Distribution & Interpolation Spaces

Related lectures (30)

Page 1 of 3

Covers distributions, interpolation spaces, convergence, and the concept of dual spaces.

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

Covers the description of problem solutions and the concept of compactness and uniform continuity.

Explores fundamental solutions, Green's formula, distributions, and convergence in Laplace equation.

Explores proof ideas related to the cut-off phenomenon and its implications in random walks on hypercubes.

Covers Green's representation formula, fundamental solutions, and distribution properties.

Covers normed spaces, dual spaces, Banach spaces, Hilbert spaces, weak and strong convergence, reflexive spaces, and the Hahn-Banach theorem.

Explores convolution operators, interpolation spaces, and function convergence in different spaces.

Covers the preliminaries in measure theory, including loc comp, separable, complete metric space, and tightness concepts.

Covers probability distributions, moments, and continuous random variables.