Harvest cycle decision making as modelled by statistical physics

The Ising model, and other spin models, are conceptual paradigms often used by statistical Physicists to study magnetic systems. They are employed to demonstrate order-disorder phase transitions by vary ing key parameters. In this report, long range non-decaying anti-ferromagnetic interactions are...

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Main Author: Nyu, Clovis Qi Long
Other Authors: Chew Lock Yue
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2021
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Online Access:https://hdl.handle.net/10356/148622
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Institution: Nanyang Technological University
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spelling sg-ntu-dr.10356-1486222023-02-28T23:12:59Z Harvest cycle decision making as modelled by statistical physics Nyu, Clovis Qi Long Chew Lock Yue School of Physical and Mathematical Sciences lockyue@ntu.edu.sg Science::Physics The Ising model, and other spin models, are conceptual paradigms often used by statistical Physicists to study magnetic systems. They are employed to demonstrate order-disorder phase transitions by vary ing key parameters. In this report, long range non-decaying anti-ferromagnetic interactions are added to the standard ferromagnetic Ising model to study the decision making process of farmers deciding on their harvest cycles. Through the analytical technique of Mean Field Theory, and numerical simulations based on the Metropolis-Hastings algorithm, phase transitions have been confirmed for various combinations of parameters. Phase diagrams of the Magnetization show agreement between the theoretical work and the simulations. At a critical inverse temperature beta, there exists an order-disorder transition which has an inverse linear dependence on the strength of both the ferromagnetic and anti-ferromagnetic interactions. Additionally, there exists a single cluster-double cluster transition within the ordered phase which is charac terised by a linear relation between the ferromagnetic and anti-ferromagnetic interactions. Additionally, the simulations seem to indicate a smooth transition from the disordered state to the double cluster state. Aside from this, it was found that the anti-ferromagnetic interactions have a limited effect on the internal energy of the system, as compared to the ferromagnetic interactions. Finally, it was also found that the presence of a weak external magnetic field can bias a lattice in the single cluster state towards a specific orientation. However, a much stronger external field must be present to overcome the thermal fluctuations, when the lattice is in the disordered state, and the anti-ferromagnetic interactions, when the lattice is in the double cluster state. Bachelor of Science in Physics 2021-05-07T13:38:11Z 2021-05-07T13:38:11Z 2021 Final Year Project (FYP) Nyu, C. Q. L. (2021). Harvest cycle decision making as modelled by statistical physics. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/148622 https://hdl.handle.net/10356/148622 en application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Science::Physics
spellingShingle Science::Physics
Nyu, Clovis Qi Long
Harvest cycle decision making as modelled by statistical physics
description The Ising model, and other spin models, are conceptual paradigms often used by statistical Physicists to study magnetic systems. They are employed to demonstrate order-disorder phase transitions by vary ing key parameters. In this report, long range non-decaying anti-ferromagnetic interactions are added to the standard ferromagnetic Ising model to study the decision making process of farmers deciding on their harvest cycles. Through the analytical technique of Mean Field Theory, and numerical simulations based on the Metropolis-Hastings algorithm, phase transitions have been confirmed for various combinations of parameters. Phase diagrams of the Magnetization show agreement between the theoretical work and the simulations. At a critical inverse temperature beta, there exists an order-disorder transition which has an inverse linear dependence on the strength of both the ferromagnetic and anti-ferromagnetic interactions. Additionally, there exists a single cluster-double cluster transition within the ordered phase which is charac terised by a linear relation between the ferromagnetic and anti-ferromagnetic interactions. Additionally, the simulations seem to indicate a smooth transition from the disordered state to the double cluster state. Aside from this, it was found that the anti-ferromagnetic interactions have a limited effect on the internal energy of the system, as compared to the ferromagnetic interactions. Finally, it was also found that the presence of a weak external magnetic field can bias a lattice in the single cluster state towards a specific orientation. However, a much stronger external field must be present to overcome the thermal fluctuations, when the lattice is in the disordered state, and the anti-ferromagnetic interactions, when the lattice is in the double cluster state.
author2 Chew Lock Yue
author_facet Chew Lock Yue
Nyu, Clovis Qi Long
format Final Year Project
author Nyu, Clovis Qi Long
author_sort Nyu, Clovis Qi Long
title Harvest cycle decision making as modelled by statistical physics
title_short Harvest cycle decision making as modelled by statistical physics
title_full Harvest cycle decision making as modelled by statistical physics
title_fullStr Harvest cycle decision making as modelled by statistical physics
title_full_unstemmed Harvest cycle decision making as modelled by statistical physics
title_sort harvest cycle decision making as modelled by statistical physics
publisher Nanyang Technological University
publishDate 2021
url https://hdl.handle.net/10356/148622
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