Random motion is ubiquitous, whether it is a purely mathematical process or a process in physics, biochemistry and other fields. Modeling methods for random motion under different initial conditions have become the most basic and widely used strategies. Our team of engineers has the experience to quickly understand and adapt to problems involving randomly moving particles in a variety of complex environments and to provide efficient solutions to these problems.

By analyzing the behavior of random moving particles in the target situation, we capture their statistical characteristics effectively by mathematical modeling techniques. The complex partial differential equations derived from this equation not only successfully predict the radial mass distribution of ancient galaxy clusters, but also the predicted results are in perfect agreement with the observed data in three orders of magnitude, demonstrating the accuracy and reliability of our model.