Simultaneous Small Noise Limit for Singularly Perturbed Slow-Fast Coupled Diffusions
Abstract: We consider a simultaneous small noise limit for a singularly perturbed coupled diffusion described by \begin{eqnarray*} dX{\varepsilon}_t &=& b(X{\varepsilon}_t, Y{\varepsilon}_t)dt + \varepsilon{\alpha}dB_t, dY{\varepsilon}_t &=& - \frac{1}{\varepsilon} \nabla_yU(X{\varepsilon}_t, Y{\varepsilon}_t)dt + \frac{s(\varepsilon)}{\sqrt{\varepsilon}} dW_t, \end{eqnarray*} where $B_t, W_t$ are independent Brownian motions on ${\mathbb R}d$ and ${\mathbb R}m$ respectively, $b : \mathbb{R}d \times \mathbb{R}m \rightarrow \mathbb{R}d$, $U : \mathbb{R}d \times \mathbb{R}m \rightarrow \mathbb{R}$ and $s :(0,\infty) \rightarrow (0,\infty)$. We impose regularity assumptions on $b$, $U$ and let $0 < \alpha < 1.$ When $s(\varepsilon)$ goes to zero slower than a prescribed rate as $\varepsilon \rightarrow 0$, we characterize all weak limit points of $X{\varepsilon}$, as $\varepsilon \rightarrow 0$, as solutions to a differential equation driven by a measurable vector field. Under an additional assumption on the behaviour of $U(x, \cdot)$ at its global minima we characterize all limit points as Filippov solutions to the differential equation.
Paper Prompts
Sign up for free to create and run prompts on this paper using GPT-5.
Top Community Prompts
Collections
Sign up for free to add this paper to one or more collections.