Binary Shifts with a Hole: Dynamics & Dimensions
- Binary shifts with a hole are open symbolic dynamical systems defined by forbidding specific intervals or words from one-sided binary sequences.
- The framework quantifies dynamics using entropy, Hausdorff dimension, and escape rates, employing kneading invariants, finite-state approximations, and root equations.
- Applications span double-base expansions, β-transformations, and Lorenz maps, unifying combinatorial, metric, and geometric properties in open systems.
Binary shifts with a hole are open symbolic dynamical systems on the one-sided full shift in which a prescribed set of itineraries is removed and one studies the sequences whose forward shifts never enter that set. In the lexicographic formulation, which is central to double-base expansions, the hole is the open interval with and , and the survivor subshift is
In related settings, the hole is a cylinder determined by a finite word , or an interval in a one-dimensional expanding map whose itineraries are coded by binary sequences. Across these formulations, the subject connects symbolic dynamics, Hausdorff dimension, thermodynamic formalism, -expansions, open dynamical systems, and escape-rate theory (Lu et al., 4 Sep 2025).
1. Symbolic formulation and hole conventions
The common ambient space is the one-sided binary shift with shift . A “hole” is a subset of 0, and the survivor set is the set of sequences whose forward iterates under 1 never enter that hole. In the lexicographic framework, the hole is typically an open interval in symbol space; in the escape-rate framework, it is a cylinder determined by a finite forbidden prefix; in geometric realizations, it is an interval in phase space whose symbolic itineraries form a lexicographic exclusion region (Lu et al., 4 Sep 2025).
| Setting | Hole | Survivor set |
|---|---|---|
| Lexicographic symbolic model | 2 | 3 |
| Word-defined shift | 4 | 5 and its asymptotics |
| Geometric interval map | 6 or 7 | Symbolically coded survivor subshift |
For the lexicographic model, the open interval is
8
and the associated survivor subshift is
9
This is a closed, shift-invariant set, hence a subshift. When the hole is defined by lexicographic constraints, the resulting survivor set is often a subshift of finite type or a sofic shift determined by forbidding the words associated to the hole.
A distinct but related convention fixes a finite word 0 and defines the hole by the cylinder
1
The survival set after 2 iterates is
3
For the shift, this is equivalent to requiring that the first 4 symbols contain no occurrence of 5 as a contiguous sub-word.
A basic structural point is that “binary shift with a hole” is therefore not a single model but a family of closely related open systems. This suggests that statements about entropy, dimension, or escape rate depend strongly on the type of hole being used.
2. Entropy, Hausdorff dimension, and kneading equations
For lexicographic survivor subshifts, the central invariants admit explicit formulas. Given an admissible kneading pair 6, define the projection map
7
with 8 if 9 and 0 if 1. The kneading invariant is
2
so that 3 (Lu et al., 4 Sep 2025).
The topological entropy of 4 is
5
where 6 is the maximal solution of
7
For unequal contraction factors, the Hausdorff dimension of the projection is
8
where 9 is the maximal solution of
0
The same parameter 1 is characterized as the unique zero of the subadditive pressure-like relation
2
where 3 is the set of 4-letter words appearing in 5.
When 6 is of finite type or sofic, one may build a finite labeled graph or automaton whose language coincides with 7. If 8 is the adjacency matrix of this graph, then
9
where 0 is the spectral radius of 1. This gives a finite-state realization of the same entropy that appears through the kneading equation.
Two continuity statements are especially important. First, the dimension function
2
is continuous in 3. Second, the map
4
is continuous for 5. In the equal-base case 6, the dimension formula reduces to
7
which is the uniform-slope specialization of the general theory.
3. Double-base expansions and the univoque set
A principal source of binary shifts with a hole is the theory of double-base expansions. For 8, the projection
9
maps 0 to the attractor
1
which is the attractor of the iterated function system 2. The univoque set is
3
the set of points having a unique 4-expansion (Lu et al., 4 Sep 2025).
For 5 with 6, the unique-expansion set is characterized symbolically by two extremal kneading sequences:
- 7, the quasi-greedy expansion of 8, starting with 9;
- 0, the quasi-lazy expansion of 1, starting with 2.
Up to a countable set of endpoints,
3
and the difference between 4 and 5 is countable. Consequently,
6
The general dimension theorem yields several threshold regimes. The paper introduces generalized thresholds 7 and 8 and states:
- 9 is trivial for 0;
- 1 for 2;
- 3 for 4.
More precisely:
- If 5, then 6.
- If 7, then 8 is the maximal root of
9
and 0.
- If 1, then 2.
- If 3, then 4 solves
5
and 6.
An explicit worked example is also given. Let 7 be the real root of 8, and let 9. Then
00
the extremal elements are 01 and 02, the entropy satisfies
03
and the Hausdorff dimension is the number 04 solving
05
giving 06.
4. Doubling maps, linear Lorenz maps, and greedy systems with a hole
The lexicographic survivor subshift 07 has direct realizations in one-dimensional dynamics. For the doubling map
08
with a hole 09, binary coding identifies the geometric survivor set with 10, where 11 and 12 are determined by the binary expansions of 13 and 14. Its entropy is
15
and because the doubling map has uniform slope 16,
17
For the central hole 18, the endpoints have binary expansions 19 and 20, the survivor subshift is 21, and
22
Linear Lorenz maps fit the same framework. Their left and right branches have constant slopes 23, the discontinuity itineraries define kneading sequences 24, and the symbolic hole is again 25. The resulting entropy and Hausdorff dimension are
26
and
27
A further realization comes from intermediate 28-transformations. For 29, the piecewise linear map
30
has upper and lower symbolic codings 31 and associated subshifts 32. The central conjugacy result states that for every 33, there exist 34 and 35 such that
36
where
37
is the survivor set for a hole at zero (Langeveld et al., 2022).
The correspondence is not one-to-one. The paper constructs a value of 38 with minimal polynomial 39 and a sequence 40 showing that some greedy-with-hole systems do not arise from an intermediate system. This is a precise obstruction, not merely a technical artifact.
For the binary map, the hole-at-zero formalism becomes particularly concrete. If 41, then the kneading word is
42
and the condition 43 for all 44 is equivalent to forbidding the word 45. The survivor subshift is therefore the SFT with adjacency matrix
46
so
47
5. 48-transformations with interval holes and devil’s staircase structure
For 49, the map
50
generates a binary symbolic coding constrained by Parry’s quasi-greedy expansion 51. The associated 52-shift is
53
Given an interval hole 54, the survivor set is
55
and symbolically it is the set of sequences in 56 whose every shift avoids the lexicographic interval between the greedy expansions of 57 and 58 (Clark, 2014).
The paper studies three parameter sets: 59
60
61
where 62 is the set of bad periods, meaning those 63 for which every 64-cycle intersects the hole. The inclusions
65
hold.
A central organizing mechanism is the combinatorics of balanced words, Sturmian limits, and maximal extremal pairs. Rational slopes 66 determine cyclically balanced words 67, and from these one forms pairs 68 by taking the lexicographically largest cyclic permutation starting with 69 and the lexicographically smallest cyclic permutation starting with 70. The function 71, which selects the maximal admissible balanced word, is a devil’s staircase: it is continuous, non-decreasing, and has derivative zero almost everywhere.
Inside the nontrivial region
72
the boundaries of 73, 74, and 75 are described by maximal extremal pairs and their Farey descendants. For maximal pairs, the survivor set at the boundary hole is essentially a single periodic orbit and its allowable preimages; for descendant pairs it is countable; after shrinking the hole away from the boundary by 76, one obtains uncountable survivor sets and, under the coprime-length condition 77, only finitely many bad periods.
The paper also identifies an “unbalanced” region
78
when 79. In this regime, balanced words alone do not produce all maximal extremal pairs. Additional pairs are built from a Farey-like tree with roots 80 and a suitable minimal cyclic permutation 81. This extends the doubling-map picture to general 82 and introduces a genuine admissibility phenomenon coming from the Parry constraint 83.
6. Escape rates, maximal holes, and ordering phenomena
When the hole is a cylinder 84 specified by a finite word 85, the relevant invariant is the escape rate. For Bernoulli measure 86, let
87
The escape rates are
88
and the paper focuses on 89. The weighted autocorrelation polynomial 90 and the polynomial
91
determine the escape rate by
92
where 93 is the smallest positive root of 94 (Bonanno et al., 2021).
For a prime hole, meaning a word whose autocorrelation vector is 95, the formula simplifies to
96
For an all-one-symbol hole 97,
98
The maximization problem is especially explicit in the binary Bernoulli case. Let 99 be the larger symbol probability and 00 the smaller, and fix a length 01. There are two distinguished candidates:
- 02: prime holes of length 03 with maximal prime measure, such as 04, of measure 05;
- 06: holes of maximal measure, namely 07, of measure 08.
The maximal escape rate over all holes of length 09 is achieved either by a prime hole in 10 or by a maximal-measure hole in 11. In the binary case,
12
Moreover, on the subinterval 13,
14
Two comparison principles follow. First, if two holes have the same length and the same measure, then a prime hole has larger escape rate than a non-prime hole. Second, for prime holes of the same length, larger measure implies larger escape rate. These statements give a clean classification of maximizers, but they do not support a universal ordering principle.
Indeed, a major negative result is that, for non-equiprobable symbols, ordering holes by escape rate corresponds to neither the order by their measure nor by the length of the shortest periodic orbit they contain. The paper exhibits explicit counterexamples. This sharply distinguishes the non-equiprobable case from the equiprobable case, where classical periodic-orbit ordering phenomena do hold.
The Markov-measure case is more intricate. The escape polynomial acquires additional factors involving
15
and the sign of 16 affects comparisons. For 17, prime holes remain preferable in the same-measure comparison; for 18, non-prime holes can dominate in certain regions. A plausible implication is that “binary shifts with a hole” support several distinct extremal theories, depending not only on the hole but also on the background invariant measure.
7. Structural themes and scope
Several themes recur across the literature. One is the equivalence between symbolic survivor sets and geometric survivor sets: the same lexicographic exclusion mechanism appears in univoque expansions, the doubling map with a hole, linear Lorenz maps, greedy and intermediate 19-transformations, and the 20-transformation with a general interval hole (Lu et al., 4 Sep 2025).
A second theme is the coexistence of exact formulas and highly singular parameter dependence. Continuity of entropy and Hausdorff dimension coexists with devil’s staircase behavior in parameter selections such as 21 and the dimension function 22, which is decreasing and constant Lebesgue almost everywhere. The bifurcation set
23
is Lebesgue null but has full Hausdorff dimension 24 (Langeveld et al., 2022).
A third theme is the role of finite-type and sofic approximations. When kneading invariants are periodic or eventually periodic, finite automata and adjacency matrices give explicit computations of entropy and dimension. For non-finite-type systems, the same quantities are recovered through root equations, pressure, and limiting approximations.
Taken together, these results position binary shifts with a hole as a unifying framework for open symbolic dynamics. The framework is simultaneously combinatorial, metric, and geometric: holes are specified by forbidden words or forbidden lexicographic intervals; survivor sets are subshifts, attractors, or repellers; and the principal invariants are entropy, Hausdorff dimension, and escape rate. The resulting theory extends from the full two-shift to constrained 25-shifts, from uniform to non-uniform contractions, and from deterministic symbolic exclusions to measure-dependent leakage.