Step 1: Recall formula of dynamic viscosity. Dynamic viscosity (\(\eta\)) is defined as: \[ \eta = \frac{\text{Shear Stress}}{\text{Velocity Gradient}} \]
Step 2: Dimension of shear stress. \[ \text{Shear stress} = \frac{\text{Force}}{\text{Area}} \] Force has dimension \( MLT^{-2} \). Area has dimension \( L^2 \). So, \[ [\text{Shear stress}] = \frac{MLT^{-2}}{L^2} = M L^{-1} T^{-2} \]
Step 3: Dimension of velocity gradient. \[ \text{Velocity Gradient} = \frac{\text{Velocity}}{\text{Length}} \] Velocity has dimension \( L T^{-1} \). So, \[ [\text{Velocity Gradient}] = \frac{LT^{-1}}{L} = T^{-1} \]
Step 4: Dimension of viscosity. \[ [\eta] = \frac{M L^{-1} T^{-2}}{T^{-1}} = M L^{-1} T^{-1} \]
Final Answer: \[ \boxed{M^1 L^{-1} T^{-1}} \]
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)
Consider a medium of uniform resistivity with a pair of source and sink electrodes separated by a distance \( L \), as shown in the figure. The fraction of the input current \( (I) \) that flows horizontally \( (I_x) \) across the median plane between depths \( z_1 = \frac{L}{2} \) and \( z_2 = \frac{L\sqrt{3}}{2} \), is given by \( \frac{I_x}{I} = \frac{L}{\pi} \int_{z_1}^{z_2} \frac{dz}{(L^2/4 + z^2)} \). The value of \( \frac{I_x}{I} \) is equal to 
Suppose a mountain at location A is in isostatic equilibrium with a column at location B, which is at sea-level, as shown in the figure. The height of the mountain is 4 km and the thickness of the crust at B is 1 km. Given that the densities of crust and mantle are 2700 kg/m\(^3\) and 3300 kg/m\(^3\), respectively, the thickness of the mountain root (r1) is km. (Answer in integer)