This lecture introduces linear applications, focusing on definitions, properties, and examples. The instructor explains the canonical basis, injectivity, surjectivity, and how to find the matrix associated with a linear map.
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Explores the definition and properties of linear applications, focusing on injectivity, surjectivity, kernel, and image, with a specific emphasis on matrices.
Delves into the bijection between linear applications and matrices, exploring linearity, injectivity, surjectivity, and the consequences of this relationship.
