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To find the extreme values of \( f(x, y, z) = x + y + z \) subject to the constraints:

1. \( x^2 + z^2 = 3 \)
2. \( x + y = 2 \)

we can use the method of Lagrange multipliers. Let's set up our equations.

### Step 1: Define the Lagrange Function
We introduce two Lagrange multipliers, \( \lambda \) and \( \mu \), for the constraints:
\[
\mathcal{L}(x, y, z, \lambda, \mu) = x + y + z + \lambda (x^2 + z^2 - 3) + \mu (x + y - 2)
\]

### Step 2: Take Partial Derivatives
We differentiate \( \mathcal{L} \) with respect to \( x \), \( y \), \( z \), \( \lambda \), and \( \mu \), then set each partial derivative equal to zero.

1. \( \frac{\partial \mathcal{L}}{\partial x} = 1 + 2\lambda x + \mu = 0 \)
2. \( \frac{\partial \mathcal{L}}{\partial y} = 1 + \mu = 0 \)
3. \( \frac{\partial \mathcal{L}}{\partial z} = 1 + 2\lambda z = 0 \)
4. \( \frac{\partial \mathcal{L}}{\partial \lambda} = x^2 + z^2 - 3 = 0 \)
5. \( \frac{\partial \mathcal{L}}{\partial \mu} = x + y - 2 = 0 \)

### Step 3: Solve the System of Equations
From equation (2), we find that \( \mu = -1 \).

Substitute \( \mu = -1 \) into equation (1):
\[
1 + 2\lambda x - 1 = 0 \Rightarrow 2\lambda x = 0
\]
This implies that either \( \lambda = 0 \) or \( x = 0 \).

Similarly, using equation (3) with \( \lambda = 0 \) leads to no constraint on \( z \), but we can use the constraints to find values of \( x \), \( y \), and \( z \) to test. 

Let me know if you would like me to solve further or if you have a specific step in mind! 

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1. What are Lagrange multipliers used for in optimization problems?
2. How do you handle cases when multiple constraints are given in optimization?
3. What does it mean for an answer to be "DNE" in optimization problems?
4. How does the constraint \( x^2 + z^2 = 3 \) affect possible values for \( x \) and \( z \)?
5. What alternative methods are there for constrained optimization?

**Tip:** Always double-check constraint satisfaction after finding candidate points for extreme values.

Find the extreme values of f(x, y, z) = x + y + z subject to the constraints x^2 + z^2 = 3 and x + y = 2.

Learn how to find the extreme values of f(x, y, z) = x + y + z with constraints x^2 + z^2 = 3 and x + y = 2 using Lagrange multipliers. This problem involves solving partial derivatives and applying optimization techniques.

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