i.e. The LIBOR rate is driven in the same way as a stock price in the Black Scholes model.
For example let $R_t$ denote the LIBOR rate at time t. the stochastic differential equation (sde) would take the following form:
$\frac{dR_t}{R_t}=\mu dt + \sigma dW_t$
Where $\mu$ is the drift parameter (mean increment of the LIBOR rate). $\sigma$ the (constant) volatility of the LIBOR increment. $dW_t$ is the increment of $W_t$, a standard Brownian motion under P.
Then you apply Girsanov's theorem for switching to the risk neutral measure Q. Under Q the sde becomes:
$\frac{dR_t}{R_t}=r dt + \sigma d \tilde{W_t}$
where $\tilde{W_t}$ is a Q-Brownian motion $r$ is the risk free rate, (i.e. a risk-free interest rate other than the libor) which is assumed to be constant, as in the Black Scholes model.
Is this approach reasonable?