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@stepbystep001

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AX = I, so A and X have the same size
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84%
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16%
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if AX = I, then XA = I
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28%
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AX = I, then A and X are squared matrices
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in 2x2 matrix if ad-bc = 0 The matrix can has an inverse
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to get the inverse of A 2x2 matrix we can use this formula: 1/ad-bc .B where B is the same as A with swapping diagonal elements and multiply non-diagonal elements by -1, and to make sure that ad-bc not equal to 0
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If A is invertible, the reduced row-echelon form of A is I
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if A is invertible AX = b has exactly one solution for every nx1 vector b
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if A is invertible AX = 0 has exactly one solution (namely trivial solution x=0)
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if A is invertible then AX = b has exactly one solution namely A^-1 .b
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if A isn’t invertible, then AX = b has either infinite solutions or no solutions
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(A^-1)^-1 =
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A^-1
92%
A
(5A)^-1 = 1/5 A^-1
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(AB)^-1 =
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A^-1 . B^-1
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B^-1 . A^-1
if a product AB isn’t invertible then A or B isn’t invertible
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if A or B isn’t invertible then AB isn’t invertible
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ax + by = c          ( a ≠ 0 or b ≠ 0 ) is an example of linear equation in Three-dimensional
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linear equation can involve products or roots of variables
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all variables in linear equations occur only to the first power and don't appear
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aij in a linear system, the ……. subscript indicates the equations in which the coefficient occurs and the …….indicates which unknowns it multiplies.
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first - second
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second - first
We say that a linear system is inconsistent If it has at least one solution
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We say that a linear system is ……. If it has at least one solution and …….. if it has no solutions
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consistent   - inconsistent         
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inconsistent   -  consistent