Final answer:
The error in the mean square displacement calculation for a 1-D random walk with drift is likely due to a mistake in solving the recurrence relation. Displacement in physics is known to depend on the square of the time when acceleration is present, and for a random walk with drift, it should be proportional to time, not exponential.
Step-by-step explanation:
The misunderstanding in your calculation for the mean square displacement in a 1-D random walk with drift seems to be in how the recurrence relation was solved.
Typically, for classical mechanics, when acceleration is present, the displacement of an object is expected to depend on the square of the time elapsed (t2).
This is reflected in kinematic equations like x = xo + vot + 1/2at2, where displacement can be quadratic in time due to the acceleration term.
In the case of your random walk with drift, the mean squared displacement should be proportional to the number of steps (or time), not exponential in time.
The correct expression would be the sum of the drift displacement squared plus the random walk component, resulting in E{x2n} = n2Δx2d + nL2, assuming statistical independence of steps and an initial condition at the origin.