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When
considering the contributions of mathematicians of the past
to the modern world, it is useful to distinguish between the
contributions which help us to understand mathematics, and those
which help us to use it to solve practical problems. In some
cases, of course, individuals contributed to both aspects of
the development of the subject.
The
very basic idea of a real number is not as simple as one might
think, and mathematics itself would not be possible without
a rigorous account of what a real
number is. This was given by Dedekind
and his work ensures that we can use the concept of a real number
with confidence, for example, knowing that there are no 'holes'
in the real number line, and understanding exactly the nature
of the square
root of two. One soon comes across the idea of 'infinity',
and the idea that there may be more than one type of infinity.
Amongst
other work, Cantor
put such ideas on firm foundations on which future progress
could be made.
With
the real numbers understood, one remaining question concerns
the idea of the square root of -1, or indeed any negative
number. This problem rears its head again in a different
guise through the Fundamental Theorem of Algebra,
which says that every polynomial equation of degree n has n
roots. But what about z^3-1=0? There is a root at z=1, but to
find the other two (and to resolve the question on square roots)
we need the concept of complex numbers. Complex
numbers are much more than a mathematical curiosity; they
find direct use particularly in engineering and physics, but
are liable to crop up anywhere! Complex numbers were investigated
particularly be De
Moivre and Cauchy
(who developed the ideas of the theory of a function of a complex
variable), and Euler
who discovered the connection with trigonometric
functions.
Numbers
continue to fascinate, and the study of numbers has become a
major part of mathematics. Contributors to the field include
Fermat,
Chebyshev,
Hilbert,
Lagrange
and Ramanujan.
It is interesting to note that one distinguished mathematician
said in 1940 that there were no uses for number theory. In fact,
it forms the basis for modern coding and cryptography, and thus
for secure data transfer over the internet etc., and is very
useful indeed. (One of the companies sponsoring the Mathematics
@ Work initiative is one of the leaders in this field, and so
number theory is impinging on you too!)
Moving
on from numbers to ideas of space and objects in space and their
properties, in other words, we come to geometry.
Many
significant advances in geometry were made in very early times,
when the framework of mathematics was also first considered,
leading to the concept of proof. Geometry, or at least geometrical
awareness, is in everyday use by just about everyone, with some
more complex ideas exploited by designers of cars, gardens,
theatrical scenery, clothing, computer games and graphics, domestic
equipment and so on. A major development came when Descartes
developed analytical, or co-ordinate
geometry, meaning that algebraic techniques could be applied
to solve geometric problems. So, for example, a circle and a
line are each described by an equation: if they intersect then
the points of intersection are found as the solution of a set
of simultaneous
equations. Thus, in more recent times, analytical geometry
has also provided the means by which computers could be used
to solve geometrical problems, and so aid (amongst others) designers
in various fields.
Newton
and Liebnitz
independently discovered differential
calculus, and thus gave us the framework for the description
of motion. Newton
also showed how forces cause motion, and his ideas remain the
foundation of mechanics. Using ideas developed by him, we can
predict the motion of the planets, the behaviour of a car as
it is driven, or the motion of a wobbly bridge. More recently
Einstein
realised that `Newtonian' mechanics was not giving accurate
predictions for particles which moved at speeds near to that
of light. To account for this he developed his theory of relativity
and this is at the heart of modern physics. His famous equation
E=mc^2, relating energy to mass and the speed of light gave
us the first step on the road to the development of nuclear
power.
Calculus
is a very basic tool in many forms of applied mathematics, not
just those involving the motion of bodies. One example is the
important field of optimisation, where the optimum (cheapest,
least energy-consuming etc) solution or strategy is sought.
Many people have contributed to its development and application,
including all three Bernoulli
brothers, Euler,
Gauss,
Green,
Hilbert,
L'Hopital,
Lagrange,
Laplace,
Poincare
and Taylor.
Building
on an understanding of the motion of bodies or particles, and
with a knowledge of calculus, we might move on to the motion
of fluids. Being able to predict such motion is necessary for
the design of car engines, aircraft and rockets...and golf-balls.
It is also necessary to be able to calculate the flow of blood
in an artery or of the air in a lung.
Boole,
who gave his name to Boolean algebra, provided the necessary
structure for building logic circuits, which are at the heart
of modern electronic equipment. Whilst Fourier
devised the Fourier Series technique for solving problems in
heat conduction, the ideas provide the essential mathematical
tools to support modern electronic communication. For example,
using ideas from Fourier analysis, it is possible to understand
how a radio is tuned, and how many telephone conversations can
be simultaneously transmitted through a single link.
The
world is full of uncertainty, and one way of coping with this
depends on the idea of probability.
Fermat
and Pascal,
followed by Jacques
Bernoulli and De
Moivre, all contributed to our understanding of this important
subject. Probability theory is now a highly developed subject
with many sophisticated applications in fields from medicine
to finance, engineering, marketing insurance and so on. In addition,
we all use the basic ideas to support our own decisions in the
face of uncertainty, and bookmakers earn a handsome living from
them!
Nigel
C Steele, Professor of Mathematics, School of Mathematical and
Information Sciences, Coventry University
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