Need help understanding range of a linear tansformation

In summary, the column space of a matrix is the set of all possible linear combinations of its column vectors and is a subspace of m-dimensional Euclidean space. The dimension of the column space is known as the rank of the matrix. This concept can be confusing, as different sources may explain it differently.
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eyehategod
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I've been reading my book on finding the range of a linear transformation but can't understand it. Let's say:
T(x)=Ax
then the range(T)=columnSpace(A), right?

But I've gotten confused so much about columnspaces b/c I've read many books and websites that explain it differently from each other. Can anybody explain to me in plain English how to find the columnspace(A) so I can find the range(T). Thanks in advance.
 
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FAQ: Need help understanding range of a linear tansformation

What is a linear transformation?

A linear transformation is a mathematical function that maps a vector from one vector space to another vector space while preserving its properties. It is a fundamental concept in linear algebra and is used to describe many real-world phenomena.

What is the range of a linear transformation?

The range of a linear transformation is the set of all possible output values that the transformation can produce. It is also known as the image of the transformation and is a subset of the codomain (or target space) of the transformation.

How is the range of a linear transformation determined?

The range of a linear transformation can be determined by applying the transformation to all possible input vectors and collecting the resulting output vectors. The resulting set of output vectors is the range of the transformation.

What is the significance of the range of a linear transformation?

The range of a linear transformation is important because it gives insight into the behavior and properties of the transformation. It can also help determine if the transformation is onto (surjective) or not.

How does the range of a linear transformation relate to its rank?

The range of a linear transformation is closely related to its rank. The rank of a transformation is the dimension of its range. This means that the number of linearly independent output vectors in the range is equal to the rank of the transformation.

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