The Thermodynamic Limit of Spin Systems on Random Graphs
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arXiv
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| Format: | Preprint |
| Published: |
2023
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| _version_ | 1866909074354864128 |
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| author | Searle, Amy Tindall, Joseph |
| author_facet | Searle, Amy Tindall, Joseph |
| contents | We utilise the graphon--a continuous mathematical object which represents the limit of convergent sequences of dense graphs--to formulate a general, continuous description of quantum spin systems in thermal equilibrium when the average co-ordination number grows extensively in the system size. Specifically, we derive a closed set of coupled non-linear Fredholm integral equations which govern the properties of the system. The graphon forms the kernel of these equations and their solution yields exact expressions for the macroscopic observables in the system in the thermodynamic limit. We analyse these equations for both quantum and classical spin systems, recovering known results and providing novel analytical solutions for a range of more complex cases. We supplement this with controlled, finite-size numerical calculations using Monte-Carlo and Tensor Network methods, showing their convergence towards our analytical results with increasing system size. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2303_00731 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | The Thermodynamic Limit of Spin Systems on Random Graphs Searle, Amy Tindall, Joseph Statistical Mechanics Quantum Physics We utilise the graphon--a continuous mathematical object which represents the limit of convergent sequences of dense graphs--to formulate a general, continuous description of quantum spin systems in thermal equilibrium when the average co-ordination number grows extensively in the system size. Specifically, we derive a closed set of coupled non-linear Fredholm integral equations which govern the properties of the system. The graphon forms the kernel of these equations and their solution yields exact expressions for the macroscopic observables in the system in the thermodynamic limit. We analyse these equations for both quantum and classical spin systems, recovering known results and providing novel analytical solutions for a range of more complex cases. We supplement this with controlled, finite-size numerical calculations using Monte-Carlo and Tensor Network methods, showing their convergence towards our analytical results with increasing system size. |
| title | The Thermodynamic Limit of Spin Systems on Random Graphs |
| topic | Statistical Mechanics Quantum Physics |
| url | https://arxiv.org/abs/2303.00731 |