deletions | additions       diff --git a/However_the_previous_definitions_are__.tex b/However_the_previous_definitions_are__.tex  index 52969a0..330fa29 100644  --- a/However_the_previous_definitions_are__.tex  +++ b/However_the_previous_definitions_are__.tex 
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\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 \[MI(X,Y) \leq S(X),  MI(X,Y) S(X),\]  \[MI(X,Y)  \leq S(Y) \] 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 \[MI(X,Y) \meq \geq  0 \] The uncertainty about $X$ cannot be increased by learning about $Y$.  \item \[MI(X,Y) = 0 iff X and y are independent.\]  \end{enumerate}