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Thomas Spencer (mathematical physicist)
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Thomas Spencer (mathematical physicist) : ウィキペディア英語版
Thomas Spencer (mathematical physicist)
Thomas C. Spencer (born December 24, 1946) is an American mathematical physicist, known in particular for important contributions to constructive quantum field theory, statistical mechanics, and spectral theory of random operators.〔(IAS website )〕 He earned his doctorate in 1972 from New York University with a dissertation entitled ''Perturbation of the Po2 Quantum Field Hamiltonian'' written under the direction of James Glimm. Since 1986, he has been professor of mathematics at the Institute for Advanced Study. He is a member of the United States National Academy of Sciences,〔 and the recipient of the Dannie Heineman Prize for Mathematical Physics (joint with Jürg Fröhlich, "''For their joint work in providing rigorous mathematical solutions to some outstanding problems in statistical mechanics and field theory.''").〔(APS website )〕〔(1991 Dannie Heineman Prize for Mathematical Physics Recipient ), American Physical Society. Accessed June 24, 2011〕
==Main Results==

* Together with James Glimm and Arthur Jaffe he invented the cluster expansion approach to quantum field theory that is widely used in constructive field theory.
* Together with Jürg Fröhlich and Barry Simon, he invented the approach of the infrared bound, which has now become a classical tool to derive phase transitions in various models of statistical mechanics.
* Together with Jürg Fröhlich, he devised a 'multi-scale analysis' to provide, for the first time, mathematical proofs of: the Kosterlitz–Thouless transition, the phase transition in the one-dimensional ferromagnetic Ising model with interactions J_\sim |x-y|^ and Anderson localization in arbitrary dimension.
* Together with David Brydges, he proved that the scaling limit of the self-avoiding walk in dimension greater or equal than 5 is Gaussian, with variance growing linearly in time. To achieve this result, they invented the technique of the lace expansion that since then has had wide application in probability on graphs.

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