Monte Carlo, blocking, and inference: How to measure the renormalization group flow
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arXiv
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| Format: | Preprint |
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2024
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| _version_ | 1866912215671504896 |
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| author | Di Carlo, Luca |
| author_facet | Di Carlo, Luca |
| contents | Renormalization group theory is a powerful and intriguing technique with a wide range of applications. One of the main successes of renormalization group theory is the description of continuous phase transitions and the development of scaling theory. Most courses on phase transitions focus on scaling and critical exponents, while less attention is paid to universality, renormalization group flow, and the existence of a unique fixed point, which are the ultimate reasons why scaling theory is so effective in describing continuous phase transitions. We use a combination of Monte Carlo simulations and real space renormalization group theory to determine the renormalization group flow and to show the existence of a universal fixed point in the context of the ferromagnetic Ising model. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2401_04811 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Monte Carlo, blocking, and inference: How to measure the renormalization group flow Di Carlo, Luca Statistical Mechanics Renormalization group theory is a powerful and intriguing technique with a wide range of applications. One of the main successes of renormalization group theory is the description of continuous phase transitions and the development of scaling theory. Most courses on phase transitions focus on scaling and critical exponents, while less attention is paid to universality, renormalization group flow, and the existence of a unique fixed point, which are the ultimate reasons why scaling theory is so effective in describing continuous phase transitions. We use a combination of Monte Carlo simulations and real space renormalization group theory to determine the renormalization group flow and to show the existence of a universal fixed point in the context of the ferromagnetic Ising model. |
| title | Monte Carlo, blocking, and inference: How to measure the renormalization group flow |
| topic | Statistical Mechanics |
| url | https://arxiv.org/abs/2401.04811 |