Lecture
This lecture covers the concept of embedding in metric spaces, focusing on the process of embedding one metric space into another. The instructor explains the goal of finding mappings between spaces and the conditions for successful embeddings. Various metrics and calculations are discussed, including the comparison of distances and the convergence of mappings. The lecture also delves into the importance of preserving distances and the implications of different metrics on the embedding process.