Abstract

Let w=(w1,w2)w=(w_1,w_2) satisfy w1>w2>0w_1>w_2>0 and w1+w2=1w_1+w_2=1. For every function f:[0,)(0,)f:[0,\infty)\to(0,\infty) with f(t)0f(t)\to0, we prove that the set of ww-singular vectors whose weighted shortest-vector function satisfies Wx(t)logf(t)W_x(t)\ge\log f(t) for all sufficiently large tt has Hausdorff dimension sw=2(1+w1)1s_w=2-(1+w_1)^{-1}, equal to the full Hausdorff dimension of Singw(2)\operatorname{Sing}_w(2). For every 0<ν<10<ν<1 and μ>0μ>0, a separate power schedule gives Hausdorff dimension sws_w for the weighted uniform approximation set with rate Q1exp(μ(logQ)ν)Q^{-1}\exp\bigl(-μ(\log Q)^ν\bigr), whereas the lower-envelope theorem gives the same dimension for its complement in Singw(2)\operatorname{Sing}_w(2). We give a direct proof of the lower-envelope theorem by adapting the self-affine construction of Liao--Shi--Solan--Tamam to a variable sequence of return times and using an empty-denominator-window argument to control intermediate cusp excursions without further pruning the tree.

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Generated August 15, 2026
01Statements3 reported findingsCorrect

The arbitrary lower-envelope theorem for weighted singular vectors, both dimension assertions for the prescribed subpower uniform-approximation rate, and the full-lattice consequence have the stated scopes and follow from the proved construction and the cited ambient-space dimension bounds.

Theorem 1.1Correct

Arbitrarily slow weighted divergence

Page 2 · Theorem 1.1; proof on pages 23–24 · arXiv:2607.24161v1

For an arbitrary positive ff with f(t)0f(t)\to0, Lemma 2.2 replaces it by a divergent nondecreasing 11-Lipschitz target ψ\psi satisfying eψ(t)f(t)e^{-\psi(t)}\geq f(t). The variable-step tree uses Hn=ψ(tn)H_n=\psi(t_n), dn+1=Hn1/2d_{n+1}=H_n^{1/2}, and εn=eHn1/4\varepsilon_n=e^{-H_n^{1/4}}. Proposition 4.2 verifies all counting, nesting, separation, shrinking, and singularity hypotheses and makes the denominator interval in Lemma 4.1 empty. Hence every nonexceptional branch limit satisfies Wx(t)ψ(t)W_x(t)\geq-\psi(t) eventually. Proposition 3.13 gives dimension sw=2(1+w1)1s_w=2-(1+w_1)^{-1}, while the known dimension of Singw(2)\operatorname{Sing}_w(2) gives the matching upper bound.

Liao–Shi–Solan–Tamam, weighted singular-vector dimension
Theorem 1.2Correct

Subpower uniform-approximation rate and its complement

Page 3 · Theorem 1.2; proof on pages 24–27 · arXiv:2607.24161v1

For 0<ν<10<\nu<1 and μ>0\mu>0, the power schedule dn+1=tn(1+ν)/2d_{n+1}=t_n^{(1+\nu)/2} and εn=eχtnν\varepsilon_n=e^{-\chi t_n^\nu}, with χ>w1μ\chi>w_1\mu, retains the full branching dimension. The vertical return at level nn supplies an approximant with qnetnq_n\leq e^{t_n} and weighted error at most εn1/w1etn+1\varepsilon_n^{1/w_1}e^{-t_{n+1}}. Uniformly for etnQ<etn+1e^{t_n}\leq Q<e^{t_{n+1}}, this is at most Q1eμ(logQ)νQ^{-1}e^{-\mu(\log Q)^\nu} for all large nn. Conversely, Corollary 6.1 applies Theorem 1.1 to a target h(t(Q))=2QΦ(Q)h(t(Q))=2\sqrt{Q\Phi(Q)}, where t(Q)=12log(Q/Φ(Q))t(Q)=\frac12\log(Q/\Phi(Q)), and obtains a full-dimensional subset with Δx(Q)2Φ(Q)\Delta_x(Q)\geq2\Phi(Q) eventually. Both sets lie in Singw(2)\operatorname{Sing}_w(2), so the upper dimensions are also sws_w.

Kleinbock–Moshchevitin–Warren–Weiss, weighted uniform-approximation framework
Corollary 1.3Correct

Full-lattice lower-envelope dimension

Page 3 · Corollary 1.3 and the paragraph following it · arXiv:2607.24161v1

The construction is uniform for the compact family vsZ3v_s\mathbb Z^3 and therefore gives sws_w dimensions on each two-dimensional uxu_x-slice. Slicing in the remaining expanding root direction adds one dimension. The five central or contracting local-product directions remain uniformly bounded after conjugation by ata_t; the elementary comparison of Euclidean and weighted minima explains the paper's use of the stronger seed envelope cf(t)w2c f(t)^{w_2} and transfers the desired envelope ff to those products. This yields the lower bound 8(1+w1)18-(1+w_1)^{-1}. Solan's general-flow estimate gives the same dimension as an upper bound for the ambient divergent set, which contains the set in the corollary.

Solan, general-flow parametric geometry of numbers
02Proofs4 reported findingsCorrect

The proof chains are correct and complete. The balance-time reduction has the required quantifiers, the variable-step modification preserves the cited LSST count and self-affine dimension estimate, the global schedule excludes every possible intermediate bad excursion, and the two uniform-rate arguments use the weighted error functional with the correct inequality directions.

Proposition 2.1 and Lemma 2.2Correct and complete

Balance functions and target regularization

Pages 3–5 · Section 2 · arXiv:2607.24161v1

For a primitive vector with q>0q>0 and Rx(v)>0R_x(v)>0, its contribution is exactly mx(v)+tτx(v)m_x(v)+|t-\tau_x(v)|. Monotonicity and the 11-Lipschitz property give tτ+ψ(t)ψ(τ)|t-\tau|+\psi(t)\geq\psi(\tau), while vectors with bounded balance time have Rx(v)R_x(v) bounded away from zero by lattice discreteness and therefore cannot affect the eventual lower envelope. The infimal 11-Lipschitz regularization is nonnegative, nondecreasing, divergent, and satisfies eψfe^{-\psi}\geq f, with every endpoint and eventual quantifier preserved.

Full paper, version 1
Theorem 3.9 and Proposition 3.13Correct and complete

Variable-step counting and dimension

Pages 7–19 · Sections 3.2–3.5 · arXiv:2607.24161v1

Lemma 3.6 bijects candidate centers with primitive points in the required shell. Lemmas 3.7–3.8 put the three comparison boxes within the cited primitive lattice-point estimate. Lemma 3.5 injects each illegal class into the corresponding LSST exceptional set; after choosing rr, ε\varepsilon_*, and dd_* in that order, their total is a fixed fraction of the εn2e2dn\varepsilon_n^2e^{2d_n} main term. The dual-systole condition supplies sibling separation. In the dimension calculation, logPn=2tno(tn)\log P_n=2t_n-o(t_n), the long/short crossover obeys tDn/tn(1+w1)/(1+w2)t_{D_n}/t_n\to(1+w_1)/(1+w_2), and the separation loss is o(tn)o(t_n), giving every s<sws<s_w in the quoted self-affine criterion.

Liao–Shi–Solan–Tamam, source of the quoted counting and self-affine estimates
Lemma 4.1 and Proposition 4.2Correct and complete

Denominator localization and empty windows

Pages 19–23 · Section 4 · arXiv:2607.24161v1

The parent dual-systole bound gives a uniform lower bound for the Euclidean first minimum at time tnt_n. If a vector balancing in [tn,tn+1][t_n,t_{n+1}] had mx(v)<logαnm_x(v)<\log\alpha_n, this forces 121/w2εn2/w2etnq<αnetn+1.12^{-1/w_2}\varepsilon_n^{2/w_2}e^{t_n}\leq q<\alpha_ne^{t_{n+1}}. With αn=eHn\alpha_n=e^{-H_n}, εn=eHn1/4\varepsilon_n=e^{-H_n^{1/4}}, and tn+1tn=Hn1/2t_{n+1}-t_n=H_n^{1/2}, inequality (4.5) makes the lower endpoint strictly exceed the upper endpoint. The 11-Lipschitz bound on ψ\psi simultaneously verifies all recursive hypotheses and the asymptotics required for divergence and dimension.

Full paper, version 1
Corollary 6.1 and Lemmas 6.2–6.3Correct and complete

Rate avoidance and attainment

Pages 24–27 · Section 6 · arXiv:2607.24161v1

At t(Q)=12log(Q/Φ(Q))t(Q)=\frac12\log(Q/\Phi(Q)), the vertical term for every qQq\leq Q is at most half of h(t(Q))=2QΦ(Q)h(t(Q))=2\sqrt{Q\Phi(Q)}; hence an hh-lower envelope forces Rx(v)et(Q)h(t(Q))=2Φ(Q)R_x(v)\geq e^{-t(Q)}h(t(Q))=2\Phi(Q). For attainment, Lemma 6.2 correctly takes 1/wi1/w_i powers of the coordinate bounds and uses w1>w2w_1>w_2 and 0<εn10<\varepsilon_n\leq1 to obtain the common factor εn1/w1\varepsilon_n^{1/w_1}. The choice (1+ν)/2(1+\nu)/2 lies strictly between ν\nu and 11, so all tree errors are sublinear in the return step and tn+1/tn1t_{n+1}/t_n\to1, exactly as required.

Full paper, version 1
03Novelty0 reported findingsNo non-novelty findings

No non-novelty findings.

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Paper
arXiv:2607.24161v1
Authors listed
Bohan Yang
Audit date
August 15, 2026
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