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2 cards from this section. Quick, good the night before a test.
Define a linear transformation.
Think about the properties involved in vector addition.
What is the image of a linear transformation?
What do we call the output set of a function?
What is a linear transformation?
Look back at how it preserves vector operations.
True or False: The kernel of a linear transformation is always a subspace of the target vector space.
Think about where the zero vector maps.
Given a linear transformation T: R² → R² represented by the matrix A = [[2, 0], [0, 3]], determine the image and kernel of T.
Think about how matrix transformations affect the unit vectors.
Consider the linear transformation T(x, y) = (x + y, x - y). Is T one-to-one? Justify your answer.
Analyze the equations derived from setting T to zero.
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