I am trying to solve for D in the following equation:
$$ \frac{M_t}{M_\infty} = 1 - \frac{32}{\pi} * \sum_{n=1}^{25}\frac{exp(-q^2_nDt/R^2)}{q_n^2} * \sum_{p=0}^{100} \frac{exp(-(2p+1)^2)\pi^2Dt/H^2)}{(2p+1)^2} $$
Where $ q_1 < q_2 < q_3 $ are positive zeroes of the Bessel J function of order 0. It is known that: $(n-\frac{1}{4})\pi < q_n < n\pi$.
My initial instincts were to take the log of both sides of the equation but that leaves me with:
$$ ln((1-\frac{M_t}{M_\infty})\frac{\pi}{32}) = ln(\sum_{n=1}^{25} \frac{exp(-q^2_nDt/R^2)}{q_n^2}) + ln(\sum_{p=0}^{100} \frac{exp(-(2p+1)^2)\pi^2Dt/H^2)}{(2p+1)^2}) $$
This is where I'm stuck. I know that I won't be able to get an exact value of D because of $q_n$ (and will ultimately get an approximation) but I am not sure how to get rid of the exp in the infinite sum as I do not believe there are log rules for addition.
And for reference, I do have an example of the data where D has been found:
$\frac{M_t}{M_\infty}$ = 0.663228201
$t$ = 1123000
$H$ = 0.003235088
$R$ = 0.001268375
$D$ = 1.13816081338369290421042023809E-13
$q_1$ = 2.404825557695772768621631879326454643124244909145967135706
$q_2$ = 5.520078110286310649596604112813027425221865478782909853757
Update:
This is currently unsolved. However, we do now know that we are going to find the approximate value of D by taking the first sum (n) to 25 terms and the second sum (p) to 100 terms. I have updated the equation to reflect this approximation.