What does this equation mean?

Because these three frameworks share vocabulary, it is worth being explicit about the one place where a formal expression clarifies rather than decorates the comparison: the Jarzynski equality itself. Written compactly, it states $\left\langle e^{-\beta W} \right\rangle = e^{-\beta \Delta F}$. where W is the work performed on the system along a single nonequilibrium trajectory, $\Delta$ F is the equilibrium free-energy difference between the initial and final states, and $\beta$ is inverse temperature. The average on the left is taken over repeated realizations of the same driving protocol, each of which can dissipate a different amount of work due to thermal fluctuations. The identity holds exactly regardless of how fast or far from equilibrium the driving protocol runs, which is precisely what makes it usable on single-molecule pulling experiments where the process is never quasi-static. Jensen’s inequality applied to the same average recovers the ordinary second-law statement that mean dissipated work is non-negative, $$\langle$ W $\rangle$ $\geq$ $\Delta$ F$, showing directly why the equality is a refinement of the second law rather than a challenge to it. No comparable single equation captures the entropy-production framework or large-deviation theory as cleanly for a general audience, because the former is defined at the level of an entire trajectory ensemble with system-specific rate matrices, and the latter is defined by an asymptotic scaling limit rather than a single closed-form identity; both are better conveyed through what they compute and what they require than through their governing equations.