On the graph of the dimension function of the Lagrange and Markov spectra
Pith reviewed 2026-05-24 09:55 UTC · model grok-4.3
The pith
The dimension function d(t) of the Lagrange and Markov spectra has twelve nontrivial plateaux, and the largest ten have lengths over 0.005.
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
Core claim
Using the dimension drop property for dynamically defined Cantor sets, twelve nontrivial plateaux of d(t) are determined. Numerical approximations of the graph between these plateaux are produced, and as a corollary the largest ten non-trivial plateaux of d(t) are shown to be precisely those with lengths greater than 0.005.
What carries the argument
The property that the Hausdorff dimension of dynamically defined Cantor sets decreases after erasing an element of its Markov partition, applied to locate constant intervals in d(t).
If this is right
- The twelve plateaux are located using the dimension drop property.
- Numerical methods approximate the graph of d(t) between the plateaux.
- The largest ten non-trivial plateaux are those with lengths > 0.005.
Where Pith is reading between the lines
- The approach may help identify plateaux in related dimension functions for other Diophantine spectra.
- Smaller plateaux below the 0.005 threshold remain to be classified by similar or refined methods.
Load-bearing premise
The Hausdorff dimension drop after erasing a Markov partition element applies directly to the Cantor sets defining the Lagrange and Markov spectra to determine the plateaux.
What would settle it
A precise computation revealing that d(t) is not constant on one of the twelve intervals or that there exists a plateau longer than 0.005 outside the identified ones.
read the original abstract
We study the graph of the function $d(t)$ encoding the Hausdorff dimensions of the classical Lagrange and Markov spectra with half-infinite lines of the form $(-\infty, t)$. For this sake, we use the fact that the Hausdorff dimension of dynamically Cantor sets drop after erasing an element of its Markov partition to determine twelve nontrivial plateaux of $d(t)$. Next, we employ rigorous numerical methods (from our recent joint paper with Pollicott) to produce approximations of the graph of $d(t)$ between these twelve plateaux. As a corollary, we prove that the largest ten non-trivial plateaux of $d(t)$ are exactly those plateaux with lengths $> 0.005$.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The manuscript studies the graph of the function d(t) giving the Hausdorff dimension of the portions of the classical Lagrange and Markov spectra lying in (–∞, t]. It applies the known dimension-drop property for dynamically defined Cantor sets after removal of a Markov partition element to identify twelve nontrivial plateaux of d(t). Rigorous numerical approximations (drawn from the authors’ prior joint work with Pollicott) are then used to describe the behavior of d(t) in the complementary intervals. The central corollary asserts that the ten largest nontrivial plateaux are precisely those whose lengths exceed 0.005.
Significance. If the numerical error bounds are shown to be sufficient, the result supplies a concrete and falsifiable description of the largest plateaux of d(t), combining a dynamical-systems argument with cited computational techniques. The explicit use of an established dimension-drop fact and the reference to prior rigorous numerics constitute a methodological strength.
major comments (2)
- [statement of the corollary and the paragraph describing the numerical approximations] The corollary that the largest ten nontrivial plateaux are exactly those of length >0.005 rests on two load-bearing parts: the dynamical identification of twelve plateaux and the numerical verification that no additional plateaux longer than 0.005 exist in the complementary intervals. The manuscript must explicitly record the error bounds, modulus of continuity, or plateau-detection threshold furnished by the cited Pollicott joint paper that rigorously exclude undetected flat segments of length >0.005; without this, the “exactly” claim is not fully supported by the dynamical argument alone.
- [section identifying the twelve plateaux] The application of the dimension-drop property after erasing a Markov partition element is invoked to locate the twelve plateaux, but the text should clarify which specific partition elements are removed and in which intervals of the spectra this produces the observed plateaux (including any dependence on the continued-fraction expansion or the Gauss map).
minor comments (1)
- [introduction] Notation for the spectra and for d(t) should be introduced once with a single consistent definition rather than reappearing in slightly varying forms.
Simulated Author's Rebuttal
We thank the referee for the careful reading and constructive comments. We address each major comment below.
read point-by-point responses
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Referee: The corollary that the largest ten nontrivial plateaux are exactly those of length >0.005 rests on two load-bearing parts: the dynamical identification of twelve plateaux and the numerical verification that no additional plateaux longer than 0.005 exist in the complementary intervals. The manuscript must explicitly record the error bounds, modulus of continuity, or plateau-detection threshold furnished by the cited Pollicott joint paper that rigorously exclude undetected flat segments of length >0.005; without this, the “exactly” claim is not fully supported by the dynamical argument alone.
Authors: We agree that explicit reference to the error bounds is needed to fully support the claim. The joint work with Pollicott supplies rigorous error bounds together with a modulus of continuity and a plateau-detection threshold. In the revision we will quote the precise numerical thresholds and error estimates from that paper, confirming that they exclude any undetected flat segments longer than 0.005 in the complementary intervals. revision: yes
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Referee: The application of the dimension-drop property after erasing a Markov partition element is invoked to locate the twelve plateaux, but the text should clarify which specific partition elements are removed and in which intervals of the spectra this produces the observed plateaux (including any dependence on the continued-fraction expansion or the Gauss map).
Authors: We will expand the relevant section to name the precise Markov partition elements removed for each plateau, specify the resulting intervals inside the Lagrange and Markov spectra, and indicate the dependence on the continued-fraction expansion and the Gauss map that produces the dimension drop in each case. revision: yes
Circularity Check
Minor self-citation to numerical methods paper supports corollary but is not load-bearing for main dimension-drop derivation of plateaux.
full rationale
The paper's core derivation identifies twelve plateaux via the known fact that Hausdorff dimension drops after erasing a Markov partition element from dynamically defined Cantor sets; this is invoked as an established dynamical fact without reduction to self-citation or fitting. The rigorous numerical approximations (cited from the joint paper with Pollicott) are used only to bound the graph between these plateaux and support the corollary on the largest ten. This constitutes one minor self-citation that does not make the central claim equivalent to its inputs by construction. No self-definitional, fitted-input-as-prediction, or uniqueness-imported patterns appear in the derivation chain. The result is therefore self-contained against external benchmarks with only incidental self-reference.
Axiom & Free-Parameter Ledger
axioms (1)
- domain assumption Hausdorff dimension of dynamically defined Cantor sets drops after erasing an element of its Markov partition
Lean theorems connected to this paper
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IndisputableMonolith/Cost/FunctionalEquation.leanwashburn_uniqueness_aczel unclear?
unclearRelation between the paper passage and the cited Recognition theorem.
Gauss-Cantor sets Ki defined by forbidden subsequences FW_i on {1,2} continued fractions; d(t)=min{1,2·D(t)}
What do these tags mean?
- matches
- The paper's claim is directly supported by a theorem in the formal canon.
- supports
- The theorem supports part of the paper's argument, but the paper may add assumptions or extra steps.
- extends
- The paper goes beyond the formal theorem; the theorem is a base layer rather than the whole result.
- uses
- The paper appears to rely on the theorem as machinery.
- contradicts
- The paper's claim conflicts with a theorem or certificate in the canon.
- unclear
- Pith found a possible connection, but the passage is too broad, indirect, or ambiguous to say the theorem truly supports the claim.
Reference graph
Works this paper leans on
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Bumby, Hausdorff dimensions of Cantor sets, J
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Cusick, The largest gaps in the lower Markoff spectrum, Duke Math
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[3]
T. Cusick and M. Flahive, The Markoff and Lagrange spectra , Mathematical Surveys and Monographs, 30. American Mathematical Society, Providence, RI, 1989. x+97 pp
work page 1989
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G. Freiman, Diofantovy priblizheniya i geometriya chisel (zadacha Markova) [Diophantine approximation and geometry of numbers (the Markov problem)], Kalininskii Gosudarstvennyi Universitet, Kalinin, 1975
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Hall, On the sum and product of continued fractions, Ann
M. Hall, On the sum and product of continued fractions, Ann. of Math. (2) 48 (1947), 966–993
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D. Lima and C. G. Moreira, Phase transitions on the Markov and Lagrange dynamical spectra , Ann. Inst. H. Poincaré C Anal. Non Linéaire 38 (2021), 1429–1459
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Markoff, Sur les formes quadratiques binaires indéfinies, Math
A. Markoff, Sur les formes quadratiques binaires indéfinies, Math. Ann. 15 (1879) pp. 381–406
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Markoff, Sur les formes quadratiques binaires indéfinies II, Math
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[10]
C. Matheus, C. G. Moreira, M. Pollicott and P. Vytnova, Hausdorff dimension of Gauss–Cantor sets and two applications to classical Lagrange and Markov spectra, Adv. Math. 409 (2022), part B, Paper No. 108693, 70 pp
work page 2022
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[11]
C. G. Moreira, Geometric properties of the Markov and Lagrange spectra, Ann. of Math. 188 (2018), 145–170
work page 2018
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[12]
J. Palis and F. Takens, Hyperbolicity and sensitive chaotic dynamics at homoclinic bifurcations, Fractal dimensions and infinitely many attractors. Cambridge Studies in Advanced Mathematics, 35. Cambridge University Press, Cambridge, 1993. x+234 pp
work page 1993
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Perron, Über die approximation irrationaler Zahlen durch rationale II, S.-B
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work page 1921
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[14]
M. Pollicott and P. Vytnova, Hausdorff dimension estimates applied to Lagrange and Markov spectra, Zaremba theory, and limit sets of Fuchsian groups, preprint (2020) available at arXiv:2012.07083. To appear in Transactions of AMS. C. M ATHEUS , CNRS & É COLE POLYTECHNIQUE , CNRS (UMR 7640), 91128, P ALAISEAU , F RANCE . Email address: matheus.cmss@gmail.c...
discussion (0)
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