Definition of Sobolew Spaces

Related lectures (30)

Page 3 of 3

Introduces linear and bounded operators, compact operators, and the Banach space.

Explores orthogonality between vectors and subspaces, demonstrating practical implications in matrix operations.

Covers basics on optimization, including norms, Lipschitz continuity, and convexity concepts.

Explores orthogonality, norms, and distances in vector spaces for solving linear systems.

Covers the school product and geometric properties of vectors in space.

Covers the definition and properties of Hilbert spaces, including the Cauchy-Schwarz inequality and norm definition.

Explores norms and bounded operators in functional analysis, demonstrating their properties and applications.

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

Covers the foundations of modern analysis, introductory functional analysis, and applications in MAB111.

Covers the concept of norms in Rn and their applications.