If AX = I (identity matrix), We can get the value of X if we do this operation (1/A)
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64%
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36%
F
if A is a n x n matrix, then the reduced row echelon form of A is I (identity matrix)
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90%
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10%
F
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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84%
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16%
F
if A is a n x n matrix, then the equation AX = 0 has exactly one solution.
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67%
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33%
F
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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88%
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13%
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بسم الله والصلاة والسلام على رسول الله ﷺ.
Linear Algebra
Chapter 2 (Determinants)
Linear Algebra
Chapter 2 (Determinants)
if A is a square matrix, then the minor of entry aij is denoted by Mij and is defined to be determinant of the submatrix that remains after the ith row, and the jth column are deleted from A
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92%
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8%
F
The number (-1)^i+j Mij is denoted by Cij and is called the cofactor of entry aij
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92%
T
8%
F