This work introduces a construction of conformal processes that combines the
theory of branching processes with chordal Loewner evolution. The main novelty lies
in the choice of driving measure for the Loewner evolution: given a finite genealogical
tree
,
we choose a driving measure for the Loewner evolution that is supported on
a system of particles that evolves by Dyson Brownian motion at inverse temperature
between birth and death events.
When
,
the driving measure degenerates to a system of particles that evolves
through Coulombic repulsion between branching events. In this
limit, the following graph embedding theorem is established: When
is equipped with a
prescribed set of angles,
the hull of the Loewner evolution is an embedding of
into the upper half-plane with trivalent edges that meet at angles
at the image of
each vertex
.
We also study the scaling limit when
is fixed
and
is
a binary Galton–Watson process that converges to a continuous state branching
process. We treat both the unconditioned case (when the Galton–Watson
process converges to the Feller diffusion) and the conditioned case (when the
Galton–Watson tree converges to the continuum random tree). In each case,
we characterize the scaling limit of the driving measure as a superprocess.
In the unconditioned case, the scaling limit is the free probability analog of
the Dawson–Watanabe superprocess that we term the Dyson superprocess.
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