Renormalization group '91 : second internationl conference, Dubna, USSR, 3-6 September 1991
著者
書誌事項
Renormalization group '91 : second internationl conference, Dubna, USSR, 3-6 September 1991
World Scientific, c1992
大学図書館所蔵 件 / 全20件
-
該当する所蔵館はありません
- すべての絞り込み条件を解除する
注記
Includes bibliographical references
"Conference 'Renormalization Group' was held at Dubna, USSR" -- Pref.
内容説明・目次
内容説明
The papers included here deal with the many faces of renormalization group formalism as it is used in different branches of theoretical physics. The subjects covered emphasize various applications to the theory of turbulence, chaos, quantum chaos in dynamical systems, spin systems and vector models. Also discussed are applications to related topics such as quantum field theory and chromodynamics, high temperature superconductivity and plasma physics.
目次
- RG in Chern-Simons field theories and high-temperature superconductivity, L.V. Avdeev and D.I. Kazakov
- the three-loop QED photon vacuum polarization function in the -scheme and the four-loop QED beta-function in the on-shell scheme, S.G. Gorishny et al
- method of effective charges and Bordsky-Lepage-MacKenzie criterion, G. Grunberg
- critical exponents for Ising-like systems in non-integer dimensions from field theory, Yu Holovatch and M. Shpot
- scaling in superconductors - three-loop RG expansions for a three-dimensional model with three coupling constants, S.A. Antonenko and A.I. Sokolov
- a renormalization group analysis of frustrated non-collinear magnets, P. Azaria and B. Delamotte
- critical properties of the N-vector model near large-scale defects, R.Z. Bariev and I.Z. Ilaldinov
- dynamics of the inhomogeneous excitations in the one-dimensional isotropic X-Y model of spin s=1/2, G.O. Berim
- the principle of maximum randomness in the theory of fully developed turbulence, L. Ts Adzhemyan and M. Yu Nalimov
- chaotic renormalization group transformations, P.H. Damagaard
- symmetry breaking bifurcations in chaotic systems, P. Grassberger and A.S. Pikovsky
- the renormalization group method based on group analysis, V.F. Kovalev et al.
「Nielsen BookData」 より