Small-ball estimates for Hölder centers of the Kloosterman process
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Abstract
We prove uniform-norm small-ball estimates with negative logarithm of order ε⁻² around every admissible 1/2-Hölder center of the Kloosterman limit process, including boundary coefficients and endpoints. Graded Fejér approximation removes logarithmic losses from earlier lower estimates. We also prove an O(log log p/√(log p)) Wasserstein convergence rate for the entire prime Kloosterman path with both nonzero parameters averaged, in the uniform path metric, and deduce uniform shrinking-target counts. For fixed admissible γ-Hölder classes, the worst-case small-ball power is max(2,1/γ). Extensions to bounded symmetric unimodal coefficient laws identify how center roughness and boundary decay of the density jointly determine approximation costs. For a flat-edge family we obtain sharp noncritical power thresholds and fixed-center obstructions at the threshold. At the critical law we establish upper and lower logarithmic bounds. The sharp small-ball exponent is obtained by paying the random tail and the coefficient-boundary margins separately; the arithmetic argument keeps the representation-degree dependence in classical trace estimates and uses growing moments and weighted polynomial approximation. Worst-case statements over rough center classes are distinguished from estimates at a fixed center.
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Research details
- Subjects
- Mathematics · Number Theory and Special Functions
- Keywords
- Kloosterman process, small-ball probabilities, Hölder centers, random Fourier series, Fejér approximation, Wasserstein convergence
- Manuscript date
- 2026-10-19
- Reader reuse
- No additional permission granted
Scope
Uniform Kloosterman-process small-ball bounds for admissible Hölder centers, exact worst-case power orders and boundary-law thresholds, with explicit prime-path Wasserstein convergence and shrinking-target counts under the stated averaging.
Disclosures
ChatGPT Sol 6.1 supported argument development, literature discovery, proof checking and drafting. Scott Schubr is responsible for the mathematical content and attribution. The research was self-funded. The author owns Luminary Oddities and its Research Archive.
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35-page searchable manuscript PDF and matching editable LaTeX sources are provided. README.md supplies build instructions. Finite mathematical verification programs accompany the source package.
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