What is the nullity and geometric description of the kernel and range of T?

  • Thread starter Thread starter trojansc82
  • Start date Start date
  • Tags Tags
    Kernel
Click For Summary
SUMMARY

The discussion focuses on the nullity and geometric description of the kernel and range of the linear transformation T, defined as the projection onto the vector v = (1, 2, 2). The nullity of T is determined to be 2, as the kernel consists of all vectors orthogonal to v, represented by the equation x + 2y + 2z = 0. The range of T is the one-dimensional subspace spanned by the vector v, while the kernel is a two-dimensional space characterized by the basis vectors <-2, 1, 0> and <-2, 0, 1>.

PREREQUISITES
  • Understanding of linear transformations and projections
  • Familiarity with kernel and range concepts in linear algebra
  • Knowledge of vector spaces and their dimensions
  • Ability to perform row reduction on matrices
NEXT STEPS
  • Study the properties of linear transformations in detail
  • Learn about the geometric interpretation of kernel and range
  • Explore the Gram-Schmidt process for orthogonalization
  • Investigate the relationship between nullity and rank in linear algebra
USEFUL FOR

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

trojansc82
Messages
57
Reaction score
0

Homework Statement



Use the given information to find the nullity of T and give a geometric description of the kernel and range of T.

T is the projection onto the vector v = (1,2,2):

T(x,y,z) = (x + 2y + 2z)/9 (1,2,2)

Homework Equations



Kernel of T = T(v) = 0.

Nullity of T = dimension of the kernel of T

The Attempt at a Solution



I created an augmented matrix that looks like this:

[ 1/9 2/9 2/9 | 1
2/9 4/9 4/9 | 2
2/9 4/9 4/9 | 2 ]

Row reducing I get just one vector because the other two are a scalar.

However, the answer in the book says the nullity is 2, so I am off.
 
Physics news on Phys.org
You are overworking this. Given a vector z, any vector v can be written as au+ bz, where u is perpendicular to z, so that T(v)= bz. In particular, the range of T is the subspace spanned by z and the kernel is the orthogonal complement to that. Here, the range is the one-dimensional subspace spanned by <1, 2, 2>. It's orthogonal complement, the kernel, is the two dimensional space of all vectors <x, y, z> such that <x, y, z>.<1, 2, 2>= x+ 2y+ 2z= 0. x= -2y- 2z so <x, y, z>= <-2y- 2z, y, z>= <-2y, y, 0>+ <-2z, 0, z>= y<-2, 1, 0>+ z<-2, 0, 1> so the kernel has basis {<-2, 1, 0>, <-2, 0, 1>}.
 

Similar threads

  • · Replies 1 ·
Replies
1
Views
2K
Replies
5
Views
2K
  • · Replies 9 ·
Replies
9
Views
4K
  • · Replies 8 ·
Replies
8
Views
2K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 3 ·
Replies
3
Views
3K
  • · Replies 3 ·
Replies
3
Views
16K
Replies
8
Views
2K
Replies
4
Views
2K
  • · Replies 36 ·
2
Replies
36
Views
5K