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Stochastic approach to the generalized Schrödinger equation: A method of eigenfunction expansion
Satoshi Tsuchida1, Hiroshi Kuratsuji1
1Department of Physics, Ritsumeikan University-BKC, Noji, Kusatsu City, 525-8577 Shiga, Japan.
Summary
This study develops a stochastic equation for the generalized Schrödinger equation with random fluctuations. The derived Fokker-Planck equation offers insights into quantum systems with noise, crucial for understanding quantum dynamics.
Area of Science:
- Quantum Mechanics
- Stochastic Processes
- Mathematical Physics
Background:
- The generalized Schrödinger equation describes quantum systems.
- Random fluctuations introduce stochasticity, complicating analysis.
- Eigenfunction expansion is a common technique for solving differential equations.
Purpose of the Study:
- To develop a stochastic equation for the generalized Schrödinger equation with random fluctuations.
- To derive the corresponding Fokker-Planck equation for the system's dynamics.
- To analyze the derived Fokker-Planck equation using approximate schemes.
Main Methods:
- Eigenfunction expansion of the wave field.
- Derivation of the Langevin equation for expansion coefficients.
- Conversion to a Fokker-Planck equation using functional integrals and Gaussian white noise assumption.
- Analysis of the Fokker-Planck equation via approximate schemes.
Main Results:
- A stochastic equation for the generalized Schrödinger equation with random fluctuations was successfully developed.
- The Langevin equation for expansion coefficients was derived and converted to a Fokker-Planck equation.
- The crucial role of the functional Jacobian in determining the Fokker-Planck equation's form was highlighted.
Conclusions:
- The eigenfunction expansion method provides a robust framework for analyzing stochastic quantum systems.
- The derived Fokker-Planck equation is a valuable tool for studying the dynamics of quantum systems under random fluctuations.
- Approximate schemes are effective for analyzing the complex Fokker-Planck equation.
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