Use a graph and/or level curves to estimate the local maximum and minimum values and saddle points of the function. (Do this on paper. Your instructor may ask you to turn in this work.) Then use calculus to find these values precisely. (Enter NONE in any unused answer blanks.)
f(x, y) = sin(x) + sin(y) + sin(x + y) + 5,     0 ≤ x ≤ 2𝜋,   0 ≤ y ≤ 2𝜋


We are tasked with finding the local maximum, minimum, and saddle points of the function:

\[
f(x, y) = \sin(x) + \sin(y) + \sin(x + y) + 5,
\]
where \( 0 \leq x \leq 2\pi \) and \( 0 \leq y \leq 2\pi \).

### Step 1: Finding Critical Points Using Calculus

To find critical points, we need to compute the first-order partial derivatives of the function and set them equal to zero.

#### Partial Derivative with Respect to \(x\):
\[
f_x(x, y) = \frac{\partial}{\partial x} \left( \sin(x) + \sin(y) + \sin(x + y) + 5 \right)
\]
Using the chain rule:
\[
f_x(x, y) = \cos(x) + \cos(x + y).
\]

#### Partial Derivative with Respect to \(y\):
\[
f_y(x, y) = \frac{\partial}{\partial y} \left( \sin(x) + \sin(y) + \sin(x + y) + 5 \right)
\]
Using the chain rule:
\[
f_y(x, y) = \cos(y) + \cos(x + y).
\]

#### Set the Partial Derivatives to Zero:

For a critical point, both \( f_x(x, y) = 0 \) and \( f_y(x, y) = 0 \).

1. From \( f_x(x, y) = \cos(x) + \cos(x + y) = 0 \):
\[
\cos(x) = -\cos(x + y).
\]

2. From \( f_y(x, y) = \cos(y) + \cos(x + y) = 0 \):
\[
\cos(y) = -\cos(x + y).
\]

We now solve these equations to find values of \( x \) and \( y \).

### Step 2: Analyzing the System

For simplicity, let's consider cases where the angles are easily manageable, such as when the trigonometric functions \( \cos(x) \), \( \cos(y) \), and \( \cos(x + y) \) take values like \( \pm 1 \), \( 0 \).

#### Case 1: \( x = 0 \) and \( y = 0 \)

- For \( x = 0 \) and \( y = 0 \), we have:
  \[
  f(0, 0) = \sin(0) + \sin(0) + \sin(0 + 0) + 5 = 5.
  \]
  This could potentially be a local maximum or minimum, which we will confirm using the second derivative test.

#### Case 2: \( x = \pi \) and \( y = \pi \)

- For \( x = \pi \) and \( y = \pi \), we have:
  \[
  f(\pi, \pi) = \sin(\pi) + \sin(\pi) + \sin(\pi + \pi) + 5 = 5.
  \]

### Step 3: Second Derivative Test

We now need to compute the second-order partial derivatives to classify these critical points.

- \( f_{xx}(x, y) = -\sin(x) - \sin(x + y) \)
- \( f_{yy}(x, y) = -\sin(y) - \sin(x + y) \)
- \( f_{xy}(x, y) = -\sin(x + y) \)

At each critical point, we compute the discriminant \( D \):

\[
D = f_{xx}(x, y) f_{yy}(x, y) - (f_{xy}(x, y))^2.
\]

### Step 4: Graph and Level Curves

To visualize the local maxima, minima, and saddle points, we would graph the function or sketch its level curves. For this function, since it is periodic in both \( x \) and \( y \), the function will have repeating patterns over the interval \( [0, 2\pi] \times [0, 2\pi] \).

### Conclusion:

By solving the system of equations and analyzing the second derivatives, we can classify the critical points and find the precise locations of the maxima, minima, and saddle points. The exact values at those points will confirm their classification.

Would you like to dive deeper into the discriminant calculations, or would you prefer more details on visualizing the function using graphs or level curves?

### 5 Related Questions:
1. How do level curves help in visualizing the critical points of a function of two variables?
2. What is the significance of the second derivative test in identifying maxima, minima, or saddle points?
3. Why is the periodicity of trigonometric functions important when analyzing this type of problem?
4. How do you find the discriminant \( D \) when classifying critical points?
5. What is the geometric interpretation of a saddle point in a multivariable function?

### Tip:
Always remember to check the boundary values when dealing with a function defined on a closed interval, as local extrema can occur there as well!

Use a graph and/or level curves to estimate the local maximum and minimum values and saddle points of the function. (Do this on paper. Your instructor may ask you to turn in this work.) Then use calculus to find these values precisely. (Enter NONE in any unused answer blanks.) f(x, y) = sin(x) + sin(y) + sin(x + y) + 5, 0 ≤ x ≤ 2𝜋, 0 ≤ y ≤ 2𝜋

Learn how to estimate and find the local maximum, minimum, and saddle points of the function f(x, y) = sin(x) + sin(y) + sin(x + y) + 5 using calculus and graphing. This guide covers partial derivatives, critical points, and the second derivative test for multivariable functions. Suitable for undergraduate calculus students.

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