Renormalization Group Flow as Optimal Transport
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Renormalization Group Flow as Optimal Transport
Introduction
I have very little knowledge in physics, so there might be many errors in this post. If you see any errors, please point it out in the comment!
Renormalization theory, to put it simply, is a theory describing that every theory is the optimal theory under our capability of understanding, thus might be only effective to some extent.
Ising Model
The Lattice
A
Every point
For every two neighbors
Configuration Space
For every site
A configuration
The configuration space
Operators
An operator
The most important operator is the Hamiltonian
Symmetry
We may constrain the possible configurations by some symmetry.
We say a physical system
So we can use the symmetry to reduce the number of operators we need to consider.
For the Ising model, we mainly focus on two operators:
Magnetization Operator
Nearest-Neighbor Interaction Operator
The Hamiltonian is defined as a linear combination over a basis
For the Ising model,
where
When the external field is zero everywhere,
The Partition Function
The partition function
The configuration probability is given by the Boltzmann distribution
Continuous Generalization
From Lattice to Continuum
Let the distance between two points approach
The Hamiltonian
The partition function becomes the functional integral:
Fourier Transform Convention and Momentum Space
Convention: We use the Fourier transform convention:
where
Key Identity: The crucial relationship between
position and momentum space derivatives is:
Derivation of the duality: Starting from the Fourier
transform:
Since
This shows that differentiation in position space becomes
multiplication by
Momentum Space Integrals
Parseval’s theorem for scalar fields gives us:
For derivatives: Using the duality
More generally:
Transformation of Operators
Now we can transform our operators to momentum space:
Magnetization operator (with external source
Kinetic term:
Mass term:
The Action in Momentum Space
If we assume the interaction coupling constants are uniform, we can
write the action as:
In momentum space, this becomes:
where
Propagator
Definition
After defining the behavior of the field
In other words, if I know the value
We introduce the propagator (also Green’s function, two-point correlation function)
In the momentum space, the propagator is defined as:
The relation is given by the Fourier transform:
The Source Field Method (as Partitional Generating Function)
Calculate the propagator directly from the definition is very complicated due to the presence of interactions.
For the free field (no interactions,
If we calculate the propagator directly, we get:
To calculate this propagator, we need to evaluate the Gaussian integrals involved.
But actually, we can use the technique of generating function.
Recall that, for a random variable
Now we are dealing with a field
Similarly, we introduce a source field
For the free field,
This substitution is called the completing the square technique.
The propagator is:
This gives the familiar result that in position space, the two-point
correlation function is:
Connection to Exact RG
This momentum space formulation naturally leads to the exact
renormalization group approach, where we systematically
integrate out high-momentum modes while keeping track of how the
effective action changes. The cutoff function
Renormalization
If we directly calculate the correlation, we will encounter infinity
when
Introduction
TODO.
Polchinski Equation
Here is the detailed version of section
where
Then we consider a small scale
We want the probability functional shall not change under the
perturbation of our scale
Calculate the LHS directly
So
By the arbitrarity of
To make it match the form of the RHS, we should adjust the coupling
constants in the interaction term