Triangular matricies and subspaces

In summary, the conversation is discussing whether the set of all upper-triangular nxn matrices is a subspace of the vector space Mnn. The methods for checking if it is a subspace include verifying if the zero matrix is contained, if the matrix is closed under addition and multiplication, and if the elements of the matrix exist in the field. The conversation also mentions the possibility of checking for lower-triangular and diagonal matrices as well.
  • #1
mohdhm
42
0
hello again

I was asked if the set of all uppertriangular nxn matricies are a subspace of Mnn,

how would you check if it has a zero vector and closed under addition and multiplication ? and why did they ask for the upper triangular matrix instead of the lower one? or either
 
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  • #2
Ask yourself the following:

1) If all the upper-triangular elements were to take on values of zero, is the zero matrix contained in the subspace (and is this the same zero vector of your vector space? This means it should be an n by n zero matrix).

2) If you add an upper-triangular matrix with another upper-triangular matrix, do you get an upper-triangular matrix in return? Does the elements of the matrix have elements from your field?

3) Do this again with multiplying your upper-triangle matrix by a constant. Do you get another upper-triangular matrix? Does the elements of the matrix exist in your field?

Do this for lower-triangular ones and diagonal ones and see if they're subspaces or not.
 
  • #3
thanks brian, makes sense, and so simple
 

1. What is a triangular matrix?

A triangular matrix is a special type of square matrix where all the elements above or below the main diagonal are zero.

2. What is the difference between upper and lower triangular matrices?

An upper triangular matrix has all its non-zero elements on or above the main diagonal, while a lower triangular matrix has all its non-zero elements on or below the main diagonal.

3. How are triangular matrices useful in solving linear systems?

Triangular matrices can be easily solved using backward or forward substitution, making them useful in solving linear systems of equations. They also have a simpler form compared to general matrices, making calculations easier.

4. What is a subspace?

A subspace is a subset of a vector space that satisfies the three axioms of a vector space, namely closure under addition, scalar multiplication, and contains the zero vector.

5. How are triangular matrices and subspaces related?

Triangular matrices are useful in determining if a set of vectors form a subspace, as they can easily be checked for closure under addition and scalar multiplication. Also, the span of a set of vectors can be represented by a matrix, which can be triangular in certain cases.

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