Back to Finding orthogonal bases

Activity 6.4.2

Avg difficulty 2.5

Suppose that WW is a three-dimensional subspace of R4\real^4 with basis: v1=[1111],v2=[1322],v3=[1−3−3−3].\vvec_1 = \fourvec1111,\hspace{24pt} \vvec_2 = \fourvec1322,\hspace{24pt} \vvec_3 = \fourvec1{-3}{-3}{-3}\text{.} We can see that this basis is not orthogonal by noting that v1⋅v2=8\vvec_1\cdot\vvec_2 = 8. Our goal is to create an orthogonal basis w1\wvec_1, w2\wvec_2, and w3\wvec_3 for WW.

To begin, we declare that w1=v1\wvec_1=\vvec_1, and we call W1W_1 the line defined by w1\wvec_1.

  1. Find the vector v^2\vhat_2 that is the orthogonal projection of v2\vvec_2 onto W1W_1, the line defined by w1\wvec_1.

  2. Form the vector w2=v2−v^2\wvec_2 = \vvec_2-\vhat_2 and verify that it is orthogonal to w1\wvec_1.

  3. Explain why Span{w1,w2}=Span{v1,v2}\laspan{\wvec_1,\wvec_2} = \laspan{\vvec_1,\vvec_2} by showing that any linear combination of v1\vvec_1 and v2\vvec_2 can be written as a linear combination of w1\wvec_1 and w2\wvec_2 and vice versa.

  4. The vectors w1\wvec_1 and w2\wvec_2 are an orthogonal basis for a two-dimensional subspace W2W_2 of R4\real^4. Find the vector v^3\vhat_3 that is the orthogonal projection of v3\vvec_3 onto W2W_2.

  5. Verify that w3=v3−v^3\wvec_3 = \vvec_3-\vhat_3 is orthogonal to both w1\wvec_1 and w2\wvec_2.

  6. Explain why w1\wvec_1, w2\wvec_2, and w3\wvec_3 form an orthogonal basis for WW.

  7. Now find an orthonormal basis for WW.

Austin, Understanding Linear Algebra, §6.4 Finding orthogonal bases, Activity 6.4.2

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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.