数学远不止成绩、考试和方法
数学远不止成绩、考试和方法
当你掌握了数字,实际上你将不再阅读数字,就像你在阅读书籍时不再阅读单词一样。你将阅读意义。
(哈罗德·吉宁,《管理》)
作为本科生学习数学时,往往过分强调平均成绩和考试,而这些考试通常更注重技巧和理论的记忆,而非实际的概念理解,或智力和直觉的思考。这样做有充分的理由;在真正能在数学上有所成就之前,必须练习一定量的理论和技术(就像在能够熟练演奏乐器之前需要一定量的练习一样)。无论你拥有多少天生的数学才能和直觉;如果你无法计算多重积分、操作矩阵方程、理解抽象定义或正确设置归纳证明,那么你很可能无法有效地处理高等数学。
然而,当你过渡到研究生阶段时,你会发现数学的学习(更重要的是实践)达到了更高的层次,这需要你更多的智力能力,而不仅仅是记忆和学习的能力,或复制现有论证或已解决问题的能力。这通常需要放弃(或至少修改)许多本科学习习惯;与仅仅关注考试等人工基准相比,更需要通过自我驱动的学习和实验来提升自己的理解力。
同样值得注意的是,即使是个人基准,比如你记忆的定理和证明的数量,或者解决资格考试问题的速度,也不应在个人学习中过度强调,以免牺牲真正学习基础数学的机会,否则可能会陷入古德哈特定律的陷阱。这些指标可以作为对你学科理解的粗略评估,但它们不应成为学习的主要目标。
在本科及以下阶段,人们主要学习的是高度发展和完善的数学理论,这些理论大多是在几十年前甚至几个世纪前完成的,而在研究生阶段,你将开始接触到前沿的、“活生生的”内容——这可能与你作为本科生所习惯的内容有很大不同(也更有趣)!(但你不能跳过本科阶段——你必须先学会走路,然后才能尝试飞行。)
另请参阅”数学远不止严谨和证明”。
我还推荐基思·德夫林的观点文章”在数学中你必须记住;在其他科目中你可以思考”。(注意:文章的标题实际上与德夫林(和我)的观点相反;请阅读文章了解解释。)
There’s more to mathematics than grades and exams and methods
When you have mastered numbers, you will in fact no longer be reading numbers, any more than you read words when reading books. You will be reading meanings.
(Harold Geneen, “Managing”)
When learning mathematics as an undergraduate student, there is often a heavy emphasis on grade averages, and on exams which often emphasize memorisation of techniques and theory than on actual conceptual understanding, or on either intellectual or intuitive thought. There are good reasons for this; there is a certain amount of theory and technique that must be practiced before one can really get anywhere in mathematics (much as there is a certain amount of drill required before one can play a musical instrument well). It doesn’t matter how much innate mathematical talent and intuition you have; if you are unable to, say, compute a multidimensional integral, manipulate matrix equations, understand abstract definitions, or correctly set up a proof by induction, then it is unlikely that you will be able to work effectively with higher mathematics.
However, as you transition to graduate school you will see that there is a higher level of learning (and more importantly, doing) mathematics, which requires more of your intellectual faculties than merely the ability to memorise and study, or to copy an existing argument or worked example. This often necessitates that one discards (or at least revises) many undergraduate study habits; there is a much greater need for self-motivated study and experimentation to advance your own understanding, than to simply focus on artificial benchmarks such as examinations.
It is also worth noting that even one’s own personal benchmarks, such as the number of theorems and proofs from you have memorised, or how quickly one can solve qualifying exam problems, should also not be overemphasised in one’s personal study at the expense of actually learning the underlying mathematics, lest one fall prey to Goodhart’s law. Such metrics can be useful as a rough assessment of your understanding of a subject, but they should not become the primary goal of one’s study.
Whereas at the undergraduate level and below one is mostly taught highly developed and polished theories of mathematics, which were mostly worked out decades or even centuries ago, at the graduate level you will begin to see the cutting-edge, “live” stuff – and it may be significantly different (and more fun) to what you are used to as an undergraduate! (But you can’t skip the undergraduate step – you have to learn to walk before attempting to fly.)
See also “there’s more to mathematics than rigour and proofs”.
I also recommend Keith Devlin’s opinion piece “In Math You Have to Remember; In Other Subjects You Can Think About it”. (Note: the title of the piece is actually the opposite of Devlin’s (and my) opinion; read the article for the explanation.)