Let A be an m × n matrix such that ker(A) = {⃗0} and let ⃗v1,⃗v2,...,⃗vq be linearly independent vectors in Rn. Show that A⃗v1, A⃗v2, . . . , A⃗vq are linearly independent vectors in Rm.
Let us assume that Av1, Av2, . . . , Avq are linearly dependent vectors in Rm. Then there exist scalars c1,c2,…,cq, not all zero such that c1Av1 + c2Av2+…+ cqAvq = 0 or, A(c1 v1 +c2 v2+…+cq vq) = 0.
Now, since ker(A) = {0}, this implies that c1 v1 +c2 v2+…+cq vq = 0. However, since the vectors v1,v2,...,vq are linearly independent in Rn, hence c1 = c2 = …cq = 0. This is a contradiction . Therefore, Av1, Av2, . . . , Avq are linearly independent vectors in Rm.
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