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The study of large, complicated systems employing statistics and probability theory to extract average properties and to provide a connection between mechanics and thermodynamics.
6
votes
1
answer
263
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How do I find the kernel of the shift operator in the solution of 2D Ising model?
Okay, this is a second part of my previous question. Again, I'm following Itzykson's book. The fermionic solution for the 2D Ising model is described in terms of a matrix $T = \theta \tilde{\theta}$, …
3
votes
1
answer
55
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Experimental evolution of condensates
I was talking to a colleague professor the other day and he said something that got me curious. The way I remember it, he said basically that in experiments a Bose-Einstein condensation is usually tra …
1
vote
1
answer
46
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How does one produce a condensate?
In physics textbooks, one learns about Bose-Einstein condensate and it is all about taking thermodynamic limits. Of course, in real life, infinite systems do not exist. So, picture the following scena …
1
vote
0
answers
55
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Bose-Einstein condensate and one-particle state
I am a little confused about the definition of a Bose-Einstein condensate. It is said that, in such a condensate, a huge number of particles are in the same state of lower energy. The term state of lo …
1
vote
1
answer
93
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Formulating the variational principle in grand canonical ensemble
After a very nice discussion in my previous question, I decided to move on and try to formulate the variational principle for the grand canonical ensemble. I tried following the references cited in th …
1
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Formulating the variational principle in grand canonical ensemble
Attempted Proof: Suppose we have a family $\{f_{N}\}_{N\in \mathbb{N}}$ of functions $f_{N}: \Omega_{N} \to \mathbb{R}$. It induces a function $f: \Omega \to \mathbb{R}$ by setting
$$f(x,N) := f_{N}(x …
3
votes
1
answer
253
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Variational principle for canonical ensemble
In all textbooks I know, the derivation of the canonical probability distribution starts from the microcanonical ensemble. In my opinion, this is more of a motivation than a proper derivation, since s …
1
vote
2
answers
853
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What is the idea behind coarse-graining?
I don't think I fully understand the idea behind coarse-graining. I will elaborate. I was reading some lecture notes on statistical field theory and the text begins with some previous analyses on the …
0
votes
3
answers
251
views
Path integrals on statistical mechanics
I'm looking for references covering the following topics: path integrals in statistical mechanics and Wick rotations, second quantization, fermionic systems and Ising-like models and mean field theory …
2
votes
2
answers
2k
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Using Grassmann variables on fermionic theories
I think the best way to put my question is the following: what (fermionic) theories make use of Grassmann variables?
Let me clarify my question a little further. I remember some discussions in quantum …
1
vote
1
answer
144
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Fermionic solution of 2D Ising
I'm trying to understand the discussion in this book on the fermionization of the 2D Ising model. The transfer matrix for this model becomes $T = \theta\tilde{\theta}$ where:
$$\theta = e^{\beta \sum_ …
0
votes
1
answer
178
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Reference request for path integral representation of 2D Ising model
I'm looking for references that discuss the path integral approach for the two-dimensional Ising model, constructed from its transfer matrix. The only reference I know on the topic is this book, but t …
1
vote
0
answers
158
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Path integrals on classical statistical mechanics
I'm learning a little bit about path integrals by myself lately and notice something quick curious. So far, I've learned that path integrals have many applications in physics, including quantum mechan …
1
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1
answer
48
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From spins to fields
In statistical field theory, one usually considers the so-called Landau Hamiltonian:
$$\beta H = \int d^{d}x\bigg{[}\frac{t}{2}m^{2}(x) + \alpha m^{4}(x)+\frac{\beta}{2}(\nabla m)^{2}+\cdots+ \vec{h}\ …
0
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1
answer
169
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Statistical Mechanics models whose Hamiltonian are Euclidean Field Theory actions
In QFT, one is interested in studying functional integrals of the form:
\begin{eqnarray}
\langle \mathcal{O}_{1},...,\mathcal{O}_{n}\rangle = \int e^{\frac{i}{\hbar}S(\phi)}\mathcal{O}_{1}(\phi)\cdots …