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Let H（Y ǀ X = x） be the [[Shannon Entropy|entropy]] of the discrete random variable <math>Y</math> conditioned on the discrete random variable <math>X</math> taking a certain value <math>x</math>. Denote the support sets of <math>X</math> and <math>Y</math> by <math>\mathcal X</math> and <math>\mathcal Y</math>. Let <math>Y</math> have [[probability mass function]] <math>p_Y{(y)}</math>. The unconditional entropy of <math>Y</math> is calculated as H（Y）:=E[I（Y）, i.e.

Let H（Y ǀ X = x） be the [[Shannon Entropy|entropy]] of the discrete random variable <math>Y</math> conditioned on the discrete random variable <math>X</math> taking a certain value <math>x</math>. Denote the support sets of <math>X</math> and <math>Y</math> by <math>\mathcal X</math> and <math>\mathcal Y</math>. Let <math>Y</math> have [[probability mass function]] <math>p_Y{(y)}</math>. The unconditional entropy of <math>Y</math> is calculated as H（Y）:=E[I（Y）, i.e.

设H（Y ǀ X = x）为离散随机变量<math>Y</math>的熵，条件是离散随机变量<math>X</math>取一定值<math>x</math>。

设H（Y ǀ X = x）为离散随机变量<math>Y</math>的熵，条件是离散随机变量<math>X</math>取一定值<math>x</math>。用<math>\mathcal X</math>和<math>\mathcal Y</math>表示<math>X</math>和<math>Y</math>的支撑集。令<math>Y</math>具有概率质量函数<math>p_Y{(y)}</math>。<math>Y</math>的无条件熵计算为H（Y）:=E[I（Y）。

 

用<math>\mathcal X</math>和<math>\mathcal Y</math>表示<math>X</math>和<math>Y</math>的支撑集。令<math>Y</math>具有概率质量函数<math>p_Y{(y)}</math>。

 

<math>Y</math>的无条件熵计算为H（Y）:=E[I（Y）。