Table of contents
- 0. Review of Algebra4h 16m
- 1. Equations & Inequalities3h 18m
- 2. Graphs of Equations43m
- 3. Functions2h 17m
- 4. Polynomial Functions1h 44m
- 5. Rational Functions1h 23m
- 6. Exponential & Logarithmic Functions2h 28m
- 7. Systems of Equations & Matrices4h 6m
- 8. Conic Sections2h 23m
- 9. Sequences, Series, & Induction1h 19m
- 10. Combinatorics & Probability1h 45m
7. Systems of Equations & Matrices
Determinants and Cramer's Rule
7:49 minutes
Problem 40
Textbook Question
Textbook QuestionIn Exercises 39–42, find A^(-1) Check that AA^-1 = I and A^(-1)A = I
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Key Concepts
Here are the essential concepts you must grasp in order to answer the question correctly.
Inverse of a Matrix
The inverse of a matrix A, denoted A^(-1), is a matrix that, when multiplied by A, yields the identity matrix I. This means that AA^(-1) = I and A^(-1)A = I. Not all matrices have inverses; a matrix must be square and have a non-zero determinant to possess an inverse.
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Identity Matrix
The identity matrix, denoted I, is a special square matrix that has ones on the diagonal and zeros elsewhere. It acts as the multiplicative identity in matrix multiplication, meaning that for any matrix A, multiplying by I leaves A unchanged (AI = A and IA = A). The identity matrix is crucial for verifying the correctness of matrix inverses.
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Determinant
The determinant is a scalar value that can be computed from the elements of a square matrix and provides important properties about the matrix. A non-zero determinant indicates that the matrix is invertible, while a zero determinant signifies that the matrix does not have an inverse. Understanding determinants is essential for determining whether a matrix can be inverted.
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