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In Statistical mechanics textbooks it is usually purported that first order phase transitions have a finite correlation length ξ. Why is that and/or how can we derive that?

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Final answer:

First-order phase transitions are characterized by a finite correlation length because they involve a discontinuous change in the order parameter and fluctuations are correlated within a finite range. Theories and principles from statistical mechanics, such as the persistence length in polymers and the probabilistic nature of the second law of thermodynamics, support this behavior.

Step-by-step explanation:

First-order phase transitions exhibit a finite correlation length ξ because they involve a discontinuous change in some order parameter. This is a fundamental aspect of systems undergoing a first-order transition, such as when liquid water transitions into ice. The correlation length is the scale over which fluctuations in the order parameter are correlated. At the point of the phase transition, these fluctuations become large but are still finite in size.

Different theoretical models and physical principles provide insight into why the correlation length remains finite. The persistence length concept in polymer physics is a practical example where beyond a certain length scale, the polymer behaves like a random walk rather than a rigid rod. Similarly, in the context of magnetic systems undergoing a first-order transition, the average order parameter changes discontinuously, implying that fluctuations are limited to finite scales, as described by models and experiments mentioned in statistical mechanics literature.

Moreover, the second law of thermodynamics suggests that transitions from order to disorder or vice versa are governed by probabilities rather than deterministic rules. This statistical nature of thermodynamics supports the concept of finite correlation lengths during phase transitions since the system will have a tendency to fluctuate within a finite range before settling into a new state of equilibrium.

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