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2108.03589

DYNAMICAL LOCALIZATION FOR POLYNOMIAL LONG-RANGE HOPPING RANDOM OPERATORS ON Zd

Wenwen Jian, Yingte Sun

correctmedium confidence
Category
Not specified
Journal tier
Specialist/Solid
Processed
Sep 28, 2025, 12:56 AM

Audit review

The paper establishes a power-law (strong) dynamical localization statement for the long-range Anderson model with polynomial hopping at large disorder via a multiscale analysis anchored in Shi’s power-law localization and a SULE-type polynomial bound on eigenfunctions, then a counting argument for localization centers to deduce uniform-in-time polynomial moment bounds (Theorem 1.2) . The candidate solution obtains the same end result under essentially the same hypotheses, but by a different route: a fractional-moment method (FMM) adapted to polynomial hopping (rs>d), producing polynomially decaying fractional moments of Green functions, eigenfunction-correlator bounds, and, finally, polynomial moment bounds for the dynamics. The model’s Step 5 needs a minor correction (use Cauchy–Schwarz with Q^2≤Q to bound expectations), but the approach is sound. Thus both are correct, with substantially different proofs.

Referee report (LaTeX)

\textbf{Recommendation:} minor revisions

\textbf{Journal Tier:} specialist/solid

\textbf{Justification:}

The paper delivers a clear and technically correct extension of dynamical localization to long-range polynomial hopping, leveraging recent multiscale results to produce a SULE-type polynomial bound and, from it, a uniform-in-time moment bound. The contribution is specialized but solid and useful for understanding dynamics in fractional/long-range Anderson-type models. Minor editorial clarifications would improve readability.