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This lecture discusses the recent Nobel Prize awarded for the discovery of replica and cavity methods, which have revolutionized the understanding of complex systems in various fields. The lecture delves into the random energy model, explaining how to compute the free energy and the partition sum using extensive and intensive quantities. Through a detailed mathematical analysis, the instructor demonstrates the application of Markov and Chebyshev inequalities in probability theory to understand the behavior of random variables. The lecture concludes by exploring the equilibrium energy and ground state energy in the context of the replica method, providing insights into the phase transition and the critical temperature in statistical physics.
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