I'm trying to prove that, for a $\alpha-$stable subordinator, with $\alpha\in(0,1)$ the next equality holds:$X_{t}\overset{d}{=}t^{1/\alpha}X_{1}.$
The definition of $\alpha-$stable subordinator is the next:
A stable subordinator with index $\alpha\in(0,1)$ is a subordinator with zero drift and Lévy measure $\frac{c}{x^{1+\alpha}}1_{\{(0,\infty)\}}(x)dx,$ where $c$ is a positive constant.
I've computed the Laplace transform of such subordinator,which is $E(e^{-\lambda X_{t}})=e^{-tc\Gamma(1-\alpha)\lambda^{\alpha}}.$ So, I'd like to prove that this Laplace transform is equal to the Laplace transform of $t^{1/\alpha}X_{1}$ but I don't get such equality.Prove the behind finishes the proof because of the uniqueness of Laplace transforms and distribution functions.
By other hand, I was thinking that,a subordinator is an increasing Lévy process,so It is Infinitely Divisible; then it satisfies $X_{t}\overset{d}{=}tX_{1},$ but I don't find how this equality in distribution helps to get $X_{t}\overset{d}{=}t^{1/\alpha}X_{1}.$
Any kind of help is thanked in advanced.
$$E(e^{-\lambda X_{t}})=e^{-tc\Gamma(1-\alpha)\lambda^{\alpha}}=e^{-c\Gamma(1-\alpha)(\lambda t^{1/\alpha})^{\alpha}}=E(e^{-\lambda t^{1/\alpha} X_{1}}).$$