1. Each set S is linearly independent. Use the Gram-Schmidt process to create an orthogonal set of vectors with the same span as S. Then find an orthonormal basis for the same span. a. S = in R3 using dot product as the inner product.

Advanced Engineering Mathematics
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Author:Erwin Kreyszig
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Chapter2: Second-order Linear Odes
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1. Each set S is linearly independent. Use the Gram-Schmidt process to create an orthogonal set
of vectors with the same span as S. Then find an orthonormal basis for the same span.
5
a. S=
in R3 using dot product as the inner product.
b. S = {1+t,1– t,t – t²} in P2 using the inner product (p(t), q(t)) = p(t)q(t)dt (P2 is
the set of all polynomials having the degree of atmost 2).
Transcribed Image Text:1. Each set S is linearly independent. Use the Gram-Schmidt process to create an orthogonal set of vectors with the same span as S. Then find an orthonormal basis for the same span. 5 a. S= in R3 using dot product as the inner product. b. S = {1+t,1– t,t – t²} in P2 using the inner product (p(t), q(t)) = p(t)q(t)dt (P2 is the set of all polynomials having the degree of atmost 2).
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