On the U(1)-Problem of QED2

  • Ch. Gattringer
Conference paper
Part of the Lecture Notes in Physics book series (LNP, volume 469)


Mass Term Gauge Field Fermion Masse Sine Gordon Model Topological Susceptibility 
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  1. 1.
    C. G. Callan, R. F. Dashen, D. J. Gross, Phys. Lett. B63 (1976) 334; R. Jackiw, C. Rebbi, Phys. Rev. Lett. 37 (1976) 172CrossRefADSGoogle Scholar
  2. 2.
    S. Weinberg, Phys. Rev. D11 (1975) 3583CrossRefADSGoogle Scholar
  3. 3.
    E. Witten, Nucl. Phys. B160 (1979) 57; G. Veneziano, Nucl. Phys. B159 (1979) 213; J. Smit, J.C. Vink, Nucl. Phys. B284 (1987) 234; E. Seiler, I.O. Stamatescu, Preprint (unpublished) MPI-PAE/PTh 10/87 (1987)CrossRefADSMathSciNetGoogle Scholar
  4. 4.
    E. Seiler, Gauge Theories as a Problem of Constructive Quantum Field Theory and Statistical Mechanics; Springer Lecture notes in Physics 159, New York 1982Google Scholar
  5. 5.
    C. Gattringer, E. Seiler, Ann. Phys. 233 (1994) 97; C. Gattringer, QED 2 and U(1)-problem (thesis, 1995) hep-th/9503137; C. Gattringer, work in preparationCrossRefADSGoogle Scholar
  6. 6.
    J. Fröhlich, Quantum Sine-Gordon Equation Quantum Solitons in two Space-Time Dimensions, in: Renormalization Theory (Erice 1975), G. Velo, A.S. Wightman (eds.); Reidel publishing company, Dordrecht 1976Google Scholar
  7. 7.
    L.V. Belvedere, J.A. Swieca, K.D. Rothe, B Schroer, Nucl. Phys. B153 (1979) 112ADSMathSciNetCrossRefGoogle Scholar
  8. 8.
    G. 't Hooft, Phys. Rev. Lett. 37 (1976) 8; G. 't Hooft, Phys. Rev. D14 (1976) 3432CrossRefADSGoogle Scholar

Copyright information

© Springer-Verlag 1996

Authors and Affiliations

  • Ch. Gattringer
    • 1
    • 2
  1. 1.Max-Planck-Institut für PhysikMunichGermany
  2. 2.Institut für theoretische Physik der Universität GrazGrazAustria

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