Borwein Integral
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In mathematics, a Borwein integral is an
integral In mathematics, an integral assigns numbers to functions in a way that describes displacement, area, volume, and other concepts that arise by combining infinitesimal data. The process of finding integrals is called integration. Along wit ...
whose unusual properties were first presented by mathematicians
David Borwein David Borwein (March 24, 1924 – September 3, 2021) was a Lithuanian-born Canadian mathematician, known for his research in the summability theory of series and integrals. He also did work in measure theory and probability theory, number theory, a ...
and
Jonathan Borwein Jonathan Michael Borwein (20 May 1951 – 2 August 2016) was a Scottish mathematician who held an appointment as Laureate Professor of mathematics at the University of Newcastle, Australia. He was a close associate of David H. Bailey, and they ...
in 2001. Borwein integrals involve products of \operatorname(ax), where the sinc function is given by \operatorname(x)=\sin(x)/x for x not equal to 0, and \operatorname(0)=1. These integrals are remarkable for exhibiting apparent patterns that eventually break down. The following is an example. : \begin & \int_0^\infty \frac \, dx= \frac \pi 2 \\
0pt PT, Pt, or pt may refer to: Arts and entertainment * ''P.T.'' (video game), acronym for ''Playable Teaser'', a short video game released to promote the cancelled video game ''Silent Hills'' * Porcupine Tree, a British progressive rock group ...
& \int_0^\infty \frac\frac \, dx = \frac \pi 2 \\
0pt PT, Pt, or pt may refer to: Arts and entertainment * ''P.T.'' (video game), acronym for ''Playable Teaser'', a short video game released to promote the cancelled video game ''Silent Hills'' * Porcupine Tree, a British progressive rock group ...
& \int_0^\infty \frac\frac\frac \, dx = \frac \pi 2 \end This pattern continues up to :\int_0^\infty \frac\frac\cdots\frac \, dx = \frac \pi 2. At the next step the pattern fails, : \begin \int_0^\infty \frac\frac\cdots\frac \, dx &= \frac~\pi \\ pt &= \frac \pi 2 - \frac~\pi \\ pt &\approx \frac \pi 2 - 2.31\times 10^. \end In general, similar integrals have value whenever the numbers are replaced by positive real numbers such that the sum of their reciprocals is less than 1. In the example above, but With the inclusion of the additional factor 2\cos(x), the pattern holds up over a longer series, :\int_0^\infty 2 \cos(x) \frac\frac\cdots\frac \, dx = \frac \pi 2, but :\int_0^\infty 2 \cos(x) \frac\frac\cdots\frac\frac \, dx \approx \frac \pi 2 - 2.3324 \times 10^. In this case, but . 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. : \frac\left(1-\frac\right) The reason the original and the extended series break down has been demonstrated with an intuitive mathematical explanation. In particular, a
random walk In mathematics, a random walk is a random process that describes a path that consists of a succession of random steps on some mathematical space. An elementary example of a random walk is the random walk on the integer number line \mathbb Z ...
reformulation with a causality argument sheds light on the pattern breaking and opens the way for a number of generalizations.


General formula

Given a sequence of nonzero real numbers, a_0, a_1, a_2,\ldots, a general formula for the integral : \int_0^\infty \prod_^n \frac \, dx can be given. To state the formula, one will need to consider sums involving the a_k. In particular, if \gamma = (\gamma_1,\gamma_2,\ldots,\gamma_n)\in\^n is an n-tuple where each entry is \pm 1, then we write b_=a_0+\gamma_1a_1+\gamma_2a_2+\cdots+\gamma_na_n, which is a kind of alternating sum of the first few a_k, and we set \varepsilon_\gamma=\gamma_1\gamma_2\cdots\gamma_n, which is either \pm 1. With this notation, the value for the above integral is : \int_0^\infty \prod_^n \frac \, dx = \frac C_n where : C_n = \frac 1 \sum_ \varepsilon_\gamma b_\gamma^n \sgn(b_\gamma) In the case when a_0 > , a_1, +, a_2, +\cdots+, a_n, , we have C_n=1 . Furthermore, if there is an n such that for each k=0,\ldots,n-1 we have 0 and a_1+a_2+\cdots+a_ < a_0 < a_1+a_2+\cdots+a_+a_n , which means that n is the first value when the partial sum of the first n elements of the sequence exceed a_0, then C_k=1 for each k=0,\ldots,n-1 but : C_n = 1 - \frac The first example is the case when a_k=\frac . Note that if n=7 then a_7=\frac and \frac+\frac+\frac+\frac+\frac+\frac\approx 0.955 but \frac+\frac+\frac+\frac+\frac+\frac+\frac\approx 1.02 , so because a_0=1 , we get that : \int_0^\infty \frac x \frac\cdots\frac \, dx = \frac \pi 2 which remains true if we remove any of the products, but that : \begin & \int_0^\infty \frac x \frac\cdots\frac \, dx \\ pt= & \frac\left(1-\frac\right), \end 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)) );


Method to solve Borwein integrals

An exact integration method that is efficient for evaluating Borwein-like integrals is discussed here. 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.


Infinite products

While the integral : \begin \int_0^\infty \prod_^n \frac \, dx \end becomes less than \frac when n exceeds 6, it never becomes much less, and in fact Borwein and Bailey have shown : \begin \int_0^\infty \prod_^\infty \frac \, dx &= \int_0^\infty \lim_ \prod_^n \frac \, dx \\ pt&= \lim_ \int_0^\infty \prod_^n \frac \, dx \\ pt &\approx \frac - 0.0000352 \end where we can pull the limit out of the integral thanks to the
dominated convergence theorem In measure theory, Lebesgue's dominated convergence theorem provides sufficient conditions under which almost everywhere convergence of a sequence of functions implies convergence in the ''L''1 norm. Its power and utility are two of the primary t ...
. Similarly, while : \int_0^\infty 2 \cos x \prod_^n \frac \, dx becomes less than \frac when n exceeds 55, we have : \int_0^\infty 2 \cos x \prod_^n\frac \, dx \approx \frac - 2.9629 \cdot 10^ Furthermore, using the Weierstrass factorizations : \frac = \prod_^\infty \left( 1 - \frac \right) \qquad \cos x = \prod_^\infty \left( 1 - \frac \right) one can show : \prod_^\infty \frac = \prod_^\infty \cos\left(\frac\right) and with a change of variables obtain : \int_0^\infty \prod_^\infty \cos\left(\frac \right) \, d x = \frac \int_0^\infty \prod_^\infty \frac \,d x \approx \frac - 0.0000176 and : \int_0^\infty \cos(2x) \prod_^\infty \cos\left(\frac \right) \, d x = \frac \int_0^\infty \cos(x) \prod_^\infty \frac \,d x \approx \frac - 7.4073 \cdot 10^


Probabilistic formulation

Schmuland has given appealing probabilistic formulations of the infinite product Borwein integrals. For example, consider the random harmonic series : \pm 1 \pm \frac \pm \frac \pm \frac \pm \frac \pm \cdots where one flips independent fair coins to choose the signs. This series converges
almost surely In probability theory, an event is said to happen almost surely (sometimes abbreviated as a.s.) if it happens with probability 1 (or Lebesgue measure 1). In other words, the set of possible exceptions may be non-empty, but it has probability 0 ...
, that is, with probability 1. The
probability density function In probability theory, a probability density function (PDF), or density of a continuous random variable, is a function whose value at any given sample (or point) in the sample space (the set of possible values taken by the random variable) ca ...
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 : 0.124999999999999999999999999999999999999999764 \ldots Schmuland's explanation is that this quantity is 1/\pi times : \int_0^\infty \cos(2x) \prod_^\infty \cos\left(\frac \right) \, d x \approx \frac - 7.4073 \cdot 10^


References


External links

* {{MathWorld, title=Infinite Cosine Product Integral, urlname=InfiniteCosineProductIntegral, author=Weisstein, Eric W., access-date=10 January 2023 Integrals