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Mathematics, Analysis, and Engineering (2)
Below is a guest Blog by Professor Xiren Cao of the Science and Technology University of Hong Kong. This article further clarifies and articulates the relationship between mathematics and engineering. I thank him for this timely piece.
Prof. Ho’s article “Applied Mathematics and Theoretical Engineering” brought up an important question about what is the relation between mathematics and engineering.
This question was asked quite often by young researchers, and there is a considerable amount of confusion in the research community. While Prof. Ho’s article gave a comprehensive answer to this question, I may add some words from my own experience. (Over the years, my research style has been influenced by Prof. Ho greatly.)
First, I always distinguish between “mathematics” and “analysis”. You may do research in engineering without deep mathematics, but you cannot do research in any subject without analysis. Analysis is a logical derivation/interpretation of the problem you are trying to solve (at a level Prof. Ho calls “conceptually rigorous”). Mathematics is a tool that helps you to express your analysis clearly, logically, and concisely. In most engineering problems, you are not developing mathematics (in a sense of pure mathematics); your work may be of a great value in engineering (such as the Kalman filter), but of no significant contribution from a pure mathematician’s point of view. Mathematics is important because the process of expressing your ideas at a proper level of mathematics helps you to clarify your ideas and to find logical flaws, if any, in your analysis. Because of this, one cannot live without mathematics (children study math from grade 1).
Second, in engineering, innovative ideas, intuitions, and motivations are always the most important thing. Purely working on mathematical expressions may extend the existing results and/or lead to more beautiful forms (those are important jobs!), but without conceptual breakthrough, it may hardly leads to new methodologies in engineering.
Third, do not over use mathematics. That is, if an engineering problem can be described clear with a lower level mathematics, do not use more complicated ones.
As Prof. Ho said, ``A working knowledge of the language of mathematics so that one is capable of accessing mathematical literature is useful regardless whether or not you are application or theory oriented (just like English is useful for S&T work regardless of your mother tongue).” Nowadays, many engineering papers are written in mathematical languages and without some fundamental understanding of it one can even hardly read these engineering papers. However, when you read such papers, try to translate back to intuitions and engineering ideas behind the heavy mathematics. Otherwise, you may not be able to remember the content of such a paper afterwards. Another reason that you may need to learn some (never enough) mathematics is because one day you may need to use some tools in mathematics to analyze your engineering problems but it may not be in your brain. I always read some new (to me) mathematics books or chapters every few years to enhance my knowledge. I suggest young researchers do the same if possible.