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C-56 Appendix C<br />

y<br />

y<br />

y<br />

1<br />

1<br />

1<br />

-3<br />

-2 -1<br />

1 2 3<br />

x x x<br />

-3 -2 -1 1 2 3 -3 -2 -1 1 2 3<br />

-1<br />

4<br />

Graph of y= sin πx<br />

π<br />

Figure B<br />

4<br />

4<br />

4<br />

4<br />

4<br />

Graph of y= sin πx+ sin 3πx Graph of y= sin πx+ sin 3πx+ sin 5πx<br />

π 3π<br />

π 3π<br />

5π<br />

Notice that as we add more and more terms of the Fourier series, we appear<br />

to obtain better approximations to f.<br />

It turns out that equation (1) is valid for all real numbers x, that is, for each<br />

real number x, the Fourier series for f yields the function value f(x). This fact<br />

leads us to a famous formula for p discovered by Gottfried Wilhelm Leibniz<br />

(ca. 1700), who along with Isaac Newton is credited with the invention of calculus.<br />

Using equation (1), let x 12. Then for the square wave f(12) 1.<br />

And the Fourier series with x 12 becomes<br />

So<br />

-1<br />

4<br />

p sin p 2 4<br />

3p sin 3p 2 4<br />

5p sin 5p 2 4<br />

7p sin 7p 2 p<br />

4 p 4<br />

3p 4<br />

5p 4<br />

7p p 4 p a1 1 3 1 5 1 7 p b<br />

-1<br />

f a 1 2 b 4 p a1 1 3 1 5 1 7 p b<br />

or<br />

1 4 p a1 1 3 1 5 1 7 p b<br />

Multiplying each side of this last equation by p4, we obtain Leibniz’s formula<br />

for p,<br />

p<br />

4 1 1 3 1 5 1 7 p<br />

(It should be noted that Leibniz’s formula is an inefficient way to calculate p.<br />

See also Exercises 88 and 89 in Section 9.5.* Also Leibniz derived his formula<br />

by a much different method than the one just presented.)<br />

For many years Fourier series were commonly used by mathematicians,<br />

chiefly Daniel Bernoulli and Leonhard Euler, to analyze wave phenomena,<br />

among other things. But, it was not until the publication of Joseph Fourier’s classic<br />

treatise, Théorie Analytique de la Chlaleur (“The Analytic Theory of Heat”) in<br />

1822 that the series that now bear his name were used in a systematic way to solve<br />

problems in the theory and application of heat conduction. Much of the development<br />

of mathematics in the nineteenth and well into the twentieth century was driven<br />

by the desire to place Fourier’s methods on a rigorous foundation.<br />

Fourier’s idea that almost all important functions that arise in mathematical<br />

models of real-world phenomena can be represented as a superposition of<br />

*Precalculus: A Problems-Oriented Approach, 7th edition

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