STATISTICAL MECHANICS OF DISORDERED SYSTEMS

Course objectives

GENERAL OBJECTIVES: The main objective of the course is to illustrate the characteristics of some of the best known disordered models and to introduce the approximations and analytical techniques that allow their study in statistical mechanics. SPECIFIC OBJECTIVES: A - Knowledge and understanding OF 1) To know the main disordered models, such as dilute ferromagnets, ferromagnets with random external field, and spin glasses OF 2) To understand the different physical behaviors that arise as a result of the introduction of quenched disorder (slowing down of the dynamics, metastability, presence of many thermodynamic states). OF 3) To know the main techniques of statistical mechanics (mean-field approximations, replica and cavity methods) that allow the analytical study of models with disorder. B - Application skills OF 4) To know how to apply an analytical technique (mean-field approximation, replica and cavity method) to a given Hamiltonian to study its physical behavior. C - Autonomy of judgment OF 5) Be able to recognize to which class of disordered systems a given Hamiltonian belongs. D - Communication skills OF 6) Ability to present the course topics orally in a non-technical language that allows understanding even by those who have not yet taken the course. E - Ability to learn OF 7) To be able to read scientific texts and articles in order to independently investigate the topics introduced during the course.

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FEDERICO RICCI TERSENGHI Lecturers' profile

Program - Frequency - Exams

Course program
The first part of the course (about one-third) involves a review of the basic elements of the calculus of probability (up to the theory of large deviations) and detailed discussion of the non-disordered Ising model (both in finite dimensions and in mean-field approximation) with the aim of reinforcing the concepts and techniques of statistical mechanics. The second part of the course (a little less than one-third) discusses diluted ferromagnetic models and models in a random external field, both from the thermodynamic point of view and from the point of view of their dynamics. The third part of the course (a little more than a third) is devoted to the study of spin-glass models, prototypes of strongly disordered systems, and the more advanced analytical techniques for their understanding (mean-field approximations, replica and cavity methods).
Prerequisites
The basic knowledge expected of a Bachelor's degree in Physics is essential. In particular, specific knowledge is required in the following areas: a. General concepts of mathematics, analysis, and complex analysis. b. Analytical Mechanics: Lagrangian and Hamiltonian description of a classical system. c. Basic elements of probability calculus: random variables, law of large numbers, and central limit theorem. d. Statistical Mechanics: statistical ensembles, partition function, and thermodynamic functionals.
Books
Texts and in-depth material will be indicated in correspondence with the topics covered in the course on the web page of the professor.
Teaching mode
The format of the course consists of lectures at the blackboard.
Frequency
Lectures attendance is not mandatory but strongly suggested.
Exam mode
The final grading will be based on an oral exam of about 1h, that consists of a discussion on the topics covered during the course. In order to pass the oral exam, the student must be able to present an argument, to do a demonstration, or repeat a calculation discussed during the course and to apply the methods that she/he learned to examples and situations similar to those already discussed. For the evaluation the following points will be considered: - accuracy of the concepts laid out; - clarity and accuracy of the exposition; - ability to analytically develop the theory.
Lesson mode
The format of the course consists of lectures at the blackboard.
FEDERICO RICCI TERSENGHI Lecturers' profile

Program - Frequency - Exams

Course program
The first part of the course (about one-third) involves a review of the basic elements of the calculus of probability (up to the theory of large deviations) and detailed discussion of the non-disordered Ising model (both in finite dimensions and in mean-field approximation) with the aim of reinforcing the concepts and techniques of statistical mechanics. The second part of the course (a little less than one-third) discusses diluted ferromagnetic models and models in a random external field, both from the thermodynamic point of view and from the point of view of their dynamics. The third part of the course (a little more than a third) is devoted to the study of spin-glass models, prototypes of strongly disordered systems, and the more advanced analytical techniques for their understanding (mean-field approximations, replica and cavity methods).
Prerequisites
The basic knowledge expected of a Bachelor's degree in Physics is essential. In particular, specific knowledge is required in the following areas: a. General concepts of mathematics, analysis, and complex analysis. b. Analytical Mechanics: Lagrangian and Hamiltonian description of a classical system. c. Basic elements of probability calculus: random variables, law of large numbers, and central limit theorem. d. Statistical Mechanics: statistical ensembles, partition function, and thermodynamic functionals.
Books
Texts and in-depth material will be indicated in correspondence with the topics covered in the course on the web page of the professor.
Teaching mode
The format of the course consists of lectures at the blackboard.
Frequency
Lectures attendance is not mandatory but strongly suggested.
Exam mode
The final grading will be based on an oral exam of about 1h, that consists of a discussion on the topics covered during the course. In order to pass the oral exam, the student must be able to present an argument, to do a demonstration, or repeat a calculation discussed during the course and to apply the methods that she/he learned to examples and situations similar to those already discussed. For the evaluation the following points will be considered: - accuracy of the concepts laid out; - clarity and accuracy of the exposition; - ability to analytically develop the theory.
Lesson mode
The format of the course consists of lectures at the blackboard.
  • Lesson code1044544
  • Academic year2025/2026
  • CoursePhysics
  • CurriculumTeorico generale
  • Year2nd year
  • Semester1st semester
  • SSDFIS/02
  • CFU6