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The final exam for math 205 section b, including 9 questions related to matrices, linear transformations, quadratic forms, and orthonormal sets. The exam requires students to show their work to receive full credit and covers topics such as finding the basis for the column space of a matrix, writing a vector as a linear combination of other vectors, determining the consistency of a system of linear equations, and finding the inverse of a matrix.
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Name: S~Dl~u~J
. Check that you have 9 questions on four pages. . Show all your work to receive full credit for a problem.
1 -2 1
(a) Find a basis for Col A. What is dim Col A?
[
I 0 0
')
I~ yJ 1 l-w"'O to I \A VY)V.S. r. ' 1
, ri
]
'
[
]
( tv f ~\ A:::
. L.
?. - it 1 0 I j! .--3 5- J '
0 I
(b) Write one of the columns of A as a linear combination of the other two columns. (You can use your answer in part (a) to decide which column to write as a linear combination
.
3
..
"
.
\
<
.
H ert
...
" tNrJ
...
c'th Vv ..
<t:t) ~\j' t~-
.
e..... A e
1
0 0 () ~P, _1Y_^ ~~.^ ~ (~fV.,(,,--J-YI(- 'f-.^ I~ yD^ t,:,^ e.-^.
1 -2...
.
c; C],^ (2. J^ I ~-^5
[
-'
(c) Is the equation Ax = b consistent for every choice of b? Explain. S. (^) I Y'\Ct- -1--\e...~t-\Jr'l(( I I.^ d~ e ~Ir, '"^ e to f'\ hJ'! I;^ ()oI 0 ~ Q^ 1\ C(11(:'fl.^ J Y(H- i
G"- P IvO b- in eA J.. I)-~, l"h e.. e ..,, (^) /Altv.Jn"Y)^ A X^ -:::^ t;; /). (.
u.
(a) Use coordinate vectors to show that B ={Pl, P2, P3} is a basis for JP>2'Find the polynomial
if in 11'" given that [q]B ~ [ -~].
~ f"'l ~ fO' ]
.- ['2-
tl =: L-~ r p 1- =: L-I I P3 ~ rt J
r
l [
I 0 0
]
,. ' 0 I -2 IV 0 I 0. So !p:, is
-. --, .-- J
[
I
]
r 0
] (^) [
"
~;:: I PI - 2 p,- f' PJ> -= -~ -'2-l-: + -f :::-'L ]
l\IV.I' .~. tz,~ S"~ _c_ ris" Yet h~ jjJ
_l_ b) .t1-j ~ i lrl-)
{~, bCtS (j~ y IPl-.
(b) Define a linear transformation T : JP>2- }R2by T(ao + alt + a2t2) = [
ao ]
. Find al + a T(pd, T(ih), and T(P3)'
liB);:: [o~J:oh:J
[
a.
=. [
[)
J
'~
-1 Cf~)=- f (^2).
.
[
~' L-2-t1 .] (c) For the linear transformation T defined in part (b), the kernel of T is a subspace of JP> of dimension one. Find a basis for the kernel of T. (Your answer to part (b) can help you to find a basis.) Is T one-to-one? Explain.
W~ k,w TLfJ-)= [g] (f..YIA 4,)).
So ~ ;5' If\ k~Yht' O~ T.. .-. -
~jrw.. ker T IJ O~ .tln O'Y\€.. I 10 ASll h,y ~U T - t f>- S.
'I h<- L1lA ,,-.h1M I ( 'i) -::: D ~td 0.. N:J ,,: h'Vt "I [0 k,h ''>
bLL ~,'-lJ <. p;. LS C/Y\ e .\c l-J, v~ ()~. ~ is t-7 l/~" C;''Y).
4, (12 points) Let W be the subspace spanned by the two vectors '" = [ j ] and "" = [ -~],
(a) Is {UI) U2} an orthogonal basis for W? Explain.
4,. U" = b- 3 - 3 =-0 So ~ 4, );:j~ J if ~f, 07{l,°YA~r Jek '
t:" ~.-( 'R. J" "I.": t-J el-, if II """yl d i I'. J "f €A-J u--.f.
So {4; I Ih 3 i.J t\ ks',s {;,-r Wlhld It U. <", o-rfhcgoV"j hi1ftJ
(b) Let ii = [~], Find a vector in W that is closest to ii and then find the distance
VtJ".r~1- W ~,J: - l!- clvJeJ~ h Y U ~""'1 b(j .!). U ' ( - It (^) (
j '::~' v~ Lt( 1- ~(L J.- ~}... ~ .v,,= 0 4, .IT, ~ .u). g-, U~ ;:; ~t 3--:;;-- (1 -
~ :LU; ::: LTi) ~ [i~J\h'u >-::; 36 -thC( = 5Zt
" 51-t^ (;^ L;^ 1'2-' J ~ D l\
'D,S hWL "',,~ 5 <1'\ <\ h):: ellS} Vif\ <t b~ '1 £1'1'" 'j ,
, ='II~-~Ii ~ 11 GftJ^ I^ :::vor-£i~ = [~. (c) Fmd a vector in W..L,.
V
i, .L
-. 'j - Y
[
' I/1- 1/1- (^) J '
(d) Find a basis and dimension of W..L. (Hint: Think geometrically and use your answer to part (c),) , tj i U J- U ~ bcU' i-e ~ , ~-J [e c"v l'n (,-J - 2- ' "'I f ~I).- ],,, ,~ hJ u Cl J'u. bJVltC€., (;1- eli mU\Ji~'h 2- 11', IIZ - .so
"
f t'\ n ~ In If-- ' I blc.Y\e. 111 IIZ3, So (^). ct ry\ vI-~ I. .~ - 1 I 'Jl_.I ~
I a Mn -l if"t-r iY) Vv lAir B teJi 1= t [,lfd J liAl.~ (,HLC L h).1- ,
Il~ if t(.
BttSif (;Y, ) [
<4j,U)SfCA {.( - L I Jj "
~ { [~lE --4 '-t
(^1) ~
] {^ l
]
{ ~ r~ ]
?
[
~ -~ ~ ' J
rV I ~ f il ' y,cu/1 ~ i ~t] 1
. 4 D ~ La 0 () J .'
[
1.
.
'n fh 4 (l\J, ~IU»1I1.=J4'f~tl ~ 3 ~o f=-
[
~I 2 '-L , p
"\ ,;i-t ~(.h. Gvl(,(lIv-f\ b'1 3 ~ 'rf~CL. ~'/3 '2-l
U J€- U:f'" vl,-t,u.,d 01- A h, ~U-7)I-t/h c h 1'\ J~"""l.
Ct ~cJ y ~hL ~-rfh:' I '?J x/I- -t- 7 )(~ -t x~.
S i/\ lL 'c 1\ 1t,e. ~1r'v<:~l..1es d A G\ ~ rUJi h'vt ,
Q ! P on h ~ d _eJ,) f_ J{:.
(a) Find the symmetric matrix A of the quadratic form.
A~ -'-i lJ'
0
7
-~
into one with no cross-product term. (You may use the fact that the eigenvalues of A are 13, 7, and 1.
~i A == J 3 ~ 4- I!> I :::;:. [
'- b ~ 4
J
N [
4 -~ 0 0 'i 0 -'-1 0
0 ..-1 °
~y ):=-1 ". A -11=-
t
o -~ 4
~1-/
1
(a) Find k such that Col A is a subspace of JRk.
k:::- '-1, (b) Is it possible that dim Nul A = 1? Explain. (Hint: use the rank theorem and your answer in part (a).)
&j ~"- Ya" l -rr" 0 rtAV; ,
\ f'\ CL
(;;::;. Yd~l A -r ctyv) N0v~ A
CO! 1+ Lr C~ Iu. [, S fC' '-t 4- if \ 1'0" l
Nvl A
A '(.1 ct.; 1Y')(;i~- '-I
Jo
~{),-_r (^) (;...t:)Y) 1:1. j' t (JY).0-. c-vt^ (€.O-J b^
2-
So dJM^ J'...'vJ^ A^ -:t^ I,
(a) If 4 is an eigenvalue of a matrix A, then what is det (A - 41)?
J~. C A- ~T) '= o.
(b) Suppose T : JR4 ~ JR3 is an ~ linear transformation. What is the dimension of range ofT? ~
L~ M I'"'Ct {(j e.: T -:::. 3 (c) For an .?rthogonal matrix<,;;.- U, what is the inverse of U? .T U
(d) Suppose B is a 5 x 5 matrix with det B = 10. What is det 2B?
dt1 2-~ ':=. 2' (,~el- b ':::: 2':/ J 0 -:::::3 '.
What is the standard matrix of T?
[-T( t1 ) T(^ r;.)^ I^ (€3fJ
~[~
~iJ D ~J
(f) What is the length of the vector [ j ]?
~
~ .~ - 1- '1-. ').. - ~ I to -f (-f{-IJ -- J
(g) Let A = PDP where P = 3 3 0 4 and D = 0 0 4 0. Wnte 2034 0005 the eigenvalues of A and a basis for the eigenspace of each eigenvalue.
b(tif'vU.lt. u of It: 2- J 4 IS-.
A::: 2- ,A :::. 1
[[-tJt fl--! 1i
A~~
{ [;f1J.
(J-~) (j--(l) + I
::=- ).'2. -- g A 'f" \ b
&tf [3~A
-I.
5-A J ~