Results 91 to 100 of about 12,659 (208)
On the Deterministic and Asymptotic σ-Algebras of a Markov Operator
, 1989 Let P be a Markov operator on L∞(X, Σ, m) which does not disappear (i.e., P1A ≡ 0 => 1A ≡ 0 ) . We study the relationship between the σ-algebras(the deterministicσ-algebra), and the asymptoticσ-algebraWhen m is a σ-finite invariant measure ...
Michael Lin, Ulrich Krengel
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Resonances for graph directed Markov systems, and geometry of infinitely generated dynamical systems
, 2009 In the first part of this thesis we transfer a result of Guillopé et al. concerning the number of zeros of the Selberg zeta function for convex cocompact Schottky groups to the setting of certain types of graph directed Markov systems (GDMS ...
Hille, Martial R.
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Quantum stochastic convolution cocycles II [PDF]
, 2008 Schurmann's theory of quantum Levy processes, and more generally the theory of quantum stochastic convolution cocycles, is extended to the topological context of compact quantum groups and operator space coalgebras.
Skalski, Adam G., Lindsay, J. Martin
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Markov-chain Monte Carlo method enhanced by a quantum alternating operator ansatz
Physical Review ResearchQuantum computation is expected to accelerate certain computational tasks over classical counterparts. Its most primitive advantage is its ability to sample from classically intractable probability distributions.
Yuichiro Nakano +3 more
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Criteria of spectral gap for Markov operators
Journal of Functional Analysis, 2014 16pages
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Intrinsic and Measured Information in Separable Quantum Processes
EntropyStationary quantum information sources emit sequences of correlated qudits—that is, structured quantum stochastic processes. If an observer performs identical measurements on a qudit sequence, the outcomes are a realization of a classical stochastic ...
David Gier, James P. Crutchfield
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Temporal neural operator for modeling time-dependent physical phenomena
Scientific ReportsNeural Operators (NOs) are machine learning models designed to solve partial differential equations (PDEs) by learning to map between function spaces.
Waleed Diab, Mohammed Al Kobaisi
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GENERALIZED TRANSLATION OPERATORS AND MARKOV PROCESSES
Demonstratio Mathematica, 2001 Summary: We study the relationship between generalized translation operators and stochastic convolutions on locally compact spaces. We prove that stochastic convolution semigroups can generate Lévy type processes which are strong Markov Feller processes and, as an example, we study the Bingham convolution and its dual on integers.
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Entry, Exit, and Structural Change in Pennsylvania's Dairy Sector
Data on the number of Pennsylvania dairy farms by size category are analyzed in a Markov chain setting to determine factors affecting entry, exit, expansion, and contraction within the sector.
Stokes, Jeffrey R.
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