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124 CHAPTER 9. ELECTRONIC INSTABILITIES<br />
<strong>of</strong> physical phenomena to be understood, and their explanation must involve more than just<br />
detailed calculation.<br />
Understanding a phenomenon involves building the simplest possible model that explains<br />
it, but the models are more than just approximations to (9.1). Models, and the theories which<br />
they give rise to, elucidate paradigms and develop concepts that are obscured by the complexity<br />
<strong>of</strong> the full Hamiltonian. The surprise about condensed matter physics is that there are so many<br />
different theories that can arise from such an unprepossessing Hamiltonian as (9.1).<br />
“The Properties <strong>of</strong> Matter”<br />
A venerable route to condensed matter physics, and one followed by almost all textbooks, is to<br />
find ways <strong>of</strong> making approximate calculations based on the full Schrödinger equation for the<br />
solid. Making approximate, but quantitative calculations <strong>of</strong> the physical properties <strong>of</strong> solids<br />
has been one <strong>of</strong> the enduring agendas <strong>of</strong> condensed matter physics and the methods have<br />
acquired increasing sophistication over the years. We would like to understand the cohesion <strong>of</strong><br />
solids – why it is, for example that mercury is a liquid at room temperature, while tungsten<br />
is refractory. We wish to understand electrical and optical properties – why graphite is a s<strong>of</strong>t<br />
semi-metal but diamond a hard insulator, and why GaAs is suitable for making a semiconductor<br />
laser, but Si is not. Why is it that some materials are ferromagnetic, and indeed why is it that<br />
transition metals are <strong>of</strong>ten magnetic but simple s-p bonded metals never We would like to<br />
understand chemical trends in different classes <strong>of</strong> materials – how properties vary smoothly (or<br />
not) across the periodic table. These, and many other physical properties we now know how<br />
to calculate with considerable accuracy by sophisticated computational techniques, but more<br />
importantly (and especially for the purposes <strong>of</strong> this course) we can understand the behaviour<br />
straightforwardly, and describe the physical properties in a natural fashion.<br />
To get this understanding we have in the previous term developed the basic machinery <strong>of</strong> the<br />
quantum mechanics <strong>of</strong> periodic structures, especially the concept <strong>of</strong> electronic bandstructure<br />
describing the dispersion relation between the electron’s energy and momentum. We also need<br />
to understand how the largest effects <strong>of</strong> interactions between electrons can be subsumed into<br />
averaged effective interactions between independent quasiparticles and the background medium.<br />
This is a tidy scheme, but it gets us only part way to the goal. It generates for us a landscape<br />
upon which we can build new models and new theories.<br />
Collective phenomena and emergent properties<br />
There is another view <strong>of</strong> condensed matter physics which we shall also explore, that is less<br />
concerned with calculation and more concerned with phenomena per se. The distinguishing<br />
character <strong>of</strong> solid state systems is that they exhibit collective phenomena, that are properties<br />
<strong>of</strong> macroscopic systems and that exist only on account <strong>of</strong> the many-degree-<strong>of</strong>-freedom nature<br />
<strong>of</strong> the system.<br />
A familiar example is a phase transition (between liquid and solid, say) which is a concept<br />
that can only apply to a macroscopic ensemble. We are so used to phase transitions that we<br />
rarely wonder why when water is cooled down it does not just get ”thicker” and more viscous<br />
(and this actually happens to a glass).