
Explore saddle-node, transcritical, pitchfork, and Hopf bifurcations in dynamical systems. Learn how these phenomena affect phase portraits and system behavior as parameters change.

This is a basic course in classical mechanics at the senior undergraduate/ master's level. It covers the standard topics in this subject, including the Lagrangian and Hamiltonian formalisms. It also places the subject in the broader context of classical…

Explore nonlinear dynamics and chaos through analytical methods, examples, and applications in physics, biology, and engineering. Develop mathematical theory and gain insights into complex systems behavior.

Explore how Reservoir Computing and AI can predict chaotic systems like weather and brain dynamics, pushing beyond traditional forecasting limits and combining knowledge-free and knowledge-based approaches.

Explore forecasting natural disasters using satellite data, nonlinear dynamics, and numerical simulations. Learn about ensemble forecasting and pattern methods for predicting extreme events.

Explore complex systems through parables, examining prediction models, chaos theory, and market dynamics to gain insights applicable to everyday life and decision-making.

Exploring how higher-order network interactions influence non-linear dynamics, synchronization, and percolation in complex systems like brain networks and climate patterns.

Explore how complexity economics can revolutionize our understanding of global economic challenges and lead to better predictions and solutions for a more sustainable future.

Explore chaos theory, determinism, and unpredictability through the lens of Ed Lorenz's work and the true meaning of the Butterfly Effect in meteorology and climate physics.

Explore the limits of scientific knowledge with Marcus du Sautoy as he delves into fundamental questions about the universe, consciousness, and the boundaries of human understanding.

Explore the unexpected applications of mathematics in predicting the future, from prime numbers to football, in this engaging lecture by Marcus du Sautoy.

This course is designed to introduce students to the basic ideas of Dynamical systems, Stability, and chaos, largely using Iterative mappings as the model. The course will focus on qualitative ideas and will require students to explore dynamics through s…

Explore dynamical systems in computing, from practical implementations to cutting-edge concepts. Gain insights into complex systems and interdisciplinary physics applications.

Enhance your knowledge of bifurcations and their troubleshooting techniques in this insightful lecture on complex systems analysis.

Dive into Anosov flows on 3-manifolds, exploring their chaotic yet stable nature, classification challenges, and recent advancements in low-dimensional geometric topology.

Explore the dynamics of nonhyperbolic partially hyperbolic diffeomorphisms, focusing on skew products of circle diffeomorphisms and their implications for ergodic measures and entropy in dynamical systems.

Dive into chain recurrence classes of generic diffeomorphisms, exploring advanced concepts in dynamical systems and topology.

Explore strong positive recurrence in diffeomorphisms, its implications for entropy-maximizing measures, and its equivalence to Lyapunov exponent continuity. Gain insights into smooth diffeomorphisms on compact surfaces.

Delve into spectrum rigidity and joint integrability for Anosov systems on tori. Explore topological conjugacy of non-invertible Anosov maps on 2-torus and its implications for smooth conjugacy along stable foliations.

Delve into spectrum rigidity and joint integrability for Anosov systems on tori. Explore the equivalence between geometric rigidity and dynamical spectral rigidity in Anosov diffeomorphisms, focusing on irreducible cases with split stable bundles.

Explore the control of Lyapunov exponents using entropy in smooth surface diffeomorphisms. Gain insights into recent research on expansion of smooth unstable curves and their relation to homoclinic tangencies.