Vector spaces and spanning sets

In summary, another spanning set for M22 is [2, 0], [0, 2], [0, 0], [0, 0], [0, 0], [0, 0], [2, 0], [0, 2]. This set is also linearly independent, meaning that any matrix in M22 can be written as a unique linear combination of these matrices.
  • #1
misterau
20
0

Homework Statement


Knowing this set spans M22:

[1 , 0] , [0 , 1] , [0 , 0] ,[0 , 0]
[0 , 0] , [0 , 0] , [1 , 0] ,[0 , 1]

What is another spanning set for this vector space? Justify your choice by showing that it is a linearly independent set.

The Attempt at a Solution



[2 , 0] , [0 , 2] , [0 , 0] ,[0 , 0]
[0 , 0] , [0 , 0] , [2 , 0] ,[0 , 2]

I am I on the right track?
 
Physics news on Phys.org
  • #2
This question is not well worded, IMO. You could add any old 2x2 matrix to the original set and still have a spanning set, but the new set would not be linearly independent, which is not a requirement of a spanning set. This is, however, a requirement of a minimal spanning set, which is the same as a basis.

Your set of matrices is also a spanning set. To convince yourself of this show that any matrix M in M22 can be written as a linear combination of the elements in your set. I.e., c1*M1 + c2*M2 + c3*M3 + c4*M4 = M, where the Mi's are the matrices in your set.

To show that your set of matrices is linearly independent, show that the equation
c1*M1 + c2*M2 + c3*M3 + c4*M4 = 0 has exactly one solution: c1 = c2 = c3 = c4 = 0.
 
  • #3
Thanks for the help!
 

Related to Vector spaces and spanning sets

1. What is a vector space?

A vector space is a mathematical structure consisting of a set of vectors and two operations, addition and scalar multiplication, that satisfy certain properties such as closure, associativity, and distributivity. It is used to model and analyze objects and phenomena in a wide range of fields including physics, engineering, and computer graphics.

2. What is the dimension of a vector space?

The dimension of a vector space is the minimum number of linearly independent vectors required to span the entire space. It can also be thought of as the number of coordinates needed to uniquely describe any vector in the space. For example, the dimension of the 2D Cartesian plane is 2, as any point can be described using two coordinates (x, y).

3. What does it mean for a set of vectors to span a vector space?

A set of vectors spans a vector space if every vector in the space can be written as a linear combination of the given vectors. In other words, the set of vectors contains enough information to describe every vector in the space.

4. How do you determine if a set of vectors is linearly independent?

A set of vectors is linearly independent if none of the vectors in the set can be written as a linear combination of the other vectors. This means that each vector in the set adds new information to the space and cannot be expressed as a combination of the others. One way to determine linear independence is through the use of the determinant, where a set of vectors is linearly independent if and only if the determinant of their matrix is non-zero.

5. Can a vector space have an infinite number of vectors?

Yes, a vector space can have an infinite number of vectors. For example, the vector space of all polynomials has an infinite number of vectors, as there are infinitely many possible combinations of coefficients for a given set of terms.

Similar threads

  • Calculus and Beyond Homework Help
Replies
8
Views
692
  • Calculus and Beyond Homework Help
Replies
15
Views
840
  • Calculus and Beyond Homework Help
Replies
6
Views
1K
  • Calculus and Beyond Homework Help
Replies
0
Views
481
  • Calculus and Beyond Homework Help
Replies
2
Views
1K
  • Calculus and Beyond Homework Help
Replies
1
Views
253
  • Calculus and Beyond Homework Help
Replies
2
Views
333
  • Calculus and Beyond Homework Help
Replies
2
Views
585
  • Calculus and Beyond Homework Help
Replies
9
Views
1K
  • Calculus and Beyond Homework Help
Replies
24
Views
913
Back
Top