Let's start with a few references to get an idea:
- Daniel Goldwater: Harmonic Cantilever
- Book Stacking Problem
- Block-stacking problem
- Harmonic Series and Bricks
For large $(n)$ , the finite differences $[ x(n+1) - x(n) ]$ become smaller and smaller and the quotient $[ y(n+1) - y(n) ] / [ x(n+1) - x(n) ]$ is an approximation of the differential quotient $dy/dx$ . Hence $dy/dx = y$ .
The solution of this differential equation is: $\;y = c \cdot \exp(x)$ . From the above table, we read that $c < 0$ . A kind of best fit between the stack of bricks in the Harmonic Cantilever and this function has been used to determine the constant $(c)$ . A least squares minimalization procedure has been used for this purpose: $$ \sum_{k=1}^N \left[\; y_k - c e^{x_k}\; \right]^2 = \mbox{minimum}(c) $$ Differentiating to $(c)$ and equating the result to zero then results in: $$ c = \frac{\sum_{k=1}^N y_k.e^{x_k}}{\sum_{k=1}^N e^{2\,x_k}} $$ Where $y_k = -1, -2, -3, .. , -N$ . And $x_k = 1 \, ,\, 1 + 1/2 \, ,\, 1 + 1/2 + 1/3 \, ,\, \cdots \, ,\, 1 + 1/2 + 1/3 + .. + 1/N $
Here is the program that calculates the constant:
program LS;Output (absolute value) :
function konstante : double; { Least Squared Best Fit } const N : integer = 10000000; var y : integer; x,u,v,p : double; begin x := 0; u := 0; v := 0; for y := 1 to N do begin p := exp(x); x := x + 1/y; u := u + yp; v := v + pp; end; konstante := u/v; end;
begin Writeln('|c| =',konstante); end.
|c| = 0.561459525677516The result is shown in the following picture, for 50 bricks. Two best fit exponential functions are displayed in $\color{red}{red}$ . The best fit exponential function on the right can be formed from the best fit exponential function on the left by translating the latter over a distance of two: $c\,\exp(x) \; \to \; c\,\exp(x-2)$ . So attention may be restricted to the leftmost exponential.

So far so good: we have a numerical approximation for the best fit constant in the exponential function (on the left). But the question is: can the constant $c$ in the conjectured best fit function be determined exactly ?