Back to Orthogonal bases and projections

Activity 6.3.4

Avg difficulty 2.5
  1. Suppose that LL is the line in R3\real^3 defined by the vector w=[12−2]\wvec=\threevec{1}{2}{-2}.

    1. Find an orthonormal basis u\uvec for LL.

    2. Construct the matrix Q=[u]Q = \begin{bmatrix}\uvec\end{bmatrix} and use it to construct the matrix PP that projects vectors orthogonally onto LL.

    3. Use your matrix to find b^\bhat, the orthogonal projection of b=[111]\bvec=\threevec111 onto LL.

    4. Find rank⁡(P)\rank(P) and explain its geometric significance.

  2. The vectors w1=[1111],w2=[011−2]\wvec_1 = \fourvec1111,\hspace{24pt} \wvec_2 = \fourvec011{-2} form an orthogonal basis of WW, a two-dimensional subspace of R4\real^4.

    1. Use the projection formula from Projection formula to find b^\bhat, the orthogonal projection of b=[92−23]\bvec=\fourvec92{-2}3 onto WW.

    2. Find an orthonormal basis u1\uvec_1 and u2\uvec_2 for WW and use it to construct the matrix PP that projects vectors orthogonally onto WW. Check that Pb=b^P\bvec = \bhat, the orthogonal projection you found in the previous part of this activity.

    3. Find rank⁡(P)\rank(P) and explain its geometric significance.

    4. Find a basis for W⊥W^\perp.

    5. Find a vector b⊥\bvec^\perp in W⊥W^\perp such that b=b^+b⊥.\bvec = \bhat + \bvec^\perp.

    6. If QQ is the matrix whose columns are u1\uvec_1 and u2\uvec_2, find the product QTQQ^TQ and explain your result.

Austin, Understanding Linear Algebra, §6.3 Orthogonal bases and projections, Activity 6.3.4

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Adapted from Understanding Linear Algebra © 2023 David Austin. Licensed under CC BY 4.0. Source: Understanding Linear Algebra. Imported at revision 3e6dced.