کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1148895 1489768 2014 15 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Operator-valued spectral measures and large deviations
ترجمه فارسی عنوان
اقدامات طیف سنجی اپراتور و انحرافات بزرگ
کلمات کلیدی
ماتریسهای تصادفی، اقدامات طیفی، چند جملهای ماتریس متعامد، انحرافات بزرگ،
موضوعات مرتبط
مهندسی و علوم پایه ریاضیات ریاضیات کاربردی
چکیده انگلیسی
Let H be a Hilbert space, let U be a unitary operator on H and let K be a cyclic subspace for U. The spectral measure of the pair (U,K) is an operator-valued measure μK on the unit circle T such that∫TzkdμK(z)=(PKUk)↾K,∀k≥0where PK and ↾K are the projection and restriction on K, respectively. When K is one dimensional, μ is a scalar probability measure. In this case, if U is picked at random from the unitary group U(N) under the Haar measure, then any fixed K is almost surely cyclic for U. Let μ(N) be the random spectral (scalar) measure of (U,K). The sequence (μ(N)) was studied extensively, in the regime of large N. It converges to the Haar measure λ on T and satisfies the Large Deviation Principle at scale N with a good rate function which is the reverse Kullback information with respect to λ (Gamboa and Rouault, 2010). The purpose of the present paper is to give an extension of this result for general K (of fixed finite dimension p) and eventually to offer a projective statement (all p simultaneously), at the level of operator-valued spectral measures in infinite dimensional spaces.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Statistical Planning and Inference - Volume 154, November 2014, Pages 72-86
نویسندگان
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