Normalizing an Orthogonal Set In Exercises 13-16, (a) show that the set of
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- Orthogonal and Orthonormal SetsIn Exercises 1-12, a determine whether the set of vectors in Rnis orthogonal, b if the set is orthogonal, then determine whether it is also orthonormal, and c determine whether the set is a basis for Rn. {(23,0,26),(0,255,55),(55,0,12)}arrow_forwardDetermine Whether a Matrix Is Orthogonal In Exercise 19-32, determine whether the matrix is orthogonal. If the matrix is orthogonal, then show that the column vectors of the matrix form an orthonormal set. [22222222]arrow_forwardProofProve that if A is not square, then either the row vectors of A or the column vectors of A form a linearly dependent set.arrow_forward
- Proof In Exercises 6568, complete the proof of the remaining properties of theorem 4.3 by supplying the justification for each step. Use the properties of vector addition and scalar multiplication from theorem 4.2. Property 6: (v)=v (v)+(v)=0andv+(v)=0a.(v)+(v)=v+(v)b.(v)+(v)+v=v+(v)+vc.(v)+((v)+v)=v+((v)+v)d. (v)+0=v+0e.(v)=vf.arrow_forwardProof Let A be an nn square matrix. Prove that the row vectors of A are linearly dependent if and only if the column vectors of A are linearly dependent.arrow_forwardFind a basis for R2 that includes the vector (2,2).arrow_forward
- Showing Linear Dependence In Exercises 53-56, show that the set is linearly dependent by finding a nontrivial linear combination vectors in the set whose sum is the zero vector. Then express one of the vectors in the set as a linear combinations of the other vectors in the set. S={(1,2,3,4),(1,0,1,2),(1,4,5,6)}arrow_forwardLet v1, v2, and v3 be three linearly independent vectors in a vector space V. Is the set {v12v2,2v23v3,3v3v1} linearly dependent or linearly independent? Explain.arrow_forwardWritingExplain why the result of Exercise 41 is not an orthonormal basis when you use the Euclidean inner product on R2. Use the inner product u,v=2u1v1+u2v2 in R2 and Gram-Schmidt orthonormalization process to transform {(2,1),(2,10)} into an orthonormal basis.arrow_forward
- True or False? In Exercises 55 and 56, determine whether each statement is true or false. If a statement is true, give a reason or cite an appropriate statement from the text. If a statement is false, provide an example that shows the statement is not true in all cases or cite an appropriate statement from the text. a A set S of vectors in an inner product space V is orthonormal when every vector is a unit vector and each pair of vectors is orthogonal. b If a set of nonzero vectors S in an inner product space V is orthogonal, then S is linearly independent.arrow_forwardTake this test to review the material in Chapters 4 and 5. After you are finished, check your work against the answers in the back of the book. a Explain what it means to say that a set of vectors is linearly independent. b Determine whether the set S is linearly dependent or independent. S={(1,0,1,0),(0,3,0,1),(1,1,2,2),(3,4,1,2)}arrow_forwardUsing linear algebra, show that G={p1(x)=1−x+x^2, p2(x)=x, p3(x)=x+x^2} is a basis of P2, the vector space of polynomials of degree at most two with real coefficients.arrow_forward
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