Equidistribution from approximate self-similar rescaling
Establish that every probability measure on \(\mathbb{R}^d\) whose expanding translates \(\eta_\xi^t\) are close to the approximating measures \(\eta_\xi^{t,n}\) defined in equation (\ref{close-to}) satisfies single and double equidistribution, and consequently Khintchine dichotomy.
References
So we make the following conjecture:
Suppose a probablity measure \xi on Rd satisfies that \eta_{\xi}t is close to' some \eta_\xi^{t,n} as described inclose-to`. Then such \xi would satisfy (double) equidistribution and thus Khintchine dichotomy.
close-to:
What is the genuine condition needed for measures from repellers on $Rd$ to establish equidistribution as in \cref{main: single}? What about Khintchine dichotomy?
Is the Khintchine dichotomy true for self-similar measures on general nondegenerate manifolds? If not, what condition would suffice?