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Linear Algebra with Applications (3rd Edition)

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Quiz 2 SolutionsFebruary 28, 2005Problem 1For the first part: the equation of the plane orthogonal to agiven~vR3is~x·~v= 0. Applying this formula to our problem and writing~x= (x, y, z), we getx+ 2y+ 3z= 0.For the second part, we have a formula for the reflection of~win a planeP:refP(~w) =~w-2~wwhere~wis the component of~wperpendicular toP. But this is just~w-2(~w·ˆvv,where ˆvis a unit vector normal toP.Applying this formula with ˆv=114[123],~w= [456], we getrefP(~w) =17-2-25-48Problem 2First we find the elementary row operations that reduceAtoreduced row echelon form (if possible):1012-10011---------→-2(I) + (II)*1010-1-2011---------→(II) + (III)*1010-1-200-1---------------------→-2(III) + (II)*,(III) + (I)*1000-1000-1-----------→-(II)*,-(III)*1000100011
SinceAcan be reduced to the identity matrix by elementary row operations,Ais invertible.Applying these same row operations to the 3×3 identitymatrix gives us
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Term
Spring
Professor
CONSANI
Tags
Linear Algebra, Algebra, Invertible matrix, elementary row operations

Unformatted text preview: matrix gives us A-1 : A-1 = -1 1 1-2 1 2 2-1-1 Problem 3 Let ~v = 1 √ 2 1 1 . Note that the plane P defined by x + z = 0 is just the plane normal to ~v . The problem demands a linear transformation T : R 3 → R 3 with kernel ~v and image P . Such a transformation T is given by T ( ~x ) = proj P ~x . To see this, note that ~v , being normal to P , is in the kernel of T . Moreover, T ( R 3 ) = P by definition. So this is the transformation we’re looking for. To find the matrix of T , write proj P ~x = ~x-~x ⊥ = ~x-( ~x · ~v ) ~v. = ( I-proj ~v ) ~x. The matrix of proj ~v is (from HW 3) B = 1 / 2 1 / 2 1 / 2 1 / 2 Thus the matrix of T is I-B , or 1 / 2-1 / 2 1-1 / 2 1 / 2 2...
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