mat423 lecture topic 4 vector.pptx
TRANSCRIPT
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4.1 Introduction toVectors
Real vector spaces &Subspaces
Linear Algebra I
TOPIC 4 :
VECTOR SPACES
Assoc. Prof. Dr. Khalipah Ibrahim
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R1 = R = { a1, b1, … }
R2 = { (a1 , a2), (b2 , b2), … }
R3 = { (a1, a2, a3), (b1, b2, b3), … }
Assoc. Prof. Dr. Khalipah Ibrahim
Defn: If n is a positive integer, then an ordered n-tp!e is
a se"en#e of n rea! n$bers (a1 , a2 ,…,an)% &he set ofa!! n-tp!es is #a!!ed n-spa#e and is denoted b' Rn%
Ordered n-tuple
2
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Defn: et ve#tors u = (1,2,…,n) and v = (v1,v2,…,vn) in
Rn%
1) u=v if 1=v1, 2=v2,…, n=vn%
2) $ of u and v is u*v =(1*v1, … , n*vn)
3) #a!ar +!tip!e of a s#a!ar and u is u= (1,2,…,n)
) .u = (-1 , -2 ,…,-n) is the negative of u%
Standard Operations on Rn
Assoc. Prof. Dr. Khalipah Ibrahim3
/ero ve#tor, 0 = (0, 0, …, 0)
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&h$ %1%1
If u = (1,2,…,n) , v = (v1,v2,…,vn) and = (1,2,…,n)are ve#tors in Rn and and $ are s#a!ars, then:a) u * v = v * u b) u *(v * ) =(u * v) * #) u*0 = 0*u = u d) u * (-u) = u - u = 0
e) ($u) = ($)u f) (u * v) = u * vg)(*$)u = u * $u h)1u = u
Assoc. Prof. Dr. Khalipah Ibrahim
Properties of Vector Operations in Rn
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&h$ %1%2If u, v and are ve#tors in Rn and is an' s#a!ar, then:a) u v = v u b) (u * v) = u * v
#) (u) v = (u v)d) v v 0%
v v = 0 i4 v = 0
Assoc. Prof. Dr. Khalipah Ibrahim
Euclidean Inner Product
!
Defn: et ve#tors u = (1,2,…,n) and v = (v1,v2,…,vn) in
Rn%
5#!idean inner prod#t u v is de6ned b'
u v =1v1*2v2* … *nvn
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Assoc. Prof. Dr. Khalipah Ibrahim
Norm & Distance in Euclidean n-Space
"
Defn: et ve#tors u = (1,2,…,n) and v = (v1,v2,…,vn) in
Rn%
1) 5#!idean 7or$ or ength of a ve#tor :
2) Distan#e bet to ve#tors :
( 2n22
21
21 +++=•= ...u)uu #
vvv
))-()-((d2
222
222
11
182
)$...)$)$
vuvuvuv)$u%
−++−+−=
•=−=
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Defn: et 9 be an arbitrar' none$pt' set of obe#ts ith
the de6nes addition ; s#a!ar $!tip!i#ation%
et u,v, ∈9 and ,$ are s#a!ars% 9 is a ve#tor spa#e if
a!! u,v,,,$ satisf' a!! of the fo!!oing 10 a) u ∈ 9
?) (u * v )=u * v @) (*$)u=u*$u
A)($u) = ($)u 10)1u=u
Vector Space Axioms
Assoc. Prof. Dr. Khalipah Ibrahim
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&h$ %1%1 et 9 be a ve#tor spa#e, u ∈9 and a s#a!ar,
then,
1) 0u=0
2) 0=0
3) (-1)u = -u
) If u = 0, then = 0 or u = 0
Vector Spaces
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Defn: bspa#e of a ve#tor%
et 9 be a ve#tor spa#e and is a sbset of 9%
is #a!!ed a sbspa#e of 9 if is a ve#tor spa#e nder
the addition and s#a!ar $!tip!i#ation de6ned on 9%
Subspaces
(
&h$ %2%1% If is a set of one or $ore ve#tors fro$ ave#tor spa#e 9, then is a sbspa#e of 9 if and on!' if
the fo!!oing #onditions ho!d%
1) If u and v are ve#tors in , then u * v is in
2) If is an' s#a!ar and u is an' ve#tor in , then u is in
%
Assoc. Prof. Dr. Khalipah Ibrahim
2 Eondition for a set of ve#tors, to be a sbspa#e of a
ve#tor spa#e 9%
1) For ever' u%v∈, u*v ∈
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*+ ,A- 13 4aii
Let
/ec condition 1
Assoc. Prof. Dr. Khalipah Ibrahim
on2$on$
! G
C-'2v
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*+ ,A- 13 4aii
/ec condition 2
Assoc. Prof. Dr. Khalipah Ibrahim
f!6!!e2%#onditionB &hs
(C)-(')2(v) C'v2
C'v2<
C'<
v
C'<
vB
∈
+= −+=
−+=
=
=
)$
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*+ ,A- 13 4b
LS
RS
$A5)6A5
7us% te a8io9 :ails to old
Assoc. Prof. Dr. Khalipah Ibrahim
++=+
dh#g
f beaGB )$
+
=+ hgf e
d#
ba
GB
++=dh#g
f bea
+
= hg
f e
d#
ba
++=dh#g
f bea
++
= dh#g
f bea22
++
≠ dh#g
f bea
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*+ ,A- 12 4a
Assoc. Prof. Dr. Khalipah Ibrahim
Rv,,and0v,70
v G
Rr",p,and0"p,70r
"pB
∈≥+∈
=
∈≥+∈
=
++
++=
00r
v"p
+
=+
0
v
0r
"pGB
)$)$)$)$ v"pv"p +++=+++
Let
/ec /ondition 1
/ondition 1 is :ul;lled
/ec condition 2
/ondition 2 is not satis;ed. - is not a subspaceo:
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*+ ,A- 12 4b
Let p$8)=ab8c82
LS
$9)p$8) = $9)$ab8c82)
= a$9)b8$9)2c82
RS
p$8)9p$8)=$ab8c82)9$ab8c82)
= $ab8 2c82) $a9b892c82)
= 2a$9)b8 2 c8292c82
6 $9)p$8)
6LS
7e a8io9 is not satis;ed
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*+ Apr 2011a
Assoc. Prof. Dr. Khalipah Ibrahim
Let u = $a%b%>) and v = $d%e%:)
LS c$uv) = c$ad%be%>:)
=$ad%c$be)%?$>:))
=$ad% cbce%?>?:)
RS cucv =c$a%b%>)c$d%e%:)=$a%cb%?>)$d%ce%?:)
=$ad% cbce%?>?:)
c$uv)=cucv. 7us% te given a8io9 olds.
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*+ Apr 11 4b
Assoc. Prof. Dr. Khalipah Ibrahim
Let p = r s8 t82 ∈ ere rt =?2
@ = uv8 82∈ ere u=?2
/ec condition 1p@ = $r s8 t82) $uv8 82)
=$ru) $sv)8 $t)82
$ru) $t)=$rt) $u)
= ?2 $?2)=?46?2p@∉
7us% condition 1 does not old
Set is not a subspace o: 2
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*+ B/7 10 3a
Assoc. Prof. Dr. Khalipah Ibrahim
C414%001
441 A)i ∉
=
=
∈
=
=
=
000
000
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*+ B/7 10 3a
Assoc. Prof. Dr. Khalipah Ibrahim
/ec condition 1
$ap)$cr)=$ac) $pr)
= b @
7us% b@=$ap) $cr)
A5∈
C/ondition 1 is satis;ed
b=$ac) =ac
A∈C. 7us% C is a suspace o: <23
Crp@%00s
r@p5
Ccab%
00d
cbaLet Aiii)
∈
=
∈
=
00sd
rc@bpa
00s
r@p
00d
cba 5A
=
=
00d
cba
00d
cba A
=
=
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4.2 Linear/o9bination
Linear Algebra I
TOPIC 4 :
VECTOR SPACES
Assoc. Prof. Dr. Khalipah Ibrahim
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5g 1% Hiven ve#tors u = (1,2,-1) and v = (>,,2)
deter$ine hether ea#h of the fo!!oing ve#tors is a
!inear #o$bination of u and va) = (A,2,?)
b) 8 = (, -1,@)
Defn: Eonsider a ve#tor spa#e 9% If ∈ 9, then is #a!!ed
a linear co9bination of the ve#tors
v1, v2, … , vn in 9 if it #an be ritten as
= 1v1*2v2* …*nvn
here 1, 2, … , n are s#a!ars% &hese s#a!ars are #a!!ed
the #oe#ient of the !inear #o$bination%
Linear ombination
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*8a9ple 1 solution
22Assoc. Prof. Dr. Khalipah Ibrahim
2=2, 1=-3
= -3 * 2
is a !inear #o$bination of and v
&he s'ste$ is not #onsistent% 7o va!e of r1 and r2 to
rite
< = r1*r2v
< is not a !inear #o$bination of and v
−−
− 0
2
9
00
10
61
16
16
9
80
80
61
7
2
9
21
42
61
)a
−−
−
− 7
2
9
00
10
61
16
9
4
80
80
61
8
1
4
21
42
61
)b
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*8a9ple 1 solution
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&h$ %2%3 : If = {v1, v2, … , vn} is a none$pt' set of
ve#tors in a ve#tor spa#e 9, then:a) &he set of a!! possib!e !inear #o$binations of
ve#tors in is a sbspa#e of 9%
Linear /o9bination
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*8a9ple 2 solution
2"
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*8a9ple 2 solution
2
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4.3 Linearindependence
Linear Algebra II
TOPIC 4 :
VECTOR SPACES
Assoc. Prof. Dr. Khalipah Ibrahim
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&h$ %3%1 et be a set ith to or $ore ve#tors%
a) et is !inear!' dependent i4 at !east one of the
ve#tors in is e
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&h$ %3%2
a) B ;nite set o: vectors that #ontains the Cero ve#tor
is linearlH dependent.
b) B set ith e
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5,-1) and=(3,2,1) for$ a !inear!' dependent or !inear!'
independent set%
o!tion:
et #1 * #2v * #3 = 0For$ a !inear s'ste$ and so!ve
Linear Independence
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4.4 5asis andi9ension o: a
Vector SpaceLinear Algebra I
TOPIC 4 :
VECTOR SPACES
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3!
o!tion:
*8a9ple ! Solution
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tandard basis for Rn%
R2 : ={(1,0) , (0,1)}
R3: = {(1,0,0), (0,1,0), (0,0,1)}
R: = {(1,0,0,0), (0,1,0,0), (0,0,1,0), (0,0,0,1)}
--------------------------------------------------
Rn
: ={(1,0,…,0), (0,1,…,0),…,(0,0,…1)}
Standard basis :or n?space Rn
3"
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Standard basis :or olHno9ials% n
tandard basis for Kn
K1: = {1,
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Standard basis :or
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Defn: B nonCero ve#tor spa#e 9 is #a!!ed ;nite?di9ension if it #ontains a 6nite set of ve#tors {v1, v2, … ,
vr} that for$s a basis%
If no s#h set e
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1) di$ ( Rn ) = n
2) di$ ( Kn ) = n*1
3) di$( +$
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&h$ %%
et a none$pt' set of ve#tors in a ve#tor spa#e 9%
1) If is a linearlH independent set, and v is a ve#tor
in 9 that is otside of span(),
then the set ∪ {v} that res!ts b' inserting v into
is sti!! linearlH independent%2) If v is a ve#tor in that is e
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&h$ %%>
et be a 6nite set of ve#tors in a 6nite-di$ensiona!ve#tor spa#e 9%a) If spans 9 but is not a basis for 9, then can be
reduced to a basis for 9 b' re9oving appropriateve#tors fro$ %
b) If is a linearlH independent set that is not a!read'a basis for 9, then #an be enlarged to a basis for 9b' inserting appropriate ve#tors in to %
&h$ %%If 9 is an n-di$ensiona! ve#tor spa#e, and if is a set in 9ith e
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5%
a) Eonsider a set of ve#tors
= {(1,0,0,0), (-1,1,0,-1), (3,2,0,-2), (0,-1,-2,2),
(1,0,1,0)}
i% ho that the set spans R
ii% Deter$ine ve#tor(s) in that #an be re$oved sothat #an be a basis for R%
b) Eonsider the sets {
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*8a9ple " Solution
44
* l " S l ti
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*8a9ple " Solution
4!
* l " S l ti
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*8a9ple " Solution
4"
/oordinate Vector o: a vector relative to a
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4'
*8a9ple Solution
TOPIC 4
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4.! Inner productSpaces
Linear Algebra II
TOPIC 4 :
VECTOR SPACES
Assoc. Prof. Dr. Khalipah Ibrahim
Inner roducts
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Defn: Bn inner prod#t on a rea! ve#tor spa#e 9 is a fn#tionthat asso#iates a rea! n$ber 〈u%v〉 ith ea#h pair of
ve#tors u and v in 9 s#h that it satis6es the fo!!oinga
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*8a9ple 1solution
!2
Lengt and istance in Inner roductS
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Defn:If 9 is an inner prod#t spa#e, then the nor$ (or !ength )
of
a ve#tor in 9 is de6ned b'
B unit vector is a ve#tor that has nor$ 1
&he distan#e beteen to points (ve#tors) and v isde6ned b'
d(u%v) =
Spaces
!3
2#1u%uu =
vu
Lengt and istance in Inner roduct
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*8a9ple 2solution
!!
*8a9ple 2solution
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*8a9ple 2solution
!"
*8a9ple 2solution
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*8a9ple 2solution
!
Inner roduct o: :unctions
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Inner Krod#t on ENa,bO.et : = f(
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4." Brtogonal 5asesand Jra9?Sc9idt
rocess
Linear Algebra II
TOPIC 4 :
VECTOR SPACES
Assoc. Prof. Dr. Khalipah Ibrahim
Brtogonal and Brtonor9al 5ases :or
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De6nitions:1) &o ve#tors u and v in an inner prod#t spa#e are
#a!!ed orthogona! if 〈u,v〉 = 0%
2) B set of ve#tors in an inner prod#t spa#e is #a!!ed anorthogona! set if a!! pairs of distin#t ve#tors in the setare orthogona!% Bn orthogona! set in hi#h ea#h ve#tor
has nor$ 1 is #a!!ed orthonor$a! set%3) B basis of an inner prod#t spa#e that #onsists of
orthonor$a! ve#tors is #a!!ed an orthonor$a! basis% Bnorthogona! basis is a basis that #onsists of orthogona!
ve#tors%
Inner roduct Space
"0
&h$ >%3%3
If = {v1, v2, … , vn} is an orthogona! set of nonCero
ve#tors in an inner prod#t spa#e, then is !inear!'
independent%
/oordinates relative to Brtonor9al 5ases
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&h$ >%3%1 If = {v1, v2, … , vr} is an orthonor$a! basis
for an inner prod#t spa#e 9, and u is an' ve#tor in 9,
then,u = 〈u,v1〉 v1* 〈u,v2〉v2 *…* 〈u,vn〉vn%
〈u,v1〉, 〈u,v2〉, …, 〈u,vn〉 are the coordinates of u re!ative
to %(u) = (〈u,v1〉, 〈u,v2〉, …, 〈u,vn〉) is the coordinate vector
of u re!ative to %
&h$ >%3%2% If is an orthonor$a! basis for an n-
di$ensiona! inner prod#t spa#e, and if () = (1, 2, … ,
n) (v)= (v1, v2, … , vn), then
/oordinates relative to Brtonor9al 5ases
"1
2n2221 (a) +++= ...u2
nn2
222
11)v()v()v(),(d(b) −++−+−= ...vu
nn2211vvv,(#) +++= ...vu
/oordinates relative to Brtogonal 5ases
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Solution
*8a9ple 3solution
"3
*8a9ple 3solution
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*8a9ple 3solution
"4
Brtogonal pro>ection
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&h$ >%3% Kroe#tion &heore$
If is a 6nite-di$ensiona! sbspa#e of an inner prod#t
spa#e 9, then ever' ve#tor u in 9 #an be e
"!
Ort!o"onal Pro#ection
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&h$ >%3%>5ver' nonCero 6nite-di$ensiona! inner prod#t spa#e hasan orthonor$a! basis%
&h$ >%3%
et be a 6nite-di$ensiona! sbspa#e of an inner prod#t
spa#e 9%a)If {v1, v2, … , vn} is an orthonor$a! basis for , and u
is an' ve#tor in 9, then
Kro u= 〈u,v1〉v1* 〈u,v2〉v2 *…* 〈u,vn〉vn%
b) If {v1, v2, … , vr} is an orthogona! basis for , and u is
an' ve#tor in 9, then
""
r2r
r22
2
212
1
1 v
v
v%u...v
v
v%uv
v
v%uupro>
Brtogonal ro>ections
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"'
Jra9?Sc9idt rocess
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Jra9?Sc9idt rocess is used to convert anH basisto an ortogonal basis.et 9 be an' nonCero 6nite-di$ensiona! inner prod#tspa#e, and {u1, u2, …, un} is an' basis for 9%
Bn orthogona! basis {v1, v2, …, vn} for 9 #an be fond as
fo!!os:
tep 1: et v1 = u1tep 2:Eonstr#t a ve#tor v2 that is orthogona! to v1:
tep 3:Eonstr#t a ve#tor v3 that is orthogona! to v1 and
v2 :
"(
12
1
1222
vv
v%uuv −=
222
2312
1
1333 v
v
v%uv
v
v%uuv −−=
Jra9?Sc9idt rocess
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Solution.
Eontine in the sa$e $anner, after n steps an orthogona!set of n ve#tors {v1, v2, …% , vn} i!! be obtained%
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TOPIC 4 :
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4. /ange o: 5asis
Linear Algebra II
TOPIC 4 :
VECTOR SPACES
Assoc. Prof. Dr. Khalipah Ibrahim
/ange o: 5asis
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et G = {u1, u2, … , unK and G = {u1
, u2P, … , un
} are
the bases for a ve#tor spa#e 9 and v ∈ V%If :
1)NvOG is the #oordinate ve#tor of v re!ative to G
2)NvOG is the #oordinate ve#tor of v re!ative to G
3)K is a transition $atri< fro$ G to G
then
NvOG = K NvOG
&ransition $atri< K #an be e
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5Eonsider the bases 5 ={u1,u2} and 5 ={u1,u2} for R
2%
Hiven u1=(1,0), u2=(0,1), P1=(1,1) and P2=(2,1), 6nd:
a) &he transition $atri< fro$ G to GP%
b) &he transition $atri< fro$ GP to G%
#) NvOGP if NvOG =
!
&h$ >%%1
If K is the transition $atri< fro$ a basis 5 to 5P for a
6nite-di$ensiona! ve#tor spa#e 9, then K is invertib!e, and = K-1 is the transition $atri< fro$ GP to G%
=K-1 =NNuP1OG Q NP2OG Q … Q NPnOG O
Assoc. Prof. Dr. Khalipah Ibrahim
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*8a9ple "solution
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