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Suppose you want to compute the sum $\sum_{n=0}^{\infty} a_n $

You could consider the expression $f(x) = \sum_{n=0}^{\infty} e^{a_n x}$ and try to compute the coefficient of an $x^1$ term in the asymptotic series expansion of $f(x)$.

To see this in practice we can consider $\sum_{n=0}^{\infty} n $. We then consider the series $\sum_{n=0}^{\infty} e^{nx}$ which is equal to $-\frac{1}{x} + \frac{1}{2} - \frac{1}{12}x \dots $

We then make the jump and state $0 + 1 + 2 + 3 + 4 ... = -\frac{1}{12}$

We can also try a divergent geometric series that everyone knows how to sum. Suppose we wish to compute $1 + 2 + 4 + 8 + 16 ... = \sum_{n=0}^{\infty}{2^n}$

Some calculations here by user 2734364041 tell us that

$$ \sum_{n=0}^{\infty} e^{-\frac{2^n}{x}} = \frac{\log x-\gamma}{\log 2}+\frac{1}{2}+\frac{2}{\log 2}\sum_{j=1}^{\infty}\Re\Big(x^{\frac{2\pi ij}{\log 2}}\Gamma\Big(\frac{2\pi i j}{\log 2}\Big)\Big)-\sum_{j=1}^{\infty}\frac{(-1)^{j}}{j!}\frac{x^{-j}}{2^j-1} $$

It then follows that:

$$ \sum_{n=0}^{\infty} e^{2^n x } = \frac{-\log -x-\gamma}{\log 2}+\frac{1}{2}+\frac{2}{\log 2}\sum_{j=1}^{\infty}\Re\Big(x^{\frac{2\pi ij}{\log 2}}\Gamma\Big(\frac{2\pi i j}{\log 2}\Big)\Big)-\sum_{j=1}^{\infty}\frac{1}{j!}\frac{x^{j}}{2^j-1} $$

It's easy now to see that the coefficient on the "x" term is $-1$ so we conclude that $1 + 2 + 4 + 8 + 16 ... = -1$ which is consistent with the geometric series result.

The nice thing about this trick is it seems to be able to squeeze sums that are not analytically tractable in the usual sense. Suppose we wish to sum $\sum_{n=0}^{\infty} 2^{2^n}$

We want to extract the $x$ coefficient of $\sum_{n=0}^{\infty} e^{(2^{2^n}x)} $ this amounts to basically first trying to generate an asymptotic expansion of the expression

$$ \sum_{n=0}^{\infty} e^{-\frac{2^{2^n}}{x}} $$

But this is an extremely slowly growing function so we can turn our attention instead to:

$$ \sum_{n=0}^{\infty} e^{-\frac{2^{2^n}}{2^{2^x}}} = \sum_{n=0}^{\infty} e^{-2^{(2^n - 2^x )}} $$

Per Desmos this expression appears to grow like the step function $\left \lfloor x \right \rfloor $ In fact they differ by only a constant for at least 15 decimal digits (before I ended up breaking Desmos's arithmetic abilities).

So while it'll take quite a bit of effort to wrap this up I want to pre-emptively ask, is there any reason this technique cannot be used for summation of currently unsummable divergent series that consist of monotonically increasing terms? This technique appears to agree with our usual analytic continuation and it looks like it has a shot of working on any series of entirely positive terms whose terms grow sufficiently fast.

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More generally if you want to compute $\sum_{n=0}^{\infty} a_n$ then if you can find meromorphic functions $f$ and $g$ such that the first order $x^1$ term in the asymptotic expansion of $f$ isn't 0 and such that $\sum_{n=0}^{\infty} f(a_n g(x))$ has an asymptotic expansion itself, then you can assign the coefficient of the $g(x)^1$ term of the sum divided by the coefficient of the $x^1$ term in $f$ as the "divergent sum" of the series. In our case we just focus on using $f = e^x, g = x$ and looking at the $x$ term $\sum_{n=0}^{\infty} e^{a_n x}$ but as we show in the question it's usually more convenient to consider $f = e^x, g = -\frac{1}{x}$ and to look at the negative of the $\frac{1}{x}$ term of this expansion.

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    $\begingroup$ The sum $g(x=n)$ is like $e^{-2^{1+..+2^{n-1}}}+e^{-2^{2^{n-1}}}+e^{-1}+e^{-2^{2^{n-1}}}+...$. The terms before $e^{-1}$ are all $\approx 1$ while the terms after that are $\approx 0$. This explains the step-function nature of the summation. $\endgroup$
    – Alapan Das
    Commented Jun 17, 2023 at 16:42
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    $\begingroup$ Interesting! Curious whether this method can be employed to sum the divergent series of primes, see e.g.: math.stackexchange.com/questions/84642/… $\endgroup$ Commented Jun 18, 2023 at 10:20
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    $\begingroup$ maybe it could work. I can't seem to guess what the first term of the expansion should be, its some logarithmish-growing-function. I posted an answer to your question although it really should be a comment $\endgroup$ Commented Jun 18, 2023 at 17:15

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This summation method gives answers that are close to, but do not always match, traditional divergent summation methods. For instance, for constants $a,b>0$, the divergent sum $$ \sum_{n=1}^\infty (an+b) $$ evaluates to $-\frac{a}{12}-\frac{b}{2}$ by most standard divergent summation methods (such as zeta function regularization), but from the asymptotic $$ \sum_{n=1}^\infty e^{-(an+b)x} = \frac{e^{-bx}}{e^{ax}-1} = \frac{1}{ax} - \frac{b}{a} - \frac{1}{2} + (\frac{b^2}{2a} + \frac{b}{2} + \frac{a}{12}) x + \dots$$ we see that this alternate summation method gives the different answer of $-\frac{b^2}{2a} - \frac{b}{2} - \frac{a}{12}$. As observed by OP, the two answers match when $b=0$, but not in general.

This example also illustrates that this method is not a linear method of summation, in contrast to the usual methods. This seems to diminish the potential utility of this summation method for applications.

EDIT: The situation can be clarified by the Euler-Maclaurin formula. For $P(t)$ a non-constant polynomial with positive coefficients, this formula gives (after some additional work) $$ \sum_{n=1}^\infty e^{-P(n) x} = \int_0^\infty e^{-P(t) x}\ dt - \frac{1}{2} + \sum_{k=1}^\infty \frac{B_k}{k!} P^{(k-1)}(0) x + O(x^2)$$ for small positive $x$, where $B_k$ is the $k^{th}$ Bernoulli number (with the $B_1 = 1/2$ sign convention). Note that the expression $-\sum_{k=1}^\infty \frac{B_k}{k!} P^{(k-1)}(0)$ is the usual zeta function regularized value for $\sum_{n=1}^\infty P(n)$. So the discrepancy between the two methods here comes from a possible linear (in $x$) term in the integral $\int_0^\infty e^{-P(t) x}\ dt$. In the monomial case $P(t) = t^d$, this integral is proportional to $x^{-1/d}$ and so does not contribute any linear term, but for more general polynomials it could generate some (presumably unwanted) linear terms.

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    $\begingroup$ Should there be a minus sign on the zeta-regularization term of that expansion? Consider $\sum_{n=1}^{\infty} (an + b)$, as you pointed out this should sum to $-\frac{b}{2} - \frac{a}{12}$. But that sum in the Modified Euler-Maclaurin formula is equal to $\frac{B_1}{1!}(a*0 + b) + \frac{B_2}{2!}(a) = \frac{b}{2} + \frac{a}{12}$ which is the negative of what one would expect. I believe this makes sense because of the: $-f^{(2k-1)}(a)$ term here: en.wikipedia.org/wiki/… $\endgroup$ Commented Jun 19, 2023 at 22:42
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    $\begingroup$ Minus sign now added to the formula for the zeta regularization, although I believe the displayed equation already had the correct signs (note the negative sign in the exponent of $e^{-P(n) x}$). $\endgroup$
    – Terry Tao
    Commented Jun 19, 2023 at 22:47
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    $\begingroup$ I'm not sure if there is a typo in the first series expansion in your answer. When I calculate $\sum_{n=1}^{\infty} e^{-(an+b)x}$ I find it is equal to $\sum_{n=0}^{\infty} e^{-(an+b)x} - e^{-bx} = \frac{e^{-bx}}{1-e^{-ax}} - e^{-bx}$. The series expansion of this function has $\frac{a}{12} + \frac{b}{2} + \frac{b^2}{2a}$ as the $x^1$ coefficient as per wolfram as opposed to the written $\frac{b^2}{2a} + \frac{b}{2} - \frac{a}{12}$. wolfram link: wolframalpha.com/… $\endgroup$ Commented Jun 20, 2023 at 17:37
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    $\begingroup$ So it's worth noting in the original question, to evaluate $\sum_{n=1}^{\infty} a_n$ we looked at $\sum_{n=1}^{\infty} e^{a_nx}$ and took its $x^1$ term so if we instead turn our attention to $\sum_{n=1}^{\infty} e^{-a_n x}$ then we want the negative of the $x^1$ term which makes everything consistent again (except for the unwanted integral term you identified). I guess this motivates another mathoverflow question: Can taking the $x^1$ term and then subtracting the unwanted integral $x^1$ term yield a summation procedure that is indeed linear? $\endgroup$ Commented Jun 20, 2023 at 17:51
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    $\begingroup$ Sign errors fixed, thanks. Subtracting off the integral term would recover the usual divergent summation in the case of summing polynomials, by the Euler-Maclaurin calculation given above, but may well cause issues when summing other types of functions, and it does not appear obvious to me that this would lead to a linear method in general. $\endgroup$
    – Terry Tao
    Commented Jun 20, 2023 at 23:34

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