this can be a quasi-KL divergence ("quasi" in the perception which the square root from the Fisher data may be the kernel of an incorrect distribution). due to minus indicator, we must minimise this in order to maximise the KL divergence with which we started off. The bare minimum worth of the final equation takes place in which The 2 distributions