Are all 2x2 Matrices with det(A) = 0 a Subspace of M2x2?

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In summary, not all 2x2 matrices with det(A) = 0 are a subspace of M2x2, as shown by the example of adding two matrices with determinants of 0 resulting in a nonzero determinant, disproving the closure property of addition.
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Homework Statement


Determine whether all 2x2 matrices with det(A) = 0 are a subspace of M2x2, the set of all 2x2 matrices with the standard operations of addition and scalar multiplication.

Homework Equations


Must pass in order to be a subspace
Closure property of addition - If w and v are objects in A, then w+v are contained within A
Closure property of scalar multiplication - If K is any real number scalar and v is any object in A, then kv is also in A

The Attempt at a Solution


I wasn't sure where to really start with this one so I picked a matrix with a determinant of 0
B2x2 = [[w1,w2][w1,w2] and added it to another det=0 matrix C2x2 = [[v1,v1][v2,v2]]

Added together they make D2x2 = [[w1+v1,w2+v1][w1+v2,w2+v2]] which wouldn't have a det of 0 so this wouldn't be a subspace right?
 
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  • #2
You have the right idea, but to make this a proof you need to either (1) give specific values for [tex]v_1, v_2, w_1, w_2[/tex] which show that the result matrix is invertible, or (2) compute the determinant of your result matrix in terms of [tex]v_1, v_2, w_1, w_2[/tex] and prove that this expression takes nonzero values.
 
  • #3
Ok then an example that would disprove this as a subspace would be

[[3,13][3,13]]+[[5,5][7,7]] = [[8,18][10,20]]

det of [[8,18][10,20]] = -20 so it fails
 
  • #4
Yes, this is correct.

There is also a simpler example (which doesn't match the pattern you gave): [tex]\left( \begin{array}{cc} 1 & 0 \\ 0 & 0 \end{array} \right) + \left( \begin{array}{cc} 0 & 0 \\ 0 & 1 \end{array} \right) = \left( \begin{array}{cc} 1 & 0 \\ 0 & 1 \end{array} \right).[/tex]
 

Related to Are all 2x2 Matrices with det(A) = 0 a Subspace of M2x2?

1. What is a "Det=0 subspace"?

The "Det=0 subspace" refers to a mathematical concept in linear algebra where the determinant of a matrix is equal to zero. This means that the matrix is singular and does not have an inverse.

2. Why is the "Det=0 subspace" important in science?

The "Det=0 subspace" is important in science because it helps us understand and solve systems of linear equations. This is crucial in various fields such as physics, engineering, and economics.

3. How do you determine if a subspace has a determinant of zero?

To determine if a subspace has a determinant of zero, you can use various methods such as finding the eigenvalues of the matrix or using Gaussian elimination to reduce the matrix to its row echelon form.

4. What are the applications of the "Det=0 subspace" in real life?

The "Det=0 subspace" has practical applications in various fields such as computer graphics, machine learning, and signal processing. It is also used in solving optimization problems, finding equilibria in game theory, and in determining the stability of systems in control theory.

5. Can you give an example of a "Det=0 subspace" in science?

One example of a "Det=0 subspace" in science is in the study of electric circuits. The flow of electricity through a circuit can be represented by a matrix, and if the determinant of this matrix is zero, it means that the circuit is short-circuited and cannot function properly.

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