C*-algebras of semigroups and dynamical systems
C*-algebras of semigroups and dynamical systems
批准号:
EP/M009718/1
负责人:
Xin Li
金额:
$12.8万
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2015
资助国家:
英国
项目状态:
已结题
起止时间:
2015 至 --
中文摘要
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英文摘要
The theory of operator algebras goes back to Murray, von Neumann, Gelfand and Naimark. The original motivation was to provide a mathematical foundation for quantum mechanics. At the same time, from the very beginning of the subject, it was anticipated that operator algebras form very interesting structures on their own right and will have applications to unitary representations of groups and operator theory in Hilbert space. Actually, much more turned out to be true. After some dramatic and unexpected developments, the theory of operator algebras has established itself as a very active and highly interdisciplinary research area. Not only do there exist - as initially envisioned - strong connections to quantum physics as well as representation theory and operator theory, operator algebras nowadays have far reaching applications in various mathematical disciplines like functional analysis, algebra, geometric group theory, geometry, topology or dynamical systems.One of the most important classes of operator algebras is given by C*-algebras, which are defined as norm-closed, self-adjoint algebras of bounded linear operators on a Hilbert space. As in many areas in mathematics, advances in the theory of C*-algebras went hand in hand with the discovery of interesting and illuminating examples, the most prominent ones being group C*-algebras and C*-algebras attached to dynamical systems, so-called crossed products.The main objects of study in this research project are given by semigroup C*-algebras, which are natural generalizations of group C*-algebras. Our goal is to analyse the structure of semigroup C*-algebras and to use this construction as a tool to study groups and their subsemigroups from the point of view of geometric group theory. Closely related to this, this project also aims at a better understanding of the interplay between C*-algebras and dynamical systems.Our project lies at the frontier of current research. We take up recent advances in semigroup C*-algebras, classification of C*-algebras, the interplay between C*-algebras and symbolic dynamics, as well as the discovery of rigidity phenomena in operator algebras and dynamical systems.One of the key characteristics of our research project is its high interdisciplinary character. It lies at the interface of several research areas in mathematics and brings together expertise from different fields. This takes up the trend in mathematics that interactions between different branches are becoming more and more important. Therefore, the mathematical community as a whole benefits through an active and inspiring exchange of ideas.
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DOI:
10.1093/imrn/rnw166
发表时间:
2016
期刊:
International Mathematics Research Notices
影响因子:
1
作者:
[Li X]
通讯作者:
Li X
DOI:
10.1090/tran/7654
发表时间:
2019
期刊:
Transactions of the American Mathematical Society
影响因子:
1.3
作者:
[Li X]
通讯作者:
Li X
DOI:
10.1017/etds.2016.98
发表时间:
2015-03
期刊:
Ergodic Theory and Dynamical Systems
影响因子:
0.9
作者:
[Xin Li]
通讯作者:
Xin Li
On K-theoretic invariants of semigroup C*-algebras attached to number fields, Part II
关于附属于数域的半群 C* 代数的 K 理论不变量,第二部分
DOI:
10.1016/j.aim.2015.12.024
发表时间:
2016
期刊:
Advances in Mathematics
影响因子:
1.7
作者:
[Li X]
通讯作者:
Li X
Cartan subalgebras and the UCT problem, II
嘉当子代数和 UCT 问题,II
DOI:
10.48550/arxiv.1704.04939
发表时间:
2017
期刊:
arXiv e-prints
影响因子:
--
作者:
[Barlak Selcuk]
通讯作者:
Barlak Selcuk
共 6 条
CCSS: Uncertainty-Aware Computational Imaging in the Wild: a Bayesian Deep Learning Approach in the Latent Space
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批准号:2318758
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项目类别:Standard Grant
-
资助金额:$20.0万
-
财政年份:2023
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负责人:Xin Li
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依托单位:
HCC: Small: Toward Computational Modeling of Autism Spectrum Disorder: Multimodal Data Collection, Fusion, and Phenotyping
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批准号:2401748
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项目类别:Standard Grant
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资助金额:$50.0万
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财政年份:2023
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负责人:Xin Li
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依托单位:
CCSS: Uncertainty-Aware Computational Imaging in the Wild: a Bayesian Deep Learning Approach in the Latent Space
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批准号:2348046
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项目类别:Standard Grant
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资助金额:$20.0万
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财政年份:2023
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负责人:Xin Li
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依托单位:
CAREER:Single-neuron mechanisms of social attention in humans
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批准号:2401398
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项目类别:Continuing Grant
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资助金额:$63.33万
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财政年份:2023
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负责人:Xin Li
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依托单位:
AF: Small: Fundamental Questions in Communication and Computation Regarding Edit Type String Measures
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批准号:2127575
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项目类别:Standard Grant
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资助金额:$44.18万
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财政年份:2021
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负责人:Xin Li
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依托单位:
HCC: Small: Toward Computational Modeling of Autism Spectrum Disorder: Multimodal Data Collection, Fusion, and Phenotyping
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批准号:2114644
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项目类别:Standard Grant
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资助金额:$50.0万
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财政年份:2021
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负责人:Xin Li
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依托单位:
CAREER:Single-neuron mechanisms of social attention in humans
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批准号:1945230
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项目类别:Continuing Grant
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资助金额:$63.33万
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财政年份:2020
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负责人:Xin Li
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依托单位:
CAREER: Pseudorandom Objects and their Applications in Computer Science
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批准号:1845349
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项目类别:Continuing Grant
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资助金额:$50.0万
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财政年份:2019
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负责人:Xin Li
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依托单位:
SHF: Small: Re-thinking Polynomial Programming: Efficient Design and Optimization of Resilient Analog/RF Integrated Systems by Convexification
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批准号:1720569
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项目类别:Standard Grant
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资助金额:$35.0万
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财政年份:2017
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负责人:Xin Li
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依托单位:
SHF: Small: Re-thinking Polynomial Programming: Efficient Design and Optimization of Resilient Analog/RF Integrated Systems by Convexification
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批准号:1604150
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项目类别:Standard Grant
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资助金额:$35.0万
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财政年份:2016
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负责人:Xin Li
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依托单位:
AF: Small: Randomness in Computation - Old Problems and New Directions
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批准号:1617713
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项目类别:Standard Grant
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资助金额:$37.48万
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财政年份:2016
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负责人:Xin Li
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依托单位:
MATH-GAINS: Growing as Adaptive Instructors in Gateway to STEM Courses
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批准号:1505322
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项目类别:Standard Grant
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资助金额:$25.0万
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财政年份:2015
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负责人:Xin Li
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依托单位:
CIF:SMALL: Image Restoration via Bayesian Structured Sparse Coding
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批准号:1420174
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项目类别:Standard Grant
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资助金额:$15.41万
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财政年份:2014
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负责人:Xin Li
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依托单位:
SHF: Small: Bayesian Model Fusion: A Statistical Framework for Efficient Validation and Tuning of Complex Analog and Mixed Signal Circuits
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批准号:1316363
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项目类别:Standard Grant
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资助金额:$36.08万
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财政年份:2013
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负责人:Xin Li
-
依托单位:
CCSS: Simultaneous Sparse Coding for Energy Efficient Sensing: from Low-illumination to Super-Clarity Imaging
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批准号:1305661
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项目类别:Standard Grant
-
资助金额:$24.94万
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财政年份:2013
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负责人:Xin Li
-
依托单位:
CGV: Small: Digital Forensic Facial Reconstruction from Incomplete Datasets
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批准号:1320959
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项目类别:Standard Grant
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资助金额:$44.76万
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财政年份:2013
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负责人:Xin Li
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依托单位:
CAREER: Maximum-Information Memory System: Theory, Implementation and Application
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批准号:1148778
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项目类别:Continuing Grant
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资助金额:$40.0万
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财政年份:2012
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负责人:Xin Li
-
依托单位:
SHF: Small: Collaborative Research: Fast Sign-Off of Nanoscale Memory: From Predictive Device Modeling to Statistical Circuit Synthesis
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批准号:1016890
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项目类别:Continuing Grant
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资助金额:$22.49万
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财政年份:2010
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负责人:Xin Li
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依托单位:
From Compressed Sensing to Collective Sensing: a Complex Network Approach
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批准号:0968730
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项目类别:Standard Grant
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资助金额:$29.25万
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财政年份:2010
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负责人:Xin Li
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依托单位:
SHF: Small: Virtual Probe: A Statistically Optimal Framework for Affordable Monitoring and Tuning of Large-Scale Digital Integrated Circuits
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批准号:0915912
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项目类别:Standard Grant
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资助金额:$45.0万
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财政年份:2009
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负责人:Xin Li
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依托单位:
海外基金