Finding Basis for Kernel of Linear Transformations

In summary, the Hermite form of the given linear transformation is (-1/3, 5/3, 1) and the basis for its kernel is {(-1/3, 5/3, 1)} or {(-1, 5, 3)}.
  • #1
andrey21
476
0
Identify the Hermite form of the following linear transformations and the basis for its kernel

(x,y,z) = (x-y+2z,2x+y-z,-3x-6y+9z)

So when finding basis for kernel we have to set equal to 0, giving:

x-y+2z=0 (1)
2x+y-z=0 (2)
-3x-6y+9z=0 (3)

So from (1) we can see:

x=y-2z

Therefore (2) becomes:

2y-4z+y-z = 0

3y=5z

So (3) becomes:

-5z+6z -10z +9z=0

15z = 15z
z=z

This is as far as I can get, not sure of the next step, any help be fantastic:
 
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  • #2
andrey21 said:
Identify the Hermite form of the following linear transformations and the basis for its kernel

(x,y,z) = (x-y+2z,2x+y-z,-3x-6y+9z)

So when finding basis for kernel we have to set equal to 0, giving:

x-y+2z=0 (1)
2x+y-z=0 (2)
-3x-6y+9z=0 (3)

So from (1) we can see:

x=y-2z

Therefore (2) becomes:

2y-4z+y-z = 0

3y=5z

So (3) becomes:

-5z+6z -10z +9z=0

15z = 15z
z=z

This is as far as I can get, not sure of the next step, any help be fantastic:

OK, so you've reduced your system to

x=y-2z
3y=5z
z=z

So, you can even reduce this further to

x=3z
y=(5/3)z

so, the kernel is [tex]\{(3z,5z/3,z)~\vert~z\in \mathbb{R}\}[/tex]. Now, can you find a basis for this?
 
  • #3
Sorry I'm a little confused how you got x=3z??
 
  • #4
Oh, sorry, that was a mistake.

Basically, you have
x=y-2z
y=(5/3)z

Thus
x=(5/3)z-2z=-z/3

I hope I didn't do any wrong calculations this time.
 
  • #5
Ok so from what you have said:

=z(-1/3, 5/3, 1)

=(-1/3, 5/3, 1)
 
  • #6
Yes, that is indeed a basis!
 
  • #7
Thank you micromass:smile:
 
  • #8
andrey21 said:
Ok so from what you have said:

=z(-1/3, 5/3, 1)

=(-1/3, 5/3, 1)
Just a comment on notation- what you have written is incorrrect, unless you are assuming z= 1. Better would be to say that any vector in the kernel is of the form (-z/3, 5z/3, z)= z(-1/3, 5/3, 1) so that if z= 1 we have (-1/3, 5/3, 1) showing that the dimension of the kernel is 1 and that a basis (which is a set of vectors) is {(-1/3, 5/3, 1)}.

If you are like me and don't like fractions, you could take z= 3 and say that {(-1, 5, 3)} is a basis.
 

Related to Finding Basis for Kernel of Linear Transformations

What is a linear transformation?

A linear transformation is a mathematical function that maps a vector from one vector space to another while preserving the basic structure of the original vector. This means that the transformation does not change the origin or the direction of the vector, but it can stretch, rotate, or reflect the vector.

What are some examples of linear transformations?

Some examples of linear transformations include scaling, rotation, shearing, and reflection. A scaling transformation changes the size of a vector, while a rotation transformation changes the direction of a vector. A shearing transformation shifts the position of a vector, and a reflection transformation flips a vector across a line.

How is a linear transformation represented?

A linear transformation can be represented by a matrix, which is a rectangular array of numbers. Each column of the matrix represents the transformation of the corresponding unit vector in the original vector space. The resulting vector after the transformation can be found by multiplying the matrix by the original vector.

What is the importance of linear transformations in mathematics and science?

Linear transformations are important in mathematics and science because they allow us to model real-world phenomena and solve complex problems. They are used in fields such as physics, engineering, economics, and computer graphics to understand and analyze systems and data.

How are linear transformations related to linear algebra?

Linear transformations are a fundamental concept in linear algebra, which is the study of linear equations and their properties. They are used to solve systems of linear equations, perform matrix operations, and find eigenvalues and eigenvectors. Understanding linear transformations is crucial for understanding more advanced concepts in linear algebra.

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