Math Problem Statement
Solution
We are asked to find the determinant of the matrix expression:
where , , and .
Step-by-step breakdown:
1. Determinant of :
Using the property of determinants for matrix products: Substitute the given values:
2. Determinant of :
The determinant of the inverse of a matrix is the reciprocal of the determinant:
3. Determinant of :
The determinant of a scalar multiplied by a matrix is given by: (Note: The power 3 comes from the matrix being .)
4. Determinant of :
Using the property of determinants for matrix products: Substitute the values:
5. Determinant of :
The determinant of a matrix raised to a power is the determinant raised to that power:
6. Determinant of :
The determinant of a transpose of a matrix is the same as the determinant of the matrix:
7. Final step: Determinant of the entire expression:
Using the property of determinants for matrix products again: [ \det\left(\left[(ABC)^{-1}(4A)\right]^2(C^T)\right) = \det\left(\left[(ABC)^{-1}(4A)\right]^2\right) \cdot \det(C^T). ] Substitute the values:
Final Answer:
Let me know if you'd like any details or have further questions.
Here are 5 related questions to expand your understanding:
- How does the determinant change when a matrix is multiplied by a scalar?
- What is the relationship between the determinant of a matrix and its inverse?
- How do we compute the determinant of a product of matrices?
- What properties of transposes help in determinant calculations?
- Can you explain why determinants are multiplicative over matrix products?
Tip: When raising a matrix to a power, remember that the determinant of the matrix is also raised to that power.
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Math Problem Analysis
Mathematical Concepts
Matrix Determinants
Matrix Multiplication
Inverse of a Matrix
Transpose of a Matrix
Formulas
det(ABC) = det(A) * det(B) * det(C)
det((ABC)^{-1}) = 1 / det(ABC)
det(kA) = k^n * det(A) for n × n matrix
det(C^T) = det(C)
det(A^m) = (det(A))^m
Theorems
Properties of Determinants
Determinant of a Product
Determinant of an Inverse Matrix
Determinant of a Transpose Matrix
Suitable Grade Level
University level
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