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Advanced Linear Algebra, Lecture 3.1: Determinant prerequisites
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Advanced Linear Algebra - Advanced Linear Algebra, Lecture 3.1: Determinant prerequisites

Unlock the Power of Vector Spaces: Master Advanced Linear Algebra with Professor Macauley. Dive deep into theory and applications, from eigenvectors to spectral theorems. Enhance your mathematical prowess and transform complex problems into elegant solutions.

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What you'll learn

Understand key concepts of vector spaces, including spanning, independence, and bases.
Analyze the role of eigenvalues, eigenvectors, and the spectral theorem in linear mappings.
Apply the Gram-Schmidt process and orthogonal projection in various contexts.
Evaluate the properties and applications of quadratic forms and spectral resolutions.

This course includes

  • 25.5 hours of video
  • Certificate of completion
  • Access on mobile and TV

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Advanced Linear Algebra, Lecture 3.1: Determinant prerequisites In this series of lectures, we will study the determinant of a linear map T from X to X in a basis-free way, i.e., without reference to a matrix. It will end up being a certain type of n-linear function. But to do this, we need some basic facts about permutations, which we cover in this lecture. We define the sign of a permutation using the discriminant of n variables. We also give an intuitive "unofficial" definition of the determinant -- the signed volume of the image of the unit cube, which describes the scaling factor the linear map. We explain why some some fundamental properties of the determinant follow immediately from this geometric concept. Our goal with this is to get some context and motivation as we work toward the abstract definition of the determinant. Course webpage: http://www.math.clemson.edu/~macaule/math8530-online.html

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