Canonical variables and analysis on so(n, 2)
نویسندگان
چکیده
منابع مشابه
0 Canonical variables and analysis on so ( n , 2 )
Abstract. The approach of Berezin to the quantization of so(n,2) via generalized coherent states is considered in detail. A family of n commuting observables is found in which the basis for an associated Fock-type representation space is expressed. An interesting feature is that computations can be done by explicit matrix calculations in a particular basis. The basic technical tool is the Leibn...
متن کاملDiscrete and Canonical Quantum Variables
Quantum mechanics, and in particular the language of quantum mechanics, is deeply entangled with the way physics is done on its many branches. Therefore, the interpretation of the formalism might have a crucial role on areas where both theoretical and experimental efforts are highly developed. Nuclear physics, with its need to take into account so many different effects – which are better under...
متن کاملGeneralized Canonical Variables
Often the random vector variable, X, being encountered, for example, in atmospheric, biological, economic and environmental and other research, is of a large dimension but admits of meaningful grouping(s) into two or more mutually exclusive and exhaustive subvectors. Dimension reduction techniques are then sought to obtain “representative” new variables for each group to be formed by taking sui...
متن کاملa critical discourse analysis on gender representation in the iranian english books 2, 3 and top notch 2a, 2b a critical discourse analysis perspective
هدف از انجام تحقیق حاضر، مطالعه و بررسی نقش زنان و مردان در دو مجموعه از کتابهای درسی انگلیسی در قالب تحلیل گفتمان انتقادی و همچنین، بررسی و آشکار ساختن اصول ایدوئولوژیکی مربوط به نقش زنان و مردان در این کتابها است. این دو مجموعه کتاب عبارتنداز: کتابهای انگلیسی سال دوم و سوم دبیرستانی ایران و کتابهای تاپ ناچ 2آ و 2ب. برای انجام این منظور، مدل تحلیل گفتمان انتقادی فرکلاف مورد استفاده قرار گرفته ...
15 صفحه اولLecture 2 : Canonical Component Analysis
Our goal is to find linear transforms for xn and yn that we can use to reduce the dimensionality of each data set to the dimension that we think the latent variable is. However, because both data sets are generated from the same latent variable, we want the transforms to be such that the transformed xs and ys are maximally covariant. Furthermore we want the transformed xs to be uncorrelated fro...
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 Physics A: Mathematical and General
سال: 2001
ISSN: 0305-4470,1361-6447
DOI: 10.1088/0305-4470/34/11/327