Prove that if the columns of A are linearly independent then T is one to one

Elementary Linear Algebra (MindTap Course List)
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Chapter7: Eigenvalues And Eigenvectors
Section7.CM: Cumulative Review
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Assume T: R^m to R^n is a matrix transformation with matrix A. 

Prove that if the columns of A are linearly independent then T is one to one. (i.e injective) (Hint: Remember the matrix transformations satisfy the linearity properties.)

 

Linearity Properties: 

If A is a matrix, v and w are vectors and c is a scalar then, 

A0=0

A(cv)=cAv

A(v+w)=Av+Aw

 

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