What is the nature of entropy and its relationship to equilibrium?

AI Thread Summary
Entropy is often misunderstood as merely disorder, but it encompasses more complex principles, particularly in thermodynamics and statistical mechanics. The example of mixing salt and pepper illustrates how shaking increases entropy, yet the system can revert to a more ordered state due to density differences, as seen with oil and water. The application of the second law of thermodynamics to such systems is not straightforward, especially for binary mixtures of macroscopic grains. The arrangement of particles during mixing is protocol-dependent, and dissipative systems do not conserve probability as per Liouville's theorem. A deeper understanding of these concepts is essential for accurately grasping the nature of entropy and its relationship to equilibrium.
funcosed
Messages
35
Reaction score
0

Homework Statement


My understanding of entropy seems to be a bit flawed. I think of it as disorder. As an example consider a bag with a layer of salt in the bottom and a layer of pepper on top. If the bag is shaken the salt and pepper mix (move to higher entropy) and no matter how much you shake you won't reproduce the original state.
My problem with this is if there is a density difference once you stop shaking the bag it will return to the original state or something close to it, after enough time. For instance try the same experiment with oil and water.
The problem is probably that I only have a basic understanding of these things, so what's the real story?


Homework Equations





The Attempt at a Solution

 
Physics news on Phys.org
Hi,

The problem is that you try to apply the second principle of thermodynamics for the thermodynamic entropy to a configurational entropy for a binary mixture of macroscopic grains.

There is no reason for your extension of the second principle to be true in general even though statistical mechanics of powders is something very appealing if achievable and therefore many effort are done in this direction since few decades.

The fundamental reasons why your reasoning may not work in general is that the way your powders arrange themselves when you shake them is protocol dependent and most likely even on days time scale the final result has still a memory of the original state. Moreover your system is dissipative and hence do not conserve probability (at least not in the sense of Liouville Theorem).
 
Thread 'Variable mass system : water sprayed into a moving container'
Starting with the mass considerations #m(t)# is mass of water #M_{c}# mass of container and #M(t)# mass of total system $$M(t) = M_{C} + m(t)$$ $$\Rightarrow \frac{dM(t)}{dt} = \frac{dm(t)}{dt}$$ $$P_i = Mv + u \, dm$$ $$P_f = (M + dm)(v + dv)$$ $$\Delta P = M \, dv + (v - u) \, dm$$ $$F = \frac{dP}{dt} = M \frac{dv}{dt} + (v - u) \frac{dm}{dt}$$ $$F = u \frac{dm}{dt} = \rho A u^2$$ from conservation of momentum , the cannon recoils with the same force which it applies. $$\quad \frac{dm}{dt}...
Back
Top