Linear Algebra Exercises-n-Answers.pdf
Linear Algebra Exercises-n-Answers.pdf
Linear Algebra Exercises-n-Answers.pdf
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<strong>Answers</strong> to <strong>Exercises</strong> 169<br />
Four.II.1.18 (a) If it is defined then it is (3 2 ) · (2) · (2 −2 ) · (3).<br />
(b) |6A 3 + 5A 2 + 2A| = |A| · |6A 2 + 5A + 2I|.<br />
Four.II.1.19<br />
∣ cos θ − sin θ<br />
sin θ cos θ ∣ = 1<br />
Four.II.1.20<br />
No, for instance the determinant of<br />
( )<br />
2 0<br />
T =<br />
0 1/2<br />
is 1 so it preserves areas, but the vector T⃗e 1 has length 2.<br />
Four.II.1.21<br />
Four.II.1.22<br />
It is zero.<br />
Two of the three sides of the triangle are formed by these vectors.<br />
⎛ ⎞ ⎛ ⎞ ⎛ ⎞ ⎛<br />
⎠ −<br />
⎠ ⎝ 3<br />
⎞ ⎛ ⎞ ⎛ ⎞<br />
⎠ − ⎠ = ⎠<br />
⎝ 2 2<br />
2<br />
⎝ 1 2⎠ =<br />
1<br />
⎝ 1 0<br />
1<br />
One way to find the area of this triangle is to produce a length-one vector orthogonal to these two.<br />
From these two relations<br />
⎛ ⎞ ⎛ ⎞ ⎛ ⎞ ⎛ ⎞ ⎛ ⎞ ⎛ ⎞<br />
we get a system<br />
with this solution set.<br />
⎝ 1 0<br />
1<br />
A solution of length one is this.<br />
⎠ ·<br />
⎝ x y⎠ =<br />
z<br />
⎝ 0 0<br />
0<br />
⎠<br />
x + z = 0<br />
2x − 3y + 3z = 0<br />
−1<br />
4<br />
⎝ 2 −3<br />
3<br />
⎠ ·<br />
⎝ 1 2<br />
1<br />
⎝ x y⎠ =<br />
z<br />
⎝ 2 −3<br />
3<br />
⎝ 0 0<br />
0<br />
−2ρ 1 +ρ 2<br />
−→<br />
x + z = 0<br />
−3y + z = 0<br />
⎛<br />
{ ⎝ −1<br />
⎞<br />
1/3⎠ z ∣ z ∈ R},<br />
1<br />
⎛<br />
1<br />
√ ⎝ −1<br />
⎞<br />
1/3⎠<br />
19/9 1<br />
Thus the area of the triangle is the absolute value of this determinant.<br />
1 2 −3/ √ 19<br />
0 −3 1/ √ 19<br />
∣1 3 3/ √ 19 ∣ = −12/√ 19<br />
Four.II.1.23 (a) Because the image of a linearly dependent set is linearly dependent, if the vectors<br />
forming S make a linearly dependent set, so that |S| = 0, then the vectors forming t(S) make a<br />
linearly dependent set, so that |T S| = 0, and in this case the equation holds.<br />
(b) We must check that if T kρ i+ρ j<br />
−→ ˆT then d(T ) = |T S|/|S| = | ˆT S|/|S| = d( ˆT ). We can do this by<br />
checking that pivoting first and then multiplying to get ˆT S gives the same result as multiplying first<br />
to get T S and then pivoting (because the determinant |T S| is unaffected by the pivot so we’ll then<br />
have that | ˆT S| = |T S| and hence that d( ˆT ) = d(T )). This check runs: after adding k times row i of<br />
T S to row j of T S, the j, p entry is (kt i,1 + t j,1 )s 1,p + · · · + (kt i,r + t j,r )s r,p , which is the j, p entry<br />
of ˆT S.<br />
(c) For the second property, we need only check that swapping T ρ i↔ρ j<br />
−→ ˆT and then multiplying to get<br />
ˆT S gives the same result as multiplying T by S first and then swapping (because, as the determinant<br />
|T S| changes sign on the row swap, we’ll then have | ˆT S| = −|T S|, and so d( ˆT ) = −d(T )). This<br />
ckeck runs just like the one for the first property.<br />
For the third property, we need only show that performing T kρi<br />
−→ ˆT and then computing ˆT S<br />
gives the same result as first computing T S and then performing the scalar multiplication (as the<br />
determinant |T S| is rescaled by k, we’ll have | ˆT S| = k|T S| and so d( ˆT ) = k d(T )). Here too, the<br />
argument runs just as above.<br />
The fourth property, that if T is I then the result is 1, is obvious.<br />
(d) Determinant functions are unique, so |T S|/|S| = d(T ) = |T |, and so |T S| = |T ||S|.<br />
⎠