31
31.1 Area of a Circle
We have defined
Indeed, since we have defined area rigorously with integration, we can now make sense of the area of the circle as long as we can express the unit circle as a function. While this is not directly possible, we can take the implicit equation
Now we compute this integral with our newfound integration techniques (substitution), and show it equals the half-period of our trigonometric functions in natural units.
Theorem 31.1
Proof. By subsitution, we see that the following two integrals are equal
By the Pythagorean identity,
The first of these integrals could be immediately evaluated as the integral of a constant, but the second requires us to do another substitution. If
We recall again that by definition
But,
Now, we are ready to assemble the pieces. Because
This single result ties together so many branches of analysis, and proves a worthy capstone calculation for the course. However after all this work we shouldn’t let ourselves be satisfied too quickly! Now that we have related the area of a circle to trigonometry, we can hope to use other techniques from analysis to accurately calculate its value.
31.2 Calculating ’s Value
31.2.1 From the Area Integral
Having proven that
Using the evenly spaced partition
Simplifying gives an explicit limit of sums to compute:
Example 31.1 The following limit of infinite sums converges to
This series is difficult to compute because it involves square roots: irrational quantities that we will also have to approximate in order to get a good approximate value for
31.2.2 From Inverse Trigonometry
One may use the inverse trigonometric functions to get integral representations of
This integral is improper as the integrand becomes unbounded in a neighborhood of
Remark 31.1. If we were not bothered by the square roots for our computation-focused goals, one could easily replace the problematic integral above with something avoiding its problems. For instance, since
But this is much worse in terms of square roots: if you write out a Riemann sum here it’ll be a sum of nested roots, and still more complicated than the estimate from the area integral.
The same trouble plagues the cosine function, but things get much nicer with the tangent. We know that
Corollary 31.1
This function is integrable (its continuous), so we can compute its value as the limit of any shrinking sequence of Riemann sums. Below is an explicit example, given for evenly spaced partitions sampled at their right endpoints.
Example 31.2 The following infinite series converges to
This sequence of sums is much better to work with: each term is a rational number, so it can be computed exactly, giving a sequence of better and better rational approximations to
This is great - these sums are trivial to do on a computer (I did these in a simple python for loop) and get us an accurate value for
31.2.3 From Series
Power series are much easier to deal with than the limits arising from integrals: to get a better approximation of a power series you keep the terms you have, and just add more whereas to compute better approximate Riemann sums you need to start all over from scratch! Thus its certainly advantageous from a computational perspective to look for series converging to
A particularly nice example is given by the arctangent, whose series we computed in Theorem 30.9 to be
Proposition 31.1
Proof. The arctangent function is continuous on
For
This series converges at
Putting this all together yields the claim:
This formula is exceedingly beautiful, and worthy of writing out without summation notation to take in
However, way out here at the endpoint the series converges very slowly. Using a computer to do a little experimenting:
Like the Riemann sum approach, we needed a thousand terms to get the first two decimals right. This problem only occurs as we are evaluating a series at the very boundary of its interval of convergence: we know via comparison that power series converge exponentially quickly within their radius of convergence, so to get better behavior we should seek a point inside
Proposition 31.2
Proof. Let
Thus,
Now, both
Theorem 31.2
This series converges very quickly, as the exponents
Using up until
This is truly a marvelous machine we have built - conjuring directly from the lowly geometric series an efficient formula for
Example 31.3 Want to be even more clever? In 1796 John Machin showed the following identity:
Note: If you wish to prove this, probably the easiest way is to notice that
This allows you to compute π to five or six decimals without much trouble. Just using the first five terms in the series gives