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[Lecture Hall] Infinitely Close to the Truth——Academician Lecture Hall Lin Qun’s Special Session

Published: April 22, 2015 Edit:

Infinitely Close to the Truth——Academician Lecture Hall Lin Qun’s Special Session

w88 casino News Network (Reporter Ye Xiaoyun Photography Wu Jiaquan)Maroon woolen vest, mild Fujian accent,2015Year4month2219:00, Lin Qun, an academician of the Chinese Academy of Sciences and mathematician, stepped onto the podium in the lecture hall of the library, and the lecture "From Zhuangzi's Philosophy to the Calculus Drama" began.This event is hosted by the Academic Practice Department of the Student Union.

Academician Lin Qun

As soon as the lecture started, Academician Lin Qun stepped down from the podium and asked the audience whether they were "afraid of mathematics" or "hated mathematics" and asked everyone to sit forward. "Those who are afraid of mathematics should come to the front, and those who hate mathematics should come to the front." He frankly admitted that he was particularly afraid of mathematics, but he also liked mathematics. Lin Qun hopes that after tonight’s lecture, all the audience will stop “hating” mathematics and understand mathematics better.

Lin Qun believes that the problem discussed in calculus is the calculation and processing of infinite data, while Newton-Leibniz’s formula converts the addition of infinite numbers into the subtraction of two numbers. This idea fully embodies the thinking of mathematics: from the shallower to the deeper, simplifying the complex, and when encountering complex problems, solve the easiest part first. He compared the idea of ​​​​mathematical induction to the spread of a virus, which "first takes effect in a small range, and then allows it to spread and ferment." Similar to economics' pursuit of low cost and high returns, mathematicians are actually businessmen. When studying mathematics, they hope to "exchange a small case for a big theory."

Lecture site

"One foot of a stick, half of it is taken every day, and it will last for eternity..." In Lin Qun's view, Zhuangzi's philosophy is the simplest and most obvious embodiment of infinite arithmetic. He used Zhuangzi's philosophy as the fulcrum for teaching calculus and explained it in detail.

"Scientific knowledge is always approximate", Lin Qun presented this famous saying on the big screen and expressed it as "relative truth/Absolute truth=099999999……”. He believes that just as gold is continuously purified and computer software draws inscribed regular polygons to draw a circle, "human beings' pursuit of truth cannot reach the point of purity all at once." It is a process of constantly understanding relative truth and approaching absolute truth. "0.9Cycle” theory also applies to work-based learning: “Cognition/Truth=099999999……, expression/Thoughts=099999999...", talking about his academic and scientific research life of "getting up at five o'clock and going to bed at nine o'clock", he said,"To learn is to add decimal places every day9", continuous precision and continuous improvement, "In the end, your efforts will be as good as your dreams.1”。

After the lecture, Professor Lin Qun walked into the auditorium and interacted face-to-face with the audience. Talking about the opportunity for him to embark on the research path, he said that it was geometry that made him fall in love with mathematics. "Many theorems in geometry are strange, but they are unshakable." Faced with the common mentality of college students who "like mathematics, but suffer from too many questions and the exam is too difficult", he admitted that doing the questions is practical and very necessary; however, he opposed the tactic of asking questions and believed that doing the questions was to master the rules and "return to the simplest way to do it."

Interactive communication

“No matter how we pursue it, we cannot reach the truth, so what is the purpose of our pursuit? "An audience member present expressed his confusion. Lin Qun responded that although we cannot reach the absolute truth, it is enough that we can gradually get closer. "No one is perfect, learning is endless, and everything is endless. ”

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