Scaling limit of critical systems in random geometry
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This thesis focusses on the properties of, and relationships between, several fundamental objects arising from critical physical models. In particular, we consider Schramm--Loewner evolutions, the Gaussian free field, Liouville quantum gravity and the Brownian continuum random tree.
We begin by considering branching diffusions in a bounded domain
Next, we move on to study Gaussian multiplicative chaos. This is the rigorous framework that allows one to make sense of random measures built from rough Gaussian fields, and again there is a parameter associated with the model in which a phase transition occurs. We prove a uniqueness and convergence result for approximations to these measures at criticality.
From this point onwards we restrict our attention to two-dimensional models. First,
we give an alternative, non-Gaussian" construction of Liouville quantum gravity (a special case of Gaussian multiplicative chaos associated with the 2-dimensional Gaussian free field), that is motivated by the theory of multiplicative cascades. We prove that the Liouville (GMC) measures associated with the Gaussian free field can be approximated using certain sequences of
local sets" of the field. This is a particularly natural construction as it is both local and conformally invariant. It includes the case of nested CLE
Finally, we consider this level line coupling more closely, now when it is between SLE