Southern Federal University Faculty of mathematics, mechanics and computer science Milchakova str. 8a, Rostov-on-Don, 344090 Phone.: (863) 2975 111; Fax: (863) 2975 113; SYLLABUS 1-semester course Advanced problems of the mathematical physics For Masters Program Computational Mechanics and Biomechanics 5 ECTS Credits Course description Contemporary approach to science – known as nonlinear science – is more than a new field. Put simply, it is the recognition that throughout nature, the whole is greater than the sum of parts. The main purpose of this course is twofold: To train the students to appreciate the interplay between theory and modeling in problems arising in the applied science and To give them a solid theoretical background for nonlinear science Recommended previous knowledge Differential equations and the equations of mathematical physics are obligatory. Some background in continuum mechanics, mathematical models of science is recommended. Techniques, Skills, etc After completing the course, the students are expected to be able to: describe some physics and biomechanical models develop methods of mathematical physics analyze the wave propagation give the proofs of main theoretical results solve exercises and problems apply theoretical material to the research work Requirements and assignments 2 individual tasks, 1 class presentation, 1 final exam, attendance. Course Content № Subject Assignment Duration (in hours) 1. 2. 3. 4. 5. Introduction. Soliton. History of discovery Definition Modern applications Conservative Systems with One Degree of Individual Task 1 Freedom Mathematical Pendulum Phase plane. Sepatatrix Exact solutions corresponding the sepatrix Elliptic functions Applications to soliton equations Presentation Wave Equations from Mass-Spring Systems Longitudial motion Transversal motion Fourie transform Laplace transform Linear waves Torsion Coupled Pendulums: Sine-Gordon Equation Equations for N torsion coupled equal pendulums Sine-Gordon equation Kink and anti-kink solutions Breather solutions Backlund Transformation 2 8 8 8 6 6. 7. 8. 9. Description Applications to ODE and PDE Problems Symmetries of Soliton Equations Symmetries groups KdV equation The Lax form of an evolution equation Legendre polynomas Spherical functions The quantum mechanics harmonic oscillator and Individual task 2 transformations Semigroup Theory Strongly continuous semigroup A semigroup of contractions 4 The Hirota equation The Hirota derivative N-solitons Vertex operators 8 4 Center Manifolds Center manifold theorem Semilinear wave equation Reduction 10. The KdV and KP Equations in Physics 11. Exact Solutions of the KdV and KP equations The KdV equation and associated linear system Some exact solutions of the KdV and KP equations Soliton propagation 4 4 Presentation 6 12. Nerve Pulses and Reactions-Diffusion Systems Nerve-pulse velocity Simple nerve models Reaction diffusion dimensions in Final exam 6 higher Grading Policy Course components Individual tasks - 20% Midterm exam - 20% Class presentation - 20% Final exam - 25% Attendance - 15% Literature 1. Carr J. Applications of centre manifold theory. Springer, 1981. - 160 p. 2. Engel B. J., Nagel L. One-parameter semigroups for linear evolution equations. Springer, 2000. 609 p. 3. Kuznecov Y.A. Elements of applied bifurcation theory. Springer, 1998. - 591 p. 4. Salsa S. Partial Differential Equation in Action – From Modelling to Theory. Springer, 2008. 5. Marcowich P. Applied Partial Differential Equations. Springer, 2007. 6. Miura (ed.) Backlund Transforms, the Inverse Scattering Method, Solitons and Their Applications. Springer. 7. Miwa (ed.) Solitons: Differential Equations, Symmetries and Infinite Dimensional Algebras. Cambrige, 2000. - 124 p. 8. Scott A. The Nonlinear Universe. Chaos, Emergence, Life. 2007. 364 p. 9. Scott A. Neuroscience – a Mathematical Primer. Springer, 2002. 378 p. 10. Steeb W. Problems in theoretical physics. Vol. 2. Advanced problems. BI-Wiss.-Verl., 1990. 300 p. 11. Sun J., Luo A. Bifurcation and Chaos in Complex Systems. 2006. 388 p. General Information Dr. Svetlana Revina revina@math.sfedu.ru