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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

    4

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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

    '

    5

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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

    Assoc. Prof. Dr. Khalipah Ibrahim

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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

    21Assoc. Prof. Dr. Khalipah Ibrahim

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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

    23Assoc. Prof. Dr. Khalipah Ibrahim

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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

    24Assoc. Prof. Dr. Khalipah Ibrahim

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    5

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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

    32Assoc. Prof. Dr. Khalipah Ibrahim

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    4.4 5asis andi9ension o: a

    Vector SpaceLinear Algebra I

    TOPIC 4 :

    VECTOR SPACES

    Assoc. Prof. Dr. Khalipah Ibrahim

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    5

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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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      5

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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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    5

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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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    5

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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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    5

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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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    5

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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%

    5

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    p

    1

    *8a9ple !solution

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    p

    2

    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

    3

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    *8a9ple "solution

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    p

    *8a9ple "solution

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    '

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    *nd o: 7e8ts 

    7BI/ 4V*/7BR SA/*S