Conditional Entropy and Mutual Information in Random Cascading Processes

The conditional entropy and mutual information of two neighboring generations of division are proposed to use as characteristics in analyzing the random cascading mechanism in multiparticle production. It is shown that hese characteristics are effective in examining the exsistence and property of self-similar cascading.