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### Part (a) – Analytical Solution using Separation of Variables

We are tasked with solving the 2D Laplace PDE:

\[
u_{xx} + u_{yy} = 0
\]
for \( 0 \leq x \leq \frac{3}{5} \) and \( 0 \leq y \leq \frac{1}{2} \), subject to the Dirichlet boundary conditions:

\[
u(x, 0) = 0, \quad u\left(x, \frac{1}{2}\right) = 0, \quad u(0, y) = \sin(2\pi y), \quad u\left(\frac{3}{5}, y\right) = 0.
\]

We solve this using **separation of variables** where we assume the solution takes the form:

\[
u(x, y) = F(x) G(y)
\]

### Step 1: Plugging into the PDE
Substituting this form into the PDE \( u_{xx} + u_{yy} = 0 \), we get:

\[
F''(x) G(y) + F(x) G''(y) = 0
\]

Dividing through by \( F(x)G(y) \) (assuming \( F(x) \neq 0 \) and \( G(y) \neq 0 \)):

\[
\frac{F''(x)}{F(x)} = -\frac{G''(y)}{G(y)} = -\lambda
\]

This gives us two ordinary differential equations (ODEs):

\[
F''(x) + \lambda F(x) = 0 \quad \text{and} \quad G''(y) - \lambda G(y) = 0.
\]

### Step 2: Solve for \( G(y) \)
The equation for \( G(y) \) is:

\[
G''(y) - \lambda G(y) = 0.
\]

Given the boundary conditions \( G(0) = 0 \) and \( G\left(\frac{1}{2}\right) = 0 \), the general solution for \( G(y) \) is:

\[
G(y) = \sin(n \pi y), \quad n = 1, 2, 3, \ldots
\]

### Step 3: Solve for \( F(x) \)
Now, the equation for \( F(x) \) becomes:

\[
F''(x) + (n \pi)^2 F(x) = 0.
\]

The general solution for \( F(x) \) is:

\[
F(x) = A_n \sinh(n \pi x) + B_n \cosh(n \pi x).
\]

Using the boundary conditions \( F(0) = \sin(2\pi y) \) and \( F\left(\frac{3}{5}\right) = 0 \), we find that:

\[
F\left(\frac{3}{5}\right) = A_n \sinh\left(n \pi \frac{3}{5}\right) + B_n \cosh\left(n \pi \frac{3}{5}\right) = 0.
\]

This allows us to solve for the constants \( A_n \) and \( B_n \). We can use the hyperbolic trigonometric identity given in the problem to simplify further.

---

### Part (b) – Numerical Solution using the Implicit Method

We are asked to solve the 2D Laplace PDE numerically with step sizes \( h = \frac{1}{5} \) and \( k = \frac{1}{6} \), and then fill in the given table.

The implicit method typically uses finite difference approximations for derivatives. The grid points will correspond to:

\[
x_i = i \cdot h, \quad y_j = j \cdot k
\]
where \( i = 0, 1, 2, 3 \) and \( j = 0, 1, 2, 3 \).

You would use the finite difference method to approximate the solution at each interior point, using the boundary conditions to simplify calculations.

---

Let me know if you'd like a detailed explanation of each step or numerical values from the implicit method!

### Questions:
1. What does the hyperbolic identity simplify in the solution process for Part (a)?
2. Why do we use the separation of variables in PDEs?
3. How does the implicit method differ from explicit methods in numerical PDE solving?
4. What is the significance of using Dirichlet boundary conditions here?
5. How are hyperbolic sine and cosine functions related to Laplace's equation solutions?

**Tip:** When solving PDEs, always carefully check the boundary conditions—they provide critical information for determining constants in your solution.

Solve the 2D Laplace PDE defined for the region 0 ≤ x ≤ 3/5 and 0 ≤ y ≤ 1/2, with given Dirichlet boundary conditions and find both an analytical and numerical solution.

This page details the solution to a 2D Laplace equation defined over a rectangular region with Dirichlet boundary conditions. It covers solving the equation using separation of variables and the implicit finite difference method, with analytical and numerical solutions provided.

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