Date & Time: Monday 29 October: 16:30–17:30
Venue: Carslaw Lecture Theatre 273, Sydney University
Speaker: Ivan Corwin (Columbia Univ., USA)
Hosted by the School of Mathematics and Statistics, University of Sydney.
Title: Random permutations, partitions and PDEs
We start with a seemingly innocuous question — what do large random permutations look like?
Focusing on the structure of their increasing subsequences we encounter some remarkable mathematics related to symmetric functions (e.g. Schur and Macdonald), random matrices, and stochastic PDEs.
No prior knowledge of any of this will be assumed.
Ivan Corwin is currently a Professor of Mathematics at Columbia University. His thesis included (in joint work with Amir and Quastel) the exact solution to the Kardar–Parisi–Zhang stochastic PDE. Subsequently, with Borodin, he introduced and developed the theory of Macdonald processes. Along with other collaborators, he has developed the area of Integrable Probability, including the study of stochastic vertex models and the Markov duality approach. He has also worked on discrete approximation theory to stochastic PDEs.
Corwin received his Ph.D. from the Courant Institute in 2011 and has since held positions at Microsoft Research, MIT, Institute Henri Poincaré, and now Columbia. He was a Clay Research Fellow and is presently a Packard Fellow, and a Fellow of the Institute of Mathematical Statistics. He was the recipient of the Alexanderson Award, Rollo Davidson Prize, Young Scientist Prize of the IUPAP, and gave an invited lecture at the 2014 ICM.
Anthony Henderson (anthony.henderson@sydney.edu.au)
I will be taking Ivan out to dinner on 29 October after his talk; if you would like to
join us, please email me before 22 October. — Anthony
supported by AMSI.
Date: Tuesday 30 October 2018
Venue: University of Wollongong
The workshop will contain a mixture of experimental and modelling talks. In addition to researchers working in reaction engineering the workshop will also be of interest to those with more broad interests in mathematical modelling and/or engineering mathematics.
It may be possible to squeeze in a small number of shorter presentations. If you are interested in giving a presentation please contact the organiser.
As there is no registration fee for the meeting no resources such as pens and paper will be provided!
Event: Public Lecture
Date & Time: Wednesday 31 October; 14:00–15:00
Venue: Room 801, 12 Wally's Walk, Macquarie Univ., Sydney
Speaker: Ivan Corwin (Columbia Univ., USA)
Hosted by the Department of Mathematics and Statistics, Macquarie University
Title: Beyond the Gaussian universality class
The Gaussian distribution describes fluctuations arising in many systems across mathematics, science and society. However, complex random systems such as those related to interface growth, big data, stochastic optimization, traffic/queuing flow, and stochastic PDEs often do not follow fall into this universality class. This talk will explain how these and other important types of real world systems fall into a different universality class — the so called Kardar–Parisi–Zhang class.
The talk is aimed at a very general audience and will feature almost no equations and lots of interesting phenomena, videos and examples.
Ivan Corwin is currently a Professor of Mathematics at Columbia University. His thesis included (in joint work with Amir and Quastel) the exact solution to the Kardar–Parisi–Zhang stochastic PDE. Subsequently, with Borodin, he introduced and developed the theory of Macdonald processes. Along with other collaborators, he has developed the area of Integrable Probability, including the study of stochastic vertex models and the Markov duality approach. He has also worked on discrete approximation theory to stochastic PDEs.
Corwin received his Ph.D. from the Courant Institute in 2011 and has since held positions at Microsoft Research, MIT, Institute Henri Poincaré, and now Columbia. He was a Clay Research Fellow and is presently a Packard Fellow, and a Fellow of the Institute of Mathematical Statistics. He was the recipient of the Alexanderson Award, Rollo Davidson Prize, Young Scientist Prize of the IUPAP, and gave an invited lecture at the 2014 ICM.
is free, but spaces are limited
so please Register by Tuesday, October 30.
Map: for location details see M20 on the campus map.
Parking: Parking fees apply. Tickets can be purchased from vending machines in car parks (accepts coins and credit cards). W4, X3 and X4 car parks are designated for casual parking.
supported by AMSI.
Event: Public Lecture
Date & Time: Thursday 1 November; 14:00–15:00
Venue: Seminar Room 1.33, Building 145, Science Road, ANU, Canberra
Speaker: Ivan Corwin (Columbia Univ., USA)
Hosted by the Mathematical Sciences Institute, Australian National University.
Title: Beyond the Gaussian universality class
The Gaussian distribution describes fluctuations arising in many systems across mathematics, science and society. However, complex random systems such as those related to interface growth, big data, stochastic optimization, traffic/queuing flow, and stochastic PDEs often do not follow fall into this universality class. This talk will explain how these and other important types of real world systems fall into a different universality class — the so called Kardar–Parisi–Zhang class.
The talk is aimed at a very general audience and will feature almost no equations and lots of interesting phenomena, videos and examples.
Ivan Corwin is currently a Professor of Mathematics at Columbia University. His thesis included (in joint work with Amir and Quastel) the exact solution to the Kardar–Parisi–Zhang stochastic PDE. Subsequently, with Borodin, he introduced and developed the theory of Macdonald processes. Along with other collaborators, he has developed the area of Integrable Probability, including the study of stochastic vertex models and the Markov duality approach. He has also worked on discrete approximation theory to stochastic PDEs.
Corwin received his Ph.D. from the Courant Institute in 2011 and has since held positions at Microsoft Research, MIT, Institute Henri Poincaré, and now Columbia. He was a Clay Research Fellow and is presently a Packard Fellow, and a Fellow of the Institute of Mathematical Statistics. He was the recipient of the Alexanderson Award, Rollo Davidson Prize, Young Scientist Prize of the IUPAP, and gave an invited lecture at the 2014 ICM.
Jan Rozendaal (jan.rozendaal@anu.edu.au)
Vladimir Mangazeev (vladimir.mangazeev@anu.edu.au)
supported by AMSI.
The Moyal Medal Committee Macquarie University invites you to attend the presentation of the 2018 Moyal Medal to Professor Noel Cressie from the School of Mathematics and Applied Statistics, University of Wollongong.
Speaker: Prof Noel Cressie (Univ. Wollongong)
Date & Time: Thursday 1 November 2018 at 7:00–8:30pm
Place: Level 8, 12 Wally's Walk, Macquarie University
Title: Statistics, Mathematics and Rocket Science
To attend please register here.
Abstract: Too much carbon dioxide (CO2) in the atmosphere is a threat to long-term sustainability of Earth’s ecosystem. Atmospheric CO2 is a leading greenhouse gas that has increased to levels not seen since the middle Pliocene (approximately 3.6 million years ago). One of the National Aeronautics and Space Administration’s (NASA) remote-sensing missions is the Orbiting Carbon Observatory-2, whose principal science objective is to estimate the global geographic distribution of CO2 sources and sinks at Earth’s surface, through time. This starts with the measurement of radiances from individual soundings and moves on to retrievals of the atmospheric state, including CO2-related variables. This is an ill-posed inverse problem for which regularisation is needed. From these spatio-temporal data, gap-filled and de-noised maps and their uncertainties are made. With the aid of a model of atmospheric transport, CO2 fluxes can be estimated. Uncertainty quantification using hierarchical statistical models is critical at all stages.
Noel Cressie is Director of the Centre for Environmental Informatics in the National Institute for Applied Statistics Research Australia (NIASRA) and Distinguished Professor at the University of Wollongong. He is also Adjunct Professor at the University of Missouri, USA. Cressie received his BSc (Hons) from the University of Western Australia and an MA and PhD from Princeton University, USA. His past appointments have been at The Flinders University of South Australia, Iowa State University, and The Ohio State University. He has published four books and more than 250 papers in peer-reviewed outlets, in areas that include spatial and spatio-temporal statistics, empirical-Bayesian and Bayesian methods, and remote sensing. Cressie is an elected Fellow of the Australian Academy of Science, the American Statistical Association, the Institute of Mathematical Statistics, and the Spatial Econometrics Association.
The lecture will follow the presentation of the Medal, followed by a complimentary light supper.
Contact: For more information, please contact Christine Hale (christine.hale@mq.edu.au) or tel: (02) 9850 8947.
Map: for location details see M20 on the campus map.
Parking: Parking fees apply. Tickets can be purchased from vending machines in car parks (accepts coins and credit cards). W4, X3 and X4 car parks are designated for casual parking.
Date & Time: Friday 2 November; 12:00–13:00
Venue: Room 120, Building HS1, La Trobe Univ., Bundoora
Speaker: Ivan Corwin (Columbia Univ., USA)
Hosted by the School of Mathematics and Statistics, La Trobe University.
Title: Diffusion in random media
In 1827 the botanist Robert Brown observed the seemingly irregular motion of pollen immersed in water. A mathematical model for this Brownian motion was proposed later by Einstein in 1905. Since then, it is well validated that motion in quickly mixing random media is well modeled by Brownian motion. In this talk we consider what happens when many particles are released in the same media. Do they behave like independent Brownian motions or does their common environment affect their collective behavior? We will see that the extreme value statistics (i.e., largest displacement) is heavily influenced by the random media and in a one-dimensional model, relying upon some surprising exact solvability techniques from quantum integrable systems, we will relate these statistics to random matrix theory and the Kardar–Parisi–Zhang universality class for random growth models.
Absolutely no background is required or expected for this talk.
Corwin received his Ph.D. from the Courant Institute in 2011 and has since held positions at Microsoft Research, MIT, Institute Henri Poincaré, and now Columbia. He was a Clay Research Fellow and is presently a Packard Fellow, and a Fellow of the Institute of Mathematical Statistics. He was the recipient of the Alexanderson Award, Rollo Davidson Prize, Young Scientist Prize of the IUPAP, and gave an invited lecture at the 2014 ICM.
Andriy Olenko (A.Olenko@latrobe.edu.au)
supported by AMSI.
Date & Time: Monday 5 November: 15:00–16:00
Venue: Room 340, 9 Rainforest Walk, School of Mathematics, Monash Univ.
Speaker: Ivan Corwin (Columbia Univ., USA)
hosted by the School of Mathematical Sciences, Monash University
Title: Random permutations, partitions and PDEs
We start with a seemingly innocuous question — what do large random permutations look like?
Focusing on the structure of their increasing subsequences we encounter some remarkable mathematics related to symmetric functions (e.g. Schur and Macdonald), random matrices, and stochastic PDEs.
No prior knowledge of any of this will be assumed.
Ivan Corwin is currently a Professor of Mathematics at Columbia University. His thesis included (in joint work with Amir and Quastel) the exact solution to the Kardar–Parisi–Zhang stochastic PDE. Subsequently, with Borodin, he introduced and developed the theory of Macdonald processes. Along with other collaborators, he has developed the area of Integrable Probability, including the study of stochastic vertex models and the Markov duality approach. He has also worked on discrete approximation theory to stochastic PDEs.
Corwin received his Ph.D. from the Courant Institute in 2011 and has since held positions at Microsoft Research, MIT, Institute Henri Poincaré, and now Columbia. He was a Clay Research Fellow and is presently a Packard Fellow, and a Fellow of the Institute of Mathematical Statistics. He was the recipient of the Alexanderson Award, Rollo Davidson Prize, Young Scientist Prize of the IUPAP, and gave an invited lecture at the 2014 ICM.
Jane Gao (jane.gao@monash.edu)
supported by AMSI.
Date & Time: Tuesday 6 November; 12:00–13:00
Venue: Russell Love Theatre, Peter Hall Building, Univ. Melbourne
Speaker: Ivan Corwin (Columbia Univ., USA)
Hosted by the School of Mathematics and Statistics, The University of Melbourne.
Title: Diffusion in random media
In 1827 the botanist Robert Brown observed the seemingly irregular motion of pollen immersed in water. A mathematical model for this Brownian motion was proposed later by Einstein in 1905. Since then, it is well validated that motion in quickly mixing random media is well modeled by Brownian motion. In this talk we consider what happens when many particles are released in the same media. Do they behave like independent Brownian motions or does their common environment affect their collective behavior? We will see that the extreme value statistics (i.e., largest displacement) is heavily influenced by the random media and in a one-dimensional model, relying upon some surprising exact solvability techniques from quantum integrable systems, we will relate these statistics to random matrix theory and the Kardar–Parisi–Zhang universality class for random growth models.
Absolutely no background is required or expected for this talk.
Corwin received his Ph.D. from the Courant Institute in 2011 and has since held positions at Microsoft Research, MIT, Institute Henri Poincaré, and now Columbia. He was a Clay Research Fellow and is presently a Packard Fellow, and a Fellow of the Institute of Mathematical Statistics. He was the recipient of the Alexanderson Award, Rollo Davidson Prize, Young Scientist Prize of the IUPAP, and gave an invited lecture at the 2014 ICM.
Michael Wheeler (wheelerm@unimelb.edu.au)
supported by AMSI.
Event: Public Lecture
Date & Time: Wednesday 7 November; 17:00–18:00
Venue: Evan Williams Theatre, Peter Hall Building, Univ. Melbourne
Speaker: Ivan Corwin (Columbia Univ., USA)
Hosted by the School of Mathematics and Statistics, The University of Melbourne.
Title: Beyond the Gaussian universality class
The Gaussian distribution describes fluctuations arising in many systems across mathematics, science and society. However, complex random systems such as those related to interface growth, big data, stochastic optimization, traffic/queuing flow, and stochastic PDEs often do not follow fall into this universality class. This talk will explain how these and other important types of real world systems fall into a different universality class — the so called Kardar–Parisi–Zhang class.
The talk is aimed at a very general audience and will feature almost no equations and lots of interesting phenomena, videos and examples.
Corwin received his Ph.D. from the Courant Institute in 2011 and has since held positions at Microsoft Research, MIT, Institute Henri Poincaré, and now Columbia. He was a Clay Research Fellow and is presently a Packard Fellow, and a Fellow of the Institute of Mathematical Statistics. He was the recipient of the Alexanderson Award, Rollo Davidson Prize, Young Scientist Prize of the IUPAP, and gave an invited lecture at the 2014 ICM.
Michael Wheeler (wheelerm@unimelb.edu.au)
supported by AMSI.
Venue: University of Newcastle, NewSpace (City Campus)
The University of Newcastle's Priority Research Centre for Computer-Assisted Research Mathematics and its Applications is organising a series of workshops as part of its Special Semester on Mathematical Thinking.
Registration and submission of contributed talks is now invited for 3 conferences in Newcastle this November:
A workshop on the teaching of mathematical concepts using diagrammatic reasoning in higher education. Part of the CARMA Special Semester on Mathematical Thinking.
Dates: Friday 9 – Sunday 11 November
Venue: University of Newcastle, X703 NewSpace (City Campus)
This workshop will investigate the potential for diagrammatic reasoning to be used to enhance the teaching of mathematics and abstract concepts across a range of disciplines (of business and economics, physics, engineering, and computer science) at the University of Newcastle. It will investigate the potential of diagrammatic reasoning as a novel pedagogical tool to enhance the learning of diverse student cohorts. Specifically, we will consider how it could afford a way forward for students for whom normal academic languages are a barrier, but who are more naturally pre-disposed towards visual and processual forms of understanding. Relevant diagrams to be considered include ologs and string diagrams, but could also include operads, props, and opetopes, which could be applied to engineering circuits, computational trees and networks, graphical linear algebra, and signal flow graphs.
For further information, please visit the workshop website.
Date & Time: Friday 9 November: 11:00–12:00
Venue: Room 222, Building #7 (Parnell Building), Univ. Queensland
Speaker: Ivan Corwin (Columbia Univ., USA)
Hosted by the Department of Mathematics and Physics, University of Queensland.
Title: Beyond the Gaussian universality class
The Gaussian distribution describes fluctuations arising in many systems across mathematics, science and society. However, complex random systems such as those related to interface growth, big data, stochastic optimization, traffic/queuing flow, and stochastic PDEs often do not follow fall into this universality class. This talk will explain how these and other important types of real world systems fall into a different universality class — the so called Kardar–Parisi–Zhang class.
The talk is aimed at a very general audience and will feature almost no equations and lots of interesting phenomena, videos and examples.
Ivan Corwin is currently a Professor of Mathematics at Columbia University. His thesis included (in joint work with Amir and Quastel) the exact solution to the Kardar–Parisi–Zhang stochastic PDE. Subsequently, with Borodin, he introduced and developed the theory of Macdonald processes. Along with other collaborators, he has developed the area of Integrable Probability, including the study of stochastic vertex models and the Markov duality approach. He has also worked on discrete approximation theory to stochastic PDEs.
Corwin received his Ph.D. from the Courant Institute in 2011 and has since held positions at Microsoft Research, MIT, Institute Henri Poincaré, and now Columbia. He was a Clay Research Fellow and is presently a Packard Fellow, and a Fellow of the Institute of Mathematical Statistics. He was the recipient of the Alexanderson Award, Rollo Davidson Prize, Young Scientist Prize of the IUPAP, and gave an invited lecture at the 2014 ICM.
Tony Roberts (apr@maths.uq.edu.au)
supported by AMSI.
Date & Time: Friday 9 November: 14:00–15:00
Venue: Room 222, Building #7 (Parnell Building), Univ. Queensland
Speaker: Ivan Corwin (Columbia Univ., USA)
Hosted by the Department of Mathematics and Physics, University of Queensland.
Title: Random permutations, partitions and PDEs
We start with a seemingly innocuous question — what do large random permutations look like?
Focusing on the structure of their increasing subsequences we encounter some remarkable mathematics related to symmetric functions (e.g. Schur and Macdonald), random matrices, and stochastic PDEs.
No prior knowledge of any of this will be assumed.
Ivan Corwin is currently a Professor of Mathematics at Columbia University. His thesis included (in joint work with Amir and Quastel) the exact solution to the Kardar–Parisi–Zhang stochastic PDE. Subsequently, with Borodin, he introduced and developed the theory of Macdonald processes. Along with other collaborators, he has developed the area of Integrable Probability, including the study of stochastic vertex models and the Markov duality approach. He has also worked on discrete approximation theory to stochastic PDEs.
Corwin received his Ph.D. from the Courant Institute in 2011 and has since held positions at Microsoft Research, MIT, Institute Henri Poincaré, and now Columbia. He was a Clay Research Fellow and is presently a Packard Fellow, and a Fellow of the Institute of Mathematical Statistics. He was the recipient of the Alexanderson Award, Rollo Davidson Prize, Young Scientist Prize of the IUPAP, and gave an invited lecture at the 2014 ICM.
Tony Roberts (apr@maths.uq.edu.au)
supported by AMSI.
Dates: Tuesday 13 November
Venue: University of Newcastle, X602 NewSpace (City Campus)
Hosted by The University of Newcastle's Priority Research Centre for Computer-Assisted Research Mathematics and its Applications, this workshop is part of its Special Semester on Mathematical Thinking.
For further information, please visit the workshop website.
This workshop is part of the CARMA Special Semester on Mathematical Thinking.
Dates: Wednesday 14 – Friday 16 November
Venue: University of Newcastle, X803 NewSpace (City Campus)
Mathematics underpins much of the scientific and technological progress of modernity. This workshop will bring together experts to study the conceptual and neurological basis of mathematical thought and creativity, different aspects of which are associated with brain structures evolved for different purposes. We will explore links to machine learning, which plays a critical role as a model for cognition, as well as cognitive psychology, neuroscience, philosophy and pure and applied mathematics.
At this workshop, we will target discussions at forming new interdisciplinary collaborations and formulating concrete research questions with a view towards major grant applications in the ARC Discovery and linkage programmes, among others. Expected benefits arising from such collaborations include machine learning improvements, computer assistance for mathematical research and other high-level cognitive tasks, and improved insight into mathematics education at all levels.
Themes represented at this workshop include:
For further information, please visit the workshop website.