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New trends in physics teaching, v.4; The ... - unesdoc - Unesco

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<strong>New</strong> Trends <strong>in</strong> Physics Teach<strong>in</strong>g IV<br />

Sixth, whatever one’s approach, the generality of thermodynamics is probably better brought<br />

out by a variety of examples of its uses, of as many k<strong>in</strong>ds as possible, than by cast<strong>in</strong>g the argument<br />

<strong>in</strong> abstract, generalized terms. But different examples need<strong>in</strong>g different statistical calculations<br />

would <strong>in</strong>troduce difficult distractions, so that families of examples (such as two-state and allied<br />

systems) with the same basic calculation for all offer advantages.<br />

Seventh, the Boltzmann factor is the pivot around which applications turn, so that the sooner<br />

one can get to it the better. But here Feynman illustrates that there is a choice to be made<br />

between gett<strong>in</strong>g it <strong>in</strong> an ad hoc way, or gett<strong>in</strong>g it <strong>in</strong> a way that shows that it is a ratio of numbers<br />

of microstates <strong>in</strong> a heat bath. In the Nuffield course we chose the latter, accept<strong>in</strong>g the price <strong>in</strong><br />

terms of difficulty and length, for the reward <strong>in</strong> <strong>in</strong>sight. In either case, given the Boltzmann<br />

factor, a large number of <strong>in</strong>terest<strong>in</strong>g applications become immediately accessible.<br />

Eighth, simplicity and economy are essential but difficult features to achieve. Every simplification<br />

<strong>in</strong>troduces detailed difficulties, often rather subtle ones which may rema<strong>in</strong> hidden for a long<br />

time. <strong>The</strong> Nuffield approach raises as many as any other. <strong>The</strong> really hard th<strong>in</strong>g is to carve out an<br />

economical approach which is coherent, tak<strong>in</strong>g <strong>in</strong> what one wants to <strong>in</strong>clude, and leav<strong>in</strong>g out as<br />

much else as possible. Often this requires a rather careful analysis of just what lies beh<strong>in</strong>d a superficially<br />

simple argument.<br />

Lastly, most approaches depend critically on how they solve the problem of hav<strong>in</strong>g a statistical<br />

approach without do<strong>in</strong>g too much statistics. Feynman f<strong>in</strong>ds a way of do<strong>in</strong>g no statistics; PSSC<br />

f<strong>in</strong>ds a very simple case and builds everyth<strong>in</strong>g on that; Gurney uses more statistics but <strong>in</strong>vents a<br />

quick way of avoid<strong>in</strong>g purely technical mathematical problems, similarly used by Bent and<br />

Nuffield <strong>physics</strong>. Reif uses computer simulation, as does Nuffield <strong>physics</strong>, to <strong>in</strong>spect the<br />

behaviours of systems as opposed to analyz<strong>in</strong>g and calculat<strong>in</strong>g them.<br />

<strong>The</strong> whole paper has assumed that the decision to <strong>in</strong>troduce thermodynamic ideas <strong>in</strong> a statistical,<br />

or at least microscopic, way is right. It is clear that the decision creates considerable difficulties,<br />

but they should be seen <strong>in</strong> the light of the problems students have <strong>in</strong> understand<strong>in</strong>g an un<strong>in</strong>terpreted<br />

macroscopic approach.<br />

REFERENCES<br />

ALDER, B.J., WAINWRIGHT, T.E. 1959. Molecular Motions. Scientific American, October.<br />

ANGRIST, S.W.; HEPLER, L.G. 1967. Order and Chrzos. <strong>New</strong> York, Basic Books.<br />

BENT, H.A. 1965. <strong>The</strong> Second Law. <strong>New</strong> York, Oxford University Press.<br />

BLACK, P.J.; DAVIES, P.; OGBORN, J. 1972. A Quantum Shuffl<strong>in</strong>g Game for Teach<strong>in</strong>g Statistical Mechanics.<br />

American Journal ofPhysics,Vol. 39,p. 1154.<br />

EHRENBURG, W. 1967. Maxwell’s Demon. Scientific American, November.<br />

FEYNMAN, R.P., et al. 1963. <strong>The</strong> Feynman Lectures on Physics. Vol. 1. Read<strong>in</strong>g, Mass., Addison-Wesley.<br />

GRASSIE, A.D.C. 1968. Introduc<strong>in</strong>g the Boltzmann Distribution. In: Sources of<strong>physics</strong> Teach<strong>in</strong>g, pt. 1. London,<br />

Taylor & Francis.<br />

GURNEY, R.W. 1949. Introduction to Statistical Mechanics. <strong>New</strong> York, McGraw-Hill.<br />

HAMMERSLEY, J.M.; HANDSCOMBE, D.C. 1964. Monte Carlo Methods. London, Methuen.<br />

HANDSCOMBE, D.C. 1962. <strong>The</strong> Monte Carlo Method <strong>in</strong> Quantum Statistical Mechanics. Proceed<strong>in</strong>gs of the<br />

Cambridge PhilosophicalSociety, Vol. 60, p. 115-22.<br />

MILLEN, D.J. 1969. Energetics and Statistics <strong>in</strong> Chemical Energetics and the Curriculum. Glasgow, Coll<strong>in</strong>s.<br />

NUFFIELD ADVANCED CHEMISTRY. 1970. Teacher’s Guide ZZ. London, Longman.<br />

NUFFIELD ADVANCED PHYSICAL SCIENCE. 1972. Teacher’s Guide I. London, Longman.<br />

NUFFIELD ADVANCED PHYSICAL SCIENCE. 1974. Teacher’s Guide ZZI, (options). London, Longman.<br />

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