유명준 교수
Myungjun Yu
연세대학교 수학과 · 수학
연구실 소개
유명준 교수의 연구실은 수학적 구조와 확률적 분포의 상호작용을 중심으로, 특히 p진 정수와 유한체 위의 랜덤 행렬, 타원곡선의 복소 multiplication 성질, 그리고 코어 분할, 특성다항식의 구조 등에 깊이 있는 이론적 연구를 수행하고 있습니다. 특히 랜덤 행렬의 코어널(cokernel) 분포가 코HEN–LENSTRA 측도에 수렴하는 조건을 규명하고, 타원곡선의 이중화가 루트 넘버를 일정하게 유지하는 조건을 밝혀내는 데 기여했습니다. 이는 정수론, 조합론, 대수기하학의 교차 분야에서 중요한 이론적 진전을 이룹니다.
연구 현황
연구 성과 추이
표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.
주요 논문
12Finding the largest size of a partition under certain restrictions has been an interesting subject to study. For example, it is proved by Olsson and Stanton that for two coprime integers [Formula: see text] and [Formula: see text], the largest size of an [Formula: see text]-core partition is [Formula: see text]. Xiong found a formula for the largest size of a [Formula: see text]-core partitions with distinct parts. In this paper, we find an explicit formula for the largest size of an [Formula: s
Given a prime $p$, let $P(t)$ be a non-constant monic polynomial in $t$ over the ring $\mathbb{Z}_{p}$ of $p$-adic integers. Let $X_{n}$ be an $n \times n$ random matrix over $\mathbb{Z}_{p}$ with independent entries that lie in any residue class modulo $p$ with probability at most $1 - ε$ for a fixed real number $0 < ε< 1$. We prove that as $n \rightarrow \infty$, the distribution of the cokernel $\mathrm{cok}(P(X_{n}))$ of $P(X_{n})$ converges to the distribution given by a finite produc
Let [Formula: see text] be an elliptic curve defined over a number field [Formula: see text]. Suppose that [Formula: see text] has complex multiplication over [Formula: see text], i.e. [Formula: see text] is an imaginary quadratic field. With the aid of CM theory, we find elliptic curves whose quadratic twists have a constant root number.
In this paper, we study the distribution of the cokernels of random $p$-adic matrices with fixed zero entries. Let $X_n$ be a random $n \times n$ matrix over $\mathbb{Z}_p$ in which some entries are fixed to be zero and the other entries are i.i.d. copies of a random variable $ξ\in \mathbb{Z}_p$. We consider the minimal number of random entries of $X_n$ required for the cokernel of $X_n$ to converge to the Cohen--Lenstra distribution. When $ξ$ is given by the Haar measure, we prove a lower bound
Given a positive integer $r$ and a prime power $q$, we estimate the probability that the characteristic polynomial $f_{A}(t)$ of a random matrix $A$ in $\mathrm{GL}_{n}(\mathbb{F}_{q})$ is square-free with $r$ (monic) irreducible factors when $n$ is large. We also estimate the analogous probability that $f_{A}(t)$ has $r$ irreducible factors counting with multiplicity. In either case, the main term $(\log n)^{r-1}((r-1)!n)^{-1}$ and the error term $O((\log n)^{r-2}n^{-1})$, whose implied constan
We extend an observation due to Stong that the distribution of the number of degree $d$ irreducible factors of the characteristic polynomial of a random $n \times n$ matrix over a finite field $\mathbb{F}_{q}$ converges to the distribution of the number of length $d$ cycles of a random permutation in $S_{n}$, as $q \rightarrow \infty$, by having any finitely many choices of $d$, say $d_{1}, \dots, d_{r}$. This generalized convergence will be used for the following two applications: the distribut
We study the distribution of the cokernels of random row-sparse integral matrices $A_n$ according to the determinantal measure from a structured matrix $B_n$ with a parameter $k_n \ge 3$. Under a mild assumption on the growth rate of $k_n$, we prove that the distribution of the $p$-Sylow subgroup of the cokernel of $A_n$ converges to that of Cohen--Lenstra for every prime $p$. Our result extends the work of A. Mészáros which established convergence to the Cohen--Lenstra distribution when $p \ge
We introduce the multi-Gaussian polynomial [Formula: see text], a multi-partition analogue of the Gaussian polynomial (also known as [Formula: see text]-binomial coefficient), as the generating function for certain restricted multi-color partitions. We study basic properties of multi-Gaussian polynomials and non-symmetric properties of [Formula: see text]. We also derive a Sylvester-type identity and its application.
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