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I was just learning about Fock space in quantum mechanics, and I feel like there should be some sort of analogue in statistical mechanics.
Suppose that is a measure space, and let be the convex space of probability measures on it. Then consider the convex subset of consisting of such that for all , let's call this .
Then I propose that the correct convex space for a many-particle system is , which I see as some analogue of Fock space.
Now here is the question. If is a finite set, does the operational definition of entropy for convex spaces end up giving for ?
Owen Lynch said:
Suppose that is a measure space, and let be the convex space of probability measures on it. Then consider the convex subset of consisting of such that for all , let's call this .
Then I propose that the correct convex space for a many-particle system is , which I see as some analogue of Fock space.
I think you want , right? The system has one particle or two particles or three, etc., not and.
But you are right, there should be a construction like this.
If you think of Fock space as just a vector space and forget the Hilbert structure for a minute, the Fock space on a vector space is just the free commutative monoid object on :
where the symmetric group acts on the n-fold tensor product by permuting factors.
Similarly given a convex space we should have a free commutative monoid on in the category of convex spaces, given by
By the way, this construction is quite general: whenever you have a symmetric monoidal category with countable colimits, and the tensor product distributes over those colimits, the free commutative monoid on an object is
where we are modding by the action of on , using coequalizers.
For obvious reasons people write
and
and you can show that
John Baez said:
I think you want , right? The system has one particle or two particles or three, etc., not and.
Ah, but the system could have a 1/2 probability of having one particle and a 1/2 probability of having two particles!
But I think that there is something wrong here. Really, it should be .
Ah, but the system could have a 1/2 probability of having one particle and a 1/2 probability of having two particles!
I think I'm right: you have to remember that the coproduct of convex spaces is not their disjoint union. So you get those convex linear combinations automatically. I was just using the mnemonic: "or means coproduct, and means product".
Perhaps by you mean the categorical sum!!
Of course! What other sum is there?
:upside_down:
Hahaha, good point
If you read what I wrote you'll see I meant the categorical sum:
John Baez said:
By the way, this construction is quite general: whenever you have a symmetric monoidal category with countable colimits, and the tensor product distributes over those colimits, the free commutative monoid on an object is
Ah, and in the category of Hilbert spaces, (as opposed to vector spaces) an infinite sum allows you to actually take infinite sums, because of completeness
So we need a similar condition for our convex spaces so that this infinite categorical sum allows there to be a non-zero probability for every number of particles
Otherwise you can only take finite convex combinations.
Well, unfortunately the "infinite direct sum of Hilbert spaces" is not their coproduct, unlike the case for vector spaces, where the infinite direct sum really is the coproduct.
Oh, that is unfortunate
Is there a subtlety that fixes this, or is it just something that we have to live with?
I.e., is there a categorical construction of the infinite direct sum of Hilbert spaces?
You can see that if you take bounded linear maps with larger and larger norm from Hilbert spaces to a Hilbert space , you can't put them together and get a bounded linear map from to .
Ah right! So maybe we need to think about normed-space enriched categories!
Where you can only take bounded limits!
Owen Lynch said:
Is there a subtlety that fixes this, or is it just something that we have to live with?
So far everyone has decided that analysis is cursed from the viewpoint of category theory, and category theory is cursed from the viewpoint of analysis. Someday someone will solve this problem.
I'm very interested in fixing this problem, but I need to avoid it so I stay focused on thermodynamics :upside_down:
Yes, don't try to solve it before you get your masters diploma on the wall.
:thumbs_up:
This sort of problem is why most work on categorical quantum mechanics studies only "kindergarten quantum mechanics", meaning finite-dimensional Hilbert spaces. They argue that's good enough for quantum computers... and that's probably true as long as you don't actually try to build one.
But some poor engineer out there is gonna have to think about Schrodinger's equation. :upside_down:
You tell me not to try and solve this before I have my masters diploma on the wall, and then dangle that juicy problem in front of me??
You have to have some reason to live after you've solved all the foundational problems of thermodynamics.
You make some good points
Heh. Now I have to fix our paper.
But I think you might want to think about this construction for measure spaces, and how that applies to stat mech.
I've been thinking about this a bit, and I wonder if it's connected to the derivation of Shannon entropy from empirical frequencies
I.e., if is a finite set, then two elements of are equal if and only if they have the same empirical frequency
And the preimage of any element in the map has a cardinality of a multinomial coefficient
I suspect that when we finally understand what Hong Qian is talking about here, it'll be related to this!
I'm now thinking that the statmech version of Fock space may be the space of point processes.
Specifically, a statistical-mechanical ideal gas should be a point process on the phase space of a single molecule.
The grand canonical ensemble would be a Poisson point process
Collisions with the wall of a container should be a point process on the space of {position on the wall} x {velocity at impact} x {time of impact}.
Microscopically, I think that heat transfer should be mediated by kinetic energy transfer into the wall, and pressure should be mediated by momentum transfer into the wall. These each could be modeled with jump processes, maybe.