Chinese Science Bulletin

, Volume 42, Issue 9, pp 733–737 | Cite as

Nonstatic solution of Dilaton-Maxwell compound field and Hawking radiation of its black hole

  • Xinlian Luo
  • Yongjiu Wang


Dilaton-Maxwell compound field black hole Hawking radiation 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Balbinot, R., Back reaction and the small-mass regime,Phys. Rev., Ser. D, 1986, 33: 1611.CrossRefGoogle Scholar
  2. 2.
    Daves, P. C. W., Fulling, S. A., Unruch, W. G., Energy-momentum tensor near an evaporating black hole.Phys. Rev., Ser. D, 1976, 13: 2720.CrossRefGoogle Scholar
  3. 3.
    Dai Xianxin, Zhao Zheng, Back reaction in Vaidya-Schwarzschild-de Sitter space time.Acta. Phys. Sinica., 1992. 41: 188.Google Scholar
  4. 4.
    Yu Hongwei, Wang Yongjiu. Back reaction of evaporating black hole attached to global monoples.Chin. Phys. Lett., 1994, 11: 653.CrossRefGoogle Scholar
  5. 5.
    Yu Hongwei, Metric for a radiating black hole with an internal global monopole,Phys. Lett., Ser. A, 1993, 182: 353.CrossRefGoogle Scholar
  6. 6.
    Husain, V., Radiation collapse and gravitational waves in three dimensions,Phys. Rev., Ser. D, 1994, 50: 2361.CrossRefGoogle Scholar
  7. 7.
    Damour, T., Polyakvo, A. M., String theory and gravity,G. R. G., 1994, 26: 1171.Google Scholar
  8. 8.
    Turyshev, S. G., A new solution for Dilaton-Maxwell gravity,G. R. G., 1995, 27: 981.Google Scholar
  9. 9.
    Zhao Zheng, A general way for getting Hawking radiation of nonstatically spher-symmetric and plane-symmetric space time,Science in China, Ser. A (in Chinese). 1993. 23(2): 178.Google Scholar
  10. 10.
    Sannan, S., Heuristic derivation of the probability distributions of particles emitted by a black hole.G. R. G., 1988, 20: 239.Google Scholar

Copyright information

© Science in China Press 1997

Authors and Affiliations

  • Xinlian Luo
    • 1
  • Yongjiu Wang
    • 1
  1. 1.Institute of Physics, Department of PhysicsHunan Normal UniversityChangshaChina

Personalised recommendations