This answers the question of whether AB=BA, given that A and B are both matrices.

There are this many cofactors in an n*n matrix.

The magnitude of vector V can also be called by this 4 letter word.

There are this many axioms to confirm that a set of objects is a vector space.

True or false answers whether the eigenvalues of a matrix are solely determined by the main diagonal.

The domain of a 5*6 matrix is this.

Out of true and false, this is the correct answer to the statement that the sum of the determinants of two matrices is equal to the determinant of the sum of the matrices.

This trignometric function can be used to calculate the dot product of 2 vectors.

This subspace only has one vector in it.

This number can't be a eigenvalue for a matrix to be invertible.

Two matrices are row equivalent when this condition is true.

Out of the 3 elementary row operations, this many change the determinant.

The coefficients in the equation of the line 5(x-1) +4(y+3) are components of this vector that is orthogonal to the line.

Two spans are equal to each other if this is true.

This formula is called the characteristic equation of matrix A.

This is the sum of the diagonal elements of a matrix.

The transpose of the matrix of cofactors of matrix A is called this.

This inequality desrcibes the statement where the magnitude of two multiplied vectors is less than the product of the two magnitudes of the individual vectors.

If this determinant is 0, the set of differentiable functions is linearly dependent.

This is a property that is preserved by a similarity transformation.

This condition needs to met for the product of 2 symetric matrices to be symmetric.

If A is an n*n matrix, and determinant A= x, det(kA) is equal to this.

The scalar addition of 3 vectors u+v+w composes the digonal of this figure.

This is the orthogonal complement to the null space of the transpose of A.

Either true or false is the answer to the statement that tr(A)= tr(P^-1 AP)