Research output: Contribution to journal › Article › peer-review
Binary non-Markovian theory of bulk associative–dissociative reaction A+A↔C. I : many-particle aspects of the theory. / Kipriyanov, Alexey A.; Kipriyanov, Alexander A.; Doktorov, Alexander B.
In: Journal of Mathematical Chemistry, Vol. 56, No. 8, 01.09.2018, p. 2418-2453.Research output: Contribution to journal › Article › peer-review
}
TY - JOUR
T1 - Binary non-Markovian theory of bulk associative–dissociative reaction A+A↔C. I
T2 - many-particle aspects of the theory
AU - Kipriyanov, Alexey A.
AU - Kipriyanov, Alexander A.
AU - Doktorov, Alexander B.
PY - 2018/9/1
Y1 - 2018/9/1
N2 - It is shown that reversible reaction may be considered as irreversible one on restricted time interval. However, the time range of the applicability of the law of mass action for the case of many-particle derivation of binary kinetic equations which is valid at small density parameters also has time restrictions. If the range of binary description is narrower than that of irreversible approximation of the kinetics, then this approximation is valid over the entire time range of the applicability of the law of mass action. The necessary conditions are found for which hierarchies for reduced distribution functions (RDFs) for the reaction at hand are constructed that satisfy the required hierarchy condition, and have all the properties inherent in BBGKY hierarchies of non-equilibrium statistical mechanics. This allows one to use the advanced methods of non-equilibrium statistical mechanics in many-particle derivation of kinetic equations of chemical reactions in solutions. It is shown that such initial conditions are possible at which for complete evolution no closed kinetic equation exists. Development of RDFs for reaction systems opens the way to the employment of advanced methods of non-equilibrium statistical mechanics in many-particle derivation of kinetic equations of chemical reactions in solutions.
AB - It is shown that reversible reaction may be considered as irreversible one on restricted time interval. However, the time range of the applicability of the law of mass action for the case of many-particle derivation of binary kinetic equations which is valid at small density parameters also has time restrictions. If the range of binary description is narrower than that of irreversible approximation of the kinetics, then this approximation is valid over the entire time range of the applicability of the law of mass action. The necessary conditions are found for which hierarchies for reduced distribution functions (RDFs) for the reaction at hand are constructed that satisfy the required hierarchy condition, and have all the properties inherent in BBGKY hierarchies of non-equilibrium statistical mechanics. This allows one to use the advanced methods of non-equilibrium statistical mechanics in many-particle derivation of kinetic equations of chemical reactions in solutions. It is shown that such initial conditions are possible at which for complete evolution no closed kinetic equation exists. Development of RDFs for reaction systems opens the way to the employment of advanced methods of non-equilibrium statistical mechanics in many-particle derivation of kinetic equations of chemical reactions in solutions.
KW - BBGKY
KW - Binary theory
KW - Chemical kinetics
KW - Derivation of kinetic equations
KW - Diffusion
KW - Fock space
KW - Hierarchy
KW - Liouville equation
KW - Microscopic point density
KW - Reduced distribution functions
KW - Thermodynamic limit
KW - DERIVATION
KW - QUENCHER CONCENTRATION
KW - MOLECULAR-DYNAMICS
KW - ENCOUNTER THEORY
KW - KINETIC-EQUATIONS
KW - REVERSIBLE-ARROW-C
KW - EXACTLY SOLVABLE MODELS
KW - REACTION-RATES
KW - DIFFUSION
KW - SIMPLE BIMOLECULAR REACTION
UR - http://www.scopus.com/inward/record.url?scp=85044576018&partnerID=8YFLogxK
U2 - 10.1007/s10910-018-0898-1
DO - 10.1007/s10910-018-0898-1
M3 - Article
AN - SCOPUS:85044576018
VL - 56
SP - 2418
EP - 2453
JO - Journal of Mathematical Chemistry
JF - Journal of Mathematical Chemistry
SN - 0259-9791
IS - 8
ER -
ID: 12283046