In mathematics, a Borwein integral is an integral whose unusual properties were first presented by mathematicians David Borwein and Jonathan Borwein in 2001.[1] Borwein integrals involve products of , where the sinc function is given by for not equal to 0, and .[1][2]
These integrals are remarkable for exhibiting apparent patterns that eventually break down. The following is an example.
This pattern continues up to
At the next step the pattern fails,
In general, similar integrals have value π/2 whenever the numbers 3, 5, 7… are replaced by positive real numbers such that the sum of their reciprocals is less than 1.
In the example above, 1/3 + 1/5 + … + 1/13 < 1, but 1/3 + 1/5 + … + 1/15 > 1.
With the inclusion of the additional factor , the pattern holds up over a longer series,[3]
but
In this case, 1/3 + 1/5 + … + 1/111 < 2, but 1/3 + 1/5 + … + 1/113 > 2. The exact answer can be calculated using the general formula provided in the next section, and a representation of it is shown below. Fully expanded, this value turns into a fraction that involves two 2736 digit integers.
The reason the original and the extended series break down has been demonstrated with an intuitive mathematical explanation.[4][5] In particular, a random walk reformulation with a causality argument sheds light on the pattern breaking and opens the way for a number of generalizations.[6]
Given a sequence of nonzero real numbers, , a general formula for the integral
can be given.[1] To state the formula, one will need to consider sums involving the . In particular, if is an -tuple where each entry is , then we write , which is a kind of alternating sum of the first few , and we set , which is either . With this notation, the value for the above integral is
where
In the case when , we have .
Furthermore, if there is an such that for each we have and , which means that is the first value when the partial sum of the first elements of the sequence exceed , then for each but
The first example is the case when .
Note that if then and but , so because , we get that
which remains true if we remove any of the products, but that
which is equal to the value given previously.
/* This is a sample program to demonstrate for Computer Algebra System "maxima". */
f(n) := if n=1 then sin(x)/x else f(n-2) * (sin(x/n)/(x/n));
for n from 1 thru 15 step 2 do (
print("f(", n, ")=", f(n) ),
print("integral of f for n=", n, " is ", integrate(f(n), x, 0, inf)) );
/* This is also sample program of another problem. */
f(n) := if n=1 then sin(x)/x else f(n-2) * (sin(x/n)/(x/n)); g(n) := 2*cos(x) * f(n);
for n from 1 thru 19 step 2 do (
print("g(", n, ")=", g(n) ),
print("integral of g for n=", n, " is ", integrate(g(n), x, 0, inf)) );
An exact integration method that is efficient for evaluating Borwein-like integrals is discussed here.[7] This integration method works by reformulating integration in terms of a series of differentiations and it yields intuition into the unusual behavior of the Borwein integrals. The Integration by Differentiation method is applicable to general integrals, including Fourier and Laplace transforms. It is used in the integration engine of Maple since 2019. The Integration by Differentiation method is independent of the Feynman method that also uses differentiation to integrate.
While the integral
becomes less than when exceeds 6, it never becomes much less, and in fact Borwein and Bailey[8] have shown
where we can pull the limit out of the integral thanks to the dominated convergence theorem. Similarly, while
becomes less than when exceeds 55, we have
Furthermore, using the Weierstrass factorizations
one can show
and with a change of variables obtain[9]
and[8][10]
Schmuland[11] has given appealing probabilistic formulations of the infinite product Borwein integrals. For example, consider the random harmonic series
where one flips independent fair coins to choose the signs. This series converges almost surely, that is, with probability 1. The probability density function of the result is a well-defined function, and value of this function at 2 is close to 1/8. However, it is closer to
Schmuland's explanation is that this quantity is times
Borwein, J. M.; Bailey, D. H. (2003). Mathematics by experiment : plausible reasoning in the 21st century (1st ed.). Wellesley, MA: A K Peters. OCLC 1064987843.
Borwein, Jonathan M. (2004). Experimentation in mathematics : computational paths to discovery. David H. Bailey, Roland Girgensohn. Natick, Mass.: AK Peters. ISBN 1-56881-136-5. OCLC 53021555.