I cant understand some terminology

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The discussion centers on the concept of linear transformations in the context of vector spaces, specifically focusing on the transformation T defined by T(1,2)=(3,4) and T(3,4)=(3,4). It establishes that the vectors (1,2) and (3,4) are linearly independent and form a basis for R2, leading to the conclusion that the image of T, denoted as ImT, has a dimension of 1. The term "spans ImT" indicates that any vector in the image can be expressed as a scalar multiple of (3,4), confirming that the transformation is singular due to the equal dimensions of the image and kernel.

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"T(1,2)=(3,4)
T(T(1,2))=T(3,4)=(3,4)

(1,2) and (3,4) are linearly independent and form a basis of R2, so (3,4) spans ImT. Therefore dim(imT)=1, and obviously dim(kerT)=1, so the transformation is singular."

this is a solution to some problem
i can't understand what is "spans an image"
i got
T(1,2)=(3,4)
and
T(3,4)=(3,4)

i know that the image is the resolt of putting the vector in the transformation

but what meens

"(3,4) spans ImT"
??
 
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That it spans the image of T means that any element in ImT can be represented as \gamma*(3,4) for some real number \gamma

Now, to prove this, an ARBITRARY vector in R2 can be represented as:
\vec{v}=\alpha(3,4)+\beta(1,2)[/itex] since those two are linearly independent.<br /> <br /> Therefore using the properties of a linear transformation, we get:<br /> T(\vec{v})=\alpha{T}(3,4)+\beta{T}(1,2)=\gamma(3,4), \gamma=\alpha+\beta
 
thanks
 

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