Is this is linear transformation?

Click For Summary
SUMMARY

The discussion centers on the question of whether the function F: R2 → R3, defined as F[(x1, x2)] = (x1, x2, 0), qualifies as a linear transformation. It is established that for F to be a linear transformation, it must preserve vector addition and scalar multiplication. The identity matrix representation, F(x) = Ix, is referenced, indicating that the transformation can be analyzed through these linearity conditions.

PREREQUISITES
  • Understanding of linear transformations in linear algebra
  • Familiarity with vector spaces R2 and R3
  • Knowledge of vector addition and scalar multiplication
  • Basic concepts of identity matrices
NEXT STEPS
  • Review the definition and properties of linear transformations
  • Study examples of transformations between different dimensional vector spaces
  • Learn how to verify linearity through vector addition and scalar multiplication
  • Explore the role of identity matrices in linear algebra
USEFUL FOR

Students of linear algebra, educators teaching linear transformations, and anyone seeking to deepen their understanding of vector spaces and their properties.

Jamin2112
Messages
973
Reaction score
12

Homework Statement



My buddy was asking me this question. It's from his linear algebra homework.

F: R2 --> R3
F[(x1 x2)] = (x1 x2 0)

Homework Equations



I can't remember the definition of "linear transformation." Hopefully it's not too complicated.

The Attempt at a Solution



I don't think you have a vector with 2 rows be transformed into a vector with 3 rows. However, (x1 x2 0) really is just equal to (x1 x2), so we could have F(x)=Ix, where I is the identity matrix. (Right? I dunno. I haven't taken this class for quite some time)
 
Physics news on Phys.org
To determine whether this is linear, your buddy needs to check whether it preserves vector addition and scalar multiplication.
 

Similar threads

  • · Replies 26 ·
Replies
26
Views
3K
  • · Replies 8 ·
Replies
8
Views
1K
  • · Replies 24 ·
Replies
24
Views
3K
  • · Replies 6 ·
Replies
6
Views
2K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 3 ·
Replies
3
Views
3K
  • · Replies 4 ·
Replies
4
Views
2K
  • · Replies 9 ·
Replies
9
Views
4K
  • · Replies 1 ·
Replies
1
Views
2K
Replies
14
Views
2K