This blog entry is motivated in part by a beautiful question one of you posted here. It differs from the more standard presentations of the topic of Dirichlet series in two ways. First, I will ignore the deep connections between the zeta function and the distribution of prime numbers, and instead view Dirichlet series as a kind of an analogue of the more familiar generating functions technique: there are certain kinds of calculations that Dirichlet series can handle much better. Second, even though one should study Dirichlet series by viewing them as analytic functions of a complex variable, I will forgo the complex analytic perspective, so that the discussion that follows requires only a modest background in calculus. That being said, I hope that this post will motivate you to delve deeper into number theory and learn more about the zeta function.

The *Riemann zeta function* is defined by
\[
\zeta(s) = \sum_{n=1}^\infty \frac{1}{n^s}.
\]
It is easy to check (for instance, using the integral test) that this series converges for any real number \(s>1\) (and diverges for \(s\leq 1\)). This function is the most famous example of a *Dirichlet series*, where a general Dirichlet series is a function of the form
\[
f(s) = \sum_{n=1}^\infty \frac{a_n}{n^s}
\]
where \(\{a_n\}\) is a fixed series of real (or complex) numbers. Of course, in order to treat this \(f(s)\) as an actual function (rather than a formal infinite sum), one has to restrict the domain to those values of \(s\) for which the series converges.

We look at a few examples before discussing the general theory.

1) Let's calculate the sum \(\sum_{n=1}^\infty \frac{\tau(n)}{n^2},\) where \(\tau(n)\) is the number of positive integer divisors of \(n\). Note that unlike this example, proving convergence here is easy: for instance, one can check without difficulty that \(\tau(n)=O(\sqrt{n})\) as \(n\to\infty\). It is well known that \(\sum_{n=1}^\infty\frac{1}{n^2}=\frac{\pi^2}{6}\). Form the square of the last series and regroup the terms as follows: \[ \left( \sum_{n=1}^\infty \frac{1}{n^2} \right)^2 = \sum_{d,q=1}^\infty \frac{1}{d^2 q^2} = \sum_{n=1}^\infty \left(\sum_{dq=n}\frac{1}{n^2}\right) \] Again, in this case, rearranging terms in any way you like is easy to justify because we are dealing with absolutely convergent series. Note that the definition of \(\tau(n)\) can be rewritten as \(\tau(n)=\sum_{dq=n}1\) (the sum ranges over integers \(d,q\geq 1\) whose product is \(n\)), so we obtain \(\sum_{n=1}^\infty \frac{\tau(n)}{n^2} = \zeta(2)^2 = \frac{\pi^4}{36}\).

2) Our second example is the sum \(\sum_{n=1}^\infty \frac{(-1)^{n-1}}{n}\). It can be easily calculated using generating functions; however, I will explain the Dirichlet series approach because it brings up several important ideas that are useful in many other contexts. This series is easily shown to converge using the alternating series test. However, it does not converge absolutely. This suggests considering the function \(f(s)=\sum_{n=1}^\infty\frac{(-1)^{n-1}}{n^s}\); for any \(s>1\), the convergence

isabsolute. A general result about Dirichlet series (see below) guarantees thatbecausethe initial series converges, we have \(\sum_{n=1}^\infty \frac{(-1)^{n-1}}{n} = \lim\limits_{s\downarrow 1} f(s)\), where the limit is taken as \(s\) approaches \(1\)from above. To get a handle on \(f(s)\), we notice that it looks very similar to the zeta function, except that the signs in the sum that defines \(f(s)\) alternate (the terms corresponding to even \(n\) appear with a minus sign). The Euler product formula (see below) naturally suggests that we consider the product (where \(p\) ranges over prime numbers) \[ \left( 1 - \frac{1}{2^s} - \frac{1}{4^s} - \frac{1}{8^s} - \ldots \right) \cdot \prod_{p\ \mbox{odd}} \left( 1 + \frac{1}{p^s} + \frac{1}{p^{2s}} + \ldots \right). \] Formally expanding the last product, we find that it is equal to \(f(s)\), and the validity of this formal calculation for \(s>1\) follows from the fact that all infinite series and products we have here are absolutely convergent when \(s>1\). The last formula makes it easy to relate \(f(s)\) to the zeta function itself: using the identity \[ 1 - \frac{1}{2^s} - \frac{1}{4^s} - \ldots = 2 - \left( 1 + \frac{1}{2^s} + \frac{1}{4^s} + \ldots \right) = 2 - \frac{1}{1-2^{-s}} \] and Euler's formula for \(\zeta(s)\), we get \(f(s) = (1 - 2^{1-s})\cdot\zeta(s)\). It is known that \(\lim\limits_{s\to 1}(s-1)\cdot\zeta(s)=1\), which means that \[ \sum_{n=1}^\infty \frac{(-1)^{n-1}}{n} = \lim\limits_{s\downarrow 1}f(s) = \lim\limits_{s\downarrow 1} \frac{1 - 2^{1-s}}{s-1}. \] It is an easy exercise to calculate the last limit and obtain the answer \(\log(2)\), which of course is also the value you would have gotten from the generating functions technique.

3) Using Dirichlet series for example #2 is clearly an overkill. However, exactly the same method can be used to handle this example, for which there is no easy approach using generating functions (to the best of my knowledge). The calculation I will sketch is very similar to the one found by one of you. As a first step, we verify that the series \[ S = \sum_{n=0}^\infty \frac{(-1)^n \, \tau(2n+1)}{2n+1} \] converges (conditionally); this of course follows from this other calculation, but a somewhat more direct proof of convergence, which does not compute the value of the sum but can be generalized to many other examples, can be found here. Thus if we define \[ f(s) = \sum_{n=0}^\infty \frac{(-1)^n \, \tau(2n+1)}{(2n+1)^s} \] (this series converges absolutely for all \(s>1\) by the integral test), then the sum of the series \(S\) is equal to the limit \(\lim\limits_{s\downarrow 1}f(s)\). By analogy with the first example we looked at, it is easy to check that if \(s>1\), then \(f(s)=L_1(s)^2\), where \[ L_1(s) = \sum_{n=0}^\infty \frac{(-1)^n}{(2n+1)^s}. \] Now if we plug \(s=1\) into the last formula, we get a series that converges conditionally by the alternating series test. Hence \[ \lim\limits_{s\downarrow 1} L_1(s) = \sum_{n=0}^\infty \frac{(-1)^n}{2n+1} = \frac{\pi}{4}, \] where the last equality follows by considering the Taylor series for \(\arctan(x)\). Therefore \(\lim\limits_{s\downarrow 1}f(s)=\frac{\pi^2}{16}\). (I "cheated" a bit, because I did not explain how one could have figured out that \(L_1(s)^2\) is the right thing to consider. The motivation for this step again comes from the Euler product formula, and is explained here.)

The methods used in the three examples given above can be combined and generalized in various ways to handle a large variety of situations. This week's Understanding Mathematics discussion invites you to try out several related problems to test your mastery of this material.

Now I will summarize the general principles used in all such situations.

**Euler product formula.**Whenever you deal with a Dirichlet series whose terms depend on divisibility properties of integers (such as example #3, which involves the divisor counting function), you can bet that the Euler product formula will be of use. Here is a quick derivation of this formula. By the fundamental theorem of arithmetic, every natural number \(n\) can be written uniquely as a product \(p_1^{k_1}\ldots p_r^{k_r}\), where \(p_i\) are pairwise distinct primes and \(k_i\geq 1\) are integers (we allow the "empty product" \(r=0\), which corresponds to \(n=1\)). We then have \(n^{-s} = p_1^{-sk_1}\ldots p_r^{-sk_r}\), which leads to the expansion \[ \zeta(s) = \sum_{n=1}^\infty \frac{1}{n^s} = \prod_p \left( 1 + \frac{1}{p^s} + \frac{1}{p^{2s}} + \ldots \right), \] where the product on the right ranges over all primes \(p\). As always, this sort of formal manipulation is valid when \(s>1\) because then we have absolute convergence for all infinite sums and products in sight. Recognizing a geometric series on the right hand side of the last equality, we obtain \(\zeta(s) = \prod_p (1-p^{-s})^{-1}\), which is Euler's expansion. As we saw in example #2, it is useful to consider variations of this idea. For example, think about what will happen if you omit one particular prime from Euler's product formula. What will the corresponding Dirichlet series look like?**Passing to the limit.**It is worth remembering the following general result, which we already used in a few places. Consider a general Dirichlet series \[ f(s) = \sum_{n=1}^\infty \frac{a_n}{n^s}, \] and suppose that it converges for one particular value \(s=s_0\in\mathbb{R}\). Then the series converges for*every*\(s\geq s_0\), and, moreover, defines a*continuous*function on the interval \([s_0,+\infty)\). In particular, \(f(s_0)=\lim\limits_{s\downarrow s_0}f(s)\).**Multiplying Dirichlet series.**The idea of relating a complicated Dirichlet series to the square of a simpler one, which we used in examples #1 and #3, can be obviously generalized to the product of two Dirichlet series: if \[ f(s) = \sum_{n=1}^\infty \frac{a_n}{n^s} \ \ \ \mbox{and}\ \ \ g(s) = \sum_{n=1}^\infty \frac{b_n}{n^s}, \] then by formally expanding and regrouping these terms, we obtain \[ f(s) \cdot g(s) = \sum_{n=1}^\infty \left( \sum_{dq=n} a_d b_q \right) \cdot n^{-s}, \] where the inner sum ranges over all integers \(d,q\geq 1\) with \(dq=n\). Once again, this formal manipulation is always valid provided that the series defining \(f(s)\) and \(g(s)\) converge absolutely.**Testing for convergence.**Testing a Dirichlet series for absolute convergence is typically quite straightforward, and in most of the cases you are likely to encounter in practice, it can be done using the integral test. Here is one statement that is easy to remember and prove: if a sequence of real (or complex) numbers \(\{a_n\}\) satisfies the asymptotic bound \(|a_n|=O(n^r)\) as \(n\to\infty\), for some fixed \(r\in\mathbb{R}\), then the corresponding Dirichlet series converges absolutely for all \(s>r+1\) (it may or may not converge for \(s=r+1\)). Testing a Dirichlet series for conditional convergence could be very difficult. You should always first try one of the general tests for conditional convergence (such as the alternating series test), but if those do not apply, you may have to do quite a bit of work using things like summation by parts and more delicate asymptotic estimates. A fairly general pattern for using this method can be extracted from this example.**Some special values.**Two formulas worth remembering off the top of your head are these: \(\lim\limits_{s\to 1}(s-1)\cdot\zeta(s)=1\) and \(\zeta(2)=\frac{\pi^2}{6}\). Quite a bit more is known about the values of the zeta function at certain points.

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## Comments

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TopNewestLoved this post!

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I love this post!

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using this function you can prove that 1+2+3+4+.... all the way to infinite equals -1/12

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Hmm.. but I think it is the Ramanujan Summation of the Series. As this is a divergent series, it has no well defined value.

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U r wrong!

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