Course

MATH-301: Ordinary differential equations

Lectures in this course (35)

Covers the asymptotic behavior of gradient vestimer and the conclusion of Peano, emphasizing the importance of specialized public behavior.

Explores asymptotic solutions of differential equations and their behavior in different scenarios.

Explores Banach spaces and the uniqueness of solutions in differential equations, emphasizing continuity and local behavior.

Explores controllability in linear systems, discussing invertibility, associated matrices, and system behavior implications.

Covers the reduction of complex systems to linear situations and controllability conditions.

Explores the analytical solutions of ordinary differential equations, emphasizing the identification and solving process for various EDO types.

Explores critical points in finite solutions, emphasizing isolated points and their significance.

Explores analytical trajectories, emphasizing critical points, inequalities, and analyticity.

Explores locally Lipschitz functions, discussing differentiability, unique solutions, and function reduction.

Covers the basics of ordinary differential equations and their properties.

Covers the solution of ODEs using Picard's iteration and Riccati equations.

Explores unique solutions in differential equations, emphasizing the importance of satisfying key conditions for a single solution.

Explores the behavior of trajectories in differential equations, focusing on asymptotic behavior and solution uniqueness.

Explores Lipschitz dependence supported by examples and theoretical hypotheses, emphasizing global unique solutions.

Explores stability and eigenvalues, highlighting their significance in analyzing system behavior.