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anonymous
 5 years ago
Which of the following sets of vectors are bases for R^2 ?
a). {(0, 1), (1, 1)}
b). {(1, 0), (0, 1), (1, 1)}
c). {(1, 0), (−1, 0}
d). {(1, 1), (1, −1)}
e). {((1, 1), (2, 2)}
f ). {(1, 2)}
anonymous
 5 years ago
Which of the following sets of vectors are bases for R^2 ? a). {(0, 1), (1, 1)} b). {(1, 0), (0, 1), (1, 1)} c). {(1, 0), (−1, 0} d). {(1, 1), (1, −1)} e). {((1, 1), (2, 2)} f ). {(1, 2)}

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anonymous
 5 years ago
Best ResponseYou've already chosen the best response.0so for this, the concept is, which of these vectors can serve as the basis for constructing the 2d plane of real numbers...so imagine you have two vectors and you can multiply them by values and add them together...so you want to see if you can construct every point in the 2d plane with just manipulating 2 vectors

anonymous
 5 years ago
Best ResponseYou've already chosen the best response.0so f is ruled out....you would only get vectors of varying magnitude

anonymous
 5 years ago
Best ResponseYou've already chosen the best response.0i think e can be ruled out for a similar concept: (2,2) is just (1,1) with twice the magnitude

anonymous
 5 years ago
Best ResponseYou've already chosen the best response.0b cannot be a basis for R^2 since there are 3 vectors, so one must be a lincomb of the others i.e. (1,1) = 1(1,0) + 1(0,1)

anonymous
 5 years ago
Best ResponseYou've already chosen the best response.0c is not because one vector is a lincomb of the other (1,0) = 1(1,0). Which leaves a and d, which are both bases in R^2 as neither contain lincombs.

anonymous
 4 years ago
Best ResponseYou've already chosen the best response.0The answer is (d). The dot product of the two vectors provided in (d) is 0, which means they are orthogonal and therefore form a basis for R^2. The following fail because: (a) : the vectors are not orthogonal to each other (b) : any basis for R^2 contains two vectors (c) : the two vectors lie on the same line (they are scalar multiples of each other) (e) : the two vectors lie on the same line (they are scalar multiples of each other) (f) : any basis for R^2 contains two vectors
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