Are stable distributions smooth enough for each index of stability $\alpha$ between 0 and 2, and skewness parameter $\beta$ between 0 and 1?
Where there any papers that mention this?
Are stable distributions smooth enough for each index of stability $\alpha$ between 0 and 2, and skewness parameter $\beta$ between 0 and 1?
Where there any papers that mention this?
Yes, it is this can be observed from the inverse transformation of its characteristic function. Zolotarev was able to compute the probability density function as follow.
(see Lévy Processes and Infinitely Divisible Distributions-Cambridge Studies in Advanced Mathematics- p.88)
for $\alpha >1$% $$ p\left( x\right) =\frac{1}{\pi }\sum_{n=1}^{\infty }\left( -1\right) ^{n-1}% \frac{\Gamma \left( n/\alpha +1\right) }{n!}(\sin \pi n\left( 1+\beta \right) /2)x^{n-1} $$ for $x\in \mathbb{R}$ similarly there are for $\alpha <1$ and $\alpha =1$. Therefore, the pdf of a stable law is a sum series which are all polinomial. Hence, it is differntiable everywhere.