Step 1: Understanding the Laplace equation.
The Laplace equation \( \nabla^2 \psi = 0 \) implies that \( \psi \) is a harmonic function in the region.
Step 2: Applying uniqueness theorem.
According to the uniqueness theorem in potential theory, a solution \( \psi \) to the Laplace equation within a volume is uniquely determined if either:
The value of \( \psi \) is specified on the boundary (Dirichlet boundary condition), or
The normal derivative \( \frac{\partial \psi}{\partial n} \) is specified on the boundary (Neumann boundary condition).
Step 3: Analyzing the given options.
Option (C) provides the Dirichlet condition — that \( \psi \) is known (even constant) on the boundary \( S \), which is sufficient to determine the solution uniquely inside \( S \).
A color model is shown in the figure with color codes: Yellow (Y), Magenta (M), Cyan (Cy), Red (R), Blue (Bl), Green (G), and Black (K). Which one of the following options displays the color codes that are consistent with the color model?
While doing Bayesian inference, consider estimating the posterior distribution of the model parameter (m), given data (d). Assume that Prior and Likelihood are proportional to Gaussian functions given by \[ {Prior} \propto \exp(-0.5(m - 1)^2) \] \[ {Likelihood} \propto \exp(-0.5(m - 3)^2) \]
The mean of the posterior distribution is (Answer in integer)