Today's topic
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中国科学技术大学数学系沈维孝教授又一篇论文被Ann. Math.接受发表
近日，中国科学技术大学数学系沈维孝教授的论文“Combinatorial rigidity for
unicritical polynomials”被
国际顶尖数学杂志Ann. Math.接受发表。这是沈维孝教授被Ann. Math.接受发表的第四篇论文
。在此之前，沈维孝教授已有一篇论文在Ann. Math.上正式发表(2006年)，另有两篇论文被接
受发表。据悉，自改革开放以来，有国内学者参与的、在Ann. Math.上正式发表的论文只有5
篇，其中以国内为独立完成单位的只有两篇（含沈维孝教授的一篇）。
在这篇与Artur Avila，Jeremy Kahn，Mikhail Lyubich合作的论文中，作者证明了非无穷可
重整的单临界点多项式的组合刚性，推广了Yoccoz(菲尔兹奖获得者)的关于二次多项式的相应
结果。
沈维孝教授1995年毕业于我校数学系，随后被派遣到东京大学攻读博士学位。2001年获得博士
学位。2001年11月至2004年9月在国际动力系统中心之一的英国Warwick大学工作。2004年9月
作为“中科院百人计划”引进人才回我校工作。沈维孝教授还在Invent. Math.； Ann. Sci.
Ecole. Norm. Sup.等国际著名杂志上发表过论文。
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2007年“应用数学与科学计算”暑期学校即将于2007年7月1日-8月5日在北大举行。
由北京大学研究生院，北京国际数学中心和国家自然科学基金委天元基金联合
举办的2007应用数学于科学计算暑期学校即将于7月1日-8月5日在北大举行。
2007年度的研究生精品课程主要开设两门课，每门18学时。课程侧重于具有学科交叉性质的多
尺度建模方向。预计规模约50人。
课程一：Mathematical introduction to statistical and quantum mechanics
课程二：Introduction to atomistic modeling
详细信息请参见http://www.bicmr.org
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会议信息:Recent Advances on Spectral Methods and Related Applications
Xiamen University, China, June 14-16, 2007
Background:
In conjunction with the ICOSAHOM07 in Beijing, we are organizing a small workshop
on
"Recent Advances on Spectral Methods and Related Applications" during
June 14-16 at
Xiamen University. The purpose of the workshop is to bring together leading
experts
in spectral methods and their applications to exchange recent advances and
ideas, and
to promote research and collaboration.
This workshop is sponsored by the School of Mathematical Sciences , Xiamen University
Organizing Committee:
Jie Shen, Purdue University, USA
Chuanju Xu, Xiamen University, China
LinZhang Lu, Xiamen University, China
Travel Information/ Conference Location:
Hotel: International Conference Center of Xiamen University.
Xiamen is located in a beautiful peninsula across the Taiwan straight, and
is a
very popular tourist destination in China. There are frequent direct flights
to
Xiamen from Beijing and Shanghai (and other major airports in China). A round
trip
ticket from Beijing or Shanghai to Xiamen is typically between $150--$300,
and
can be purchased at the airport or reserved in advance.
All the speakers will be host at International Conference Center of Xiamen
University,
which is located at the principal campus of Xiamen University.
Pick up service: The airport pick-up service will be arranged for the workshop
speakers
to transport from the Xiamen GaoQi airport to the hotel. Please let us know
your
flight information by sending email to cjxu@xmu.edu.cn.
Taxi: Xiamen university is about 20km from Xiamen GaoQi airport. If you miss
the
pick-up service, you can reach the hotel easily by taxi. It will cost about
60 RMB (Chinese Yuan).
List of speakers:
Mejdi Azaiez
TREFLE, Université de Bordeaux-I
France
Weizhu Bao
National Singapore University
Singapore
Wei Cai
University of North Calolina at Charlotte
USA
Qiang Du
Penn State University
USA
Daniele Funaro
Universita di Modena e Reggio Emilia
Italy
Anne Gelb
Arizona State University
USA
Benyu Guo
Shanghai Normal University
China
Tom Hagstrom
University of New Mexico at Albuquerque
USA
Sidi Mahmoud Kaber
Université de Paris-VI
France
George Karniadakis
Brown University
USA
Ernest Mund
Bienvenue à l'Université Libre de Bruxelles
Belgique
Tao Tang
Hong Kong Baptist University
Hong Kong
Dongbin Xiu
Purdue University
USA
Longan Ying
Xiamen University
China
Li-Lian Wang
Nanyang Technological University
Singapore
Zhimin Zhang
Wayne State University
USA
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北京大学2007年多重网络自适应有限方法暑期课程
于六月二十五日至七月十三日举办
多重网格自适应有限方法暑期课程将于2007年6月25日至7月13日在北京大学举行。本课程是北京
国际数学研究中心、北京大学研究生院、北京大学科学与工程计算中心共同主办的多重网格自适
应有限方法暑期系列活动的一个部分。目的是为国内青年学者和研究生提供一个学习、交流与合
作的平台。我们已经邀请来自海内外的知名学者进行为期3周的授课，内容主要包括：多重网格方
法、各向同性自适应有限元方法、各向异性各向同性自适应有限元方法。
欢迎各大院校研究生、博士后、青年教师报名参加。
报名方式
通过网页下载报名表格，用email方式发至lianglan@pku.edu.cn
不收取注册费等费用，但食宿自理
截止日期
即日起至2007年5月20日。被录取的名单将于2007年5月31日前用email方式通知
联系方式
北京大学数学科学学院 梁岚
100871
Email:lianglan@pku.edu.cn
电话：010－62759090
传真：010－62767146
网页链接http://ccse.pku.edu.cn/2007summer/shortcourse.html
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会议信息: A two-month program on
``Bose-Einstein Condensation and Quantized Vortices in
Superfluidity and Superconductivity''
at
Institute for Mathematical Sciences, National University of Singapore
(1 Nov - 31 Dec 2007)
Organizing Committee
Co-chairs
Weizhu Bao (National University of Singapore)
Fanghua Lin (Courant Institute, New York University)
Members
Jiangbin Gong (National University of Singapore)
Dieter Jaksch (University of Oxford)
Baowen Li (National University of Singapore)
Peter Markowich (University of Vienna)
Overview
Since its realization in dilute bosonic atomic gases in 1995,
Bose-Einstein condensation (BEC) of alkali atoms and hydrogen atoms
has been produced and studied extensively in the laboratory.
This has spurred great excitement in the atomic physics community
and renewed the interest in studying collective dynamics of
macroscopic ensembles of atoms occupying the same one-particle
quantum state and quantized vortex in superfluidity. Theoretical
predictions of the properties of BEC like the density profile,
collective excitations and the formation of quantized vortices
can now be compared with experimental data.
This dramatic progress on the experimental front has stimulated
a wave of activity on both the theoretical and the numerical fronts.
In fact, the study of BEC and quantized vortices in superfluidity
has been and will continue to be one of the hottest research areas
in quantum physics and applied and computational mathematics.
It involves field theory, kinetic theory, quantum mechanics,
molecular dynamics, quantum hydrodynamics, stochastic analysis
and scientific computing. Scientific modeling, mathematical
analysis and numerical simulation within these frameworks are
among the central themes of modern applied mathematics and sciences.
With advances in technology, BEC in solids and waveguides as well
as fermion condensation were realized in experiments recently.
However, the understanding of these complicated physical phenomena,
in particular, the scientific modeling for fermion condensation
and the application of BEC in quantum computing, provide formidable
challenges to researchers in these fields.
This two-month program will bring together leading international
applied and pure mathematicians, theoretical and experimental
physicists, and computational scientists, and researchers from
NUS Departments of Mathematics, Physics, Material Sciences and
Mechanical Engineering, and from A*STAR institutes IHPC and IMRE,
to review, develop and promote interdisciplinary research on
Bose-Einstein condensation and quantized vortex states and dynamics
in superfluidity and superconductivity.
Activities
The program activities will consist of two workshops, series
seminars and collaborative research.
1. Collaborative research: 1 November -- 31 December, 2007
2. Workshop 1: 12 -- 16 November, 2007
Title: Bose-Einstein condensation: modeling, analysis,
computation and applications
3. Workshop 2: 10 -- 14 December, 2007
Title: Quantized vortices in superfluidity and superconductivity
and kinetic theory
For more information about the program, please visit its webpage at:
http://www.ims.nus.edu.sg/Programs/bose07/index.htm
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会议信息:
Mathematical Issues in Stochastic Approaches for Multiscale Modeling
http://www.msri.org/calendar/workshops/WorkshopInfo/398/show_workshop
May 21, 2007 to May 25, 2007
Organized By: Roberto Camassa (UNC - Chapel Hill), Jinqiao Duan
(Illinois Institute of Technology - Chicago), Peter E. Kloeden (U of
Frankfurt, Germany), Jonathan Mattingly
(Duke U), Richard McLaughlin (UNC - Chapel Hill)
Parent Programs:
Dynamical Systems
Participant List:
View a List of Registered Participants
Complex physical, biological, geophysical and environmental systems display
variability
over a broad range of spatial and
temporal scales. To make progress in understanding and modelling such systems,
a
combination of computational, analytical, and experimental techniques is required.
There are issues that emerge prominently in each of these categories and in
all
these stochastic methods are playing a fundamental role.
Firstly, at present and for the conceivable future, not all scales of variability
can be explicitly modeled: representations of the effects of the unresolved
scales
of variability on the resolved scales are needed -- the so-called parameterization
problem. Recently, stochastic parameterization schemes have been proposed and
used
in, for example,
geophysical and climate simulations. Some of these stochastic parameterization
methods may be verified under certain conditions.
Secondly, critical insight can be gained by deriving and studying models that
are simple enough to be amenable to analysis. Stochastic evolutionary equations
are
used to build reduced models to improve our understanding of non-equilibrium
multiscale systems. Central topics for non-equilibrium systems investigations
are, for example, time evolution of the statistics of dependent variables,
such as passive tracers and their increments, slow-fast motion decomposition,
coarse-graining and model reduction. Fast motion or microscopic processes may
be represented by stochastic processes and this has brought in new insights
for
model reduction (such as slow manifold reduction) of multiscale systems.
Thirdly, engineering and natural systems are often subject to uncertainty
or
random influence, such as stochastic forcing, uncertain parameters, and random
boundary conditions. Taking stochastic effects into account is of central importance
for developing mathematical models capable of interpreting experimental data.
Stochastic partial or ordinary differential
equations are appropriate models for randomly influenced multiscale systems.
The last decade has seen important developments in both the areas of stochastic
analysis and of dynamical systems. Random dynamical systems (e.g., basic
background materials in Ludwig Arnold's 1998 book Random Dynamical Systems),
as the combination of these two seemly remote mathematical areas, have attracted
considerable attention in multiscale modeling community recently. Stochastic
dynamical systems provide a unified framework and useful techniques for
investigating multiscale systems under uncertainty.
The research in the above-mentioned areas has reached a point where it is
important and timely to summarize the past
achievements, to synthesize various ideas, methods, and paradigms, and use
these to stimulate new research by discussing directions and outlooks. Many
challenging problems
lie ahead, such as invariant manifold reduction under uncertainty,
predictability of dynamical behavior, and systematic coarse-graining and model
reduction, to name just a few. Solutions for these problems will greatly
enhance our ability in understanding, quantifying, and managing uncertainty
and predictability in engineering and science. Breakthroughs in solving these
challenging problems are stimulated when we take concentrated and focused actions.
With this in mind, we propose to organize a workshop at MSRI on mathematical
issues in stochastic approaches for multiscale modeling. The major difference
with other workshops
is that we focus on mathematical issues about stochastic methods for
multiscale non-equilibrium systems.
The planned workshop will survey past achievements in stochastic approaches
for
multiscale modeling, and discuss future research directions. It is hoped that
this
workshop will provide a unique opportunity for interaction of established
mathematicians
and newcomers (Ph.D. students, post-docs, and junior researchers).
Major goals of this workshop are: (i) to stimulate new research on stochastic
modeling of multiscale systems, and (ii) to
attract Ph.D. students, post-docs, and junior researchers into this exciting
field. The engagement of newcomers into the field is an important feature of
this workshop. Newcomers will have informal individual meetings with senior
participants, discussing possible research topics. Round table meetings will
be held, with senior participants outlining
what areas they deem important and what opportunities exist for junior people
to get involved in addressing open problems. This will offer newcomers a
comprehensive view of
the state of art of the field and pick up appropriate research projects.
To facilitate
the continued interaction among participants, informal electronic newsletters
(via an
E-mail list) will be edited by the organizers, discussing research and teaching
of stochastic modeling of multiscale systems.
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新书介绍：Adaptive Computations: Theory and Algorithms 科学出版社
丛书：Mathematics Monograph Series；6
作者：汤涛 许进超 编著
ISBN：978-7-03-018421-4
定价：78.00 RMB； 初版日期：2007.3
联系人：科学出版社 范庆奎 qkfan@163.com
Adaptive grid methods are among the most important classes of numerical methods
for partial differential equations that arise from scientific and engineering
computing.
The study of this type of methods has been very active in recent years for
algorithm
design, theoretical analysis and applications to practical computations. This
volume
contains a number of self-contained articles for adaptive finite element and
finite
difference methods, which is aimed to provide some introduction materials for
graduate
students and junior researchers and a collection of references for researchers
and
practitioners.These articles mostly grew out of the lectures notes that were
given in
Summer Workshops on Adaptive Method, Theory and Application organized by Tao
Tang,
Jinchao Xu and Pingwen Zhang in Peking University, China, during June 20--August
20,
2005. This summer school was aimed to provide a comprehensive and up-to-date
presentation
of modern theories and practical applications for adaptive computations. The
main lecturers
of the Summer School include Weizhang Huang of University of Kansas, Natalia
Kopteva of
University of Limerick, Zhiping Li of Peking University, John Mackenzie of
Strathclyde
University, Jinchao Xu of Penn State University, Paul Zegeling of Utrecht University,
and
Zhimin Zhang of Wayne State University. Other lecturers include Tao Tang, Xiaoping
Wang of
HKUST, Huazhong Tang and Pingwen Zhang (both from Peking University). More
detailed
information of this summer school can be found
in http://ccse.pku.edu.cn/activities/2005/adaptiveseminar.htm(which is most
in Chinese).
新书介绍：科学计算概论 科学出版社
丛书：信息与计算科学丛书；39
作者：陈传淼
ISBN：978-7-03-018609-6
定价：48.00 RMB； 初版日期：2007.3
联系人：科学出版社 范庆奎 qkfan@163.com
本书以统一而较简明的方式介绍现代科学计算的基本方法及新进展，主题围绕用有限元法求解各种
偏微分方程，特别强调分块逼近和正交投影思想的重要性以及对多维问题的张量积研究方法。
本书可作为理工科相关专业的研究生教材或参考书，基本内容也可作为数学高年级学生的选修
课之用，
对涉及科学与工程设计计算的广大科技工作者也非常有益。
===========================================================================================
系列数学书介绍
Interdisciplinary Mathematical Sciences
(ISSN: 1793-1355) World Scientific Publishing
http://www.worldscibooks.com/series/ims_series.shtml
Aims and Scope
This book series will include expository books, textbooks and research monographs
dealing with the interactions between mathematical sciences and other scientific
disciplines such as engineering sciences, physical sciences, life sciences
and social
sciences.
Audience
The volumes will be of interest to mathematicians, scientists and engineers
who value
interdisciplinary applications of mathematical sciences. Graduate
and undergraduate
students in these fields will also find the series valuable.
Editor-in-Chief:
Jinqiao Duan (Illinois Institute of Technology, Chicago)
duan@iit.edu
Editors:
Ludwig Arnold (arnold@math.uni-bremen.de)
(University of Bremen, Germany; Random dynamical systems and applications)
Roberto Camassa (camassa@amath.unc.edu)
(University of North Carolina; Mathematical modeling and analysis)
Peter Constantin (const@cs.uchicago.edu)
(University of Chicago; Fluid dynamics, partial differential equations)
Charles Doering (doering@umich.edu)
(University of Michigan; Statistical physics, interdisciplinary modeling, fluid
dynamics)
Paul Fischer (fischer@mcs.anl.gov)
(Argonne National Laboratory; scientific computing, biological fluid dynamics)
Andrei V Fursikov (fursikov@mtu-net.ru)
(Moscow State University, Russia; Control of distributed systems, statistical
hydromechanics)
Fred R McMorris (mcmorris@iit.edu)
(Illinois Institute of Technology; Discrete applied mathematics, genome and
biological modeling)
Daniel Schertzer (Daniel.Schertzer@enpc.fr)
(Universite de Paris VI, France; Geosciences)
Bjorn Schmalfuss (schmalfu@math.upb.de)
(University of Paderborn, Germany; Random dynamical systems, stochastic partial
differential equations and applications)
Xiangdong Ye (yexd@ustc.edu.cn)
(The University of Science and Technology of China: Ergodic Theory)
Jerzy Zabczyk (J.Zabczyk@impan.gov.pl)
(Polish Academy of Sciences; Stochastic partial differential equations, and
applications in other fields)
To contribute to this book series, contact editor@worldscientific.com or download
the book proposal form.
--------------------------------------------------------------------------------
Vol. 1
Global Attractors of Non-Autonomous Dissipative Dynamical Systems
by David N Cheban
Vol. 2
Stochastic Differential Equations: Theory and Applications
A Volume in Honor of Professor Boris L Rozovskii
edited by Peter H Baxendale & Sergey V Lototsky
Vol. 3
Amplitude Equations for Stochastic Partial Differential Equations
by Dirk Blomker
Vol. 4
Mathematical Theory of Adaptive Control
by Vladimir G Sragovich
translated by I A Sinitzin
edited by J Spaliński, with assistance from Stettner & J Zabczyk
Vol. 5
Hilbert-Huang Transform and Its Applications
edited by Norden E Huang & Samuel S P Shen
Vol. 6
Meshfree Approximation Methods with MATLAB
(With CD-ROM)
by Gregory E Fasshauer
==================================================================================
数学系介绍: 山西师范大学数学与计算机科学学院
摘自中国数学与系统科学信息网
http://www.chinamath.cn/
山西师范大学数学与计算机科学学院下设三个系、两个研究所。分别是：数学与应用数学系、
信息与计算科学系、计算机科学与技术系，应用数学研究所、计算机软件研究所。应用数学为
省级重点学科。现有基础数学、应用数学、计算数学三个硕士点，有数学课程与教学论和信息
技术课程与教学论两个硕士专业。现可以从十三个专业方向同时招收硕士研究生与教育硕士。
数学与计算机科学学院现有在校本、专科生1561名，研究生107名，各类本、专科成人学生1000余
名。有教职工88名，其中教师78名。在78名教师中，有教授12名，副教授21名，博导2名，硕导15
名，享受国务院特殊津贴的专家2名，山西省优秀专家1名，山西省青年学科带头人2名，博士14名，
在读博士9人，硕士20名。40岁以下的青年教师中硕士、博士比例达90%以上。目前，学院已形成一
支以教授、博士为主体的教学科研骨干队伍，其中有些教师还荣获全国五一奖章、全国先进工作者、
山西省科技功臣和山西省青年科学家奖。
近年来，在以侯晋川教授、张勤海教授、高明杵教授等一批学者的带动下，在算子代数、算子理论
及其应用、群论等研究领域取得了国内外瞩目的丰硕成果。我院先后承担了国家级科研项目10余项，
省级科研项目30余项，横向开发项目10余项。据不完全统计，我院教师在《J. Funct.Anal.》、
《J.Math.Anal. Appl》、《J.Oper.Th.》、《Inter.Equa.Oper.Th.》、《Lin.Alg.Appl.》、
《Proc.AMS.》、
《Math.Z.》、《Studia Math.》、《Sci. in China》、《Acta Math.Sin.》、
《ChineseAnn.Math.》、《Acta Math.Sci.》、《科学通报》、《计算机学报》、《软件学报》、
《自动化学报》、《计算机工程》、《计算机科学》、《情报科学》、《系统工程理论与实践》等国
内外学术刊物上发表论文400多篇，其中国际著名刊物70余篇，国内核心刊物200余篇，国际会议论文
15篇，出版教材、编著、译著40余部。其中所承担完成的科研项目曾获国家教委科技进步奖1项，国家
优秀教学成果奖1项，国家有突出贡献的优秀回国留学人员奖1项，全国青年科技奖1项，省级科技进步
奖5项，省级优秀论文30多篇。有近40篇论文被世界著名科技论文检索系统SCI摘评。
2001年10月我院成功举办了"算子理论与算子代数"国际学术会议，2003年8月又成功举办了"全国数学
群论研讨会"。
在1999年至2003年的全国大学生数学建模竞赛中，我院有三个队获得全国二等奖，获得四个省级一等
奖，有三个队和四个队分别获得省级二等奖和三等奖。多年来学生的就业率达到100%。
学院的长远规划目标是：加快发展步伐，优化培养环境，努力把山西师大数学与计算机科学学院建设
成一个培养数学、计算机、信息技术等优秀专业人才的基地。
http://mcs.sxtu.edu.cn/
================================================================================
------------------------------
End of CAM Digest
本期到此结束