Chapter 6 - Orthogonality

Dot product: x1y1 + x2y2 + ... xkyk

  1. commutativity

  2. Distributive

Length of a vector x in Rn

Distance between two points x, y:

A unit vector is a vector x with length ||x|| = sqrt(x*x) = 1

Orthogonal

Two vectors x and y are orthogonal or perpendicular if x dot y = 0

6.2 Orthogonal Complements

Orthogonal complement: subpace of V is the orthogonal complement of subpace of Z if every vectors in V is orthogonal to every vectors in Z

Let A be a matrix and let W = Col ( A ) . Then

W perp = Nul(A transpose)

A transpose means turning everything into parametric form

Row space of a matrix A is the span of the rows of A and is Row(A)

6.3 Orthogonal Projections

Let W be a subspace of R n and let x be a vector in R n . We denote the closest vector to x on W by x W .

x_wperp = x-x_w

Compute projection with a known X:

Compute projection with an unknown X:

6.4 Orthogonal Sets

6.5 The Method of Least Squares

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