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Let \(\mathbf{F}(x, y, z)=x \mathbf{i}+y \mathbf{j}+z \mathbf{k},\) and let \(f(x, y, z)=\|\mathbf{F}(x, y, z)\| .\) $$ \text { Show that } \nabla(\ln f)=\frac{\mathbf{F}}{f^{2}} $$

Short Answer

Expert verified
After calculating gradients and using chain rule for differentiation, we have shown that \(\nabla (\ln f) = \frac{F}{f^2}\). This demonstrates that the original statement given in the problem is correct.

Step by step solution

01

Compute gradient of the function

Begin the problem by calculating the gradient of \( f \). Here \( f(x, y, z) = \sqrt{x^2 + y^2 + z^2} \) which is the magnitude of the vector function \( F \). So, the computation of its gradient will be:\n\(\nabla f = \frac{\partial f}{\partial x} \mathbf{i} + \frac{\partial f}{\partial y} \mathbf{j} + \frac{\partial f}{\partial z} \mathbf{k}\).\nUpon calculating, we get: \(\nabla f = \frac{x}{f} \mathbf{i} + \frac{y}{f} \mathbf{j} + \frac{z}{f} \mathbf{k} = \frac{F}{f} \)
02

Compute the required expression

Next, compute the gradient of \( \ln(f) \). Using the chain rule, we have:\n\(\nabla (\ln f) = \frac{1}{f}\nabla f\). Subsitute \(\nabla f\) from step 1, we obtain: \(\nabla (\ln f) = \frac{1}{f} \cdot \frac{F}{f} = \frac{F}{f^2}\)

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