Problem 10. Let T : P3 → M2×2 be the function defined by T(p) = [p(0) - p(1) ''(2)] . (a) Prove that T is a linear transformation. (b) Find the image of T. (c) Find the kernel of T. Rank-nullity theorem p(0)+p(1) Problem 11. In the exercises of the previous subsection, whenever you had computed one of the kernel/image of the transformation, could you have guessed the dimension of the other? Problem 12. Find all the surjective linear transformations from R³ to R4. Problem 13. Let V, W be finite-dimensional vector spaces. Prove that there exists an injective linear trans- formation L: VW dim(V) ≤ dim(W). Problem 5. (a) Consider a reflection R through the line y = x in R2. Find a basis of R² for which it is easy to describe how R transforms the vectors inside it. Express R as a matrix transformation. (b) Consider a projection P on the line and 固 У = 2x in R2. Draw a picture of the line together with the vectors Describe how P transforms the two vectors. Can you express P as a matrix transformation? Problem 6. Let R denote a counterclockwise rotation by an angle of 0 in R². Express R as a matrix transfor- mation.
Problem 10. Let T : P3 → M2×2 be the function defined by T(p) = [p(0) - p(1) ''(2)] . (a) Prove that T is a linear transformation. (b) Find the image of T. (c) Find the kernel of T. Rank-nullity theorem p(0)+p(1) Problem 11. In the exercises of the previous subsection, whenever you had computed one of the kernel/image of the transformation, could you have guessed the dimension of the other? Problem 12. Find all the surjective linear transformations from R³ to R4. Problem 13. Let V, W be finite-dimensional vector spaces. Prove that there exists an injective linear trans- formation L: VW dim(V) ≤ dim(W). Problem 5. (a) Consider a reflection R through the line y = x in R2. Find a basis of R² for which it is easy to describe how R transforms the vectors inside it. Express R as a matrix transformation. (b) Consider a projection P on the line and 固 У = 2x in R2. Draw a picture of the line together with the vectors Describe how P transforms the two vectors. Can you express P as a matrix transformation? Problem 6. Let R denote a counterclockwise rotation by an angle of 0 in R². Express R as a matrix transfor- mation.
Elementary Linear Algebra (MindTap Course List)
8th Edition
ISBN:9781305658004
Author:Ron Larson
Publisher:Ron Larson
Chapter4: Vector Spaces
Section4.5: Basis And Dimension
Problem 69E: Find a basis for R2 that includes the vector (2,2).
Related questions
Question
![Problem 10. Let T : P3 → M2×2 be the function defined by
T(p) = [p(0) - p(1) ''(2)] .
(a) Prove that T is a linear transformation.
(b) Find the image of T.
(c) Find the kernel of T.
Rank-nullity theorem
p(0)+p(1)
Problem 11. In the exercises of the previous subsection, whenever you had computed one of the kernel/image
of the transformation, could you have guessed the dimension of the other?
Problem 12. Find all the surjective linear transformations from R³ to R4.
Problem 13. Let V, W be finite-dimensional vector spaces. Prove that there exists an injective linear trans-
formation L: VW dim(V) ≤ dim(W).](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Faec7c000-a4aa-4a0b-82b8-229cb8c591c4%2Fff675f68-9dff-4c7f-a03e-5065179634b7%2Fxdjlwkv_processed.png&w=3840&q=75)
Transcribed Image Text:Problem 10. Let T : P3 → M2×2 be the function defined by
T(p) = [p(0) - p(1) ''(2)] .
(a) Prove that T is a linear transformation.
(b) Find the image of T.
(c) Find the kernel of T.
Rank-nullity theorem
p(0)+p(1)
Problem 11. In the exercises of the previous subsection, whenever you had computed one of the kernel/image
of the transformation, could you have guessed the dimension of the other?
Problem 12. Find all the surjective linear transformations from R³ to R4.
Problem 13. Let V, W be finite-dimensional vector spaces. Prove that there exists an injective linear trans-
formation L: VW dim(V) ≤ dim(W).
Transcribed Image Text:Problem 5. (a) Consider a reflection R through the line y = x in R2. Find a basis of R² for which it is easy
to describe how R transforms the vectors inside it. Express R as a matrix transformation.
(b) Consider a projection P on the line
and
固
У
=
2x in R2. Draw a picture of the line together with the vectors
Describe how P transforms the two vectors. Can you express P as a matrix transformation?
Problem 6. Let R denote a counterclockwise rotation by an angle of 0 in R². Express R as a matrix transfor-
mation.
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