Unit Lower Triangular Matrices as Vector Spaces | Proof & Properties

In summary, the conversation discusses whether the set of all unit lower triangular 3 x 3 matrices is a vector space. The conversation mentions checking the properties of vector spaces and proving that upper triangular matrices are vector spaces. It is mentioned that the set of lower triangular matrices have the same properties as upper triangular matrices and the proofs are similar. The key aspect in this problem is the word "unit" and whether the 0 matrix is included in the set of "unit lower triangular matrices".
  • #1
Maxwhale
35
0

Homework Statement



Is the following a vector space?

The set of all unit lower triangular 3 x 3 matrices

[1 0 0]
[a 1 0]
[b c 1]

Homework Equations



Properties of vector spaces

The Attempt at a Solution



I checked the properties of vector space (usual addition and scalar multiplication). I proved that the upper triangular 3 x 3 matrices are vector spaces as they suffice all the properties of vector space. But I am not quite confident about lower triangle.
 
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  • #2
Did you verify that upper triangular 3 x 3 matrices satisfy all 10 of the axioms for a vector space? From what you wrote you might be thinking that there are only two axioms.

OTOH, if all you need to do is prove that the set of upper triangular (or lower triangular) 3 x 3 matrices is a subspace of the vector space of 3 x 3 matrices, then all you need to do is show that both of the following are true:
  1. If A and B are lower triangular 3 x 3 matrices, then so is A + B.
  2. If A is any lower triangular 3 x 3 matrix, and c is a scalar, then c*A is a lower triangular 3 x 3 matrix.
As a shortcut, if you can show that c*(A + B) is lower triangular 3 x 3, with A, B, and c as described above, that will do it.

If you're actually trying to show that these lower triangular matrices form a vector space, which of the 10 axioms are you having trouble with?
 
  • #3
"Lower triangular matrices" have exactly the same properties as "upper triangular matrices" and the proofs are essentially the same. But the crucial word here is "unit". I assume the problem assumes the usual addition and scalar multiplication of matrices. Is the 0 matrix in the set of "unit lower triangular matrices"?
 

1. What is a unit lower triangular matrix?

A unit lower triangular matrix is a square matrix with all elements above the main diagonal being zero, and all elements on the main diagonal being equal to 1.

2. How can a unit lower triangular matrix be represented as a vector space?

A unit lower triangular matrix can be represented as a vector space by considering it as a collection of column vectors, with each column vector representing a basis vector for the vector space.

3. What is the proof that a unit lower triangular matrix is a vector space?

The proof that a unit lower triangular matrix is a vector space involves showing that it satisfies the 10 vector space axioms, including closure under addition and scalar multiplication, and the existence of a zero vector and additive inverse.

4. What are the properties of a unit lower triangular matrix as a vector space?

Some key properties of a unit lower triangular matrix as a vector space include the fact that the dimension of the vector space is equal to the number of columns in the matrix, and that the basis vectors are linearly independent.

5. How is the unit lower triangular matrix used in real-world applications?

The unit lower triangular matrix is used in various fields such as engineering, physics, and economics to solve systems of linear equations. It is also used in machine learning algorithms and in the implementation of numerical methods for solving differential equations.

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