Problem 1. Choose all in the box that applies to the following set (with explanation): Linearly...
Consider a set ?=(?⃗ 1,?⃗ 2,?⃗ 3), where ?⃗ 1=(12√,0,−12√) ?⃗ 2=(12,12√,12) ?⃗ 3=(12,−12√,12) Mark all true statements The set ? is an orthogonal set The set ? is an orthonormal set ?⃗ 1,?⃗ 2,?⃗ 3 are all unit vectors ?⃗ 1,?⃗ 2,?⃗ 3 are linearly dependent ?⃗ 1,?⃗ 2,?⃗ 3 are linearly independent ?⃗ ?⋅?⃗ ?=0 where (??,??∈?∧?≠?) ?⃗ ?⋅?⃗ ?=1 where (??,??∈?∧?≠?) ?⃗ ?⋅?⃗ ?=0 where (??,??∈?∧?=?) ?⃗ ?⋅?⃗ ?=1 where (??,??∈?∧?=?) ? is an orthonormal basis for...
Ch6 Inner-product and Orthogonality: Problem 14 Previous Problem Problem List Next Problem (1 point) All vectors are in R". Check the true statements below: A. Not every linearly independent set in R" is an orthogonal set B. If the vectors in an orthogonal set of nonzero vectors are normalized, then some of the new vectors may not be orthogonal. C. A matrix with orthonormal columns is an orthogonal matrix. D. If L is a line through 0 and itỷ is...
3. Consider the following vectors, where k is some real number. H-11 Lol 1-1 a. For what values of k are the vectors linearly independent? b. For what values of k are the vectors linearly dependent? c. What is the angle (in degrees) between u and v? 4. Here are two vectors in R". Let V = the span of {"v1r2} a. Find an orthogonal basis for V (the orthogonal complement of V). b. Find a vector that is neither...
6.2.24 Justify each Assume all vectors are in R. Mark each statement True or False. Justify each answer a. Not every orthogonal set in Rn is linearly independent. O A. False. Orthogonal sets must be linearly independent in order to be orthogonal. O B. True. Every orthogonal set of nonzero vectors is linearly independent, but not every orthogonal set is linearly independent. O C. False. Every orthogonal set of nonzero vectors is linearly independent and zero vectors cannot exist in...
(1 point) All vectors are in R". Check the true statements below: A. Not every orthogonal set in R™ is a linearly independent set. B. If a set S= {ui,...,Up} has the property that uiU;=0 whenever i+j, then S is an orthonormal set. C. If the columns of an m x n matrix A are orthonormal, then the linear mapping 1 → Ax preserves lengths. D. The orthogonal projection of y onto v is the same as the orthogonal projection...
Determine if the columns of the matrix form a linearly independent set. 1 2 - 3 8 12 37 -6 38 - 1 -8 Select the correct choice below and fill in the answer box to complete your choice. A. The columns are not linearly independent because the reduced row echelon form of [ A o]is | The columns are linearly independent because the reduced row echelon form of [ A 0 ] is B.
1. Determine whether the following set is linearly independent or not. Prove your clas a. [1+1, 2+2-2,1 +32"} b. {2+1, 3x +3',-6 +2"} 8. Let T be a linear transformation from a vector space V to W over R. . Let .. . be linearly independent vectors of V. Prove that if T is one to one, prove that (un)....(...) are linearly independent. (m) is ) be a spanning set of V. Prove that it is onto, then Tu... h...
Determine if the columns of the matrix form a linearly independent set. 1 2-3 1 2 5 - 4 -2 - 14 2 7 2 Select the correct choice below and fill in the answer box to complete your choice. A. The columns are not linearly independent because the reduced row echelon form of is A 0 B. The columns are linearly independent because the reduced row echelon form ofA 0 is
(1 point) Are the following statements true or false? ? 1. If W = Span{V1, V2, V3 }, and if {V1, V2, V3 } is an orthogonal set in W, then {V1, V2, V3 } is an orthonormal basis for W. ? 2. If x is not in a subspace W, projw(x) is not zero. then x ? 3. In a QR factorization, say A = QR (when A has linearly independent columns), the columns of Q form an orthonormal...
(3) Determine which of the following sets is linearly independent. 02-1 (a) If the set is linearly dependent, express one vector as a non-zero linear combination of the other vectors in the set. (b) If the set is linearly independent, show that the only linear combination of the above vectors which gives the zero vector is such that all scalars are zero. (c) For each of the sets, determine if the span of the vectors is the whole space, a...