deletions | additions       diff --git a/However_the_previous_definitions_are__.tex b/However_the_previous_definitions_are__.tex  index 3de78c9..d5feba9 100644  --- a/However_the_previous_definitions_are__.tex  +++ b/However_the_previous_definitions_are__.tex 
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\begin{enumerate}  \item $MI(X,Y) = MI(Y,X)$ (symmetry)  \item $MI(X,X) = S(X)$  The amount of information a random variable shared with itself is simply the entropy of $X$.  \item $MI(X,Y) \leq S(X),$  $MI(X,Y) \leq S(Y) $  The amount of information shared by two random variable cannot be greater than the information contained in one of those single one random variables.  \item \[MI(X,Y) $MI(X,Y)  \geq 0 \] 0$  The uncertainty about $X$ cannot be increased by learning about $Y$.  \item $MI(X,Y) = 0$ iff $X$ and $Y$ are independent.  \end{enumerate}