Chapter 5: Problem 9
Verify the product law for differentiation, \((\mathbf{A B})^{\prime}=\mathbf{A}^{\prime} \mathbf{B}+\mathbf{A B}^{\prime}\). \(\mathbf{A}(t)=\left[\begin{array}{cc}t & 2 t-1 \\ t^{3} & \frac{1}{t}\end{array}\right]\) and \(\mathbf{B}(t)=\left[\begin{array}{cc}1-t & 1+t \\ 3 t^{2} & 4 t^{3}\end{array}\right]\)
Short Answer
Step by step solution
Differentiate matrix A
Differentiate matrix B
Compute the product \(\mathbf{A}'(t)\mathbf{B}(t)\)
Compute the product \(\mathbf{A}(t)\mathbf{B}'(t)\)
Add results from Steps 3 and 4
Differentiate the product \((\mathbf{A}(t)\mathbf{B}(t))\) and verify
Verification
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Key Concepts
These are the key concepts you need to understand to accurately answer the question.
Product Rule for Differentiation
- First differentiate \(\mathbf{A}(t)\), and then multiply the resultant matrix by \(\mathbf{B}(t)\).
- Next, differentiate \(\mathbf{B}(t)\) and multiply this derivative matrix by the original \(\mathbf{A}(t)\).
- Finally, add these two results together.
Matrix Differentiation
- To differentiate a matrix like \(\mathbf{A}(t)\), you perform the differentiation element-wise. Consider each element as a separate small function.
- For example, if an element is \(t^3\), its derivative is \(3t^2\).
Matrix Multiplication
- To multiply two matrices \(\mathbf{A}\) and \(\mathbf{B}\), each element of the resulting matrix is calculated as the dot product of the corresponding row of \(\mathbf{A}\) and column of \(\mathbf{B}\).
- This involves multiplying corresponding elements and summing up those products.