Step 1: Check if the electric field is conservative.
For a field to be conservative, its curl must be zero: \[ \nabla \times \mathbf{E} = \left( \frac{\partial}{\partial x}, \frac{\partial}{\partial y}, \frac{\partial}{\partial z} \right) \times \left( x^2 y, y^2 z, z^2 x \right) \] By calculating the curl, we find that: \[ \nabla \times \mathbf{E} = (2xy - 2xz) \hat{i} + (2yz - 2xy) \hat{j} + (2zx - 2yz) \hat{k}. \] Since the curl is non-zero, the field is not conservative.
Step 2: Check if the electric field is static.
A static electric field should not depend on time. Since the given electric field has no time dependence, it is static.
Step 3: Conclusion. Thus, the correct answer is (A) and (B).
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)