Partial differential equations

Explore the programs and courses offered by Partial differential equations

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Program Overview

The doctoral program in Partial Differential Equations (PDEs) aims to train highly qualified researchers in this fundamental branch of mathematical analysis and applied mathematics. It offers deep theoretical understanding of PDEs, mastery of advanced analytical and numerical tools, and the development of research skills necessary to solve complex problems arising in physics, engineering, biology, and data science. The program also encourages interdisciplinary and international research collaborations.

Teaching Language : English

Curriculum Highlights

Core Courses

Advanced Partial Differential Equations

In-depth study of elliptic and parabolic PDEs.

Functional Analysis

Hilbert and Banach spaces, linear operators, duality, and compactness.

Sobolev Spaces and Applications

Study of Sobolev spaces, inequalities, and embedding theorems.

Variational Methods

Analysis of weak solutions using variational principles and energy functionals.

Numerical Analysis of PDEs

Numerical methods such as finite differences, finite elements, and stability analysis.

Mathematical Modeling

Application of PDEs to model physical, biological, and engineering phenomena.

Research Seminar

Presentation and discussion of recent scientific articles within a research group.

Advanced Topics

Nonlinear PDEs and Qualitative Analysis

Study of existence, blow-up, and long-term behavior of solutions.

Regularity Theory

Investigation of the smoothness of solutions, especially under irregular data or domains.

Optimal Control and PDEs

Application of control theory to systems governed by PDEs.

Spectral Analysis

Study of eigenvalues and eigenfunctions of differential operators.

Nonlocal PDEs

PDEs involving integral operators or fractional derivatives.

PDEs on Irregular Domains

Analysis of solutions in geometrically complex or non-smooth domains.

Admissions Information

  • A Master’s degree (or equivalent) in Mathematics or a related field.
  • Strong background in analysis and PDEs.
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