Top Global Course Special Lectures by Prof. Jeroen S.W. Lamb (Kyoto University / Imperial College London) will take place as follows:
 Course Title
 Top Global Course Special Lectures 2
 Date & Time
 April 10  14, 2017

Monday, April 10 13:0015:00
Tuesday, April 11, 13:0015:00
Wednesday, April 12 10:0012:00
Thursday, April 13 10:0012:00
Friday, April 14, 13:0015:00  Venue
 127 Conference room, Faculty of Science Bldg. #3, Kyoto University
 Title
 Special Lecture on Random Dynamical Systems
 Abstract
 Dynamical systems describe the timeevolution of variables that characterize the state of a system. In deterministic autonomous dynamical systems, the corresponding equations of motion are independent of time and constant, but in random dynamical systems the equations of motion explicitly depend on a stochastic process or random variable.
 The development of the field of deterministic dynamical systems – including “chaos” theory  has been one of the scientific revolutions of the twentieth century, originating with the pioneering insights of Poincaré, providing a geometric qualitative understanding of dynamical processes, aiding and complementing analytical and quantitative viewpoints.
 Motivated by increasing demands on modelling from scientists, during the last decade there has been an increasing interest in timedependent and in particular random dynamical systems, often described by stochastic differential equations. Despite the obvious scientific importance of the field, with applications ranging from physics and engineering to biomedical and social sciences, a geometric qualitative theory for random dynamical systems is still in its infancy.
 This short course consists of an introduction to random dynamical systems, from a predominantly geometric point of view. The aim is to introduce basic concepts in the context of simple examples. We will discuss some elementary results and highlight open questions.
 The course is aimed at graduate students in the exact sciences. Some elementary background in dynamical systems and probability theory will be useful, but is not a strict prerequisite.
 Outline:
 1. Barnsley’s “chaos game” as a random dynamical system.
 2. Random circle maps: Lyapunov exponents and synchronisation.
 3. A dynamical systems perspective of stochastic ordinary differential equations.
 4. Setvalued dynamical systems describing the aggregate behaviour of random dynamical systems with bounded noise.
 5. A random dynamical systems perspective of critical transitions and their early warning signals.
 Language
 English
 Note
 This series of lectures will be videorecorded and made available online.
Please note that anyone in the front rows of the room can be captured by a video camera.