Need help for one-to one linear transformation

To give an example of two linear transformations T and S such that ST is one-to-one but S is not, let V = W = U = R (the set of real numbers). Let T(x) = 2x and S(x) = x^2. Then ST(x) = S(T(x)) = S(2x) = (2x)^2 = 4x^2. This is a one-to-one function since if ST(x) = ST(y), then 4x^2 = 4y^2 and thus x = y. However, S(x) = x^2 is not one-to-one since for example, S(2) = S(-2) = 4
  • #1
angela123
3
0
Question: Let T:V-->W and S:W-->U be linear transformation.Show that
1) If T and S are one-to-one,then ST is one-to one
2) If ST is one-to-one,then T is one-to-one
3)Give example of two linear transformations T and S, such
that ST is one-to-one ,but S is not.

For 1),Since T is one-to-one,there is some vector in V,such that T(v)=O
Since S is one-to-one,there is some vector in W,such that S(w)=O
If ST is one-to-one,then there is some vector t in T,such that
ST(t)=S(T(t))=O,so how could I proof T(t)=w?

How about question 2) &3)
 
Physics news on Phys.org
  • #2
Since T is one-to-one,there is some vector in V,such that T(v)=O
How many are there?
 
  • #3
It could be more than One vector in V, such that T(v)=O,I know Ker T=O


Angela
 
  • #4
Sorry, I made a mistake,It has only One vector in V, such that T(v)=O




Angela
 
  • #5
Here is one way to do:
2) If ST is one-to-one,then T is one-to-one

Proof: Suppose T is not one-to-one. Then there exists x, y in V, x != y, such that T(x) = T(y).Then ST(x) = S(T(x)) = S(T(y)) = ST(y) but x != y, and thus ST is not one-to-one.

You should try to give a direct proof for practice. Also notice the fact that S and T are linear transformations was never used and so this result holds for functions in general.
 
Last edited:

FAQ: Need help for one-to one linear transformation

What is a one-to-one linear transformation?

A one-to-one linear transformation is a function that takes one vector as input and outputs a different vector while preserving the properties of linearity, such as scaling and addition. This means that each input vector has a unique output vector, and the transformation does not collapse any vectors onto each other.

What are the properties of a one-to-one linear transformation?

A one-to-one linear transformation has two main properties: it is uniquely defined by its input and output vectors, and it preserves linearity. This means that the transformation of a scaled or added vector will be the same as scaling or adding the transformed vector, respectively.

What is the difference between a one-to-one linear transformation and a many-to-one linear transformation?

The main difference between these two types of transformations is the number of input vectors that map to each output vector. In a one-to-one linear transformation, each input vector has a unique output vector, while in a many-to-one linear transformation, multiple input vectors can map to the same output vector.

How can one-to-one linear transformations be represented mathematically?

One-to-one linear transformations can be represented using matrices, where the input vector is multiplied by a transformation matrix to produce the output vector. The matrix must have the same number of columns as the input vector and the same number of rows as the output vector.

What are some real-world applications of one-to-one linear transformations?

One-to-one linear transformations have many applications in fields such as physics, economics, and computer graphics. In physics, they are used to describe the relationship between different physical quantities. In economics, they can be used to model supply and demand curves. In computer graphics, they are used to transform 2D and 3D objects on a screen.

Similar threads

Back
Top