Theorem 1.8.2 says that a transformation, T : R" → R" is linear (i.e. a matrix transformation) if and only if the following relationships hold for all vectors ū and v in R" and all scalars k: T(и + v) -т(и)+т(), and T(kū) = kT(ü) (i) (ii) Use this theorem to determine whether or not the transformation T defined by T(x, y, z)= (y– 2z, 3z + xy) is linear.

Linear Algebra: A Modern Introduction
4th Edition
ISBN:9781285463247
Author:David Poole
Publisher:David Poole
Chapter6: Vector Spaces
Section6.6: The Matrix Of A Linear Transformation
Problem 22EQ
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Theorem 1.8.2 says that a transformation, T : R" → R" is linear (i.e. a matrix
transformation) if and only if the following relationships hold for all vectors ū and v in
4.
R" and all scalars k :
T(ū + v) = T(ü)+ T(v), and
T(kū) = kT(ü)
(i)
(ii)
Use this theorem to determine whether or not the transformation T defined by
T(x, y, z)= (y – 2z,3z + xy)
is linear.
Transcribed Image Text:Theorem 1.8.2 says that a transformation, T : R" → R" is linear (i.e. a matrix transformation) if and only if the following relationships hold for all vectors ū and v in 4. R" and all scalars k : T(ū + v) = T(ü)+ T(v), and T(kū) = kT(ü) (i) (ii) Use this theorem to determine whether or not the transformation T defined by T(x, y, z)= (y – 2z,3z + xy) is linear.
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