Verifying Inequalities In Exercises
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Elementary Linear Algebra
- Verifying the Triangle Inequality. In Exercises 5962, verify the triangle inequality for the vectors u and v. u=(1,1), v=(2,0)arrow_forwardVerifying the Cauchy-Schwarz Inequality In Exercises 35-38, verify the Cauchy-Schwarz inequality for the vectors. u=(6,8), v=(3,2).arrow_forwardCalculusIn Exercises 29 and 30, a find the inner product, b determine whether the vectors are orthogonal, and c verify the Cauchy-Schwarz Inequality for the vectors. f(x)=x,g(x)=1x2+1,f,g=11f(x)g(x)dxarrow_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_forwardVector Operations In Exercises 19-24, let u=(1,2,3), v=(2,2,-1), and w=(4,0,-4). Find 2u+4vw.arrow_forwardTrue or False? In Exercises 57and 58, determine whether each statement is true or false. If a statement is true, give a reason or cite an appropriate statement from 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) To subtract two vectors in Rn, subtract their corresponding components. (b) The zero vector 0 in Rn is the additive inverse of a vector.arrow_forward
- Proof Complete the proof of the cancellation property of vector addition by justifying each step. Prove that if u, v, and w are vectors in a vector space V such that u+w=v+w, then u=v. u+w=v+wu+w+(w)=v+w+(w)a._u+(w+(w))=v+(w+(w))b._u+0=v+0c._ u=vd.arrow_forwardTrue or False?In Exercises 73 and 74, determine whether the 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 The length or norm of a vector is v=|v1+v2+v3++vn|. b The dot product of two vectors u and v is another vector represented by uv=(u1v1,u2v2,u3v3,,unvn).arrow_forwardVector Operations In Exercises 19-24, let u=(1,2,3), v=(2,2,-1), and w=(4,0,-4). Find u-v and v-u.arrow_forward
- Take 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_forwardReview Exercises Solving a Vector Equation In Exercises 5-8, solve for x where u=(1,1,2), v=(0,2,3) and w=(0,1,1) 2xu+3v+w=0arrow_forwardVerifying InequalitiesIn Exercises 53-64, verify a the Cauchy-Schwarz Inequality and b the triangle inequality for given vectors and inner products. Calculusf(x)=sinx, g(x)=cosx, f,g=0/4f(x)g(x)dxarrow_forward
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