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calculus book - Mathematics and Computer Science

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1.1. THE NATURE OF MATHEMATICS 5<br />

<strong>Mathematics</strong> <strong>and</strong> <strong>Science</strong><br />

<strong>Mathematics</strong> was once called “the most exact science”. In the last two<br />

centuries, it has become fairly clear that mathematics is fundamentally<br />

not a science at all. In mathematics, the st<strong>and</strong>ard of acceptance of an<br />

idea is logical, deductive proof, about which we say more below. While<br />

mathematicians sometimes perform “experiments” , either with pencil<br />

<strong>and</strong> paper, or with an electronic computer, the results of a mathematical<br />

experiment are never regarded as definitive. In physics or chemistry,<br />

by contrast, experiment is the sole criterion for validity of an idea. 1<br />

A few minutes’ reflection should reveal the reasons for these radically<br />

differing criteria. Mathematical concepts have no relevant attributes<br />

other than those we ascribe to them, so in principle a mathematician<br />

has complete access to all properties possessed by an object.<br />

In the physical sciences, however, the objects of study are phenomena,<br />

about which information can only be obtained by experiment. No<br />

matter how many experiments are performed, scientists can never be<br />

certain that their knowledge is complete; a more refined experiment<br />

may conflict with existing results, indicating (at best) that an accepted<br />

Law of Nature needs to be modified, or (at worst) that someone has collected<br />

data carelessly. Experimental results are never mathematically<br />

exact, but are subject to “uncertainty” or “experimental error”. Thus,<br />

in the sciences we do not have the same access to our object of study<br />

that we do in mathematics. Laws of Nature—mathematical models of<br />

some aspect of reality—are virtually assured of being approximate.<br />

Despite the differing aims <strong>and</strong> st<strong>and</strong>ards of acceptance, mathematics<br />

<strong>and</strong> the physical sciences enrich each other considerably. The most<br />

obvious direction of influence is from mathematics to the sciences: The<br />

best available descriptions of natural phenomena are mathematical, <strong>and</strong><br />

are astoundingly accurate. For example, total eclipses of the sun can<br />

be predicted hundreds of years in advance, down to the time <strong>and</strong> locations<br />

at which totality will occur. Less apparent but no less important<br />

is the beneficial influence that physics, biology, <strong>and</strong> economics have<br />

had on mathematics, particularly in the 20th Century. For whatever<br />

reason, mathematics that describes natural phenomena is deeply interconnected<br />

<strong>and</strong> full of beautiful, unexpected results. Without the<br />

guiding influence of science, mathematics tends to become ingrown,<br />

specialized, <strong>and</strong> merely technical.<br />

1 This characterization of science is due to the physicist, R. P. Feynmann.

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