科学,科学方法和组织报告“理论数学和科学计算研究所(ITMSC) L.N.Gumilyov欧亚国立大学2019年(第一部分)”

N. Temirgaliyev
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引用次数: 0

摘要

这篇文章是关于\textit{理解数学}的不断实际问题的,甚至被G.H.哈代承认:“\textit{当我读它的时候,我第一次学会}了(《数学分析课程》,由约旦- N.T.)。”因此,本文致力于研究“\textit{科学环境和基础教科书对理解数学的重要性在多大程度上以及在何种关系}上”这一问题。虽然哈代的案例进行了反驳,但无论如何也不能使其成为无条件的,但显而易见的是,“\textit{合格的环境弥补了教科书的缺失”}。这个支持教科书的历史例子表明,在数学白热化的剑桥,一个具有绝对高智力的\textit{英国人},哈代从\textit{法国人}乔丹的\textit{数学分析教科书中理解}了数学。另一方面,在莫斯科数学学校的全盛时期,所有的5年制本科生和3年制研究生都是从莫斯科国立大学(MSU)力学和数学系毕业的,\textit{对数学有正确的理解}。正如莫斯科国立大学教授塔拉斯·帕夫洛维奇·卢卡申科对本文作者所说的那样,他们是初中生,接受了强大的基础数学训练,没有一本强制性的教科书,但有杰出的教授和300个研讨会(苏联的独特现象),学习者在很小的时候就被引入数学。在哈萨克斯坦,莫斯科国立大学的先驱毕业生是传奇人物萨杜卡斯·博卡耶夫和阿斯卡尔·扎卡列维奇·扎卡林,战后毕业生是卡卜杜什·朱玛加季耶维奇·瑙里兹巴耶夫、马拉特·拉希别尔季耶夫、扎贝克·奥巴基洛夫,以及现在活着的柳德米拉·阿列克谢耶娃、努尔兰·阿马诺夫、努尔兰·拉赫梅托夫、苏尔古勒·塔努尔卡耶夫、努尔兰·扎尔基诺夫。通过IThMandSC的哈萨克斯坦数学和计算机科学的位置在本文的§§0-2中表示。此外,还介绍了方案A的实施细节(作者将基础数学训练作为哈萨克语相当于IThMandSC在美国博士项目中的一般训练)。“数学分析”这本书是从自给自足的角度出发的,提供了对\textit{数学的理解},而不依赖于一个合格的环境。在“§7导论”中,作者向读者介绍了在与许多主要杰出数学家进行多次对话期间对\textit{数学的理解}所发展的一切,以及他们在莫斯科特殊数学环境中的观察和他们在科学研究和阅读各级数学文献过程中的个人结论。勒贝格测度理论是一个独立的主题,在20世纪和未来的数学发展中具有特殊的意义,这些文本的作者根据科学导师彼得·拉夫连季耶维奇·乌里扬诺夫的个人计划得到了数学理解,并得到了他的研究生迪米特里·佩切尔斯基的支持。笔者认为,概率论是一门具体的学科,有些地方需要进一步澄清。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Scientific, scientific-methodological and organizational report “The Institute of theoretical mathematics and scientific computing (ITMSC) L.N.Gumilyov Eurasian National University in 2019 year (Part I)”
The article is the written on the constantly actual problem of \textit{understanding mathematic} which is even confessed by G.H. Hardy: "\textit{I learnt for the first time as I read it} ("Course of Mathematical Analysis" by Jordan - N.T.). Therefore, it is devoted to the question "\textit{To what extent and in what relation are the scientific environment and basic textbooks important for understanding mathematics?}". Although Hardy's case refutes, in any case does not make it unconditional, it is obvious that "\textit{A qualified environment makes up for the omissions of the textbook"}. This historical example in favor of the textbook shows that in mathematically incandescent Cambridge, an \textit{Englishman} with absolutely high mental abilities, Hardy \textit{understood mathematics} from the \textit{Frenchman} Jordan's textbook on mathematical analysis. On the other hand, during the heyday of the Moscow Mathematical School, all 5-year undergraduates and 3-year postgraduates were coming out from the Faculty of Mechanics and Mathematics of M.V.Lomonosov Moscow State University(MSU), with proper \textit{understanding Mathematics}. They were juniors with a powerful basic mathematical training without a single mandatory textbook, but with outstanding professors and three hundred seminars (a unique phenomenon of the USSR) where learners were introduced to Mathematics in their very early age, as the professor of Moscow State University Taras Pavlovich Lukashenko said to author of this article. In Kazakhstan the pioneer graduates from Moscow State University were the legendary Saduakas Bokaev and Askar Zakarevich Zakarin, post-war graduates were Kabdush Zhumagazievich Nauryzbaev, Marat Rakhimberdiev, Zhanbek Aubakirov, and now living Lyudmila Alekseeva, Nurlan Amanov, Nurlan Rakhmetov, Surgule Tanulkaev, Nurlan Zharkenov. The Kazakh position of Mathematics and Computer Science through IThMandSC is expressed in §§0-2 of this article. Further, the details of the implementation of Program A (Author's fundamentals of basic mathematical training as the Kazakh equivalent of general training in the PhD doctoral program of the USA from IThMandSC) are presented. The "Mathematical Analysis" book is made from the standpoint of self-sufficiency in providing the \textit{understanding of mathematics} without relying on a qualified environment. In the "§ 7 Introduction" the author acquaints the reader with everything developed in the \textit{understanding of mathematics} during the time of numerous conversations with many primarily outstanding mathematicians with their observations in the special mathematical environment of Moscow and personal conclusions in the process of their scientific research and reading mathematical literature of all levels. The theory of the Lebesgue measure is a separate topic of exceptional significance in the development of mathematics in 20th century and future, the mathematical understanding of which the author of these text received according to an individual program from Scientific Supervisor Pyotr Lavrentievich Ulyanov with the support of his fellow graduate student Dimitri Pechersky. According to the author, Probability theory is a specific discipline in which some points need more clarification.
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