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Advanced Linear Algebra, Lecture 5.9: Complex inner product spaces
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Advanced Linear Algebra - Advanced Linear Algebra, Lecture 5.9: Complex inner product spaces

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 5.9: Complex inner product spaces Roughly speaking, complex inner product spaces are just like real inner product spaces, except that the "transpose" operation is replaced by "conjugate transpose". Formally, this is done by replacing the bilinear form with a "sesquilinear" form (sesqui- means "one and a half"). This is not a different definition, but rather, a way to extend the real case to the complex numbers. In other works, when restricting to the real numbers, everything remains bilinear. We discuss what adjoints and orthogonality means in a complex inner product space, and how the concept of an "orthogonal map" extends to a "unitary map". We conclude with an example of how complex Fourier series, using complex exponentials, can be formalized via a complex inner product structure, and how this compares to the real Fourier series that use sine and cosine functions, which have previously seen. Course webpage: http://www.math.clemson.edu/~macaule/math8530-online.html

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