By Martin H Krieger

ISBN-10: 9814571830

ISBN-13: 9789814571838

Doing Mathematics discusses many ways mathematicians and mathematical physicists do their paintings and the topic concerns they discover and style. The conventions they undertake, the topic components they delimit, what they could end up and calculate concerning the actual global, and the analogies they become aware of and hire, all rely on the maths — what is going to determine and what will not. The situations studied comprise the principal restrict theorem of data, the sound of the form of a drum, the connections among algebra and topology, and the sequence of rigorous proofs of the steadiness of topic. the various and sundry options to the two-dimensional Ising version of ferromagnetism make experience as a complete once they are visible in an analogy constructed by means of Richard Dedekind within the Eighties to algebraicize Riemann's functionality conception; via Robert Langlands' application in quantity idea and illustration conception; and, by means of the analogy among one-dimensional quantum mechanics and two-dimensional classical statistical mechanics. In impact, we start to determine "an id in a manifold presentation of profiles," because the phenomenologists may say.

This moment version deepens the actual examples; it describe the sensible position of mathematical rigor; it indicates what may be a mathematician's philosophy of arithmetic; and, it exhibits how an "ugly" first facts or derivation embodies crucial positive aspects, merely to be favored after many next proofs. usual scientists and mathematicians alternate actual versions and summary gadgets, remaking them to fit their wishes, gaining knowledge of new roles for them as within the fresh case of the Painleve transcendents, the Tracy-Widom distribution, and Toeplitz determinants. and arithmetic has supplied the versions and analogies, the normal language, for describing the standard global, the constitution of towns, or God's infinitude.

Readership: Mathematicians, physicists, philosophers and historians of technological know-how.

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Extra resources for Doing Mathematics : Convention, Subject, Calculation, Analogy

Example text

But we then justify those models using mathematical characterizations of the model, and then apply those characterizations to the world. Such conventions are not arbitrary. But the arguments for their necessity are likely to be superseded if 27 CONVENTION and when new models are needed—for what was once just the way the world is, may no longer be the case (even if the now-former models are still approximately true). For most users of statistics, and presumably for most purposes, means and variances (the average, and the square of the standard deviation) are treated as the statistics of choice.

The sequence of . . free modules so obtained can be assembled into an exact [roughly, a nicely decomposing] sequence . 27 As preparation for what is to come, at the end of the chapter there is an appendix on the Ising model of ferromagnetism (a permanent magnet). I should note once more, there is some deliberate repetition among the discussions of examples, in order to make each discussion reasonably self-contained. IDEAS AND CALCULATION Some calculations and proofs appear magical at first.

15 INTRODUCTION More generally, a syzygy is an analogy of analogies. Much modern work in mathematics forms relations of relations through forming functors of functors (functors being simultaneous transformations of spaces and mappings), structurepreserving (“natural”) transformations among functors, and more generally pursues a philosophy of functoriality and syzygy. In chapter 5 I want to describe how one quite self-conscious analogy is employed in mathematics, what is nowadays called the Langlands Program in number theory and representation theory—and which in earlier forms has borne the names of Riemann (1826–1866), Dedekind (1831–1916) and Weber (1843– 1912), Hilbert (1862–1943), Artin (1898–1962), and Weil (1906–1998), among many others.

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Doing Mathematics : Convention, Subject, Calculation, Analogy by Martin H Krieger


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