I think that in general, Feynman is perspicuous if and only if you're adequately prepared. His lectures are fun to browse around in even if you're not very well-prepared, because his expositions are so colorful. But that's maybe rather like looking at an illustrated book written in a foreign language that you don't know.ergospherical said:I found this little book titled “Statistical Mechanics; A set of lectures” by Feynman in the library. I’m not taking Stat Mech until Easter so I’d just be reading for interest at this stage, although the content looks fairly involved. Is it suitable for a first introduction?
The Feynman lectures on Stat Mech is a set of three lectures given by Nobel Prize-winning physicist Richard Feynman on the subject of statistical mechanics. These lectures were delivered at Cornell University in 1961 and were later published as a book.
The lectures cover a wide range of topics in statistical mechanics, including the laws of thermodynamics, entropy, and the behavior of gases and liquids. Feynman also discusses the statistical basis of thermodynamics and the concept of equilibrium in physical systems.
The lectures were originally intended for undergraduate and graduate students in physics, but they have since become popular among a wider audience of scientists and science enthusiasts. The lectures are known for their accessible and engaging style, making them suitable for anyone with an interest in physics.
The Feynman lectures on Stat Mech are known for their clear and intuitive explanations of complex concepts in statistical mechanics. Feynman's use of diagrams and analogies helps to make the material more understandable and memorable. Additionally, the lectures are based on Feynman's own notes and insights, making them a valuable resource for understanding his thought processes.
Yes, the concepts and principles discussed in the lectures are still relevant in modern physics and are used in many areas of research. Feynman's explanations and insights continue to be valuable for understanding statistical mechanics and its applications in various fields, such as chemistry, engineering, and materials science.