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The image contains a mathematical problem involving partial derivatives, where the function \( z \) depends on \( x \) and \( y \), and these in turn depend on new variables \( u \) and \( v \). Let's break down the steps provided:

1. **Given Function**:
   - \( z = f(x, y) \)
   - \( x = u^2 - v^2 \)
   - \( y = 2uv \)

2. **Objective**:
   Find the second partial derivatives \( \frac{\partial^2 z}{\partial u^2} + \frac{\partial^2 z}{\partial v^2} \).

### Solution Steps:

To solve this, we need to apply the chain rule for partial differentiation. Specifically, we will compute the second-order partial derivatives with respect to \( u \) and \( v \).

#### First Partial Derivatives:

1. **\( \frac{\partial z}{\partial u} \)**:
   \[
   \frac{\partial z}{\partial u} = \frac{\partial z}{\partial x} \cdot \frac{\partial x}{\partial u} + \frac{\partial z}{\partial y} \cdot \frac{\partial y}{\partial u}
   \]
   - \( \frac{\partial x}{\partial u} = 2u \)
   - \( \frac{\partial y}{\partial u} = 2v \)

   Therefore:
   \[
   \frac{\partial z}{\partial u} = \frac{\partial z}{\partial x} \cdot 2u + \frac{\partial z}{\partial y} \cdot 2v
   \]

2. **\( \frac{\partial z}{\partial v} \)**:
   \[
   \frac{\partial z}{\partial v} = \frac{\partial z}{\partial x} \cdot \frac{\partial x}{\partial v} + \frac{\partial z}{\partial y} \cdot \frac{\partial y}{\partial v}
   \]
   - \( \frac{\partial x}{\partial v} = -2v \)
   - \( \frac{\partial y}{\partial v} = 2u \)

   Therefore:
   \[
   \frac{\partial z}{\partial v} = \frac{\partial z}{\partial x} \cdot (-2v) + \frac{\partial z}{\partial y} \cdot 2u
   \]

#### Second Partial Derivatives:

1. **\( \frac{\partial^2 z}{\partial u^2} \)**:
   \[
   \frac{\partial^2 z}{\partial u^2} = 4(u^2 + v^2) \left( \frac{\partial^2 z}{\partial x^2} \right) + 4uv \left( \frac{\partial^2 z}{\partial y^2} \right)
   \]

2. **\( \frac{\partial^2 z}{\partial v^2} \)**:
   Similar reasoning applies for the second partial derivative with respect to \( v \).

Thus, the sum of second partial derivatives is:

\[
\frac{\partial^2 z}{\partial u^2} + \frac{\partial^2 z}{\partial v^2} = 4(u^2 + v^2) \left( \frac{\partial^2 z}{\partial x^2} \right) + 4uv \left( \frac{\partial^2 z}{\partial y^2} \right)
\]

This appears to match the final result in your notes.

Would you like further details on the steps or specific parts of the solution?

Here are some related questions to expand your understanding:
1. What are the chain rule applications for first-order partial derivatives?
2. How do you calculate second-order partial derivatives using the chain rule?
3. How does the transformation from \( (x, y) \) to \( (u, v) \) affect the derivative calculations?
4. Can you apply similar techniques to other coordinate transformations, like polar coordinates?
5. What is the geometric interpretation of second partial derivatives?

**Tip**: When using the chain rule, it's important to carefully track the dependencies of each variable with respect to the others. This helps prevent errors in differentiating composite functions.

Find the second partial derivatives of z=f(x,y), where x=u^2-v^2 and y=2uv, and solve the equation.

This solution explains how to compute second-order partial derivatives using the chain rule in the context of a coordinate transformation where x = u^2 - v^2 and y = 2uv. Learn how to apply the chain rule to differentiate complex functions.

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