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@stepbystep001

ومـما زادني شـرفـاً وتـيــهـاً
وكدت بأخمصي أطأ الـثريا
دخولي تحت قولك يا عبادي
وأن صـيَّرت أحمد لي نـبيـا
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The resulting matrix for multiplying A and B has the same number of rows as A and the same number of columns as B
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With matrices, multiplication is not commutative
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Zero matrix can't come in all different shapes and sizes
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Identity matrix can come in all different shapes and sizes
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If AX = I (identity matrix), then A is called invertible
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If AX = I (identity matrix), We can get the value of X if we do this operation (1/A)
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which sentence is true
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X = b A^-1
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X = A^-1  b 
if A is a n x n matrix, then the reduced row echelon form of A is I (identity matrix)
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if A is a n x n matrix, then the equation AX = b has exactly one solution for every n x 1 vector b
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if A is a n x n matrix, then the equation AX = 0 has exactly one solution.
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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 is not invertible, then AX = b has no solution
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If A is n x n invertible matrix, then KA is invertible for any nonzero scalar n; (KA)^-1 = (1/k)A^-1
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if a product AB is not invertible, then A or B is not invertible.
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if A or B are invertible, then AB can be invertible in one case
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تم تحويل جميع أسئلة Linear algebra Chapter 1 ولله الحمد
بسم الله والصلاة والسلام على رسول الله ﷺ.
Linear Algebra
Chapter 2 (Determinants)
det(A) = …. A is a 2x2 matrix
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ad + bc
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ab – dc
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ad – bc
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ac – bd
A^-1 = 1/det(A) [d -b -c a]
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det(A) =
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matrix
det(A), A is a
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matrix