Upper bound for variance of finite mixtures of power exponential distributions

Both variance and entropy are commonly used measures for uncertainty. There exists many cases where variance is infinite and entropy is finite. In this note, we derive an upper bound illustrating the relationship between variance and entropy of random variables having a special class of distributions. We also derive an upper bound for kth absolute central moment proportional to entropy power for a special class of distributions.