SRQ Seminar – Kotecky 20181207
Astract framework for nonperturbative renormalization
Kotecky, Preiss (1979) Ceck Jour of Phys. B
(cited by Vershik, Russian Math Surevys 72:2)
All is based on the notion of projective (inverse) limits.
Topological spaces
An example, for topologicaly spaces. \(X\) is a top space, \(\phi\) a morphism (a continuous map). Directed poset \(I\) (i.e. partially ordered set).
A projective system: a collection of spaces \((X_{\alpha})_{\alpha \in I}\) with morphisms whenever \(\alpha < \beta < \gamma\) which do:
and \(\Phi_{\alpha, \beta} \circ \Phi_{\beta, \gamma} = \Phi_{\alpha, \gamma}\).
A projective limit is a topological space \(X\) with projections \((\pi_{\alpha})_{\alpha \in I}\) such that
and whenever there you have another pair \((Y, (\vartheta_{\alpha})_{\alpha})\) satisfying the same property one has a unique map \(\phi : Y \rightarrow X\) such that \(\vartheta_{\beta} = \phi \circ \pi_{\beta}\).
\(X\) is made of sequences \(x = (x_{\alpha})_{\alpha}\) such that when \(\alpha \leqslant \beta\) one has \(x_{\alpha} = \phi_{\alpha, \beta} (x_{\beta})\) and is unique up to isomorphisms.
Measurable spaces
To make sense of projective limit for measurable spaces is an old story. (Frolik, Rao, in the '70)
Consider a measurable space \((X, \mathcal{F})\) with points in \(\mathcal{F}\), i.e. for all \(x \in X\) we have \(\{ x \} \in \mathcal{F}\). Introduce the set of \(\sigma\)–additive, finite, measures \(M (X)\) on \((X, \mathcal{F})\) and \(\mathcal{B} (X)\) the set of measurable bounded functions.
Morphisms \(\phi : M (X) \rightarrow M (Y)\) with the properties: (i) linear, non-negative, contractive (\(\phi (\mu) (Y) \leqslant \mu (X)\)) (ii) continuous wrt the weak topologies.
Then the projective limit exists (by the results cited above)
and \(\pi_{\alpha} (\mu) \in M (X_{\alpha})\) for \(\mu \in M (X)\).
Take a non-empty \(Y\) and let \(\vartheta_{\alpha} (\rho) = \rho (Y) \mu_{\alpha}\) so we have the commutative diagram above and there exists \(\phi : \rho \mapsto \mu\).
Gibbs measures
\(S\) spin space, \(\Omega = \Pi_{x \in \mathbb{Z}^d} S\), \(\Omega_{\Lambda} = \Pi_{x \in \Lambda} S\), consider the Gibbs measure
To get all the Gibbs mesures we consider a sequence of volumes and measures on the boundary conditions \((\Lambda_n, \mu_n \in M (\Omega_{\Lambda^c}))\) and consider
The kernels \(Q_{\Lambda_n}\) are the specification. They are compatible: \(Q_{\Lambda} = Q_{\Lambda} Q_V\) whenever \(V \subset \Lambda\), i.e.
DLR says that a Gibbs state satisfies \(\mu = \mu Q_{\Lambda}\) for any \(\Lambda\).
Take the measure \(\mu_{\Lambda}\) and construct
and then forget the part inside of \(V\). So we take the marginal on \(V^c\) getting a mesure
The set of Gibbs states is the projective limit of this system.
QFT
Consider now a finite volume approximation of \(\phi^4_d\) on a lattice with spacing \(\delta\) and size \(\delta L\).
The aim is to construct a measure in \(Y =\mathcal{S}' (\mathbb{R}^d)\). Denote \(\alpha = (\delta, L)\) and consider the spaces \(Y_{\alpha}\) for the finite dimensional approximations. We have morphisms
which allow to think all the approximation living in the same space.
The usual task is to take the limit of the sequence \(\nu_{\alpha}^{(Z_{\alpha}, m_{\alpha}, \lambda_{\alpha})}\) for any possible sequences of parameters \((Z_{\alpha}, m_{\alpha}, \lambda_{\alpha})\). I do not put restrictions on these parameters.
I say that the theory is renormalizable if the set of possible limits is a finite dimensional manifold.
We consider as spaces
and as morphisms (with \(\mu \in M (Y_{\alpha})\)) into probabilities in \(Y =\mathcal{S}' (\mathbb{R}^d)\) with
\(T_{\alpha}\) is the unique morphism extending \((Z, m, \lambda) \mapsto \nu_{\alpha}^{(Z, m, \lambda)}\) on \(Y =\mathcal{S}' (\mathbb{R}^d)\).
In the Gibbs situtation, the mappings \(T_{\alpha}\) are given by the integrals \(\int (\nu \otimes \delta) \mathrm{d} \mu\) as measures on \(\Omega\) and (i) \(\phi_{\alpha, \beta} = P_{V, \Lambda}\) and the projective limit \((X, \pi_{\Lambda})\), (ii) \(T_{\alpha} (\phi_{\alpha} (\mu))\) converges once \(\mu\) is a prob on \(X\) (by the DLR condition it actually do not depends on \(\alpha\)) and we can introduce the mapping \(T : M (X) \ni \mu \mapsto (T_{\alpha} (\phi_{\alpha} (\mu)))_{\alpha}\), (iii) the set of Gibbs states is simply \(\{ T \mu : \mu \in M (X) \}\).
Let's go back to field theory. Recall that \(Y_{\alpha} = \{ (Z, m, \lambda) \} \subseteq \mathbb{R}^3\) and \(\phi_{\alpha, \beta}\) is a mapping between \(M (Y_{\beta})\) into \(M (Y_{\alpha})\). We need to consider only sequences \((\alpha_n)_n\) where \(\alpha_{n + 1}\) is a refinement of \(\alpha_n\).
where the distance of \(\delta_y\) and \(\mu\) is minimal (as measures on \(\mathcal{S}' (\mathbb{R}^d)\)), i.e. \(T_{\alpha_n} \mu\) and \(T_{\alpha_{n + 1}} (\delta_y)\) have minimal distance.
It seems then that (i) and (ii) should be doable. And (iii) is totally unclear how to do.