Orthogonal and Orthonormal Sets In Exercises 1-12, (a) determine whether 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. {(2,4),(2,1)}arrow_forwardProof Prove that if S={v1,v2,,vn} is a basis for a vector space V and c is a nonzero scalar, then the set S1={cv1,cv2,,cvn} is also a basis for V.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_forward
- Determining Whether a Set Is a Basis In Exercises 5356, determine whether S is a basis for R3. If it is, write u=(8,3,8) as a linear combination of the vectors in S. S={(23,52,1),(1,32,0),(2,12,6)}arrow_forwardExplaining Whether a Set Is a Basis In Exercises 39-46, determine whether Sis a basis for the given vector space. S={(1,2),(1,1)} for R2arrow_forwardIllustrate properties 110 of Theorem 4.2 for u=(2,1,3,6), v=(1,4,0,1), w=(3,0,2,0), c=5, and d=2. THEOREM 4.2Properties of Vector Addition and Scalar Multiplication in Rn. Let u,v, and w be vectors in Rn, and let c and d be scalars. 1. u+v is vector in Rn. Closure under addition 2. u+v=v+u Commutative property of addition 3. (u+v)+w=u+(v+w) Associative property of addition 4. u+0=u Additive identity property 5. u+(u)=0 Additive inverse property 6. cu is a vector in Rn. Closure under scalar multiplication 7. c(u+v)=cu+cv Distributive property 8. (c+d)u=cu+du Distributive property 9. c(du)=(cd)u Associative property of multiplication 10. 1(u)=u Multiplicative identity propertyarrow_forward
- Determining Whether a Set Is a Basis In Exercises 39-46, determine whether Sis a basis for the given vector space. S={(4,3),(5,2)} for R2arrow_forwardProof Prove Theorem 4.12. THEOREM 4.12 Basis Tests in an n-Dimensional Space Let V be a vector space of dimension n. 1. If S={v1,v2,,vn} is a linearly independent set of vectors in V, then S is a basis for V. 2. If S={v1,v2,,vn} spans V, then S is a basis for V.arrow_forwardProof 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_forward
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