Entropy production bounds for systems running computer programs
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arXiv
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| Auteurs principaux: | , , |
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| Format: | Preprint |
| Publié: |
2024
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| _version_ | 1866908989902553088 |
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| author | Yadav, Abhishek Caravelli, Francesco Wolpert, David |
| author_facet | Yadav, Abhishek Caravelli, Francesco Wolpert, David |
| contents | Mismatch cost (MMC) is a universally applicable lower bound on the entropy production (EP) of any fixed physical process across a given time interval. In the first part of the paper, we establish results concerning MMC to prove that it scales at least linearly with the total heat flow in the worst case over initial distributions. We also prove that the MMC lower bound over a given time interval never decreases if the time interval is subdivided into a sequence of sub-intervals, and that the bound often increases. In the second part of the paper, we introduce a general framework for computing the minimal EP (i.e., the MMC) associated with running a computer program on any physical system that implements a modern digital computer. We apply this general framework to compare MMC of running two canonical sorting algorithms, bubble sort and bucket sort. The framework enables us to investigate how thermodynamic cost depends on features like input size and structure (e.g., with or without repeated entries). Finally, we extend the framework to programs that call subroutines. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2411_16088 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Entropy production bounds for systems running computer programs Yadav, Abhishek Caravelli, Francesco Wolpert, David Statistical Mechanics Mismatch cost (MMC) is a universally applicable lower bound on the entropy production (EP) of any fixed physical process across a given time interval. In the first part of the paper, we establish results concerning MMC to prove that it scales at least linearly with the total heat flow in the worst case over initial distributions. We also prove that the MMC lower bound over a given time interval never decreases if the time interval is subdivided into a sequence of sub-intervals, and that the bound often increases. In the second part of the paper, we introduce a general framework for computing the minimal EP (i.e., the MMC) associated with running a computer program on any physical system that implements a modern digital computer. We apply this general framework to compare MMC of running two canonical sorting algorithms, bubble sort and bucket sort. The framework enables us to investigate how thermodynamic cost depends on features like input size and structure (e.g., with or without repeated entries). Finally, we extend the framework to programs that call subroutines. |
| title | Entropy production bounds for systems running computer programs |
| topic | Statistical Mechanics |
| url | https://arxiv.org/abs/2411.16088 |