This review provides an introduction to two dimensional growth processes. Although it covers a variety processes such as diffusion limited aggregation, it is mostly devoted to a detailed presentation of stochastic Schramm-Loewner evolutions (SLE) which are Markov processes describing interfaces in 2D critical systems. It starts with an informal discussion, using numerical simulations, of various examples of 2D growth processes and their connections with statistical mechanics. SLE is then introduced and Schramm's argument mapping conformally invariant interfaces to SLE is explained. A substantial part of the review is devoted to reveal the deep connections between statistical mechanics and processes, and more specifically to the present context, between 2D critical systems and SLE. Some of the SLE remarkable properties are explained, as well as the tools for computing with SLE. This review has been written with the aim of filling the gap between the mathematical and the physical literatures on the subject. U, D = (planar) domain, ie. connected and simply connected open subset of the complex plane C. K = hulls, ie. connected compact subset of a domain D such that D \ K is a domain.
Key words: PACS: * Member of CNRSγ [0,t] = the SLE curve with tip γ t at time t. K t = the SLE hull at time t. D t ≡ D \ K t , the domain D with the hull K t removed. g t : D t → D, the SLE Loewner map and f t : D → D t , its inverse. U t = g t (γ t )= image of the tip of the SLE curve. h t : D t → D, mapping the tip of the curve back to its starting point. vir = the Virasoro algebra. g h = a group element associated to a map h. G h = representation of g h in CFT Hilbert spaces. h r;s = [(rκ − 4s) 2 − (κ − 4) 2 ]/16κ for c = 1 − 6(κ − 4) 2 /4κ. |ψ r;s = highest weight vector with dimension h r;s . ϕ δ (x) = boundary primary field with dimension δ. ψ r;s (x) = degenerate boundary primary field with dimension h r;s . Φ(z,z) = bulk primary fields.
1 IntroductionThe main subject of this report is stochastic Loewner evolutions, and its interplay with statistical mechanics and conformal field theory.Stochastic Loewner evolutions are growth processes, and as such they fall in the more general category of growth phenomena. These are ubiquitous in the physical world at many scales, from crystals to plants to dunes and larger. They can be studied in many frameworks, deterministic of probabilistic, in discrete or continuous space and time. Understanding growth is usually a very difficult task. This is true even in two dimensions, the case we concentrate on in these notes. Yet two dimensions is a highly favorable situation because it allows to make use of the power of complex analysis in one variable. In many interesting cases, the growing object in two dimensions can be seen as a domain, i.e. a contractile open subset of the Riemann sphere (the complex plane with a point at infinity added) leading to a description by so-called Loewner chains.Stochastic Loewner evolution is a simple but particularly interesting example of growth process f...