deletions | additions       diff --git a/section_Metrics_for_trajectories_Most__.tex b/section_Metrics_for_trajectories_Most__.tex  index 0eb603c..c7764bd 100644  --- a/section_Metrics_for_trajectories_Most__.tex  +++ b/section_Metrics_for_trajectories_Most__.tex 
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Shannon introduced the entropy to be a measure of the quantity of information of a random variable.    Let $X: P \rightarrow E$ be a random variable with $E$ a discrete probability space.  The entropy of $X$ is defined as:  $ S(X) = \sum_{x in E}P_{X}(x)*log(P_{X}(x))$      \subsection{MI-based metric for trajectories}