Breaking Down a Relationship Break-up: Potential Landscape as a Physics-Inspired Dynamical Model of Interpersonal Communication

@misc{rahiemy2026breaking,
  title = {{Breaking Down a Relationship Break-up: Potential Landscape as a Physics-Inspired Dynamical Model of Interpersonal Communication}},
  author = {Ghitha Nadhira Azka Rahiemy},
  howpublished = {arXiv},
  year = {2026},
  month = sep,
  doi = {10.48550/arxiv.2609.16894},
  eprint = {2609.16894},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2609.16894},
}

TY  - UNPB
TI  - Breaking Down a Relationship Break-up: Potential Landscape as a Physics-Inspired Dynamical Model of Interpersonal Communication
AU  - Ghitha Nadhira Azka Rahiemy
PY  - 2026
DA  - 2026/09/15
PB  - arXiv
DO  - 10.48550/arxiv.2609.16894
UR  - https://arxiv.org/abs/2609.16894
AB  - A physics-inspired dynamical model of interpersonal communication is proposed to describe how information interpretation can influence the evolution of a relationship between two interacting systems. The model distinguishes between intended information and observed information, with the former represented as an asymptotic limit in an abstract information space. An information potential landscape with local minima and increasing potential barriers is introduced to represent stable information states and limited information accessibility. Information transmission and processing are described through a general thought-processing function, while the separation between information states determines the coupling strength between the interacting systems. The relationship dynamics is then defined from the coupling strength and the independent sentiments of the two systems. Numerical simulations demonstrate the potential landscape, information dynamics, and several relationship regimes under deterministic and fluctuating information processing. An illustrative dynamical scenario further shows that an emerging information discrepancy can lead to either relationship recovery or deterioration depending on the subsequent evolution of information separation, coupling, and individual sentiment. The model provides a simple physics-inspired framework for describing interpersonal communication as a coupled dynamical process.
ER  -