Calculations - Linear Algebra - Solved Exam, Exams of Linear Algebra

This is the Solved Exam of Linear Algebra which includes Empty, Unique Solution, Contains, Equation, Solution, Calculations, Possible, Solution, Set, Three Vectors etc. Key important points are: Calculations, Matrix, Basis, Set, Eigenvalue, Matrix, Dimension, Corresponding, Eigenspace, State the Dimension

Typology: Exams

2012/2013

Uploaded on 02/27/2013

senajit_98
senajit_98 🇮🇳

3

(5)

93 documents

1 / 6

Toggle sidebar

This page cannot be seen from the preview

Don't miss anything!

bg1
\j
Math 205A Test 2 (50 points)
Name: ~"'S
.Check that you have 7 questions on three pages.
.Show all your work to receive full credit for a problem.
1. (6 points) Short answers: (Show all the calculations to get the answers. No explanations
needed.)
(a) For a 2 x 2 matrix B, det B=-8. Find det 3B.
cAeJ. 3 ~ -== 3~ &e!- @, (g hoJ' -hro rvw3 ~J
IS' scolJ b(f 3J
::::-9<c-~) ~1-72.} .
€.A-J- Y\J1.J
(b) Let ill =[ ~ ] and let il2 =[ ~ ]. Then the set B={ill, il2} is a basis for ~2. Find jJ
suchthat W1B =[-~].
-- -
~ ::::: 8. u'l -~\,{2,.
>~ ~ =~UJ -1- L}} sfl\i;] \0
(c) Suppose 0 is an eigenvalue of a 3 x 5 matrix Aand the dimension of the corresponding
eigenspace is 2. Find rank A.
t;.ro~ 1~ t-r 013 tJ,e... g,}- 4Sal-J,'w1S
€-'j~"'" ~ =0oX Ie.- /fi =-?5,
lhv.$ '1JU\sr~ ~ D-;- Nvl A
So we. 0..~ (\ ivUJ ~ dum tJv.t A=-2-
Rw-k k~ '. ':) =:c~"" I'tv<lA- -f "..."" ~A
~r6-f\ kA~5".- 2- :::.~.
..:----
ot- ~L
pf3
pf4
pf5

Partial preview of the text

Download Calculations - Linear Algebra - Solved Exam and more Exams Linear Algebra in PDF only on Docsity!

\j

Math 205A Test 2 (50 points)

Name: ~"'S

. Check that you have 7 questions on three pages. . Show all your work to receive full credit for a problem.

  1. (6 points) Short answers: (Show all the calculations to get the answers. No explanations needed. )

(a) For a 2 x 2 matrix B, det B = -8. Find det 3B.

cAeJ. 3 ~ (^) -== 3~ & e!- @, (g hoJ' -hro rvw3 ~J

IS' scolJ b(f 3J ::::- 9 <c-~) ~ 1- 72.}.

€.A-J- Y\J1.J

(b) Let ill = [ ~ ] and let il2 = [ ~ ]. Then the set B = {ill, il2} is a basis for ~2. Find jJ

suchthat W1B = [ -~].


~ ::::: 8. u'l - ~ \,{2,. 

~ ~ =~UJ -1- L}} s fl\i;] \ 0

(c) Suppose 0 is an eigenvalue of a 3 x 5 matrix A and the dimension of the corresponding eigenspace is 2. Find rank A.

t;.ro~ 1~ t-r 0 13 tJ,e... g,}- 4 Sal-J,'w1S

€-'j~"'" ~ = 0 oX Ie.- /fi =-?5,

lhv.$ '1JU\s r~ ~ D -;- Nvl A

So we. 0..~ (\ ivUJ ~ dum tJv.t A=-2-

Rw-k k~ '. ':) =:c ~"" I'tv<lA- -f "..."" ~ A

~ _r6-f_ k A ~ 5".- 2- :::.~...:----

ot- ~L

..

[

]

  1. (6 points) Let A = 6 2 8. Find a basis for Col A and then state the dimension of

r6 2. 0 N 0 I -0.f:

0 i -2- ' 0 0 ()

B~li ~ ~I ~~ {[il J [~JJ

dJ tV\ Cui A -;:;.1-

  1. (7 points) Let A = [

10 - ]

. 9 -2. The only eIgenvalue of A is 4. Is A diagonalizable? If so find the matnces P and D so that A = P DP-I If^

.. not, explam why not.

hYJ!, le-t'J' ~"'1: -~. ~,,,w, W v,<L e-.~J'r~ ~ 4-. A-X -' 4 'j; 1t (J:r -41) X-;:::'--1/

[

r) - ]

  • ~ [

' O J

-- [

G - 41 q -2- 0 I - 9 -(,J

[

b -4 O J

cV [

I -2./3 O

q -b 0 D 0 ()J

~~:: r/~:--] ~ x'-e~3]

B~ IS r- e.oyr =- i e? ]J

-O;WJ A, ~ C7Y1.~ one. ~)-,~~ I~f~ T~.

S".tL we. UV"-..0t- h~ .wo t,,~Ac\ Ihcle..r~

T~I A; rr ~1-- ~oJ.t~.

X I -=.. 2f3 x'1- Xv~.

"

  1. (8 points) Let 17= [ ~ ] and it = [ ~ ]. Let L = Span{ it}.

(a) Compute the distance from iJ to L.

1\ - 2..

[

3 ] r6/s-

T1 :=:- ( J

-q, Lt

j

li -=- Ii ~ ::: s=- b ==-b- 0

  • -- "G ID I /:;-

'1 lA'

l~ rl~!:::,"'-- ~ - - -~ -. I

l

b/q- J

[ -I/S-

J

~- i ) :'f)to L 1:. -- j 0 -

[.

2-

]

- C? 2-

L ~ lA \ '2j~ 3/rj

1)\5 t--6J\ t,e ~ -S ~ L ~j)~))

==-~ l ' 7: ~

~ J..L 2/;; f- 4+..i-.^ 2-~ -:::~ ~

(b) Find a vector in L1-.

~ is ff/he r k ~ a.rJ.-. ~u, C<. it- i1 ,>1 t!--.

~ ~:: G~S-J is Ir> 0-. A vtvhJy ~ /5'.

~ 11 his", 2- rf (;j 'l1::=--O.

l~ Gi~

[ t]^ -r~^ ~~ ~+ P,'Jt-D-f (Ac ~/ 6 I C. ~1AJ,-h-.oJ:-

:3 fA of G:--V.

~ a- ~ b~ ri 1 oY ~~ J uY eiJ

i h t vt... G--I"t- > ~.. ~ 1--1- h I , 1 h }'""\ , - d -rY"-0J\ d P cIJj I Of/r ~. ..

  1. (8 points) Let {VI, V2,V3} be an orthogonal set in }R4.

(a) Is the set {-5VI' 2V2,V3} a linearly independent set? Explain. y [--5"""V))-f L2- C~VJ f C3 \j =- D CD ~ C-~0. Vi> -t Cz- C 2- /" .~ ) f ( 3 ( ~. VI ) = 0' Vj -s C, CV;. VI) +'2~. LD H CJ (6) =- D [S/I/\ <L N I ~ I V;3 If oJ'

  • c; ~ (Vi. Vj) -=-v S',:, 11-:::-0' <»-h,°J~9.t J e1-)

S1>;1)""~ 'I~ ~ ~ kb f""h-J; W"jn.,~ 4 hdb.c [ulu 4-.~~DY1 cD) f.A>L ~.t. Cz..=-. trY\ot ~~ ~ ~ c3~" H V1 CL tl,e.- £d' £ - 5" Vi ) 2.. ~/\l3 ~ ~ 0.. d,'n e.o. ..(,., 1'>j~<U'! ck I:- ~. d' ~ S'~C10 ~ f- ~ / 2-V1.-1 ~ ~ fJ ~n '~1 ~l) ~~ stk-.-\s III')UA~ (b) Is the set {- 5VI, 2V2,V3} a basis for }R4? Explain. 0 ct M Irz ~ ::;:.. l;: ~ <>Ad h4JI' 4- IRlr ",,~I:- kA",,- 4 ~ M lb-. 1hL s«- l-s"v). 2.~)VJ3 ~ fY'~ il,~~. HV~ (1;. i:.r Y'-1)~ CL bCAJIS ~ IRlf, ~h-;,.IT ,J;- ,

~ c1f~..cbJ- '

~ ..