Skip to main content
Graph
Search
fr
en
Login
Search
All
Categories
Concepts
Courses
Lectures
MOOCs
People
Quizes
Exercises
Publications
Startups
Units
Show all results for
Home
Lecture
Analysis: Recap and Normed Space R^n
Graph Chatbot
Related lectures (41)
Normed Spaces: Definitions and Examples
Covers normed vector spaces, including definitions, properties, examples, and sets in normed spaces.
Vector Spaces and Topology
Covers normed vector spaces, topology in R^n, and the principle of drawers as a demonstration method.
Properties of Complete Spaces
Covers the properties of complete spaces, including completeness, expectations, embeddings, subsets, norms, Holder's inequality, and uniform integrability.
Vector Spaces and Topology
Covers vector spaces, topology, and proof methods like the pigeonhole principle in R^n.
Equivalent norms: properties and proofs
Explores equivalent norms in a vector space and their continuity properties, including proofs of norm equivalence.
Scalar Products: Definition, Examples
MOOC: Linear Algebra (Part 3)
Covers the definition of a scalar product on a real vector space and provides examples.
Generalized Integrals: Bounded Interval
Introduces generalized integrals on a bounded interval, discussing convergence, divergence, comparison criteria, variable substitution, and corollaries.
Multiple Integration: Part 2
Explores double integrals over unbounded domains and convergence of sequences.
Continuous Functions: Criteria and Equivalences
Explores criteria for continuity, convergence of sequences, and equivalence conditions for continuous functions.
Normed Spaces
Log in to Mediaspace to watch this video
Covers normed spaces, dual spaces, Banach spaces, Hilbert spaces, weak and strong convergence, reflexive spaces, and the Hahn-Banach theorem.
Approximation by Smooth Functions
Log in to Mediaspace to watch this video
Discusses approximation by smooth functions and the convergence of function sequences in normed vector spaces.
Normed Spaces & Reflexivity
Log in to Mediaspace to watch this video
Covers normed spaces, Banach spaces, and Hilbert spaces, as well as dual spaces and weak convergence.
Vector Spaces and Convergence
Log in to Mediaspace to watch this video
Covers vector spaces, compact sets, convergence, continuity, and uniqueness theorems.
Definition of Sobolew Spaces
Log in to Mediaspace to watch this video
Explains the definition of Sobolew spaces and their main properties, focusing on weak denivelre.
Preliminaries in Measure Theory
Log in to Mediaspace to watch this video
Covers the preliminaries in measure theory, including loc comp, separable, complete metric space, and tightness concepts.
Function Approximations
Log in to Mediaspace to watch this video
Covers continuous functions with compact support, density, and approximation, focusing on the heat equation.
Distributions and Derivatives
Log in to Mediaspace to watch this video
Covers distributions, derivatives, convergence, and continuity criteria in function spaces.
Properties of Weak Derivatives
Log in to Mediaspace to watch this video
Explores weak derivatives in Sobolev spaces, discussing their properties and uniqueness.
Generalized Integrals: Type 2
Log in to Mediaspace to watch this video
Covers the integration of limit expansions and continuous functions by pieces.
Analysis IV: Convergence and Approximation in L² Space
Log in to Mediaspace to watch this video
Explores convergence and approximation in L² space, emphasizing the limitations of continuous functions and the importance of closed sets.
Previous
Page 1 of 3
Next