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第58行： − 这里当取值<math>y_i</math>时，<math>\operatorname{I}(y_i)</math>是结果<math>Y</math>的信息内容。类似地以<math>X</math>为条件的<math>Y</math>的熵，当值为<math>x</math>时，可以通过条件期望来定义：+
→Motivation
where <math>\operatorname{I}(y_i)</math> is the [[information content]] of the [[Outcome (probability)|outcome]] of <math>Y</math> taking the value <math>y_i</math>. The entropy of <math>Y</math> conditioned on <math>X</math> taking the value <math>x</math> is defined analogously by [[conditional expectation]]:
where <math>\operatorname{I}(y_i)</math> is the [[information content]] of the [[Outcome (probability)|outcome]] of <math>Y</math> taking the value <math>y_i</math>. The entropy of <math>Y</math> conditioned on <math>X</math> taking the value <math>x</math> is defined analogously by [[conditional expectation]]:
这里当取值为<math>y_i</math>时，<math>\operatorname{I}(y_i)</math>是其结果<math>Y</math>的信息内容。类似地以<math>X</math>为条件的<math>Y</math>的熵，当值为<math>x</math>时，也可以通过条件期望来定义：