**MAIN THEME A: KINETIC AND DISPERSIVE EQUATIONS – MATHEMATICAL PHYSICS**

*1. Weak (Wave) turbulence:*

*1. Weak (Wave) turbulence:*

**See Terrence Tao’s blog for an excellent introduction, or this AIM workshop for an overview. **

Wave turbulence is a branch of science studying the out-of-equilibrium statistical mechanics of random nonlinear waves of all kinds and scales. Despite the fact that wave fields in nature are enormous diverse; to describe the processes of random wave interactions, there is a common mathematical concept. The development of this mathematical concept and the applications is an established integral part of nonlinear science. Wave turbulence systems are important in a vast range of physical examples (cf. Zakharov, L’vov, Falkovich, Kolmogorov spectra of turbulence I: Wave turbulence, Springer 2012; Nazarenko, Wave turbulence, Springer 2011; Newell, Rumpf, World Scientific Series on Nonlinear Science Series, 2013.).

**Rigorous derivations and understanding properties of weak turbulence kinetic equations is a subject with a lot of interest for the recent years: Lukkarinen, Spohn’2010, Faou, Germain, Hani’2016, Buckmaster, Germain, Hani, Shatah’2017, Escobedo, Velazquez’15, Escobedo, Velazquez’15 (2).**

There are two types of wave turbulence kinetic equations.

The 4-wave turbulence kinetic equation:

The most striking element of the theory of wave turbulence is the that the solutions of the 4- wave kinetic equation can describe the large time dynamic of high Sobolev norm of the solution of the cubic nonlinear Schr\”odinger equation on the torus

The 3-wave turbulence kinetic equation:

where is the given transition probability, is the dispersion relation and we have used the short-hand notation and . Similar to the 4-wave kinetic equation, the 3-wave kinetic equation can be used to describe the long time dynamics of high Sobolev norms of solutions to the water wave equation (Zakharov’1965)

or several other equations (Lvov, Tabak’2001, Majda, Introduction to PDEs and waves for the atmosphere and ocean, 2003).

*Our recent contributions include: *

** i) Wave turbulence for capillary water waves: **Chapter 9, joint work with T. Nguyen

* ii) Wave turbulence for internal waves in the ocean:* Chapter 10, joint work with L. M. Smith and I. M. Gamba

* iii) Optimal local well-posedness theory for the 4-wave equation:* Chapter 11, joint work with

*Pierre Germain and Alexandru D. Ionescu*

**2. Quantum Boltzmann:**

**2. Quantum Boltzmann:**

There are also two types of quantum Boltzmann collision operators, which are very similar to the wave turbulence collision operators.

The 4-wave quantum Boltzmann collision operators

The 3-wave quantum Boltzmann collision operators

After the production of the first Bose-Einstein Condensates (BECs), that led to the 2001 Nobel Prize of Physics, there has been an explosion of physics research on the kinetic theory associated to BECs and their thermal clouds. The first attempt in this direction was the one by Theodore Kirkpatrick and Robert Dorfman (1985), based on the rich body of research carried out in the period 1940-67 by Bogoliubov, Lee and Yang, Beliaev, Pitaevskii, Hugenholtz and Pines, Hohenberg and Martin, Gavoret and Nozi`eres, Kane and Kadanoff and many others. Among the later works are the ones by Yves Pomeau et. al. (1999), Eugene Zaremba et. al. (1999), Hendricus Stoof et. al. (1999), Vladimir E. Zakharov and Sergey V. Nazarenko (2005), Hebert Spohn (2010), and several others. In 2001, Crispin Gardinier, Petter Zoller and collaborators derived a Master Quantum Kinetic Equation for BECs and introduced the terminology ”Quantum Kinetic Theory”. Quantum kinetic theory is both a genuine kinetic theory and a genuine quantum theory. In which, the kinetic part arises from the decorrelation between different momentum bands.

Note that the first proof of Bose-Einstein Condensation was given in 2002 by Elliott H. Lieb and Robert Seiringer.

Quantum kinetic theory is formally derived for trapped bose gases with short range interactions and the system is temperature dependent. There are rigorous derivations for the excitation spectrum for trapped bose gases with short range interactions and the system is temperature independent ( for instance, Seiringer ’11, Hepp, Rodnianski-Schlein, Grillakis-Margetis-Machedon ’10-’15, Ben Arous-Kirkpatrick-Schlein ’12, Bach-Breteaux-Chen-Fröhlich-Sigal ’16, Deckert-Fröhlich-Pickl-Pizzo ’16 and references therein).

*Our recent research results on quantum kinetic theory are based on several different points of view:*

*i) Kinetic equations approach:*

– The Cauchy problem: Chapter 1, joint work with R. Alonso, I. M. Gamba

– Hydrodynamics limits: Chapter 8, joint work with S. Jin

– Convergence to equilibrium: Chapter 4, joint work with M. Escobedo

– Positivity: Chapter 2, joint work with T. Nguyen

*ii) Dispersive equations approach:*

– Scattering theory: Chapter 3, Chapter 7, joint work with A. Soffer

*iii) Dynamical systems approach:*

– The analog between the global attractor conjecture (GAC) in chemical reaction network and the convergence to equilibrium of quantum kinetic equations: Chapter 5, joint work with G. Craciun

*iv) Quantum field theory approach:*

– The Peletmiskii-Yatchenko derivation: Chapter 6, joint work with L. Reichl

**MAIN THEME B: SCIENTIFIC COMPUTING – COMPUTATIONAL SCIENCES AND UNCERTAINTY QUANTIFICATION – SENSITIVITY ANALYSIS**

**1. Hybridized Discontinous Galerkind Algorithms: **

**1. Hybridized Discontinous Galerkind Algorithms:**

Extra Chapter 1 (simulations included), and Extra Chapter 2 joint work with Tan Bui-Thanh and Sriramkrishnan Muralikrishnan.

*2. *** ****Approximation Theory: Wavelet, Splines, Spectral Method.**** **

**Approximation Theory: Wavelet, Splines, Spectral Method.**

I have built a nonlinear approximation theory, based on an Adaptive Spectral Method, for Boltzmann equation. This is the first bridge between Kinetic Theory and Nonlinear Approximation Theory.

*3. *** ****Domain Decomposition Methods – Parallel Computing:**

**Domain Decomposition Methods – Parallel Computing:**

**i) ** **The theory of domain decomposition methods:** I have developed *a new machinery* to study the convergence problem of both classical and optimized domain decomposition methods.

**ii) ****Applications of domain decomposition methods: **I have used classical and optimized domain decomposition methods to *parallelize the numerical resolution of many problems in various research areas*.

a. Stochastic differential equations and financial maths

b. Kinetic equations

c. Control theory

References for the pictures:

[1] Sriramkrishnan Muralikrishnan, Minh-Binh Tran, Tan Bui-Thanh. *An Iterative HDG Framework for Partial Differential Equations.* SIAM Journal on Scientific Computing.

[2] http://bec.nist.gov/