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math.DS2026

Pointwise Convergence of Random Ergodic Averages at the \(L^1\) Endpoint

Will Burstein, Lorenzo Catani, Ben Krause

In his highly influential paper, \emph{On the maximal ergodic theorem for certain subsets of the integers}, Bourgain introduced the study of pointwise convergence of ergodic averag…

cs.IT2026

Fourier Ratio and Restricted Isometry via Entropic Descent

Will Burstein, W. Burstein, Alex Iosevich +3

In this second paper on descent methods as proof mechanisms in harmonic analysis (the first treated Bourgain's selection theorem), entropic mirror descent gives an improved…

math.CA2026

Bourgain's Lambda(p) selection theorem: a greedy proof with polynomial failure bounds

Will Burstein, Alex Iosevich, Ben Krause

We give a self-contained proof of Bourgain's finite selection theorem with an explicit probability bound. For every and , given pairwise orthogonal function…

math.NT2026

Elliptic curves, Fourier ratio, and sampling complexity

W. Burstein, A. Iosevich, A. Sant

We study the normalized Frobenius trace associated with the Legendre family of elliptic curves over from the point of view of Fourier complexity. If \[ f(t)=\frac{a_p…

math.NT2026

Arithmetic functions and learning theory

W. Burstein, A. Iosevich, A. Sant

We establish a connection between analytic number theory and computational learning theory by showing that the Möbius function belongs to a class of functions that is statistically…

math.CA2026

The Fourier Ratio: A Unifying Measure of Complexity for Recovery, Localization, and Learning

Will Burstein, Alex Iosevich, Hari Sarang Nathan

We introduce a generalized Fourier ratio, the \(\ell^1/\ell^2\) norm ratio of coefficients in an \emph{arbitrary} orthonormal system, as a single, basis-invariant measure of \emph{…