New mathematical proof helps to solve equations with random components

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Researcher at the Cluster of Excellence Mathematics finds an approach that can be used flexibly

Whether it’s physical phenomena, share prices or climate models - many dynamic processes in our world can be described mathematically with the aid of partial differential equations. Thanks to stochastics - an area of mathematics which deals with probabilities - this is even possible when randomness plays a role in these processes. Something researchers have been working on for some decades now are so-called stochastic partial differential equations. Working together with other researchers, Dr. Markus Tempelmayr at the Cluster of Excellence Mathematics Münster at the University of Münster has found a method which helps to solve a certain class of such equations. ...
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