Linear Algebra - proof of transformation

In summary, if T: V -> W is a linear transformation, then T(0) = 0. This can be proven by using the properties of linear transformations, specifically either T(u+ v)= T(u)+ T(v) with v= 0 or T(au)= aT(u) with a= 0. Additionally, in order to write a linear transformation as a matrix, we can use the transformation matrix A and a random vector v, in this case the zero vector, to represent T(v)= Av.
  • #1
NewtonianAlch
453
0

Homework Statement


Suppose T: V -> W is linear. Prove that T(0) = 0


The Attempt at a Solution



T(v) = Av
T(0) = A(0) = 0

Is that right?
 
Physics news on Phys.org
  • #2
What is A? Why can you write T(v)=Av? What is your definition of linear?
 
  • #3
A is the transformation matrix. For a transformation T, we need some kind of "transformer" and A is the transformation matrix I used. v is a random vector that is being transformed, in this case it's just the zero vector.
 
  • #4
Essentially you are using what you are asked to prove- you can write a linear transformation as a matrix because, among other things, T(0)= 0.

A linear transformation, T, from vector space U to vector space V, must satisfy
1) T(u+ v)= T(u)+ T(v) with u and v vectors in U.
2) T(au)= aT(u) with a a member of the underlying field and u a vector in U.

Use (1) with v= 0 or (2) with a= 0.
 

1. What is a transformation in linear algebra?

A transformation in linear algebra refers to a mathematical function that maps one vector space to another, while preserving the structure and operations of the vector space.

2. Why is proof of transformation important in linear algebra?

The proof of transformation is important in linear algebra because it provides a rigorous and logical way to verify that a transformation is valid and correctly defined. This helps to ensure the accuracy of mathematical calculations and the validity of results.

3. How is a transformation represented in linear algebra?

A transformation in linear algebra is usually represented by a matrix, which is a rectangular array of numbers. Each element of the matrix corresponds to a specific transformation of the vector space.

4. What are the types of transformations in linear algebra?

There are several types of transformations in linear algebra, including translation, rotation, scaling, reflection, and shearing. These transformations can be represented and manipulated using matrices and can be applied to a variety of mathematical problems.

5. How is a proof of transformation typically done in linear algebra?

A proof of transformation in linear algebra typically involves showing that the transformation preserves the properties of the vector space, such as addition, scalar multiplication, and linear combinations. This can be done using mathematical equations and logical reasoning.

Similar threads

  • Precalculus Mathematics Homework Help
Replies
8
Views
936
  • Precalculus Mathematics Homework Help
Replies
4
Views
1K
  • Precalculus Mathematics Homework Help
Replies
3
Views
1K
  • Linear and Abstract Algebra
Replies
3
Views
1K
Replies
3
Views
2K
  • Calculus and Beyond Homework Help
Replies
8
Views
608
  • Calculus and Beyond Homework Help
Replies
24
Views
784
  • Calculus and Beyond Homework Help
Replies
0
Views
441
  • Precalculus Mathematics Homework Help
Replies
32
Views
817
  • Linear and Abstract Algebra
Replies
3
Views
1K
Back
Top