Linear Transformations: A Comprehensive Guide with Solved Problems, Exercises of Mathematics

In mathematics, a linear map (also called a linear mapping, linear transformation or, in some contexts, linear function) is a mapping V → W between two modules (including vector spaces) that preserves (in the sense defined below) the operations of addition and scalar multiplication.

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Linear Transformation
Linear Transformation: Let
V
and
U
be two vector spaces over the same scalar field
F
. Then
the mapping
:T V U
is called a linear transformation or linear mapping if it satisfies the conditions:
1. For any
,u v V
,
T u v T u T v
2. For any
aF
and
vV
,
T av aT v
Alternatively, A mapping
defined by
T v Mv
, where
M
is an
mn
real matrix;
is called a linear transformation.
Transformation matrix: If a linear mapping
defined by
T v Mv
, where
M
is an
mn
real matrix; then the transformation matrix is
TM
.
Problem-01: Test whether the mapping
32
:T R R
defined by
, , 2 , 5T x y z x y y z
is linear
or not.
Solution: We have,
32
:T R R
And
, , 2 , 5T x y z x y y z
So, we must need a
23
matrix consisting of real numbers only.
The given transformation can be written as,
2
5
xxy
Ty yz
z








2 0.
0. 5
x y z
x y z





1 2 0
0 1 5
x
y
z








Mv
Since,
1 2 0
0 1 5
TM




is a matrix of order
23
, so we conclude that
T
is a linear
transformation.
Problem-02: Test whether the mapping
32
:T R R
defined by
, , 5 ,T x y z x y z yz
is linear or
not.
Solution: We have,
32
:T R R
So, we must need a
23
matrix consisting of real numbers only.
pf3
pf4
pf5
pf8
pf9
pfa

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Linear Transformation

Linear Transformation: Let V and U be two vector spaces over the same scalar field F. Then

the mapping T^ : V^  U is called a linear transformation or linear mapping if it satisfies the conditions:

1. For any u v ,  V , T u   v   T u    T v  

2. For any a  F and v  V , T av    aT v  

Alternatively, A mapping :

n m

T R  R defined by T v    Mv , where M is an m  n real matrix;

is called a linear transformation.

Transformation matrix: If a linear mapping :

n m

T R  R defined by T v    Mv , where M

is an m  n real matrix; then the transformation matrix is  T  M.

Problem-01: Test whether the mapping

3 2

T : R  R defined by T x y z  , ,    x  2 , y y  5 z is linear

or not.

Solution: We have,

3 2 T : RR

And T x y z  , ,    x  2 , y y  5 z 

So, we must need a 2  3 matrix consisting of real numbers only.

The given transformation can be written as,

x x y T y

y z z

  ^ 

  ^ 

x y z

x y z

 ^  

x

y

z

Mv

Since,  

T M

is a matrix of order 2 ^3 , so we conclude that T is a linear

transformation.

Problem-02: Test whether the mapping

3 2

T : R  R defined by T x y z  , ,    x  y 5 , z yz is linear or

not.

Solution: We have,

3 2 T : RR

So, we must need a 2  3 matrix consisting of real numbers only.

The given transformation can be written as,

x

x y z T y yz z

 ^  

  ^ 

  ^ 

x

y z z

Since the matrix contains variable so M does not exist. We conclude that T is not a linear

transformation.

Problem-03: Check the followings for linear transformations and find

1 T

 if it exists. Also verify for

a non-zero vector.

3 3 T : RR is given by T x y z  , , (^)   (^)  x  2 , y 2 , z zx

3 2 T : RR is given by Tx y z , ,    x  2 ,6 y z  5 x

3 2 (^) T : RR is given by T x y z  , , (^)   (^)  23 x  2 y 5 ,0 z

3 4 (^) T : RR is given by T x y z  , , (^)   (^)  8 , xz ,4 z 5 ,5 x

3 3 T : RR is given by T x y z  , , (^)   (^)  2 xy ,4 xy ,3 z

5 3 T : RR is given by T^  p q r s t , , , ,^^  ^  s^  t ,0,5

3 4 (^) T : RR is given by T (^)  p q r , , (^)   (^)  pq ,0,  z y , 

3 3 T : RR is given by T^  p q r , ,^^  ^  3 x^ ^ y ,^^ ^2 x^ ^4 y^ ^ 3 ,5 z^^ x^ ^4 y^ ^2 z

Solution: 1). We have,

3 3 T : RR

And T x y z  , , (^)   (^)  x  2 , y 2 , z zx

So, we must need a 3  3 matrix consisting of real numbers only.

The given transformation can be written as,

x x y

T y (^) z

z z x

x y z

x y z

x y z

 ^  

x

y

z

Mv

And  

1 2 1 ^2 ^2 ^2  1, 2, 2 2, , 2 2 4 2 2

T

  (^)       (^)       

 

1,0,1  ( Verified ).

2). We have,

3 2 T : RR

And T (^)  x y z , , (^)    x  2 ,6 y z  5 x

So, we must need a 2 ^3 matrix consisting of real numbers only

The given transformation can be written as,

x

x y T y z x z

  ^ ^  

  ^ 

  ^ 

x y z

x y z

x

y

z

 ^  

Mv

Since,  

T M

 ^  

is a matrix of order 2 ^3 , so we conclude that T is a linear

transformation.

Again, since the transformation matrix (^)  T is not square, so (^)  T is not possible. So that

1 T

 does not

exist. ( Ans .)

3). We have,

3 2 T : RR

And T x y z  , , (^)   (^)  23 x  2 y 5 ,0 z

So, we must need a 2 ^3 matrix consisting of real numbers only.

The given transformation can be written as,

x

x y z T y

z

  ^ ^  

  ^ 

  ^ 

x y z

x y z

x

y

z

Mv

Since,  

T M

is a matrix of order 2 ^3 , so we conclude that T is a linear

transformation.

Again, since the transformation matrix (^)  T is not square, so (^)  T is not possible. So that

1 T

 does not

exist. ( Ans .)

4). We have,

3 4 T : RR

And T x y z  , , (^)   (^)  8 , xz ,4 z 5 ,5 x

So, we must need a 4 ^3 matrix consisting of real numbers only.

The given transformation can be written as,

x x z T y z x z

  ^ 

x y z

x y z

x y z

 ^  

Since, the transformation matrix  T^  M does not exist. So, we conclude that T is not a linear

transformation. ( Ans. )

5). We have,

3 3 T : RR

And T x y z  ,^ ,^^  ^  2 x^ ^ y ,4^^ x^  y ,3^ z

So, we must need a 3  3 matrix consisting of real numbers only.

The given transformation can be written as,

x (^) x y

T y x y

z (^) z

  ^ 

x y z

x y z

x y z

 ^  

x

y

z

Mv

T (^) 1,0,1   (^)  2.1  0,4.1  0,3.1  2,4,3

And  

     

1 2 4 2.2 4 3 2, 4,3 , , 1,0, 6 3 3

T

      (^)  

 

( verified )

6). We have,

5 3 T : RR

And T (^)  p q r s t , , , , (^)   (^)  st ,0,5

So, we must need a 3  5 matrix consisting of real numbers only.

The given transformation can be written as,

0

5

p

q s t

T r

s

t

 

                    ^     

p q r s t

p q r s t

 ^ ^ ^  

Since, the transformation matrix (^)  T (^)  M does not exist. So, we conclude that T is not a linear

transformation. ( Ans. )

7). We have,

3 4 T : RR

And T (^)  p q r , , (^)   (^)  pq ,0,  z y , 

So, we must need a 4  3 matrix consisting of real numbers only.

The given transformation can be written as,

p q p

T q

z r

y

  ^ 

p q r

p q r

z

y

 ^  

Since, the transformation matrix (^)  T (^)  M does not exist. So, we conclude that T is not a linear

transformation. ( Ans. )

8). We have,

3 3 T : RR

And T x y z  , , (^)   (^)  3 xy ,  2 x  4 y  3 ,5 z x  4 y  2 z

So, we must need a 3 ^3 matrix consisting of real numbers only.

The given transformation can be written as,

x (^) x y

T y x y z

z (^) x y z

 ^  

x y z

x y z

x y z

 ^  

x

y

z

Mv

Since,  

T M

is a matrix of order 3  3 , so we conclude that T is a linear

transformation. ( Ans. )

Now,      

T             

Since, (^)  T (^)   0 , so 

1 T

 exists.

Hence,

1 T

 exists and 

1 T

 will be the transformation matrix.

The cofactors are, A 11^  4,^ A 12^ ^ 11,^ A 13^ ^ 12,^ A 21^ ^ 2,^ A 22^  6,^ A 23^  7,^ A 31^ ^ 3,^ A 32  9,

33

A   10.

The matrix of cofactors is,

 

t

adj T

 ^    

 

 

 

1

adj T

T

T

 ^   ^  