Themes > Science > Mathematics > Algebra > Foci of a conic section > Topics and Problems > Problems about Vector spaces

..READ THIS FIRST
..Problems about Vector spaces
..Level 1 problems
..Level 2 problems


READ THIS FIRST

If a problem is solved. It is not 'the' answer.
No attempt is made to search for the most elegant answer.
I highly recommend that you at least try to solve the problem before you read the solution.

Problems about Vector spaces

Level 1 problems

  • Show that the set
    V = {(x,y,z) | x,y,z in R and x+y = 11}
    is not a subspace of RxRxR .

    Since (0,0,0) is not in V, V is not a subspace of RxRxR.

  • Show that the set
    V = {(x,y,z) | x,y,z in R and x.x = z.z }
    is not a subspace of RxRxR.

    (1,1,1) and (1,1,-1) are in V but the sum (1,2,0) is not!

  • Show that the set
    V = {(x,y,z) | x,y,z in R and x + 2y + z = 0}
    is a subspace of RxRxR.

    For each r,s in R, and for each (x,y,z) and (x',y',z') in V, we have

     
    x + 2y + z = 0 ; x' + 2y' + z' = 0  and
     
    r(x,y,z)+s(x',y',z') = (rx+sx',ry+sy',rz+sz')
     
    Now, it is sufficient to prove that (rx+sx',ry+sy',rz+sz') is in V.
    
            (rx+sx',ry+sy',rz+sz') is in V
    
    <=>     rx + sx'+2ry + 2 rsy' + rz + sz' = 0
    
    <=>     r(x + 2y + z) + s(x' + 2y' + z') = 0
    
    and this is true since x + 2y + z = 0 and x' + 2y' + z' = 0
    

  • Examine if M = {(r,r+2,0) | r in R} is a subspace of RxRxR.

    Since (0,0,0) is not in M, M is not a subspace of RxRxR.

  • S = {(2,5,3)} and T = {(2,0,5)}
    The intersection of span(S) and span(T) is a vector space.
    Find this space.

     
    span(S) = {r.(2,5,3) | r in R}
    span(T) = {r'.(2,0,5) | r'in R}
    The only common vector of span(S) and span(T) is (0,0,0).
    The intersection of span(S) and span(T) is a vector space {(0,0,0)}.
    This space is called the zero space or the null space.
    

  • Show that {(1,2,3) , (2,3,4) , (3,4,5) } is not a basis of RxRxR.

     
            The three vectors are linear dependent
    
    <=>     There is a  k,l,m not all zero such that
             l(1,2,3)+m(2,3,4)+n(3,4,5)=(0,0,0)
    
    <=>     The following system has a non trivial solution
                    1.l + 2.m + 3.n = 0
                    2.l + 3.m + 4.n = 0
                    3.l + 4.m + 5.n = 0
    
    <=>             | 1     2       3|
                    | 2     3       4| = 0
                    | 3     4       5|
    And this is true!
    
  • Find a basis of RxRxR containing the vectors (1,2,5) and (0,1,2).

    Since the dimension is 3, we have to find 1 vector (a,b,c) such that (1,2,5) ;(0,1,2) and (a,b,c) are linear independent.

     
            The three vectors are linear dependent
    
    <=>     There is a  k,l,m not all zero such that
             l(1,2,5)+m(0,1,2)+n(a,b,c)=(0,0,0)
    
    <=>     The following system has a non trivial solution
                    1.l + 2.m + 5.n = 0
                    0.l + 1.m + 2.n = 0
                    a.l + b.m + c.n = 0
    
    <=>             | 1     2       5|
                    | 0     1       2| = 0
                    | a     b       c|
    There are many choices for a b and c , such that this is true!
    
  • Assume that v and w are linear independent vectors. Prove that v , w and (v + w) are linear dependent vectors.

    Since v + w = 1.v + 1.w , the vector (v + w) is a linear combination of v and w.

  • Find the coordinates of the vector (3,2,1) with respect to the basis ((1,0,2),(2,1,0),(0,3,5)) in RxRxR.

     
    Say (x,y,z) are those coordinates, then
    (3,2,1) = x(1,0,2)+y(2,1,0)+z(0,3,5)
    <=>
            / x+2y+0z = 3
            | 0x+y+3z = 2
            \ 2x+0y+5z= 1
    <=>
            x = 1/17 ; y = 25/17 ; z = 3/17
    
  • Find the solution space of the linear system
     
            3x + 2y + 6z = 0
            -x - y  + 2z = 0
            2x + y  + 8z = 0
    

     
    The third equation is a linear combination of the previous equations.
    
    So, the system is equivalent with
    
            3x + 2y + 6z = 0
            -x - y  + 2z = 0
    
    For each value of z, we have just one solution of the system.
    
            x = -10z ; y = 12z ; z = z
    
    The solutions are {(-10z,12z,z) | with z in R}
    
    These solutions form a one dimensional vector space with basis (-10,12,1)
    
  • All polynomials p(x) with degree not greater than 2 constitute a vector space V.

    Replace in (1, 1 + x2 , b(x) ) the polynomial b(x) such that it becomes an ordered basis for that vector space.

    Calculate the coordinates of (2x2 - 7x) with respect to the chosen basis.


    The vectors 1 and (1 + x2) are linear independent. It is easy to see that x can't be written as a linear combination of the given vectors. So, (1, 1 + x2 , x ) is an ordered basis for that vector space.

    Now we write (2x2 - 7x) as a linear combination of the vectors of the ordered basis.

    We find -2.(1) + 2.(1 + x2) - 7.(x) = (2x2 - 7x)

    The coordinates of (2x2 - 7x) are (-2,2,-7).

Level 2 problems

  • S = {(2,5,3),(1,0,2)} and T = {(2,0,5),(3,5,5)}
    The intersection of span(S) and span(T) is a vector space.
    What is the dimension of that space.

     
    span(S) = { r(2,5,3) + s(1,0,2) | r,s in R}
    span(T) = { r'(2,0,5) + s'(3,5,5) | r',s' in R}
    (x,y,z) is an element of the intersection if and only if
    there is an r, s , r', s' such that
            (x,y,z) = r(2,5,3) + s(1,0,2) = r'(2,0,5) + s'(3,5,5)
    
    <=> there is an r, s , r', s' such that
             2r + s =  2r' + 3s'
             5r     =        5s'
             3r +2s =  5r' + 5s'
    
    <=> there is an r, s , r', s' such that
             2r + s -  2r' - 3s' = 0
             5r     -        5s' = 0
             3r +2s -  5r' - 5s' = 0
    This is a homogeneous system of the second kind.
    The rank of the coefficient matrix is 3.
    We choose a main matrix
            [2  1  -2]
            [5  0   0]
            [3  2  -5]
    s' is the side unknown and s' is an arbitrary number.
    Hence, for each choice of s' there is a vector of the intersection.
    The dimension of the the intersection space is 1.
    

  • Assume that v and w are linear independent vectors.

    Prove that v and (v + w) are linear independent vectors.


     
            rv + s(v + w) = 0
    =>      (r+s)v + sw = 0
                    since v en w are linear independent
    =>      r+s = 0 and s = 0
    
    =>      r = s = 0
    
    =>      v and (v + w) are linear independent vectors.
    
    
  • Find the condition for r and s such that the vectors
    (r,2,s) , (r+1,2,1) and (3,s,1) are linear dependent.

     
         (r,2,s) , (r+1,2,1) and (3,s,1) are linear dependent.
    <=>
            There is a (k,l,m) not (0,0,0) such that
            k(r,2,s) + l(r+1,2,1) + m(3,s,1) = 0
    <=>
            The system
            / r.k  +  (r+1).l  + 3.m = 0
            | 2.k  +     2. l  + s.m = 0
            \ s.k  +     1. l  + 1.m = 0
            has a  solution different from (0,0,0).
    <=>
            | r     r+1     3|
            | 2      2      s| = 0
            | s      1      1|
    <=>
            rs2  +s2  - rs -6s + 4 = 0
    
  • Find ,for each m, the dimension of the row space of the matrix
     
    
            [2   m   m-1]
            [3   m    5 ]
            [1   0   m+1]
    

  • Find ,for each m, the solution space of the linear system
     
            3x + 2y + mz = 0
            mx - y  + 4z = 0
            2x + y  + 3z = 0
    

     
    
            |3      2       m|
            |m      -1      4| = ...=(m-5)(m+1)
            |2      1       3|
    Case 1 :   m is different from 5 and -1
            The only solution is x = y = z = 0.
            The solution space is {(0,0,0)}
    Case 2 :   m = -1 ; The system becomes
    
            3x + 2y -  z = 0
            -x - y  + 4z = 0
            2x + y  + 3z = 0
    
            The third equation is a linear combination of the previous ones.
            The system is equivalent to
    
            3x + 2y -  z = 0
            -x - y  + 4z = 0
    
            and this system is equivalent to
    
            x = -7z
            y = 11z
    
            The solution space is {(-7,11,1).z | with z in R}
    
    Case 3 :  m = 5 ;       The system becomes
    
            3x + 2y + 5z = 0
            5x - y  + 4z = 0
            2x + y  + 3z = 0
    
            The third equation is a linear combination of the previous ones.
            The system is equivalent to
    
            3x + 2y + 5z = 0
            5x - y  + 4z = 0
    
            and this system is equivalent to
    
            x = -z
            y = -z
    
            The solution space is {(-1,-1,1).z  | with z in R}
    
  • In the vector space V = RxRxR, we take a set
    S = {(4,5,6) , (r,5,1) , (4,3,2)}
    Find the values of r such that the vector space spanned by S is not V.

    If the three vectors of S are linear independent, the vector space spanned by S is V. If this is not the case, then (r,5,1) has to be a linear combination of (4,5,6) and (4,3,2).

     
    This is equivalent to:
            |r      5       1|
            |4      5       6| =0
            |4      3       2|
    
    <=>     r = 9
    
  • In RxRxR we have basis B = ((1,0,1) , (0,2,0) , (1,2,3))
    and a basis C = ((1,0,0) , (2,0,1) , (0,0,3))
    The coordinates of a vector v with respect to B are (x,y,z).
    The coordinates of a vector v with respect to C are (x',y',z').
    Write the relation between these coordinates in matrix notation.

  •  
      M = span { (1+m, 4, 2); (5,6,-1-m) }
      N = span { (5+2m, 10,0) }
    
    Show that (1+m, 4, 2) and (5,6,-1-m) are linear independent for all real m values.

    Calculate m such that M+N is a direct sum.


    (Ans: m = 1 or m = 15 )


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