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The linear map T : R 3 ? R 4 is given by the matrix M(T) = ? ??? XXXXXXXXXX 1 1 3 ? ??? with respect to the standard bases in R 3 and in R 4 . Find bases of Ker T and Im T. (2 marks) Problem A.2. Let...

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The linear map T : R 3 ? R 4 is given by the matrix M(T) = ? ??? XXXXXXXXXX 1 1 3 ? ??? with respect to the standard bases in R 3 and in R 4 . Find bases of Ker T and Im T. (2 marks) Problem A.2. Let S denote the set of polynomials in R[z] that have degree at most 5 and root 3 2 . Is S a vector space over R? Justify your answer. In the case of affirmative answer compute the dimension of S. (2 marks) Problem A.3. (a) Show that C = {z = x + y v -1 : x, y ? R} is a vector space of dimension 2 over R. (b) Define a linear map T from the vector space C to the vector space Mat(2, 2; R) of 2 × 2 matrices by the rule T : x + y v -1 7?  x y -y x . Compute dim Im T. (c) Show that T(z1z2) = T(z1)T(z2), where z1z2 is a usual multiplication of two complex numbers z1 and z2, and T(z1)T(z2) is the matrix multiplication of the two corresponding matrices. (2 marks) Date: 2nd semester XXXXXXXXXXMATH 2320 — ASSIGNMENT 1 Problem A.4. Suppose linear maps T ? L(V, W) and S ? L(W, U) of finitedimensional vector spaces are given. Show that dim Ker(ST) = dim Ker S + dim Ker T. (1 mark) Problem A.5. Show that the set of invertible n × n matrices (that is, the ones that correspond to invertible linear maps from F n to F n ) is a group with respect to the matrix multiplication and with the identity matrix I (which has ones along the main diagonal and zeroes otherwise). (1 mark)
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MATH2320: LINEAR ALGEBRA|ASSIGNMENT 1 Name: Student No: Due: Friday 30th August 2011 @ 10 am (Week 5) You are required to complete this sheet and attach it to your worked solutions. I expect all students to submit their own work as I am trying to assess your un- derstanding of the basic ingredients of the course and your ability to do standard mathematical problems. Problems A.1, A.2 and A.3 are worth 2 marks (each), while Problems A.4 and A.5 are worth 1 mark. The entire assignment will give a mark out of 8. 3 4 Problem A.1. The linear map T :R !R is given by the matrix 0 1 2 1 0 B C 1 2 5 B C M(T ) = @ A 1 1 1 1 1 3 3 4 with respect to the standard bases inR and inR . Find bases of KerT and ImT . (2 marks) Problem A.2. Let S denote the set of polynomials in R[z] that have degree at 3 most 5 and root . Is S a vector space overR? Justify your answer. In the case of 2 armative answer compute the dimension of S. (2 marks) p Problem A.3. (a) Show thatC =fz = x +y 1 : x;y2Rg is a vector space of dimension 2 overR. (b) De ne a linear mapT from the vector spaceC to the vector space Mat(2; 2;R) of 2 2 matrices by the rule   p x y T : x +y 17! : y x Compute dim ImT . (c) Show that T (z z ) = T (z )T (z ), where z z is a usual multiplication of two XXXXXXXXXX complex numbers z and z , and T (z )T (z ) is the matrix multiplication of the two 1 2 1 2 corresponding matrices. (2 marks) Date: 2nd semester XXXXXXXXXXMATH2320|ASSIGNMENT 1 Problem A.4. Suppose linear maps T 2 L(V;W ) and S 2 L(W;U) of nite- dimensional vector spaces are given. Show that dim Ker(ST ) dim KerS + dim KerT: (1 mark) Problem A.5. Show that the set of invertible nn matrices (that is, the ones n n that correspond to invertible linear maps from F to F ) is a group with respect to the matrix multiplication and with the identity matrix I (which has ones along the main diagonal and zeroes otherwise). (1 mark)

Answered Same Day Dec 23, 2021

Solution

Robert answered on Dec 23 2021
123 Votes
Solutions 3
(A)
We need to show here the dimension of a vector space  1 : ,z x y x y     is
2 over .
Let 2:T  be a linear mapping from 2 onto , define by
 , 1T x y x y   or  ,T x y x iy 
Let 1 2 1 2, , ,x x y y 
     
   
   
1 2 1 2 1 2 1 2
1 1 2 2
1 1 2 2
,
, ,
T x x y y x x i y y
x iy x iy
T x y T x y
     
   
 

Let
   1 1 2 2
1 1 2 2
1 2 1 2
, ,T x y T x y
x iy x iy
x x and y y

  
  

Hence 2:T  is one to one. According to the theorem “If T is one to one linear
mapping then its nullity or dimension of null space is zero.”
i.e. ( ) 0.N T 
Since 2:T  is a linear mapping from 2 onto . According to the theorem
“IF T is onto linear mapping then its rank...
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