Laurent Pujo-Menjouet 教授领导的研究团队将浪漫关系建模为动力系统，通过数学分析感情变化、外部压力和恢复过程的规律 1。研究揭示了每段关系都存在一个临界阈值——当感情强度跌破该阈值并长期保持低位时，数学模型预测关系将不可避免地走向分离 1。
该模型识别了影响关系稳定性的三个主要因素：相互吸引、感情随时间的自然衰减以及情感反应 1。通过及早识别这些危险区域，可以采取针对性的修正行动 1。研究人员还考虑将数学模型与人工智能相结合，以开发早期预警系统 1。
研究团队指出该模型主要基于西方关系模式开发，存在文化局限性 1。这项研究由 Taylor & Francis Group 发表于2026年9月7日 1。
Researchers have developed a mathematical framework to analyze the stability and trajectory of romantic relationships, treating them as dynamic systems subject to predictable rules.1 Led by Professor Laurent Pujo-Menjouet and colleagues, the study identifies a critical threshold below which relationships face inevitable decline toward separation if emotional intensity remains suppressed over time.1 According to the model, "If your feelings fall below this threshold and stay there, the mathematics predicts an inevitable decline toward separation."1
The research identifies three primary factors influencing relationship dynamics: mutual attraction between partners, the natural decay of emotional intensity over time, and emotional responsiveness to changes.1 The scientists propose that by recognizing these danger zones through mathematical prediction, couples could take corrective action to stabilize their bonds.1 While researchers are exploring the possibility of combining their mathematical model with artificial intelligence to create an early warning system,1 they acknowledge that the framework was developed primarily based on Western relationship patterns and carries inherent cultural limitations.1
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