The super-variational technique revisited
نویسندگان
چکیده
منابع مشابه
The Variational Gaussian Approximation Revisited
The variational approximation of posterior distributions by multivariate gaussians has been much less popular in the machine learning community compared to the corresponding approximation by factorizing distributions. This is for a good reason: the gaussian approximation is in general plagued by an Omicron(N)(2) number of variational parameters to be optimized, N being the number of random vari...
متن کاملSuper-d-branes Revisited
A version of the κ-symmetric super D-p-brane action is presented in which the tension is a dynamical variable, equal to the flux of a p-form worldvolume gauge field. The Lagrangian is shown to be invariant under all (super)isometries of the background for appropriate transformations of the worldvolume gauge fields, which determine the central charges in the symmetry algebra. We also present the...
متن کامل9804011 Super D - Branes Revisited
A version of the κ-symmetric super D-p-brane action is presented in which the tension is a dynamical variable, equal to the flux of a p-form worldvolume gauge field. The Lagrangian is shown to be invariant under all (super)isometries of the background for appropriate transformations of the worldvolume gauge fields, which determine the central charges in the symmetry algebra. We also present the...
متن کاملPlanar Super-Landau Models Revisited
We use the methods of PT -symmetric quantum theory to find a oneparameter family of ISU(1|1)-invariant planar super-Landau models with positive norm, uncovering an ‘accidental’, and generically spontaneouslybroken, N=2 worldline supersymmetry. In contrast to standard models of supersymmetric quantum mechanics, it is the norms of states rather than their energies that are parameter-dependent, an...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Mathematical Analysis and Applications
سال: 1971
ISSN: 0022-247X
DOI: 10.1016/0022-247x(71)90080-1