Determination of Linear transformation

In summary: So, in summary, the question asks to determine if T is a linear transformation and to give the domain and range of T. The solution involves substituting rx for x and ry for y in the given T(x,y) expression and comparing the result with rT(u).
  • #1
Maxwhale
35
0

Homework Statement



Determine if the following T is linear tranformation, and give the domain and range of T:

T(x,y) = (x + y2, [tex]\sqrt[3]{xy}[/tex] )

Homework Equations



T ( u + v) = T(u) + T(v)

T(ru) = rT(u)



The Attempt at a Solution


1)
let u = (x1, x2);
T(ru ) = T(rx1, rx2)
T(ru )= r(x + y2) , r([tex]\sqrt[3]{xy}[/tex] )
T(ru ) = r(x + y2 , [tex]\sqrt[3]{xy}[/tex] )

so it suffices the first condition, right?

2)
let u = (x1, y1) and let v = (y1, y2);
T ( u + v ) = T ( x1 + y1, x2 + y2)
T ( u + v ) = Here I am confused with the term ( x + y2)
T ( u + v )


Any help please !
 
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  • #3
(rx, ry)
 
  • #4
Yes.

So T(ru) = T(rx, ry) = ?
 
  • #5
yeah i have done that
 
  • #6
Okay, but you did it wrong.

What do you get when you substitute rx for x, and ry for y, into
T(x,y) = (x + y2, [tex]\sqrt[3]{xy}[/tex] )

EDIT: FYI this is the part that I'm trying to correct:
Maxwhale said:

The Attempt at a Solution


1)
let u = (x1, x2);
T(ru ) = T(rx1, rx2)
T(ru )= r(x + y2) , r([tex]\sqrt[3]{xy}[/tex] )
T(ru ) = r(x + y2 , [tex]\sqrt[3]{xy}[/tex] )

so it suffices the first condition, right?
 
Last edited:
  • #7
should it be

let u = (x1, x2);
T(ru ) = T(rx1, rx2)
T(ru )= ( (rx1 + (rx2)2), [tex]\sqrt[3]{(rx)(ry)}[/tex] )
 
  • #8
Yes. Although x1 is x, and x2 is y, of course.

Next (as you know), you compare that expression with rT(u).
 

Related to Determination of Linear transformation

1. What is a linear transformation?

A linear transformation is a mathematical function that maps one vector space onto another, while preserving the operations of vector addition and scalar multiplication. It can be represented by a matrix and can be used to transform geometric objects such as points, lines, and planes.

2. How is a linear transformation determined?

A linear transformation is determined by its effect on a set of basis vectors. The transformation matrix can be found by applying the transformation to each basis vector and writing the resulting vectors as columns of a matrix. This matrix can then be used to transform any vector in the original vector space.

3. What are the properties of a linear transformation?

A linear transformation has three main properties: it preserves vector addition, scalar multiplication, and the zero vector. This means that the transformation of the sum of two vectors is equal to the sum of the individual transformations, the transformation of a scalar multiple of a vector is equal to the scalar multiple of the transformation of that vector, and the transformation of the zero vector is equal to the zero vector.

4. How is a linear transformation different from other types of transformations?

A linear transformation is different from other types of transformations, such as nonlinear or affine transformations, because it preserves the properties of vector addition and scalar multiplication. This means that geometric objects, such as lines and planes, will maintain their shape and orientation after being transformed.

5. What are some real-world applications of linear transformations?

Linear transformations have many applications in fields such as engineering, computer graphics, and physics. They can be used to rotate, scale, and stretch images in computer graphics, to model and analyze physical systems in engineering and physics, and to solve systems of linear equations in mathematics and data analysis.

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