Skip to main content
Graph
Search
fr
en
Login
Search
All
Categories
Concepts
Courses
Lectures
MOOCs
People
Practice
Publications
Startups
Units
Show all results for
Home
Lecture
Lp Spaces: Introduction
Graph Chatbot
Related lectures (28)
Previous
Page 1 of 3
Next
Approximation by Smooth Functions
Discusses approximation by smooth functions and the convergence of function sequences in normed vector spaces.
Distributions and Derivatives
Covers distributions, derivatives, convergence, and continuity criteria in function spaces.
Harmonic Forms: Main Theorem
Explores harmonic forms on Riemann surfaces and the uniqueness of solutions to harmonic equations.
Normed Spaces
Covers normed spaces, dual spaces, Banach spaces, Hilbert spaces, weak and strong convergence, reflexive spaces, and the Hahn-Banach theorem.
Measure Spaces: O-Finite and Probability Measures
Explores o-finite and finite measure spaces, probability measures, and inequalities, concluding with LP space completeness.
Sobolev Spaces in Higher Dimensions
Explores Sobolev spaces in higher dimensions, discussing derivatives, properties, and challenges with continuity.
Euclidean Spaces: Properties and Concepts
Covers the properties of Euclidean spaces, focusing on R^n and its applications in analysis.
Norms and Distances in Analysis II
Discusses norms, distances, and the classification of open and closed sets in mathematical analysis.
Weak Derivatives: Definition and Properties
Covers weak derivatives, their properties, and applications in functional analysis.
Real Functions: Definitions and Properties
Explores real functions, covering parity, periodicity, and polynomial functions.