AbstractIn a recent paper Brydges, Fröhlich, and Spencer have successfully applied Markov chains to classical spin systems. Using probabilistic methods in a more systematic way, we improve some of their results. The methods can be extended to fields with continuous parameter such as P(φ) fields
In many domains where mathematical modelling is applied, a deterministic description of the system a...
We review recent developments in the theory of quantum Markov states on the standard $\bz^{d}$--...
AbstractIt is shown that if φ(f) ∝Rd φ(y) f(y) dy is a Markoff random field and Xα are multiplicat...
AbstractIn a recent paper Brydges, Fröhlich, and Spencer have successfully applied Markov chains to ...
AbstractTo every Markov process with a symmetric transition density, there correspond two random fie...
AbstractOur primary aim is to “build” versions of generalised Gaussian processes from simple, elemen...
The study of sequences of dependent random variables arose at the beginning of the twentieth century...
AbstractLet p(t, x, y) be a symmetric transition density with respect to a σ-finite measure m on (E,...
This thesis studies irreversible Markov chains for spin models and particle systems. It analyzes the...
This thesis studies irreversible Markov chains for spin models and particle systems. It analyzes the...
AbstractTo every symmetric Markov process there correspond two random fields over the state space: a...
This thesis studies the irreversible Markov chain in the spin systems and particle systems,theoretic...
A rigorous and largely self-contained account of (a) the bread-and-butter concepts and techniques in...
This paper introduced a general class of mathematical models, Markov chain models, which are appropr...
AbstractOur primary aim is to “build” versions of generalised Gaussian processes from simple, elemen...
In many domains where mathematical modelling is applied, a deterministic description of the system a...
We review recent developments in the theory of quantum Markov states on the standard $\bz^{d}$--...
AbstractIt is shown that if φ(f) ∝Rd φ(y) f(y) dy is a Markoff random field and Xα are multiplicat...
AbstractIn a recent paper Brydges, Fröhlich, and Spencer have successfully applied Markov chains to ...
AbstractTo every Markov process with a symmetric transition density, there correspond two random fie...
AbstractOur primary aim is to “build” versions of generalised Gaussian processes from simple, elemen...
The study of sequences of dependent random variables arose at the beginning of the twentieth century...
AbstractLet p(t, x, y) be a symmetric transition density with respect to a σ-finite measure m on (E,...
This thesis studies irreversible Markov chains for spin models and particle systems. It analyzes the...
This thesis studies irreversible Markov chains for spin models and particle systems. It analyzes the...
AbstractTo every symmetric Markov process there correspond two random fields over the state space: a...
This thesis studies the irreversible Markov chain in the spin systems and particle systems,theoretic...
A rigorous and largely self-contained account of (a) the bread-and-butter concepts and techniques in...
This paper introduced a general class of mathematical models, Markov chain models, which are appropr...
AbstractOur primary aim is to “build” versions of generalised Gaussian processes from simple, elemen...
In many domains where mathematical modelling is applied, a deterministic description of the system a...
We review recent developments in the theory of quantum Markov states on the standard $\bz^{d}$--...
AbstractIt is shown that if φ(f) ∝Rd φ(y) f(y) dy is a Markoff random field and Xα are multiplicat...
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