The mean of Cauchy distribution doesn't exist, which can be show by the following example.
Create a random vector x1, x2, ..., x1000 of Cauchy distribution. Then calculate Yi = mean(x1 + ... + xi). At last, plot the sequence of Yi. Thus you can have a glance at how Yi goes as i increases from 1 to 1000. The following is R code.
The mean of Cauchy distribution doesn't exist, which can be show by the following example. Create a random vector x1, x2, ..., x1000 of Cauchy distribution. Then calculate Yi = mean(x1 + ... + xi). At last, plot the sequence of Yi. Thus you can have a glance at how Yi goes as i increases from 1 to 1000. The following is R code.
Running the function and the plot looks this this.
There is no trend of convergence.