Back to search results

PhD studentship on Large Deviation Rate Function and Variance for Inhomogeneous Corner Growth Processes

University of Sussex - Department of Mathematics

Qualification Type: PhD
Location: Falmer
Funding for: UK Students, EU Students, International Students
Funding amount: Not Specified
Hours: Full Time
Placed On: 10th June 2019
Closes: 31st August 2019

We invite applications for this studentship funded by the Department of Mathematics in the School of Mathematical and Physical Sciences.

 The project

Consider a two-dimensional lattice where each lattice site is given a random weight according to some background probability distribution. Given two lattice points, the maximum over all possible paths connecting them of the sum of the weights is called last passage time and it is the purpose of last passage percolation models to study the properties of the last passage time.

Models of last passage percolation are well-studied, particularly when they exhibit certain integrability properties that make them analytically tractable. The importance arises from rigorous connections between a handful of those models and random matrix theory. Limiting laws for the last passage time (the main object of study) are the same as those for the limiting laws for the largest eigenvalue of certain random matrix ensembles. These are called Tracy-Widom laws and they are synonymous with membership of the Kardar-Parisi-Zhang (KPZ) class. While it is expected that a wide range of models belong to this class, this universality result has remained so far elusive. The proposed projects delve into a model that is partially in the KPZ class but already exhibits behaviour that it is not expected or predicted by the fully integrable models.

Specific problems

  • The law of large numbers for the last passage time is cast as a variational formula, and when explicit calculations can be performed (depending on the discontinuities of the macroscopic speed function) there is strong suggestion that the variance of the model behaves in various different ways. In fact, heuristic numerical evidence suggests that the model can simultaneously have two directions with difference order for the variance. The idea is to rigorously understand this behaviour, in as general a way as we can.
  • There are several examples in which the limiting last passage constant (the scaling limit of the last passage time up to point (nx, ny)) exhibits flat regions. This aspect of the project will also involve a serious application of Monte Carlo simulations.

For more information, please see:

1) Federico Ciech and Nicos Georgiou. Last passage percolation in an exponential environment with discontinuous rates.

https://arxiv.org/abs/1808.00917

2) Nicos Georgiou, Rohini Kumar, and Timo Seppäläinen: TASEP with discontinuous jump rates.

ALEA 7: 293-318, 2010.

https://arxiv.org/abs/1003.3218

Timetable

Students are encouraged to apply, or at least send an expression of interest, as early as possible. The studentship will be filled as soon as a suitable candidate can be found.

Possible start dates are 15 September 2019, 15 January 2020, or 15 May 2020.

The last possible date that applications can be considered is 31 August 2019.

Contact details

Informal enquiries are welcome and should be directed to Dr. Nicos Georgiou n.georgiou@sussex.ac.uk (Profile page: http://www.sussex.ac.uk/profiles/329373) and Prof. Enrico Scalas, e.scalas@sussex.ac.uk (Profile page: http://www.sussex.ac.uk/profiles/330303).

How to Apply

Apply through the Sussex on-line postgraduate application system accessible from:

https://www.sussex.ac.uk/study/phd/degrees/mathematics-phd

https://www.sussex.ac.uk/study/phd/apply

In the Other Information/Funding Section state that you are applying for "PhD studentship on Large Deviation Rate Function and Variance for Inhomogeneous Corner Growth Processes with Dr Nicos Georgiou and Prof Enrico Scalas".

Finally, send an email to Dr Georgiou (n.georgiou@sussex.ac.uk) and Prof Scalas (e.scalas@sussex.ac.uk) to confirm that you have applied.

   
We value your feedback on the quality of our adverts. If you have a comment to make about the overall quality of this advert, or its categorisation then please send us your feedback
Advert information

Type / Role:

Subject Area(s):

Location(s):

PhD tools
 
 
 
 
More PhDs from University of Sussex

Show all PhDs for this organisation …

More PhDs like this
Join in and follow us

Browser Upgrade Recommended

jobs.ac.uk has been optimised for the latest browsers.

For the best user experience, we recommend viewing jobs.ac.uk on one of the following:

Google Chrome Firefox Microsoft Edge