studEE16A
  • Introduction
  • Linear Algebra
    • Linear Equations
      • Description
      • Example Problems
    • Vector Spaces
      • Description
      • Example Problems
    • Inner Products
      • Description
      • Example Problems
    • Determinants
      • Description
      • Example Problems
    • Eigen-everything
      • Description
      • Example Problems
    • Matrices
      • Description
      • Example Problems
    • Least Squares
      • Description
      • Example Problems
    • Gram-Schmidt
      • Description
      • Example Problems
    • Basis
      • Description
      • Example Problems
    • Page Rank
  • Circuits
    • Circuit Basics
    • Capacitance
    • Nodal Analysis
    • Superposition
    • Thevenin and Norton
    • What, When, Where, and Why?
    • Op Amps
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  1. Linear Algebra

Inner Products

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Last updated 5 years ago

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What and why

Inner products are operations that take 2 vectors x⃗,y⃗\vec{x}, \vec{y}x,y​ in the vector space VVV as inputs and return a scalar. We denote the inner product using angle brackets: ⟨x⃗,y⃗⟩\langle \vec{x}, \vec{y} \rangle⟨x,y​⟩

⟨x⃗,y⃗⟩:V×V→R\langle \vec{x}, \vec{y}\rangle: V \times V \rightarrow \mathbb{R}⟨x,y​⟩:V×V→R

Inner products can be used to compare two vectors in the vector space and are helpful in finding the projection of a vector onto the a vector subspace.

Quick overview of inner products: