Linearity

Related lectures (31)

Page 2 of 4

Covers distributions, derivatives, convergence, and continuity criteria in function spaces.

Covers the properties of Linear Time-Invariant (LTI) systems and their implications.

Covers the linearization method through two examples in process control.

Covers the fundamental properties of systems in discrete and continuous time domains.

Explores resonant sensors for mass flow and measurement, emphasizing stability and precision.

Explores load impedance, current sources, linearity, and gain optimization in CS stages.

Covers linear systems, vector subspaces, and the kernel and image of linear applications.

Covers Laplace transform rules, examples, signal transformation, and process control.

Explores the dynamics of singular Riemann surface foliations, focusing on vector fields, linear parts, and coordinate changes.

Covers linearity, causality, and equilibrium points in dynamic systems studied in the course.