[论文解读] Badly approximable points on non-linear carpets
该论文证明在一类非线性非保守的地毯上,当满足坐标 OSC 条件时,糟糕可近似点具有全 Hausdorff 维数,并给出这些吸引子的一组 Hausdorff 维数公式。它还表明在合适的非线性地毯上,与 Bad_2 的交集达到全维数。
The badly approximable points in $\mathbb{R}^d$ are those for which Dirichlet's approximation theorem cannot be improved by more than a constant, that is, they are the points most difficult to approximate by rational vectors. An important problem in Diophantine approximation is to determine when the set of badly approximable points intersects a given set in full dimension. We find the first class of non-linear non-conformal attractors for which this full intersection property holds, thus answering a question of Das-Fishman-Simmons-Urbański from 2019. We also provide a formula for the Hausdorff dimension of these attractors which is of independent interest.
研究动机与目标
- Motivate and quantify how badly approximable points interact with non-linear, non-conformal fractal attractors.
- Extend Schmidt-game and lower-dimension methods to non-linear, non-conformal settings.
- Provide a Hausdorff-dimension formula for the non-linear carpets studied.
- Establish conditions under which Bad_2 intersects these carpets in full dimension.
- Relate the results to parabolic Cantor sets where applicable.
提出的方法
- Define non-linear carpets as attractors of a planar IFS formed from coordinate self-conformal IFSs with a coordinate OSC.
- Use a symbolic Barański-carpet framework to approximate the non-linear carpets from inside.
- Prove a variational principle: dim_H(X) equals the supremum of dim_H(μ) over ergodic measures μ.
- Show dim_H(X) = dim_ML(X) = sup{dim_L(X′): X′ ⊂ X} under coordinate OSC.
- Utilize a Bernoulli-measure optimization on symbol spaces to derive dimensions, plus a bounded distortion lemma to control distortions.
- Apply a Schmidt-game–lower-dimension approach to obtain intersection results with Bad_d, particularly Bad_2.
实验结果
研究问题
- RQ1Can Schmidt’s game methods yield full dimension of Bad_2 intersecting a non-linear non-conformal carpet?
- RQ2What is the exact formula for the Hausdorff dimension of these non-linear carpets under coordinate OSC?
- RQ3Does the modified lower dimension equal the Hausdorff dimension for these carpets, and under what conditions?
- RQ4Under which structural conditions (columns/rows, hyperplane diffusivity) does X ∩ Bad_2 achieve dim_H(X)?
- RQ5How do parabolic Cantor sets behave under similar methods?
主要发现
- Dim_H(X) equals the supremum of dim_H(μ) over ergodic measures μ for non-linear carpets with coordinate OSC.
- Dim_H(X) equals dim_ML(X) and equals the supremum of dim_L(X′) over X′ ⊂ X for these carpets.
- If X satisfies coordinate OSC and has at least two maps in some column and some row, then dim_H(X ∩ Bad_2) = dim_H(X).
- The framework connects non-linear carpets to symbolic Barański carpets allowing dimension calculations via Bernoulli measures.
- The results provide a variational principle and constructive approach for numerics via subsystem approximations.
- The approach also yields insights for parabolic Cantor sets within this methodology.
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