Recovering the Fragmentation Rate in the Growth-Fragmentation Equation

We consider the inverse problem of determining the fragmentation rate from noisy measurements in the growth-fragmentation equation. We use Fourier transform theory on locally compact groups to treat this problem for general fragmentation probabilities. We develop a regularization method based on spectral filtering, which allows us to deal with the inverse problem in weighted $L^2$ spaces. %Our approach regularizes the signal generated by differential operators in the frequency domain. As a result, we obtain a regularization method with error of order $O({\epsilon }^{\frac{2m}{2m+1}})$, where $\epsilon$ is the noise level and $m>0$ is the {\em a priori} regularity order of the fragmentation rate.