Brownian Gibbs property for Airy line ensembles
By Ivan Corwin, A. Hammond. 2011
259 citations recorded by the source corpus.
Consider a collection of N Brownian bridges $B_{i}:[-N,N] \to \mathbb{R} $, Bi(−N)=Bi(N)=0, 1≤i≤N, conditioned not to intersect. The edge-scaling limit of this system is obtained by taking a weak limit as N→∞ of the collection of curves scaled so that the point (0,21/2N) is fixed and space is squeezed, horizontally by a factor of N2/3 and vertically by N1/3. If a parabola is added to each of the curves of this scaling limit, an x-translation invariant process sometimes called the multi-line Airy process is obtained. We prove the existence of a version of this process (which we call the Airy line ensemble) in which the curves are almost surely everywhere continuous and non-intersecting. This process naturally arises in the study of growth processes and random matrix ensembles, as do related processes with “wanderers” and “outliers”. We formulate our results to treat these relatives as well.Note that the law of the finite collection of Brownian bridges above has the property—called the Brownian Gibbs property—of being invariant under the following action. Select an index 1≤k≤N and erase Bk on a fixed time interval (a,b)⊆(−N,N); then replace this erased curve with a new curve on (a,b) according to the law of a Brownian bridge between the two existing endpoints (a,Bk(a)) and (b,Bk(b)), conditioned to intersect neither the curve above nor the one below. We show that this property is preserved under the edge-scaling limit and thus establish that the Airy line ensemble has the Brownian Gibbs property.An immediate consequence of the Brownian Gibbs property is a confirmation of the prediction of M. Prähofer and H. Spohn that each line of the Airy line ensemble is locally absolutely continuous with respect to Brownian motion. We also obtain a proof of the long-standing conjecture of K. Johansson that the top line of the Airy line ensemble minus a parabola attains its maximum at a unique point. This establishes the asymptotic law of the transversal fluctuation of last passage percolation with geometric weights. Our probabilistic approach complements the perspective of exactly solvable systems which is often taken in studying the multi-line Airy process, and readily yields several other interesting properties of this process.
Subfields: Discrete Mathematics and Combinatorics, Mathematical Physics, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/67ab4107875ff3fa6a7a905877bbe63eb7c5bb5e
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Discrete Mathematics and Combinatorics
In Mathematical Physics
- Janosch Ortmann
- Duncan Dauvergne
- B'alint Vir'ag
- Jeremy Quastel
- Ivan Corwin
- L. Erdős
- Rostislav I. Grigorchuk
- Alexei Borodin
In Statistics and Probability
- Janosch Ortmann
- Duncan Dauvergne
- B'alint Vir'ag
- Jeremy Quastel
- Manjunath Krishnapur
- L. Erdős
- Ivan Corwin
- Alexei Borodin
Citations in the corpus
- Introduction to KPZ (2011, background): “A generalization has the sequence of x dependent eigenvalues converging to a non-intersecting line ensemble called the Airy line ensemble [40].”
- The directed landscape (2018, background): “Corwin and Hammond (2014) show the Brownian Gibbs property of the Airy line ensemble, making it more accessible to probabilistic analysis.”