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Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
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Chapter2: Second-order Linear Odes
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**Calculating the Divergence of a Vector Field**

To find the divergence of the vector field \(\vec{F}(x, y, z) = \langle yx^6, xx^5, xy^2 \rangle \), follow these steps:

1. **Define the Vector Field:**

   \[\vec{F}(x, y, z) = \langle yx^6, xx^5, xy^2 \rangle\]

2. **Calculate the Partial Derivatives:**

   - The divergence operator (div) is defined as the dot product of the del operator (\(\nabla\)) with the vector field \(\vec{F}\).
   - The del operator in Cartesian coordinates is: \[\nabla = \left( \frac{\partial}{\partial x}, \frac{\partial}{\partial y}, \frac{\partial}{\partial z} \right)\]

   Apply this to each component of the vector field:

   - For the \(x\)-component (\(yx^6\)):
     \[\frac{\partial}{\partial x} (yx^6) = y \cdot 6x^5\]
   - For the \(y\)-component (\(xx^5\)):
     \[\frac{\partial}{\partial y} (xx^5) = x^5\]
   - For the \(z\)-component (\(xy^2\)):
     \[\frac{\partial}{\partial z} (xy^2) = 0\]

3. **Combine the Partial Derivatives:**

   The divergence of \(\vec{F}\) is given by the sum of these partial derivatives:

   \[ \text{div}( \vec{F} ) = 6yx^5 + x^5 + 0 \]
   \[ \text{div}( \vec{F} ) = 6yx^5 + x^5 \]

4. **Final Expression:**

   \[ \text{div}( \vec{F} ) = x^5(6y + 1) \]

Conclusion: The divergence of the vector field \(\vec{F}(x, y, z) = \langle yx^6, xx^5, xy^2 \rangle \) is \( x^5(6y + 1) \).
Transcribed Image Text:**Calculating the Divergence of a Vector Field** To find the divergence of the vector field \(\vec{F}(x, y, z) = \langle yx^6, xx^5, xy^2 \rangle \), follow these steps: 1. **Define the Vector Field:** \[\vec{F}(x, y, z) = \langle yx^6, xx^5, xy^2 \rangle\] 2. **Calculate the Partial Derivatives:** - The divergence operator (div) is defined as the dot product of the del operator (\(\nabla\)) with the vector field \(\vec{F}\). - The del operator in Cartesian coordinates is: \[\nabla = \left( \frac{\partial}{\partial x}, \frac{\partial}{\partial y}, \frac{\partial}{\partial z} \right)\] Apply this to each component of the vector field: - For the \(x\)-component (\(yx^6\)): \[\frac{\partial}{\partial x} (yx^6) = y \cdot 6x^5\] - For the \(y\)-component (\(xx^5\)): \[\frac{\partial}{\partial y} (xx^5) = x^5\] - For the \(z\)-component (\(xy^2\)): \[\frac{\partial}{\partial z} (xy^2) = 0\] 3. **Combine the Partial Derivatives:** The divergence of \(\vec{F}\) is given by the sum of these partial derivatives: \[ \text{div}( \vec{F} ) = 6yx^5 + x^5 + 0 \] \[ \text{div}( \vec{F} ) = 6yx^5 + x^5 \] 4. **Final Expression:** \[ \text{div}( \vec{F} ) = x^5(6y + 1) \] Conclusion: The divergence of the vector field \(\vec{F}(x, y, z) = \langle yx^6, xx^5, xy^2 \rangle \) is \( x^5(6y + 1) \).
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