03 Determinants Flashcards
The (i, j)-cofactor of A is the number Cij given by
Cij = ___
The (i, j)-cofactor of A is the number Cij given by
Cij = (-1)i+j det Aij
The determinant of an n x n matrix
det A =
The determinant of an n x n matrix
det A = ai1Ci1 + ai2Ci2 + … + ainCin
Suppose a square matrix A has been reduced to an echelon form U by row replacements and row interchanges.
det A =
Suppose a square matrix A has been reduced to an echelon form U by row replacements and row interchanges.
det A = (-1)r * product of pivots in U
(if A is invertible)
If A is a triangular matrix, then det A is ____
If A is a triangular matrix, then det A is the product of the entries on the main diagonal of A.
Let A be a square matrix
- If a multiple of one row of A is added to another row to produce a matrix B, then det B = __
- If two rows of A are interchanged to produce B, then det B = __
- If one row of A is multiplied by k to produce B, then det B = __
Let A be a square matrix
- If a multiple of one row of A is added to another row to produce a matrix B, then det B = det A
- If two rows of A are interchanged to produce B, then det B = - det A.
- If one row of A is multiplied by k to produce B, then det B = k det A
If A is an n x n matrix, then det AT = ___
If A is an n x n matrix, then det AT = det A
If A and B are n x n matrices, then det AB = ___
If A and B are n x n matrices, then det AB = (det A)(det B)
Cramer’s Rule
For any n x n matrix A and any b in Rn, let Ai(b) be the matrix obtained from A by replacing column i by the vector b.
Ai(b) = [a1 … b … an]
Cramer’s Rule
Let A be an invertible n x n matrix. For any b in Rn, the unique solution x of Ac = b has entries given by
xi = det Ai(b) / det A
Let A be an invertible n x n matrix. Then
A-1 =
Let A be an invertible n x n matrix. Then
A-1 = (1/det A) adj A
where adj A is the transpose of the matrix of cofactors.
If A is a 2 x 2 matrix ____ is |det A|. If A is a 3 x 3 matrix, ______ is |det A|.
If A is a 2 x 2 matrix the area of the parallelogram determined by the columns of A is |det A|. If A is a 3 x 3 matrix, the volume of the parallelepiped determined by the columns of A is |det A|.
Let T : R2 -> R2 be the linear transformation determined by a 2 x 2 matrix A. If S i a parallelogram in R2, then
{area of T(S)} = __
If T is determined by a 3 x 3 matrix A, and if S is parallelepiped in R2, then
{volume of T(S)} = __
Let T : R2 -> R2 be the linear transformation determined by a 2 x 2 matrix A. If S i a parallelogram in R2, then
{area of T(S)} = |det A| {area of S}
If T is determined by a 3 x 3 matrix A, and if S is parallelepiped in R2, then
{volume of T(S)} = |det A| {volume of S}