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Diffusive barrier crossing rates from variationally determined eigenvalues
Alexander M Berezhkovskii1, Irina V Gopich2, Attila Szabo2
1Mathematical and Statistical Computing Laboratory, Office of Intramural Research, Center for Information Technology, National Institutes of Health, Bethesda, Maryland 20892, USA.
This study links Kramers' procedure to eigenvalue methods for calculating activated process rates. It shows how the flux-over-population rate constant emerges from a variational eigenvalue in high-barrier systems.
Area of Science:
- Chemical Kinetics
- Statistical Mechanics
- Theoretical Chemistry
Background:
- Kramers' procedure calculates activated process rates using dividing surfaces and steady-state flux.
- An alternative method estimates the rate constant from the first non-zero eigenvalue of the dynamics operator.
Purpose of the Study:
- Establish the relationship between Kramers' procedure and eigenvalue-based methods for diffusive dynamics.
- Derive Kramers' flux-over-population expression from a variational eigenvalue approach.
Main Methods:
- Utilized a variational principle for the eigenvalue of interest.
- Employed a trial function with two adjustable dividing surfaces.
- Leveraged the modern theory of activated rate processes, incorporating the committor probability.
Main Results:
- Demonstrated that Kramers' flux-over-population rate constant can be obtained from the variationally determined eigenvalue for high barriers.
- Showcased that the upper bound for the eigenvalue can be expressed using mean first-passage times and mean transition-path times.
Conclusions:
- The study provides a theoretical link between two prominent methods for calculating activated process rates.
- Highlights the utility of variational principles and the committor probability in understanding rate processes.
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