(d) What is det B? 6 (e) Let N be the same parallelogram as in part (b). What is the area of the transformed parallelogram B(N)? Is the ratio Area(B(N))/Area(N) 6 equal to det B|? (Write "yes" or "no". Capitalization doesn't matter.) yes .So, in summary, let's think more generally: (f) True/false. If SN is a 2-dimensional parallelogram inside R3 and T(ä) = Aa is a linear transformation from R³ to R³, then the area of T(N) is equal to | det A| · (area of N). (Write "true" or "false". Capitalization doesn't matter)

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Please answer d, e, f

9:07 PM Tue Dec 1
17% I
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+: 0
The theorems about determinants and areas/volumes
of parallelepipeds always consider "full-dimensional"
shapes, like 2-dimensional shapes in R², 3-
dimensional shapes in R³, and n-dimensional shapes
in R". Let's see what happens when we consider a
lower-dimensional shape in a bigger-dimensional
space.
(a) Let T be the linear transformation from R3 to R3
given by orthogonal projection onto the xy-plane.
(Then T is represented by the matrix
1 0 0
0 1 0.) What is det A?
A =
(b) Let N be the 2-dimensional square in R3 defined
Го
by
and
(which lies in the xy-plane). What
is the area of N?
1
What is the
area of T(N)?
(c) Now let B be the transformation of R3 defined by
[1
0 2 0
0 0
3
(d) What is det B? 6
(e) Let N be the same parallelogram as in part (b). What is
the area of the transformed parallelogram B(N)?
6
Is the ratio Area(B(N))/Area(2)
equal to | det B|? (Write "yes" or "no". Capitalization doesn't
matter.) yes
.So, in summary, let's think more generally:
(f) True/false. If N is a 2-dimensional parallelogram inside R3
and T(a) = A is a linear transformation from R3 to R³,
then the area of T(N) is equal to | det A| · (area of N).
(Write "true" or "false". Capitalization doesn't matter)
Transcribed Image Text:9:07 PM Tue Dec 1 17% I T. +: 0 The theorems about determinants and areas/volumes of parallelepipeds always consider "full-dimensional" shapes, like 2-dimensional shapes in R², 3- dimensional shapes in R³, and n-dimensional shapes in R". Let's see what happens when we consider a lower-dimensional shape in a bigger-dimensional space. (a) Let T be the linear transformation from R3 to R3 given by orthogonal projection onto the xy-plane. (Then T is represented by the matrix 1 0 0 0 1 0.) What is det A? A = (b) Let N be the 2-dimensional square in R3 defined Го by and (which lies in the xy-plane). What is the area of N? 1 What is the area of T(N)? (c) Now let B be the transformation of R3 defined by [1 0 2 0 0 0 3 (d) What is det B? 6 (e) Let N be the same parallelogram as in part (b). What is the area of the transformed parallelogram B(N)? 6 Is the ratio Area(B(N))/Area(2) equal to | det B|? (Write "yes" or "no". Capitalization doesn't matter.) yes .So, in summary, let's think more generally: (f) True/false. If N is a 2-dimensional parallelogram inside R3 and T(a) = A is a linear transformation from R3 to R³, then the area of T(N) is equal to | det A| · (area of N). (Write "true" or "false". Capitalization doesn't matter)
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