FRG: Collaborative Research: Matroids, Graphs, and Algebraic Geometry
FRG:协作研究:拟阵、图和代数几何
基本信息
- 批准号:2229915
- 负责人:
- 金额:$ 19.5万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2022
- 资助国家:美国
- 起止时间:2022-06-01 至 2024-06-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Recent advances in matroid and graph theory fuse the methods of combinatorics with concepts from algebraic geometry to resolve longstanding conjectures and provide deep insights into widespread phenomena such as unimodality and log concavity of integer sequences. The influences between combinatorics and algebraic geometry flow fruitfully in both directions; combinatorial constructions such as graph complexes have recently led to resolutions of long-standing conjectures in the geometry of moduli spaces of curves. The PIs will join forces and forge timely new collaborations to address the most pressing open problems at the interface between matroids, graphs, and algebraic geometry. The project includes the participation of graduate students and postdocs.This focused research group will build on recent breakthroughs to accomplish the following goals: 1. Study matroidal generalizations of Kontsevich’s graph complex and pursue applications to the top weight cohomology of moduli spaces of abelian varieties; 2. Investigate K-theoretic analogs of the Chow ring of a matroid, with a view toward a matroidal analog of the Hecke algebra and applications to matroidal Kazhdan-Lusztig theory; 3. Prove a categorification of the Hodge-Riemann bilinear relations in the presence of a finite group action, and pursue equivariant log concavity for the characteristic polynomial of a matroid with automorphisms; 4. Use methods inspired by the hard Lefschetz theorem to attack both the Welsh conjecture on the number of isomorphism classes of matroids of given size and rank and the Harary edge reconstruction conjecture for graphs.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
拟阵和图论的最新进展融合了组合数学的方法和代数几何的概念,解决了长期存在的问题,并对整数序列的单峰和对数等普遍现象提供了深刻的见解。组合学和代数几何之间的影响在两个方向上都很有成效;组合结构,如图复形,最近导致了曲线模空间几何中长期存在的问题的解决。 PI将联合起来,及时建立新的合作,以解决拟阵,图和代数几何之间的接口最紧迫的开放问题。本计画包括研究生与博士后的参与,此研究小组将以最新的研究成果为基础,达成下列目标:1。研究Kontsevich图复形的拟阵推广,并寻求其在阿贝尔簇模空间的顶权上同调中的应用; 2.研究拟阵的Chow环的K-理论类似物,着眼于Hecke代数的拟阵类似物和拟阵Kazhdan-Lusztig理论的应用; 3.证明了有限群作用下Hodge-Riemann双线性关系的一个分类,并对具有自同构的拟阵的特征多项式进行了等变对数逼近; 4.利用硬Lefschetz定理启发的方法来攻击关于给定大小和秩的拟阵的同构类的数量的Welsh猜想和图的Harary边重构猜想。该奖项反映了NSF的法定使命,并通过使用基金会的智力价值和更广泛的影响审查标准进行评估而被认为值得支持。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
June Huh其他文献
Correlation bounds for fields and matroids
场和拟阵的相关界限
- DOI:
10.4171/jems/1119 - 发表时间:
2018 - 期刊:
- 影响因子:2.6
- 作者:
June Huh;Benjamin Schroter;Botong Wang - 通讯作者:
Botong Wang
Development of a rectally administrable Dnase1 to treat septic shock by targeting NETs.
开发可直肠给药的 Dnase1,通过靶向 NET 来治疗感染性休克。
- DOI:
- 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
Su;Sang;Yeon Jun Kang;Won;June Huh;J. Park - 通讯作者:
J. Park
Phase behavior of reversibly associating star Copolymer-like polymer blends
- DOI:
10.1007/bf03218284 - 发表时间:
2002-02-01 - 期刊:
- 影响因子:3.400
- 作者:
June Huh;Seung Hyun Kim;Won Ho Jo - 通讯作者:
Won Ho Jo
Hodge Theory of Matroids
霍奇拟阵理论
- DOI:
10.1090/noti1463 - 发表时间:
2017 - 期刊:
- 影响因子:0
- 作者:
Karim A. Adiprasito;Eric Katz;June Huh - 通讯作者:
June Huh
Stellahedral geometry of matroids
拟阵的星面体几何
- DOI:
10.1017/fmp.2023.24 - 发表时间:
2022 - 期刊:
- 影响因子:0
- 作者:
C. Eur;June Huh;Matt Larson - 通讯作者:
Matt Larson
June Huh的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('June Huh', 18)}}的其他基金
FRG: Collaborative Research: Matroids, Graphs, and Algebraic Geometry
FRG:协作研究:拟阵、图和代数几何
- 批准号:
2053308 - 财政年份:2021
- 资助金额:
$ 19.5万 - 项目类别:
Standard Grant
相似海外基金
FRG: Collaborative Research: New birational invariants
FRG:协作研究:新的双有理不变量
- 批准号:
2244978 - 财政年份:2023
- 资助金额:
$ 19.5万 - 项目类别:
Continuing Grant
FRG: Collaborative Research: Singularities in Incompressible Flows: Computer Assisted Proofs and Physics-Informed Neural Networks
FRG:协作研究:不可压缩流中的奇异性:计算机辅助证明和物理信息神经网络
- 批准号:
2245017 - 财政年份:2023
- 资助金额:
$ 19.5万 - 项目类别:
Standard Grant
FRG: Collaborative Research: Variationally Stable Neural Networks for Simulation, Learning, and Experimental Design of Complex Physical Systems
FRG:协作研究:用于复杂物理系统仿真、学习和实验设计的变稳定神经网络
- 批准号:
2245111 - 财政年份:2023
- 资助金额:
$ 19.5万 - 项目类别:
Continuing Grant
FRG: Collaborative Research: Variationally Stable Neural Networks for Simulation, Learning, and Experimental Design of Complex Physical Systems
FRG:协作研究:用于复杂物理系统仿真、学习和实验设计的变稳定神经网络
- 批准号:
2245077 - 财政年份:2023
- 资助金额:
$ 19.5万 - 项目类别:
Continuing Grant
FRG: Collaborative Research: Singularities in Incompressible Flows: Computer Assisted Proofs and Physics-Informed Neural Networks
FRG:协作研究:不可压缩流中的奇异性:计算机辅助证明和物理信息神经网络
- 批准号:
2244879 - 财政年份:2023
- 资助金额:
$ 19.5万 - 项目类别:
Standard Grant
FRG: Collaborative Research: New Birational Invariants
FRG:合作研究:新的双理性不变量
- 批准号:
2245171 - 财政年份:2023
- 资助金额:
$ 19.5万 - 项目类别:
Continuing Grant
FRG: Collaborative Research: Singularities in Incompressible Flows: Computer Assisted Proofs and Physics-Informed Neural Networks
FRG:协作研究:不可压缩流中的奇异性:计算机辅助证明和物理信息神经网络
- 批准号:
2403764 - 财政年份:2023
- 资助金额:
$ 19.5万 - 项目类别:
Standard Grant
FRG: Collaborative Research: Singularities in Incompressible Flows: Computer Assisted Proofs and Physics-Informed Neural Networks
FRG:协作研究:不可压缩流中的奇异性:计算机辅助证明和物理信息神经网络
- 批准号:
2245021 - 财政年份:2023
- 资助金额:
$ 19.5万 - 项目类别:
Standard Grant
FRG: Collaborative Research: Variationally Stable Neural Networks for Simulation, Learning, and Experimental Design of Complex Physical Systems
FRG:协作研究:用于复杂物理系统仿真、学习和实验设计的变稳定神经网络
- 批准号:
2245097 - 财政年份:2023
- 资助金额:
$ 19.5万 - 项目类别:
Continuing Grant
FRG: Collaborative Research: Variationally Stable Neural Networks for Simulation, Learning, and Experimental Design of Complex Physical Systems
FRG:协作研究:用于复杂物理系统仿真、学习和实验设计的变稳定神经网络
- 批准号:
2245147 - 财政年份:2023
- 资助金额:
$ 19.5万 - 项目类别:
Continuing Grant