Conference on Functional Analysis

组织者的目标是促进美国在几何功能分析会议上的重要参与，将于2016年5月16日至20日在加拿大阿尔伯塔埃德蒙顿的阿尔伯塔大学举行。 该会议将是近年来规模最大的同类会议之一，调查现代几何泛函分析及其应用的最新技术。 全体会谈包括一些以前邀请的发言人国际数学家大会。重点将放在促进早期研究人员和领先专家之间的互动，为未来的研究机会做出贡献。 来自美国各地的早期研究人员将能够通过讲座和海报展示他们的工作。几何泛函分析关注有限维空间的几何和线性性质，研究当维数或其他一些相关的自由参数增长到无穷大时它们的特征行为。 由于高维系统自然出现，并在数学和应用科学中发挥重要作用，因此该领域的技术具有广泛的兴趣。 在过去的十年中，几何泛函分析对各种领域产生了重大影响，包括凸集几何，随机矩阵理论，定量度量几何，概率和应用领域，如压缩传感。其目的是向最广泛的受众传播融合了后一个领域的工具的新技术。 与会者将有机会直接从主要贡献者那里了解最新进展和未来研究的前景。 更多信息请访问http://www.math.ualberta.ca/~vtroitsky/gfa/index.html

The organizers aim to promote significant US participation in the Conference on Geometric Functional Analysis, to be held May 16-20th, 2016, at the University of Alberta, in Edmonton, Alberta, Canada. The conference will be among the largest of its kind in recent years, surveying the state of the art on modern geometric functional analysis and its applications. The plenary talks include a number of previous invited speakers to the International Congress of Mathematicians. Emphasis will be placed on promoting interaction between early-stage researchers and leading experts, contributing to future research opportunities. Early-stage researchers from across the US will be able to showcase their work through talks and a poster session.Geometric functional analysis is concerned with geometric and linear properties of finite dimensional spaces, studying their characteristic behavior when the dimension, or a number of other relevant free parameters, grows to infinity. Since high dimensional systems appear naturally and play an essential role in mathematics and applied sciences, the techniques from the field are of broad interest. In the last decade, geometric functional analysis has had a significant impact on a variety of fields including the geometry of convex sets, random matrix theory, quantitative metric geometry, probability and applied fields such as compressed sensing. The aim is to communicate new techniques that merge tools from the latter fields to the broadest of audiences. Participants will have the opportunity to hear about the latest developments and the landscape of future research directly from the main contributors. Further information is available at http://www.math.ualberta.ca/~vtroitsky/gfa/index.html