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Please answer all if possible. Question 15: Do the vectors below form a basis for R3?...
Question 16: Carefully consider if equalities below valid for matrices. For each equality state if there is a restriction on dimensions under which they are valid or are there any other properties of matrices for which each might be valid, if ever? (a) 2(A - B) = 2A - 2B (b) (A - B)2 = A2 - 2AB + B2 (c) (A - B)(A + B) = A2 - B2
Question 15: Do the vectors below form a basis for R3? If so, explain. If not, remove as many vectors as you need to form a basis and show that the resulting set of vectors form a basis for R3. -- () -- () -- ().- 0 1
Question 3 (10 marks) Suppose B-[bi, b2] and Cci, c2) are bases for a vector space V, even though we do not know the coordinates of all those vectors relative to the standard basis. However, we know that bi--c1 +3c2 and b2-2c1 -4c2 (a) Show that if C is a basis, then B is also a basis (b) Find N, given that x-5but 3b2. (c) Find lyle given that y Зе-5c2. Question 3 (10 marks) Suppose B-[bi, b2] and Cci,...
please answer the question 2) (1 point) For each transformation below, determine a basis for (Range(T)) Note that if you do not need a basis vector, then write o for entries of that basis vector. For example, if you only need 2 vectors in your basis, then write 0 in all boxes corresponding to the third vector 9 Let 7 [a ] la 250e6d 20 +56 + 10 +14d 2a +65 +2c + 160 4a +(12)+( 4)c+(32) d -30 +...
can anybody explain how to do #9 by using the theorem 2.7? i know the vectors in those matrices are linearly independent, span, and are bases, but i do not know how to show them with the theorem 2.7 a matrix ever, the the col- ons of B. e rela- In Exercises 6-9, use Theorem 2.7 to determine which of the following sets of vectors are linearly independent, which span, and which are bases. 6. In R2t], bi = 1+t...
please help to solve that question very appreciate if you can help me to solve all the part as my due date coming soon but got stuck in this question. Consider two separate linear regression models and For concreteness, assume that the vector yi contains observations on the wealth ofn randomly selected individuals in Australia and y2 contains observations on the wealth of n randomly selected individuals in New Zealand. The matrix Xi contains n observations on ki explanatory variables...