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Advanced Engineering Mathematics
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ISBN:9780470458365
Author:Erwin Kreyszig
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### Calculus Exercise: Partial Derivatives and Parametric Equations

In this exercise, we will explore partial derivatives with respect to parametric equations. Consider the function and parametric equations provided below:

#### Function:
\[ f(x, y) = x^2 + y^2 \]

#### Parametric Equations:
\[ x = \sin(2\theta) \]
\[ y = \cos(2\theta) \]

We are interested in finding the following derivatives:
\[ \frac{\partial f}{\partial x} = \]
\[ \frac{\partial f}{\partial y} = \]

### Steps to Solve

1. **Substitute the parametric equations into the function:**
    \[
    f(x, y) = (\sin(2\theta))^2 + (\cos(2\theta))^2
    \]

2. **Simplify the function if possible.**

3. **Calculate the partial derivatives with respect to \( x \) and \( y \):**
    \[
    \frac{\partial f}{\partial x} = \frac{\partial}{\partial x}(x^2 + y^2)
    \]
    \[
    \frac{\partial f}{\partial y} = \frac{\partial}{\partial y}(x^2 + y^2)
    \]

### Explanation:

- When calculating the partial derivative with respect to \( x \), treat \( y \) as a constant, and vice versa.
- Substitute the expressions for \( x \) and \( y \) in terms of \( \theta \).

This exercise helps to understand the application of partial derivatives with parametric functions, a valuable skill in multivariable calculus and mathematical modeling.
Transcribed Image Text:### Calculus Exercise: Partial Derivatives and Parametric Equations In this exercise, we will explore partial derivatives with respect to parametric equations. Consider the function and parametric equations provided below: #### Function: \[ f(x, y) = x^2 + y^2 \] #### Parametric Equations: \[ x = \sin(2\theta) \] \[ y = \cos(2\theta) \] We are interested in finding the following derivatives: \[ \frac{\partial f}{\partial x} = \] \[ \frac{\partial f}{\partial y} = \] ### Steps to Solve 1. **Substitute the parametric equations into the function:** \[ f(x, y) = (\sin(2\theta))^2 + (\cos(2\theta))^2 \] 2. **Simplify the function if possible.** 3. **Calculate the partial derivatives with respect to \( x \) and \( y \):** \[ \frac{\partial f}{\partial x} = \frac{\partial}{\partial x}(x^2 + y^2) \] \[ \frac{\partial f}{\partial y} = \frac{\partial}{\partial y}(x^2 + y^2) \] ### Explanation: - When calculating the partial derivative with respect to \( x \), treat \( y \) as a constant, and vice versa. - Substitute the expressions for \( x \) and \( y \) in terms of \( \theta \). This exercise helps to understand the application of partial derivatives with parametric functions, a valuable skill in multivariable calculus and mathematical modeling.
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