<p>Dynamical systems are often subject to forcing or changes in their governing parameters and it is of interest to study</p><p>how this affects their statistical properties. A prominent real-life example of this class of problems is the investigation</p><p>of climate response to perturbations. In this respect, it is crucial to determine what the linear response of a system is</p><p>as a quantification of sensitivity. Alongside previous work, here we use the transfer operator formalism to study the</p><p>response and sensitivity of a dynamical system undergoing perturbations. By projecting the transfer operator onto a</p><p>suitable finite dimensional vector space, one is able to obtain matrix representations which determine finite Markov</p><p>processes. Further, using perturbation theory for Markov matrices, it is possible to determine the linear and nonlinear</p><p>response of the system given a prescribed forcing. Here, we suggest a methodology which puts the scope on the</p><p>evolution law of densities (the Liouville/Fokker-Planck equation), allowing to effectively calculate the sensitivity and</p><p>response of two representative dynamical systems.</p>