Exercise 20.11. Consider the plane P= span Let x- e (a) Calculate Projp(x) by using the Gram-Schmidt process to find an orthogonal basis for P. (b) Calculate Projp(x) by finding a (nonzero) normal vector to Pand then subtracting the projection onto that. (c) By applying the method from (b) to the other vectors e, and ey in the standard basis for R°, compute the 3 x 3 matrix A representing Projp : R → R'. (d) Calculate Projp(x) by using the self-contained recipe in Theorem20.5.3dllustrated in Example Theorem 20.5.3. For linearly independent v., . Vm € R" spanning a subspace W of R" and the associated n x m matrix V whose jth column is vj. the projection of any x e R" into W is Projw x = cvi + eva +..+ CVm where the coeficients es,..,cm are the entries in the m- - (V'V)-'V"x. vector

Linear Algebra: A Modern Introduction
4th Edition
ISBN:9781285463247
Author:David Poole
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Chapter6: Vector Spaces
Section6.6: The Matrix Of A Linear Transformation
Problem 38EQ
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Exercise 20.11. Consider the plane P= span
Let x- e
(a) Calculate Projp(x) by using the Gram-Schmidt process to find an orthogonal basis for P.
(b) Calculate Projp(x) by finding a (nonzero) normal vector to Pand then subtracting the projection
onto that.
(c) By applying the method from (b) to the other vectors e, and ey in the standard basis for R°,
compute the 3 x 3 matrix A representing Projp : R → R'.
(d) Calculate Projp(x) by using the self-contained recipe in Theorem20.5.3dllustrated in Example
Theorem 20.5.3. For linearly independent v., . Vm € R" spanning a subspace W of R" and
the associated n x m matrix V whose jth column is vj. the projection of any x e R" into W is
Projw x = cvi + eva +..+ CVm where the coeficients es,..,cm are the entries in the m-
- (V'V)-'V"x.
vector
Transcribed Image Text:Exercise 20.11. Consider the plane P= span Let x- e (a) Calculate Projp(x) by using the Gram-Schmidt process to find an orthogonal basis for P. (b) Calculate Projp(x) by finding a (nonzero) normal vector to Pand then subtracting the projection onto that. (c) By applying the method from (b) to the other vectors e, and ey in the standard basis for R°, compute the 3 x 3 matrix A representing Projp : R → R'. (d) Calculate Projp(x) by using the self-contained recipe in Theorem20.5.3dllustrated in Example Theorem 20.5.3. For linearly independent v., . Vm € R" spanning a subspace W of R" and the associated n x m matrix V whose jth column is vj. the projection of any x e R" into W is Projw x = cvi + eva +..+ CVm where the coeficients es,..,cm are the entries in the m- - (V'V)-'V"x. vector
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