6. Let B= {(v,,V½, v½ } be a basis for R'. Use the Gram-Schmidt process to find an orthogonal basis. Do not normalize the vectors.

Elementary Linear Algebra (MindTap Course List)
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Chapter5: Inner Product Spaces
Section5.CR: Review Exercises
Problem 41CR: Let B={(0,2,2),(1,0,2)} be a basis for a subspace of R3, and consider x=(1,4,2), a vector in the...
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6. Let B = {(v,V½, V,} be a basis for R’. Use the Gram-Schmidt process to find an orthogonal basis. Do not
normalize the vectors.
7. Let V be a finite dimensional vector space over R with a positive definite scalar product. Let W be a
subspace of V. Then proveV = W ©w*. Hints: Start with an orthonormal basis for W, then extend it to
an orthonormal basis for V, and then show the extension vectors span W². Note: They are already
linearly independent by # 5.
Transcribed Image Text:6. Let B = {(v,V½, V,} be a basis for R’. Use the Gram-Schmidt process to find an orthogonal basis. Do not normalize the vectors. 7. Let V be a finite dimensional vector space over R with a positive definite scalar product. Let W be a subspace of V. Then proveV = W ©w*. Hints: Start with an orthonormal basis for W, then extend it to an orthonormal basis for V, and then show the extension vectors span W². Note: They are already linearly independent by # 5.
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