Understand
We address the scaling limits of random curves arising from, e.g., planar lattice models, especially in rough domains.
- The well-known precompactness conditions of Kemppainen and Smirnov show that certain crossing probability estimates guarantee the subsequential weak convergence of the random curves in the topology of unparametrized curves, as well as in a topology inherited from the unit disc via conformal maps.
- We complement this result by proving that proceeding to weak limit commutes with changing topology, i.e., limits of conformal images are conformal images of limits, with minimal boundary regularity assumptions on the domains where the random curves lie.
- Such rough boundaries are especially interesting if, in the context of multiple random curves, a limit candidate is defined in terms of iterated SLE type processes with $\kappa \in (4, 8)$, and one hence needs to study (boundary-touching) curves in domains slit by other random curves.