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Coarse-graining schemes for stochastic lattice systems with short and long-range interactions.
Numerical Analysis · Submitted 7 Mar 2010
abstract compiled · 2026-09-23 · no language-model review
The authors' main claim We derive semi-analytical numerical schemes that are accompanied with a posteriori error estimates for coarse-grained lattice systems with short and long-range interactions.
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The abstract, sentence by sentence
We develop coarse-graining schemes for stochastic many-particle microscopic models with competing short- and long-range interactions on a d-dimensional lattice. We focus on the coarse-graining of equilibrium Gibbs states and using cluster expansions we analyze the corresponding renormalization group map. We quantify the approximation properties of the coarse-grained terms arising from different types of interactions and present a hierarchy of correction terms. We derive semi-analytical numerical schemes that are accompanied with a posteriori error estimates for coarse-grained lattice systems with short and long-range interactions.
background contribution method result interpretation main claim
| # | sentence | role | the authors' own work | states the main conclusion | strength |
|---|---|---|---|---|---|
| s0 | We develop coarse-graining schemes for stochastic many-particle microscopic models with competing short- and long-range interactions on a d-dimensional lattice. | contribution 1.00 | 0.95 | 0.08 | asserted 1.00 |
| s1 | We focus on the coarse-graining of equilibrium Gibbs states and using cluster expansions we analyze the corresponding renormalization group map. | method 0.59 | 0.93 | 0.09 | asserted 0.96 |
| s2 | We quantify the approximation properties of the coarse-grained terms arising from different types of interactions and present a hierarchy of correction terms. | contribution 0.71 | 0.95 | 0.19 | asserted 1.00 |
| s3 | We derive semi-analytical numerical schemes that are accompanied with a posteriori error estimates for coarse-grained lattice systems with short and long-range interactions. | contribution 0.52 | 0.95 | 0.24 | asserted 1.00 |
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The paper
Original abstract
We develop coarse-graining schemes for stochastic many-particle microscopic models with competing short- and long-range interactions on a d-dimensional lattice. We focus on the coarse-graining of equilibrium Gibbs states and using cluster expansions we analyze the corresponding renormalization group map. We quantify the approximation properties of the coarse-grained terms arising from different types of interactions and present a hierarchy of correction terms. We derive semi-analytical numerical schemes that are accompanied with a posteriori error estimates for coarse-grained lattice systems with short and long-range interactions.
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