Consider the diffusion process \begin{equation*} dX_ε(t) = \mss b(X_ε(t)) , dt + \sqrt{2, ε, \mss a(X_ε(t))} , dW_{t}, \end{equation*} on the one-dimensional torus . Here is the temperature, a Brownian motion on and , functions of class satisfying further conditions. Denote by the set of probability measures on equipped with the weak topology, and by the level two large deviation rate functional of the diffusion . We derive a full expansion of , as , expressing it as \begin{equation*} \ms I_ε = \frac{1}ε ;\ms J^{(-1)} ; +; \ms J^{(0)} ;+; \sum_{p=1}^{\widehat{\mf q}}\frac{1}{θ^{(p)}_ε};\ms J^{(p)},, \end{equation*} where , , represent rate functionals, independent of , and are the time-scales at which the Markov process exhibits a metastable behaviour.

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