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Introduction
Teaching mathematics and training mathematicians are two fundamental
responsibilities of a Mathematics Department. The problem of determining
what to teach, how to teach and how much mathematics to teach to students
is not a mathematical problem with a unique solution. It is a controversial
issue, in which many mathematicians, scientists and engineers do not agree
with one another. Different people hold different views and different
expectations of mathematics. Although the aim of teaching mathematics
in general may be different from that of training mathematicians, the
two activities have an overlapping set of objectives. I will:
- Present some of the problems we encounter in our attempts to train
mathematics graduates through rigorous mathematics education;
- Illustrate the difficulties for pure mathematics to reach out to
science and engineering; and
- Discuss the steps taken by the Department to address these problems.
The Controversy in Teaching Mathematics
Many mathematicians who are consciously or unconsciously influenced
by the Bourbaki1
philosophy and tradition share the view that all mathematics students
must see the proof of every theorem at least once in their life. Although
the “axiom-theorem-proof” style in teaching mathematics has
been a popular approach in the training of mathematicians, the Russians
hold a contrasting view. The following excerpt from the article by Arnold
V.I.2,
On Teaching of Mathematics, delivered in Palais de la Découverte,
Paris, March 1997, sums up the Russian school of thought:
“When I was a first-year student at the Faculty of Mechanics
and Mathematics of the Moscow State University, the lectures on calculus
were read by the set-theoretic topologist L.A. Tumarkin, who conscientiously
retold the old classical calculus course of French type... . These facts
capture the imagination so much that (even given without any proofs)
they give a better and more correct idea of modern mathematics than
whole volumes of the Bourbaki treatise.”
The teaching of mathematics to physics and engineering students is even
more controversial. Some engineers believe that engineering students should
be taught mathematics the way mathematics students are taught. This actually
happens in top US universities, like MIT and Cornell, all French Grand
Écoles, top French universities and most Russian institutes of
higher learning. Partly a result of practical considerations, many physicists
and engineers however, do not agree with this philosophy. They are of
the view that their students need to learn advanced mathematical methods
and concepts such as Fourier transforms, partial differential equations,
operators and Hilbert spaces as early as possible. Mathematicians often
describe such mathematics syllabuses as unrealistic, too ambitious and
impossible to teach effectively. This problem is encountered in many universities
and very much so in NUS.
Many scientists, engineers and mathematicians believe that a better
understanding of physical laws can be achieved through a proper understanding
of the underlying mathematical principles. Likewise, many mathematicians
also believe that mathematics students should know enough science, engineering
or economics to which they can relate their mathematical knowledge. However,
mathematical knowledge is so diverse that not all can be related to the
physical world3.
Pure Mathematics, Applied Mathematics or Mathematics
Is there a characteristic distinction between pure and applied mathematics?
Many scientists and mathematicians are of the opinion that there is none.
Some even maintain that there is no such thing as pure mathematics or
applied mathematics. There are only mathematics and applications of mathematics.
My personal view is different. For all intents and purposes, the distinction
between pure and applied mathematics has become a reality, although there
is no boundary separating them. There are differences in philosophy, in
culture and values that distinguish a pure mathematician from an applied
mathematician. Let me illustrate this view with anecdotes and examples.
Pure mathematics is a perfect game in mountaineering according to Arnold
V.I. (1995):
“At the beginning of this century…the value of a mathematical
achievement is determined, not by its significance and usefulness as
in other sciences, but by its difficulty alone, as in mountaineering.
This principle quickly led mathematicians to break from physics and
separate from all other sciences.”
Arnold appears to be very unforgiving about this trend and blames mainly
Hilbert for what he calls the self-destructive advancement of mathematics.
However, I believe that if democracy survives, (which I hope it will),
then this trend will continue and intellectual competition will go on,
and this is only half of the aim of an enterprise that I call pure mathematics.
I personally believe also that the ability to divorce from the physical
world into a world of imagination is one of the strengths of mathematics.
We should let the mind wander where it can reach. The downside is that,
whereas in real mountaineering all players know exactly where are the
challenging peaks to climb, in mathematical mountaineering the peaks are
often created by leading groups of mathematicians.
Because they are judged purely on their intellectual strength, pure
mathematicians strive for perfection. Pure mathematics becomes a perfect
game. Results without rigorous proofs are not acceptable, gaps and holes,
no matter how tiny they are, are not tolerated. Results without conditions
are considered to the best. Anything short of necessary and sufficient
condition is usually not appreciated.
The other half of pure mathematics enterprise is to increase the body
of knowledge by developing theories without necessarily considering its
practical consequences. However, sometimes it can spring surprises, when
mathematicians, scientists or engineers twig results in pure mathematics
and shape them to fit the imperfect world. For instance, prime power factorisation
of integers, which is an activity in number theory, is the principle behind
cryptography and computer security. This is an example of an activity
in applied mathematics.
It is impossible to define mathematics, pure mathematics or applied mathematics.
There are no clear boundaries separating applied mathematics from science,
engineering and economics as there is no clear boundary separating applied
mathematics from pure mathematics. Like pure mathematics, applied mathematics
is also an enterprise that strives to increase the body of knowledge,
except that the knowledge is perceived to be relevant to science, technology
or economics.
Mathematics that can impact and create breakthroughs in science and
technology are very often not sophisticated mathematics. An example is
the Rivest-Shamir-Adleman (RSA) Cryptosystem, which has
enormous impact on the secure exchange of information. However, the underlying
mathematics was not deep, not difficult and not new. To understand why
it was a breakthrough, we need to know the problem it solved and the state-of-art
then (Tay, Y.C. 2001).
I would envisage an applied mathematician as one with multidisciplinary
background and wide knowledge in mathematics as well as in science, engineering
or economics. Here are some examples to illustrate my point.
Nobert Wiener was the father of Cybernetics, the mathematical
study of control and communication in the animal and machine. Though his
works that are permanently displayed along the Infinite Corridor at the
MIT exhibit ingenuity and richness of ideas, they are not highly regarded
by pure mathematicians.
John Tukey was well known for his work with Cooley
on the Fast Fourier Transform (FFT), which revolutionised the world of
digital image processing. FFT is extremely simple with no sophisticated
mathematical ramifications.
C.E. Shannon was an engineer as well as a mathematician
whose greatest contribution to knowledge was his mathematical theory of
communication, which is a simple mathematical problem (on hindsight) in
sampling and interpolation. Slepian (1974) wrote:
“Probably no single work in this century has more profoundly
altered man’s understanding of communication than C E Shannon’s
article, ‘A mathematical theory of communication’….”
Is Mathematics Unnatural to Ordinary Man?
I believe that if mathematics is divorced from reality and taught in
a rigorous axiom-theorem-proof tradition in lectures, there is a danger
that most students will find it unnatural. The rebellious ones will reject
it while the law-abiding ones will force themselves into a habit of drilling
to conform to the way things are usually done without real understanding.
Only a few students who have the mathematical aptitude will benefit from
such a treatment.
Moreover, the mathematics that we teach from textbooks has been beautifully
refined over the years. Very often, a good lecturer would give beautiful
and elegant lectures, without referring to any notes. This is of course
very impressive to students, but it can also create a wrong perception
about studying mathematics. Students who have gone through such a teaching
environment in all their courses may not be very different from children
who are brought up in rich and sheltered environments.
In learning mathematics, I believe that most students would enjoy learning
if they can acquire the general understanding of the ideas and principles
in the beginning. Those exceptional ones who yearn for deeper understanding,
for details and rigour are the ones who have the traits of a mathematician
and they can be given special attention like what the Department has done
in its programme to nurture special mathematics talents.
It is obvious that no one approach in teaching will be effective for
all students. I prefer a curriculum that has a few paths to cater to students
with different habits and abilities in learning.
A Way Forward
The Department of Mathematics is a relatively large department with
expertise in pure as well as applied mathematics. Traditionally, it is
strong in pure mathematics, and has established its strengths in a number
of areas, including representation of Lie groups, topology and geometry,
logic and set theory, probability, algebra and number theory. To increase
the international visibility of the Department as a whole, we will continue
to strengthen the traditional areas of mathematics. At the same time,
we are building up new emerging strategic areas that are driven by the
development of modern science, technology and economics. These new emerging
strategic areas will form an outer core of the Department to engage in
multidisciplinary activities in mathematics with science, engineering,
economics and finance. This outer core will be a bridge for the Department
of Mathematics to reach out to the other departments within the university,
as well as research institutes and the industry.
These emerging strategic areas are organised into two overlapping research
groups: Coding Theory & Information Security and Computational Biology,
and three faculty-based centres:
- Centre for Wavelets, Approximation and Information Processing (CWAIP),
which has already established an international reputation in its research
in wavelets and their applications to information processing;
- Centre for Industrial Mathematics (CIM), which focuses on scientific
computing, optimisation and industrial aspects of information security;
- Centre for Financial Engineering (CFE), which will be developed into
a self-funded centre to lead in multidisciplinary activities combining
both theory in financial mathematics and practice in financial engineering.
The CWAIP, CIM, CFE together with the two strategic research groups
of Coding Theory & Information Security and Computational Biology
will form the outer core of the Department of Mathematics. They will develop
capabilities and mathematical resources to engage in multidisciplinary
activities in teaching, research and development in areas such as high
performance computing, biomedical sciences, information processing, security
& communications, and quantitative finance.
These capabilities and resources will also be extremely useful in particular
to the teaching of mathematics to non-mathematics majors, an activity
that is important to Mathematics. It would be a paradigm shift in the
philosophy of service mathematics teaching, which would not only benefit
the students, but also help to foster multidisciplinary activities within
the University, thus providing opportunities to students and staff to
have a wider and better understanding of applications of mathematics and
its relations with other subjects.
References
Arnold, V.I. ‘On Teaching of Mathematics’.
An extended text of the address at the discussion on teaching of mathematics
in Palais de Découverte in Paris on 7 March 1997 is available at
http://pauli.uni-muenster.de/~munsteg/arnold.html.
Arnold, V.I. (1995). ‘Will Mathematics Survive?’
The Mathematical Intelligencer. Vol. 17, No. 3, pp. 6–10.
Slepian, D. (ed.). (1974). Key Papers in the Development
of Information Theory. New York: IEEE Press.
Tay, Y.C. (2001). ‘Understanding, Assessing and
Rewarding Multidisciplinary Research and Industrial Applications.’
Report prepared for the Department of Mathematics.
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Bourbaki, N. is a group of mostly French mathematicians,
which was formed in the 1930s with the aim of writing a thorough unified
account of all mathematics from a single source of axioms. The stated
purpose of its treatise is to provide a rigorous foundation for the
whole body of modern mathematics. Bourbaki had tremendous influence
on the way mathematics has been taught, not only in France, but also
in Europe and the US. <Back to
Article>
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Arnold, V.I. is a prominent
Russian mathematician who holds a joint appointment at the Steklov
Mathematical Institute in Moscow, Russia and the Université
Paris 9 in France. He is the winner of the 2001 Wolf Prize (a mathematical
award equivalent to the Nobel Prize), in recognition of his achievements
in mathematics. <Back to Article>
-
This reminds me of the
following remark by a French mathematician in response to a question
from the audience during a talk he delivered in the early seventies,
“I am a pure mathematician, and I don’t care how the mathematics
is used.” Even now I can remember vividly that being charismatic,
confident and flamboyant, he gave an excellent and impressive lecture.
That was how young mathematical enthusiasts were won. <Back
to Article>
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