Checking date: 22/07/2021

Course: 2021/2022

Advanced methods for nonlinear differential equations
Study: Master in Applied and Computational Mathematics (372)

Coordinating teacher: ORTEGA GARCIA, ALEJANDRO

Department assigned to the subject: Department of Mathematics

Type: Electives
ECTS Credits: 3.0 ECTS


Requirements (Subjects that are assumed to be known)
The course is aimed at master's students with a basic knowledge of the theory of differential equations and analysis. It is recommended to have passed the introductory courses: -Differential Calculus -Ordinary differential equations -Partial Differential Equations -Real Analysis -Functional Analysis
The course focuses on the development of the theory of nonlinear differential equations with the aim of familiarising the student with important techniques and results in this nonlinear context. In particular, it is intended that the student understands the intrinsic problems of nonlinear problems and acquires advanced skills in: fixed point theory and bifurcation theory and their applications to differential equations; in the theory of change of scale and self-similar solutions. Basic skills: CB6, CB7, CB10 General skills: CG4, CG5, CG6 Specific skills: CE2, CE8
Skills and learning outcomes
Description of contents: programme
1. Fixed point Theory: Contraction mappings and Fixed Point Theorems. 2. Bifurcation Theory: Bifurcation types. Global bifurcation. 3. Scaling and Self-similarity: Classification of self-similarity. Transformation groups. 4. Applications: Periodic and traveling waves, nonlinear eigenvalue problems, porous media equation, quasilinear equations.
Learning activities and methodology
1. THEORETICAL-PRACTICAL CLASSES, where the knowledge that the students must acquire is explained and developed. Students will have basic reference texts to facilitate the understanding of the classes and the development of follow up work. The teacher and the students will solve exercises and practical problems, previously suggested by the teacher. 2. TUTORING SESSIONS. Individualized attendance for students with a teacher. 3. STUDENT INDIVIDUAL OR GROUP WORK. Each student's individualized study, understanding of results and proofs, and exercise and problem-solving is fundamental in mathematics, both for learning and for self-evaluation of acquired competencies and skills.
Assessment System
  • % end-of-term-examination 60
  • % of continuous assessment (assigments, laboratory, practicals...) 40
Calendar of Continuous assessment
Basic Bibliography
  • A. Ambrosetti, A. Malchiodi. Nonlinear Analysis and semilinear elliptic problems. Cambridge University Press. 2007
  • G. Barenblatt. Scaling, self-similarity, and intermediate asymptotic. Cambridge University Press. 1996
  • M. S. Berge. Nonlinearity and Functional Analysis. Academic Press. 1977
Additional Bibliography
  • K. Deimilin. Nonlinear Functional Analysis. Dover. 2009
  • P. Drábek, J. Milota. Methods on Nonlinear Analysis. Springer. 2013

The course syllabus and the academic weekly planning may change due academic events or other reasons.