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20142026
most citedA stochastic variant of the abelian sandpile model

6 citations · 15 across the 11 of their papers we have counts for

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10 papers · 1 filter

math.NT2026

Explicit second moments of symplectic Siegel transforms

Kristian Holm, Seungki Kim

We give two alternate formulations for the second moment formula of the Siegel transform over , originally establ…

math.NT2023

A new upper bound on the smallest counterexample to the Mertens conjecture

John Rozmarynowycz, Seungki Kim

We report the finding of the new upper bound on the lowest positive integer for which the Mertens conjecture \begin{equation*} \left| \sum_{1 \leq n \leq x} μ(n) \right| < \sqr…

math.NT2022★ 3 cited

Adelic Rogers integral formula

Seungki Kim

We formulate and prove the extension of the Rogers integral formula to the adeles of number fields. We also prove the second moment formulas for a few important cases, enabling a n…

math.NT2021★ 1 cited

Higher-rank pointwise discrepancy bounds and logarithm laws for generic lattices

Seungki Kim, Mishel Skenderi

We prove a higher-rank analogue of a well-known result of W. M. Schmidt concerning almost everywhere pointwise discrepancy bounds for lattices in Euclidean space (see Theorem 1 [Tr…

math.NT2020★ 2 cited

Mean value formulas on sublattices and flags of the random lattice

Seungki Kim

We present the extensions of the Siegel integral formula ([10]), which counts the vectors of the random lattice, to the context of counting its sublattices and flags. Perhaps surpr…

math.NT2019

Counting rational points on a Grassmannian

Seungki Kim

We prove an estimate on the number of rational points on the Grassmannian variety of bounded twisted height, refining the classical results of Schmidt ([12]) and Thunder ([20]) ove…

math.NT2018

LLL and stochastic sandpile models

Jintai Ding, Seungki Kim, Tsuyoshi Takagi +1

Theaimofthepresentpaperistosuggestthatstatisticalphysicsprovides the correct language to understand the practical behavior of the LLL algorithm, most of which are left unexplained…

math.NT2016★ 2 cited

Random lattice vectors in a set of size O(n)

Seungki Kim

We adopt the sieve ideas of Schmidt and Södergren in order to study the statistics of vectors of a random lattice of dimension n contained in a set of volume O(n). We also give som…

math.NT2016★ 1 cited

The behavior of random reduced bases

Seungki Kim, Akshay Venkatesh

We prove that the number of Siegel-reduced bases for a randomly chosen -dimensional lattice becomes, for , tightly concentrated around its mean. We also sh…

math.NT2014

On the distribution of lengths of short vectors in a random lattice

Seungki Kim

We use an idea from sieve theory to estimate the distribution of the lengths of th shortest vectors in a random lattice of covolume 1 in dimension . This is an improvement of…