Given two dependent random variables X and Y, it is interesting to ask how much information is present in both of them. Mutual information is the typical measure of "common" information; however, it is not useful in all situations. Wyner's common information is another such measure which shows up in many situations.
In this talk we will see the the definition, some properties, and two operational interpretations of Wyner's common information.
