On a Generalized Transfer Operator

Please always quote using this URN: urn:nbn:de:0297-zib-43162
  • We introduce a generalized operator for arbitrary stochastic processes by using a pre-kernel, which is a generalization of the Markov kernel. For deterministic processes, such an operator is already known as the Frobenius-Perron operator, which is defined for a large class of measures. For Markov processes, there exists transfer operators being only well defined for stationary measures in $L^2$. Our novel generalized transfer operator is well defined for arbitrary stochastic processes, in particular also for deterministic ones. We can show that this operator is acting on $L^1$. For stationary measures, this operator is also an endomorphism of $L^2$ and, therefore, allows for a mathematical analysis in Hilbert spaces.

Download full text files

Export metadata

Author:Adam Nielsen, Konstantin Fackeldey, Marcus Weber
Document Type:ZIB-Report
Tag:Perron Frobenius Generalization; Pre Kernel; Transfer Operator
MSC-Classification:37-XX DYNAMICAL SYSTEMS AND ERGODIC THEORY [See also 26A18, 28Dxx, 34Cxx, 34Dxx, 35Bxx, 46Lxx, 58Jxx, 70-XX]
47-XX OPERATOR THEORY / 47Nxx Miscellaneous applications of operator theory [See also 46Nxx] / 47N30 Applications in probability theory and statistics
60-XX PROBABILITY THEORY AND STOCHASTIC PROCESSES (For additional applications, see 11Kxx, 62-XX, 90-XX, 91-XX, 92-XX, 93-XX, 94-XX) / 60Gxx Stochastic processes
CCS-Classification:G. Mathematics of Computing / G.3 PROBABILITY AND STATISTICS / Stochastic processes (NEW)
PACS-Classification:30.00.00 ATOMIC AND MOLECULAR PHYSICS / 31.00.00 Electronic structure of atoms and molecules: theory
Date of first Publication:2013/11/26
Series (Serial Number):ZIB-Report (13-74)
Licence (German):License LogoCreative Commons - Namensnennung