Past seminars

Yana Belopolskaya, 9th of April

Sirius University of Science and Technology

Title: Probabilistic approaches to nonlinear forward and backward  PDEs and neural networks

Abstract: We consider diffusion processes associated with forward and backward Cauchy problem for various types of nonlinear parabolic equations. First, we consider the backward Cauchy problem and construct the required processes as solutions of certain forward-backward stochastic differential equations. Given FBSDEs we state conditions that allow to prove the existence and uniqueness of their solutions and state connections with the original problem. To construct approximate numerical solution of the FBSDE we use the possibility to reduce the FBSDE to a correspondent stochastic control problem. Finally, to solve this stochastic control problem we apply the technique of neural networks. This approach allows to deal with PDEs in spaces of large dimensions.

Next we consider the forward Cauchy problem for a nonlinear PDE and discuss some possibilities to reduce it to the backward Cauchy problem in order to apply the previous results to it. As an example we apply the above approach to construction of an optimal portfolio in the Heston model. 

Igor Potemkin, 26th of March

Lomonosov Moscow State University

Title: Polymeric Microgels: Permeability and the "Softness" of Colloidal Particles Account for a Range of Unique Properties.

Abstract: Polymeric microgels are typically understood as "soft" colloidal particles with a mesh structure, swollen in a solvent. Their size ranges from several tens of nanometers to several microns. Polymeric microgels can serve as a soft, permeable, and responsive to external stimuli alternative to solid colloidal particles for stabilizing water-oil emulsions. The physical reason for the adsorption of microgels at the interface of two immiscible liquids is the screening of unfavorable "oil-water" contacts by adsorbed subchains. In other words, adsorption leads to a reduction in the surface tension between the liquids. The ability of adsorbed microgels to mix two immiscible liquids is demonstrated. It is also shown that in compositionally asymmetric mixtures (oil as the minor component), microgels can absorb oil, with the concentration of oil inside the microgels being orders of magnitude higher than outside. Therefore, microgels can serve as absorbers and concentrators of liquids dissolved in water. The report also discusses the peculiarities of microgel adsorption on solid and porous surfaces. 

Ekaterina Palamarchuk, 12th of March

CEMI of RAS, HSE University, Steklov Mathematical Institute of RAS

Title: Investigation of Linear Stochastic Control Systems Under Non-Ergodic Optimality Criteria

Abstract: The presentation discusses linear stochastic control systems with the assumption that their coefficients depend on time. These systems correspond to models of processes from various application areas (physical, financial-economic, engineering, etc.). In this context, the objective functionals have an integral quadratic form. An analysis of control tasks over an infinite time interval is conducted based on the use of criteria that generalize known ergodic criteria for long-term averages. Specific classes of control systems are examined as examples: systems with a variable diffusion matrix, various types of discounting in the objective functional, and stochastic time scales.

Evgeny Shchepin, 27th of February

Steklov Mathematical Institute of RAS

Title: The Leibniz integral

Abstract: Leibniz defined the integral as the "sum of an infinitely large number of infinitely small quantities." In this presentation, we will explain how to correctly define the Leibniz integral sum when we consider "quantity" to refer to a class of asymptotically equivalent sequences, following the principle of comparison: if all the terms of the first integral sum do not exceed their corresponding terms in the second, then the first integral sum does not exceed the second. The integral of a function with respect to the Lebesgue measure, defined through Leibniz integral sums generated by increasingly finer sequences of partitioning intervals, coincides with the Kurzweil-Henstock and Denjoy-Perron integrals. The Leibniz integral for an interval in the form of Stieltjes-type f(x)dg(x) is defined for any functions of finite variation, even in the presence of common points of discontinuity. This is the case when Stieltjes integral sums do not have a limit.

Alexander Chertovich, 20th of February & 5th of March

Semenov Federal Research Center for Chemical Physics & Lomonosov Moscow State University

Title: Introduction to Polymer Physics

Abstract: The talk will provide a general overview and key concepts of polymer physics, its connection with classical problems of statistical physics and mathematical statistics. A brief excursion into the short history of polymer science development will be given, with the first mention of long chain molecular structures dating back to 1922. I will also present the view of polymer physics on the most complex polymer systems – biomacromolecules (proteins, DNA/RNA). Among a number of current topics in polymer physics, the following will be briefly covered: