 2.18 and , be as in Proposition 2.20. Note that only depends on and not on .
Now, by Proposition 2.27, there exists a -Schottky set of cardinality in for some . We claim that satisfies the desired property. First, the inequality tells us that is automatically a -Schottky set. It remains to check the condition in Display 3.11.
For this, let . Note that . By the -Schottky property (2) of , there exist such that is -aligned. Fixing such an , again the -Schottky property (2) of guarantees the existence of such that is -aligned. Then by Lemma 2.18, is -aligned.
Next, note that is not -aligned, as . By Schottky property (2), we conclude that is -aligned for every , or equivalently, is -aligned. In this case, since is -aligned, we conclude that is -aligned by Lemma 2.18. Meanwhile, Schottky property (3) guarantees that is -aligned as well.
For a similar reason, is -aligned for every . In conclusion, the following sequence is -aligned for every :
Also, the involved -Schottky axes have domains longer than . We then apply Proposition 2.20 to conclude that
are -aligned as desired. ∎
We are now ready to prove Theorem A.
Proof.
Let be a non-elementary and asymptotically asymmetric measure on . We take as in Lemma 3.32. Lemma 3.32 guarantees that there exists a fairly long -Schottky set with cardinality at least 400, with the property that for every , there exist such that Display 3.11 is satisfied. This choice of is fixed throughout.
We now pick a large enough positive integer . Since is asymptotically asymmetric, we can take for some such that
By replacing and with their suitable powers, we may assume that
(3.12) |
Now let be as in Display 3.11 for , and define . Then belongs to , and holds for all . Note also that
(3.13) | |||
and similarly and differ by . We can similarly take such that for all , and so that
(3.14) |
For convenience, we introduce the notation
Combining Inequality 3.12, 3.13 and 3.14, we conclude
(3.15) | ||||
Let be the measure assigning to each of and . Then is dominated by a multiple of . We now apply Corollary 3.26: for each , we obtain an integer , a probability space with , and a measurable partition of , and RVs
such that the following hold:
-
(1)
and eventually;
-
(2)
On , is a -pre-aligned sequence in and is a -pre-aligned isometry.
-
(3)
On each equivalence class , are constant and are i.i.d.s distributed according to the measure conditioned on .
-
(4)
is distributed according to on and
holds on .
Recall that for any and . Hence, the support of restricted to is , and has the law .
Now, let us pick an equivalence class . Conditioned on , Lemma 3.28 guarantees the existence of points such that the following hold:
-
(1)
and differ by at most for ;
-
(2)
are constant RVs;
-
(3)
for each , is bounded by ;
-
(4)
the translation length and differ by at most .
In view of Observation 2.5 and Observation 2.16(2), we also have that:
-
(1)
and differ by at most for ;
-
(2)
are constant RVs;
-
(3)
for each , is bounded by ;
-
(4)
the translation length and differ by at most .
Now, for each we define
Note that and are constant on . Moreover, we have
Also, recall that and differ by at most , and that
Finally, and differ by at most . Combining these, we conclude that
Similarly, using the equality
we conclude that
This implies that falls in to the interval of width , centered at . Note that
Hence, the intervals are disjoint and -separated from each other. This implies that only at most one of them can intersect the interval .
Meanwhile, note that
From this, we obtain
Since is partitioned with such an equivalence class and takes up most of asymptotically, we conclude that
We now send to infinity to conclude. ∎
4. Outer space
In this section, we collect facts about the outer automorphism group and Outer space. For detailed definitions and theories, we refer the readers to the general exposition by Vogtmann [Vog15] or individual papers, e.g. [BH92], [FM11], [FM12], [AKB12], [AK11], [DH18], [DT18] and [KMPT22].
Let be the Culler-Vogtmann Outer space of rank , which is the space of unit-volume marked metric graphs with fundamental group . In other words, a point corresponds to the homotopic class of a homotopy equivalence , where is a fixed rose with petals and is a unit-volume metric graph. The corresponding space without the volume normalization is called the unprojectivized Outer space , and there is a projectivization from to by dilation.
Outer space comes equipped with a canonical metric, the Lipschitz distance, which is defined as follows: for two markings and , the distance from to is defined by
where is the (maximal) Lipschitz constant of . We now make a convention that differs from the traditional one. Namely, the outer automorphism group of rank acts on by changing the basis of the marking with the inverses: given and representing a point of , moves to . This is a left action by isometries. We denote action by .
It is known that the Lipschitz distance is asymmetric [FM11] and not uniquely geodesic. However, distances among -thick points (i.e., those with systole at least ) have the coarse symmetry: there exists a constant such that for any -thick points and , one has [AKB12]. In particular, distances among the translates of the reference point by satisfy the coarse symmetry.
Just as Teichmüller space is accompanied by the curve complex and the coarse projection , is accompanied by the complex of free factors and the coarse projection . This projection is coarsely -equivariant and coarsely Lipschitz. Moreover, geodesics in projects to -unparametrized bi-quasigeodesics for some uniform [BF14, Proposition 9.2].
Outer space also accomodates lots of BGIP isometries. We say that an outer automorphism is reducible if there exists a free product decomposition , with and , such that permutes the conjugacy classes of . If not, we say that is irreducible. We also say that is fully ireducible (or iwip) if no power of is reducible, or equivalently, no power of preserves the conjugacy class of any proper free factor of . We also say that is atoroidal (or hyperbolic) if no power of fixes any nontrivial conjugacy class in . When is fully irreducible, it is non-atoroidal if and only if it is geometric, i.e., induced by a pseudo-Anosov on a compact surface with one boundary component, via an identification of with . Bestvina and Feighn proved in [BF14] that is fully irreducible if and only if it acts on loxodromically.
We say that a subgroup is non-elementary if it acts on in a non-elementary way, or equivalently, contains two fully irreducibles with mutually distinct attracting/repelling trees. It is known that if does not fix any finite subset of , or equivalently, if it is not virtually cyclic nor virtually fixes the conjugacy class of a proper free factor of , then is non-elementary [Hor16b]. Since is coarsely Lipschitz, the independence of two fully irreducibles in is lifted to the independence in .
We refer the readers to [BH92], [AK10], [BF14] and [AKKP19] for the precise definition of a train-track representative of an outer automorphism. Roughly speaking, a train-track representative of is a self-map in the free homotopy class of on a simplicial graph that sends vertices to vertices, restricts to an immersion on each edge of , and sends edges to immersed segments after iterations. It is due to Bestvina and Handel [BH92] that every irreducible outer automorphism admits a train-track representative, although it may not be unique.
Given such a structure, one can endow with a metric such that stretches each edge of by the same constant , which is called the expansion factor of . This expansion factor is uniquely determined by the choice of and does not depend on the choice of . Moreover, in view of Skora’s interpretation of Stallings fold decompositions, one obtains a continuous path on from to by folding a single illegal turn at each time (cf. [AKKP19]). This descends to a geodesic segment of length (after a reparametrization) and the concatenation of its translates by powers of becomes a bi-infinite, -periodic geodesic. We call this a (optimal) folding axis of . Algom-Kfir observed the following:
Theorem 4.1 ([AK11]).
Folding axes of fully irreducible outer automorphisms are strongly contracting.
Meanwhile, we need BGIP instead of the strongly contracting property in our setting, and the author does not know a way to promote the latter to the former. Meanwhile, I. Kapovich, Maher, Pfaff and Taylor observed the following version of BGIP in Outer space. This requires the notion of greedy folding path, whose accurate definition can be found in [FM11], [BF14] and [DH18]. In short, a greedy folding path is obtained by folding every illegal turns at each time with speed 1, where the illegal turn structures at different forward times are identical and define a well-defined illegal turn structure. This descends to a geodesic on , and we have the following theorem:
Theorem 4.2 ([KMPT22, Theorem 7.8]).
Let be a fully irreducible outer automorphism. Suppose that is a bi-infinite, -periodic greedy folding path. Then there exist such that the following holds.
Let be points such that , and satisfy , for some . Then any geodesic between them contains a subsegment such that
This uni-directional version of BGIP is designed for outer automorphisms that have an invariant(=periodic) greedy folding line. It seems not shown that all fully irreducibles have such a line. (The author thanks Sam Taylor for pointing this out.) Nonetheless, by adapting Dowdall-Taylor’s idea and Kapovich-Maher-Pfaff-Taylor’s proof of Theorem 4.2, we can obtain the following result. This proof was kindly informed by Sam Taylor.
See 1.3
Proof.
Before we begin, we recall the following facts regarding a geodesic -hyperbolic space .
-
(1)
(Morse property) A -quasigeodesic and a geodesic with the same endpoints are within Hausdorff distance .
-
(2)
The closest point projections of a point onto a -quasigeodesic and a geodesic on with the same endpoints are within distance .
-
(3)
If the projections of onto a -quasigeodesic contain and , respectively, and if , then and are within Hausdoff distance .
-
(4)
If two -quasigeodesics , are within Hausdorff distant and the distance between starting points is at most , then crosses up to a constant , i.e., and are -fellow traveling for some non-decreasing reparametrization .
Let be an arbitrary basepoint. Let , be the attracting and repelling trees of , respectively. There exist optimal greedy folding lines such that
(4.1) |
([BR15], Lemma 6.7 and Lemma 7.3). Since is a quasigeodesic whose endpoints agree with , Theorem 4.1 of [DT18] asserts that and is a -quasigeodesic for some . Similarly, by comparing and , we deduce that and is a -quasigeodesic. Also, are uniformly thick.
Recall our notation: denotes the nearest point projection onto . For now, we denote by the nearest point projection of onto with respect to . Similarly, we denote by the -nearest point projection onto .
Let us now take and for each . We recall the following result of Dahmani and Horbez ([DH18, Proposition 5.17, Corollary 5.22]; see also Section 7 of [KMPT22]): there exist such that are -contracting at ’s (with a suitable crossing constant ). In other words, a geodesic on has the projection that -crosses up the -long subsegment of that begins from , then has a point such that . Since are thick, is (uniformly) proportional to and intersects a uniform -neighborhood of in such a case.
We now observe that and are coarsely equivalent. First, [DT18, Lemma 4.11] asserts that and are equivalent, where stands for the Bestvina-Feighn left projection. Then [DT18, Lemma 4.2] asserts that and are equivalent. These are then equivalent to , since and are equivalent quasi-geodesics on the Gromov hyperbolic space .
We now lift these projections: we claim that , and are equivalent. First, suppose that and are far from each other for some . Since , , are close to each other, we may take and near and , respectively, and conclude that is large. This implies that and are also far from each other (since is loxodromic on ), and consequently , are far from each other. () Since and are equivalent, this cannot happen. For this reason, and are equivalent.
Now suppose that and are far from each other for some . We take and near and conclude that is large. If , then is a quasigeodesic whose endpoints project onto near and , respectively. Since is large enough, this quasigeodesic crosses up long enough subsegments of and that begin at and , respectively. Using the -contraction at of , we conclude that contains a point nearby , which makes shorter than and leads to a contradiction. Similar contradiction occurs when , due to the contracting property of at ’s. Hence, and are equivalent.
Now, if a geodesic on has a large nearest point projection on , then it also has large projections on . This leads to large , because restricted on is a QI-embedding (again due to [DT18, Theorem 4.1]). When progresses in the forward direction with respect to , then we employ the contracting property of to conclude that is uniformly bounded. If it progresses in the backward direction, then we employ the contracting property of to conclude. ∎
We now explain more details on the classification of fully irreducible outer automorphisms. Coulbois and Hilion classified fully irreducibles into the following mutually distinct categories in [CH12]:
-
(1)
geometric automorphisms that have geometric attracting and repelling trees,
-
(2)
parageometric automorphisms that have geometric attracting tree and non-geometric attracting tree,
-
(3)
inverses of parageometric automorphisms that have geometric repelling tree and non-geometric attracting tree, and
-
(4)
pseudo-Levitt automorphisms that have non-geometric attracting and repelling trees.
Sometimes, automorphisms of category (3) and (4) are together called ageometric automorphisms.
In Theorem A we are concerned with fully irreducibles whose expansion factors differ from that of their inverses. Examples of such automorphisms are given in [HM07b]: every parageometric fully irreducible automorphism has expansion factor larger than the expansion factor of its inverse. Meanwhile, every geometric fully irreducible automorphism and its inverse have the same expansion factor, due to an analogous fact for pseudo-Anosov mapping classes. For pseudo-Levitt automorphisms, both situations can happen ([HM07b], [CH12]).
As mentioned before, fully irreducibles in are always geometric. In contrast, [JL08] provides an example of parageometric automorphism for each . Hence, given an admissible probability measure on for , there exists such that contains a parageometric automorphism , while there exists such that contains identity. Then contains and , where
For this reason, every admissible probability measure on is asymptotically asymmetric.
When , if a non-elementary random walk on has bounded support that generates a semigroup containing a principal fully irreducible and an inverse of a principal fully irreducible, then the probability that is pseudo-Levitt tends to 1 as [KMPT22, Theorem A]. Hence, the above property of parageometric automorphisms does not imply that a generic automorphism and its inverse have different expansion factors.
5. Limit laws for Outer space
By applying the limit laws in Section 3 to the outer automorphism group (with Theorem 1.3 in hand), we obtain the following results. We first recover the escape to infinity of random walks on due to Horbez [Hor16a], and weaken the moment condition the SLLN for translation length in [DH18, Theorem 1.4].
Theorem 5.1.
Let be the Culler-Vogtmann Outer space of rank with the Lipschitz metric, and let be the random walk generated by a non-elementary probability measure on . Then there exists a strictly positive quantity , called the drift of , such that
Moreover, for each , there exists such that
Next, we recover Horbez’s CLT on [Hor18] and establish its converse:
Theorem 5.2.
Let be the Culler-Vogtmann Outer space of rank with the Lipschitz metric, and let be the random walk generated by a non-elementary probability measure on .
-
(1)
Suppose that has finite second moment. Then the following limit (called the asymptotic variance of ) exists:
and the random variables and converge in law to the Gaussian law with zero mean and variance . Furthermore, we have
-
(2)
Suppose that has infinite second moment. Then neither nor converge in law for any choice of the sequence .
Next, we discuss the geodesic tracking of random walks, which is a generalization of [Kai00, Theorem 7.2], [Tio15, Theorem 5] and [MT18, Theorem 1.3] to Outer space.
Theorem 5.3.
Let be the Culler-Vogtmann Outer space of rank with the Lipschitz metric, and let be the random walk generated by a non-elementary probability measure on .
-
(1)
Suppose that has finite -th moment for some . Then for almost every sample path , there exists a quasigeodesic such that
-
(2)
Suppose that and have finite exponential moment. Then there exists such that for almost every sample path , there exists a quasigeodesic satisfying
We also discuss the large deviation principle for the RVs , by combining the strategy of [BMSS22] and [Gou22].
Theorem 5.4.
Let be the Culler-Vogtmann Outer space of rank with the Lipschitz metric, and let be the random walk generated by a non-elementary probability measure on . Let be the drift of . Then for each , the probability decays exponentially as tends to infinity.
Theorem 5.5.
Let be the Culler-Vogtmann Outer space of rank with the Lipschitz metric, and let be the random walk generated by a non-elementary probability measure on . Then there exists a proper convex function , vanishing only at the drift , such that
holds for every measurable set .
Theorem 5.6.
Let be the Culler-Vogtmann Outer space of rank with the Lipschitz metric, and let be the random walk generated by a non-elementary probability measure on . If has finite -th moment for some , then
Furthermore, if has finite first moment, then there exists such that
The following is an effective version of [TT16, Theorem 1.4] regarding genericity of q.i. embedded subgroups of .
Theorem 5.7.
Let be the Culler-Vogtmann Outer space of rank with the Lipschitz metric and let be independent random walks generated by a non-elementary measure on . Then there exists such that
Theorem 5.8.
Let be the Culler-Vogtmann Outer space of rank with the Lipschitz metric. Then for each , there exists a finite generating set of such that
converges to 1 exponentially fast.
Since any fully irreducible has BGIP, we can apply Lemma 2.8 to have the following version of Proposition 3.27:
Proposition 5.9.
Let be the Culler-Vogtmann Outer space of rank with the Lipschitz metric and let be the random walk generated by a non-elementary probability measure on . Then for each fully irreducible generated by the support of , there exists such that the following holds.
For each positive integer , there exists such that the following holds outside a set of exponentially decaying probability: for a random path , there exist and there exist disjoint subsegments of , from closest to farthest from , such that and are -fellow traveling for .
In [KMPT22], the author observed the following stability of triangular fully irreducible automorphisms. For the definition of principal and triangular fully irreducibles, refer to [KMPT22, Section 5.3]; for us, it it sufficient to know that principal and triangular fully irreducibles are ageometric.
Lemma 5.10 ([KMPT22, Corollary 5.14]).
Let . Let be a fully irreducible outer automorphism in with the lone axis on (this is satisfied when is a principal fully irreducible). Then for each there exists such that, if is a fully irreducible automorphism with an axis such that some -long subsegments of and are -fellow traveling, then is a triangular fully irreducible.
By combining Lemma 5.10 with Proposition 5.9, we recover version of Kapovich-Maher-Pfaff-Taylor’s result with weaker moment condition.
Theorem 5.11 (cf. [KMPT22, Theorem A]).
Let and let be a non-elementary probability measure on such that the subsemigroup generated by the support of contains the inverse of a principal fully irreducible automorphism. Then outside a set of exponentially decaying probability, is an ageometric triangular fully irreducible outer automorphism.
Finally, Theorem A reads as follows:
Theorem 5.12.
Let be the Culler-Vogtmann Outer space of rank with the Lipschitz metric and let be the random walk generated by a non-elementary, asympotically asymmetric probability measure on (for example, is an admissible probability measure). Then for any , we have
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