A. Orthogonal projection onto the y-axis in R². Consider the linear transformation that projects all points in the plane horizontally onto the y-axis. The point (x, y) maps to point (0, y). We can define the transformation T: R² R² by T(x) = Ax for some 2 x 2 matrix A. 0 0 0 0 0 Remember that if Ker(T) is trivial, then it has no basis. Select vectors that form a basis for Ker(T), if such a basis exists. There is no basis for the kernel of T. [8] ( H H G] H Pre-image (before transformation) [2] [7] [2] 0 K(0,3) M(0,2) (a,b) 2 L(2,2.5) 3 Image (after transformation) 24 4 O 4 K'(0,3) L'(0,2.5) M'(0,2) J'(0,0) 1 2 3
A. Orthogonal projection onto the y-axis in R². Consider the linear transformation that projects all points in the plane horizontally onto the y-axis. The point (x, y) maps to point (0, y). We can define the transformation T: R² R² by T(x) = Ax for some 2 x 2 matrix A. 0 0 0 0 0 Remember that if Ker(T) is trivial, then it has no basis. Select vectors that form a basis for Ker(T), if such a basis exists. There is no basis for the kernel of T. [8] ( H H G] H Pre-image (before transformation) [2] [7] [2] 0 K(0,3) M(0,2) (a,b) 2 L(2,2.5) 3 Image (after transformation) 24 4 O 4 K'(0,3) L'(0,2.5) M'(0,2) J'(0,0) 1 2 3
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
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