Convergence of scaled asymptotically-free self-interacting random walks to Brownian motion perturbed at extrema
Abstract
We consider a family of one-dimensional self interacting walks whose dynamics characterized by a monotone weight function w on N \0\. The weight function takes the form w(n) = (1 + 2p Bn-p + O(n-1-))-1, for some B ∈ R , >0 and p∈ (0,1]. Our main model parameter is p, and for p∈ (0,1/2] we show the convergence of the SIRW to Brownian motion perturbed at extrema under the diffusive scaling. This completes the functional limit theorem in [8] for the asymptotically free case and extends the result to the full parameter range (0,1]. Our method depends on the generalized Ray-Knight theorems ([T96], [KMP23]) for the rescaled local times of this walk. The directed edge local times, described by the branching-like processes, are used to analyze the total drift experienced by the walker.
Turn this paper into a lesson
ArcXiv compiles a structured reading guide from this paper's metadata: plain-English importance, contributions, prerequisite concepts, which sections to read first, flashcards, and a quiz. Grounded in the abstract, never invented.