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Published on: December 4, 2017
Free-energy inference from partial work measurements in small systems
Marco Ribezzi-Crivellari1, Felix Ritort2
1Departament de Fisica Fonamental, Universitat de Barcelona, 08028 Barcelona, Spain; and.
Fluctuation relations (FRs) in nonequilibrium systems require accurate work measurement. This study shows that using the force from the moved trap in dual-trap experiments correctly verifies FRs and enables full work distribution inference.
Area of Science:
- Statistical Mechanics
- Non-equilibrium Thermodynamics
- Single-Molecule Biophysics
Background:
- Fluctuation relations (FRs) are fundamental theoretical results for systems not in equilibrium.
- Verifying FRs necessitates measuring the total work done on a system, which is often challenging.
- Partial work measurements are common in experiments, posing difficulties for FR verification.
Purpose of the Study:
- To investigate the applicability of fluctuation relations in dual-trap optical tweezers experiments.
- To determine the correct method for measuring work in single-molecule pulling experiments using optical tweezers.
- To explore methods for inferring full work distributions and extracting information from partial measurements.
Main Methods:
- Performed single-molecule pulling experiments using dual-trap optical tweezers.
- Measured forces exerted by both traps during the pulling process.
- Analyzed work definitions based on forces from the moved trap, the stationary trap, and differential forces.
Main Results:
- Work must be measured using the force from the actively moved trap to satisfy fluctuation relations.
- Measuring force from the stationary trap leads to an incorrect work definition and fails FR verification.
- A differential force measurement definition is proposed for symmetric setups, showing faster convergence for free-energy calculations.
Conclusions:
- Correct work measurement in dual-trap experiments is crucial for validating fluctuation relations and extracting thermodynamic information.
- Partial work measurements can be used to infer full work distributions and system properties like hydrodynamic drag via FRs.
- This work highlights a novel application of FRs for extracting information about irreversible processes in small systems.
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