activity
20212026
most citedPoisson approximation for large permutation groups

3 citations · 3 across the 8 of their papers we have counts for

collaborators

8 papers

math.CO2026

On efficient graph covers and steered random walks

Nathan Tung, Richard Ueltzen

We prove that the vertices of any -vertex graph can be partitioned into pieces of radius such that the sum of the sizes of their closed neighborhoods is at most…

math.CO2026

Linear equations and chromatic thresholds in sets

Nathan Tung

We derive sparse analogs of several Roth-type results, showing that they hold in sets of near-maximum size. It is shown that if a set is free of pairwise distinct solut…

math.NT2026

Randomly piercing algebraic sets

Daniel Altman, Nathan Tung

We show, for example, that if one samples \[\frac{\log p}{2\log(1+(p-1)^{-1})} \cdot n^2(1 + o_{n\to \infty}(1))\] points in at random then asymptotically almost s…

math.CO2026

Coloring sparse random Cayley graphs

Nathan Tung

It is shown that there exists so that the Cayley graph over any finite abelian group generated by random elements is properly 3-colorable with high probabi…

math.CO2025

New Sidorenko-type inequalities in tournaments

Xiaoyu He, Nitya Mani, Jiaxi Nie +2

As a directed analog of Sidorenko's conjecture in extremal graph theory, Fox, Himwich, Zhou, and the second author defined an oriented graph to be tournament Sidorenko (anti-Si…

math.CO2025

Cutting a unit square and permuting blocks

Nathan Tung

Consider a random permutation of objects that permutes disjoint blocks of size and then permutes elements within each block. Normalizing its cycle lengths by give…

math.PR2024★ 3 cited

Poisson approximation for large permutation groups

Persi Diaconis, Nathan Tung

Let be a group of permutations of objects which permutes things independently in disjoint blocks of size and then permutes the blocks. We investigate the probabi…

stat.AP2021

Brain Functional Connectivity Estimation Utilizing Diffusion Kernels on a Structural Connectivity Graph

Nathan Tung, Jerome Sanes, Eli Upfal +1

Functional connectivity (FC) refers to the investigation of interactions between brain regions to understand integration of neural activity in several regions. FC is often estimate…