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    Book

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    Chapter

    Probability Theory

    In this chapter we recapitulate some of the basic ideas and conceptions of probability theory needed to unterstand the other chapters. Though there are many text books on probability theory [2.1 – 6], a select...

    Professor Dr. Hannes Risken in The Fokker-Planck Equation (1996)

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    Chapter

    Reduction of the Number of Variables

    Usually, the difficulty of solving the Fokker-Planck equation like any other partial differential equation increases with increasing number of independent variables. It is therefore advisable to eliminate as m...

    Professor Dr. Hannes Risken in The Fokker-Planck Equation (1996)

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    Chapter

    Introduction

    A Fokker-Planck equation was first used by Fokker [1.1] and Planck [1.2] to describe the Brownian motion of particles. To become familiar with this equation we first discuss the Brownian motion of particles in it...

    Professor Dr. Hannes Risken in The Fokker-Planck Equation (1996)

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    Chapter

    Linear Response and Correlation Functions

    We consider a system in a stable steady state or in equilibrium. If we disturb the system by applying some external fields or by changing some parameter the system will be driven away from its former steady st...

    Professor Dr. Hannes Risken in The Fokker-Planck Equation (1996)

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    Chapter

    Fokker-Planck Equation

    As shown in Sects. 3.1, 2 we can immediately obtain expectation values for processes described by the linear Langevin equations (3.1, 31). For nonlinear Langevin equations (3.67, 110) expectation values are mu...

    Professor Dr. Hannes Risken in The Fokker-Planck Equation (1996)

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    Chapter

    Fokker-Planck Equation for Several Variables; Methods of Solution

    In this chapter we discuss methods of solution for the Fokker-Planck equation (4.94a, 95) for time-independent drift and diffusion coefficients, i.e., for 6.1

    Professor Dr. Hannes Risken in The Fokker-Planck Equation (1996)

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    Chapter

    Brownian Motion in Periodic Potentials

    In this chapter we apply some of the methods discussed in Chap. 10 for solving the Kramers equation for the problem of Brownian motion in a periodic potential. As discussed below, this problem arises in severa...

    Professor Dr. Hannes Risken in The Fokker-Planck Equation (1996)

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    Chapter

    Langevin Equations

    We first investigate the solution of the Langevin equation for Brownian motion. In Sect. 3.2 we treat a system of linear Langevin equations, followed in Sects. 3.3, 4 by general nonlinear Langevin equations.

    Professor Dr. Hannes Risken in The Fokker-Planck Equation (1996)

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    Chapter

    Fokker-Planck Equation for One Variable; Methods of Solution

    We now want to discuss methods for solving the one-variable Fokker-Planck equation (4.44, 45) with time-independent drift and diffusion coefficients, assuming D (2)(x) > 0 5.1 ...

    Professor Dr. Hannes Risken in The Fokker-Planck Equation (1996)

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    Chapter

    Solutions of the Kramers Equation

    The Kramers equation is a special Fokker-Planck equation describing the Brownian motion in a potential. For a one-dimensional problem it is an equation for the distribution function in position and velocity sp...

    Professor Dr. Hannes Risken in The Fokker-Planck Equation (1996)

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    Chapter

    Statistical Properties of Laser Light

    The Fokker-Planck equation has become a very useful tool for treating noise in quantum optics. In this chapter we investigate noise in a laser, which is the most important device in quantum optics. This subjec...

    Professor Dr. Hannes Risken in The Fokker-Planck Equation (1996)

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    Chapter

    Solutions of Tridiagonal Recurrence Relations, Application to Ordinary and Partial Differential Equations

    As shown in the next chapter, the Fokker-Planck equation describing the Brownian motion in arbitrary potentials, i.e., the Kramers equation, can be cast into a tridiagonal vector recurrence relation by suitabl...

    Professor Dr. Hannes Risken in The Fokker-Planck Equation (1996)

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    Book

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    Chapter

    Linear Response and Correlation Functions

    We consider a system in a stable steady state or in equilibrium. If we disturb the system by applying some external fields or by changing some parameter the system will be driven away from its former steady st...

    Professor Dr. Hannes Risken in The Fokker-Planck Equation (1984)

  16. No Access

    Chapter

    Probability Theory

    In this chapter we recapitulate some of the basic ideas and conceptions of probability theory needed to unterstand the other chapters. Though there are many text books on probability theory [2.1 – 6], a select...

    Professor Dr. Hannes Risken in The Fokker-Planck Equation (1984)

  17. No Access

    Chapter

    Reduction of the Number of Variables

    Usually, the difficulty of solving the Fokker-Planck equation like any other partial differential equation increases with increasing number of independent variables. It is therefore advisable to eliminate as m...

    Professor Dr. Hannes Risken in The Fokker-Planck Equation (1984)

  18. No Access

    Chapter

    Introduction

    A Fokker-Planck equation was first used by Fokker [1.1] and Planck [1.2] to describe the Brownian motion of particles. To become familiar with this equation we first discuss the Brownian motion of particles in it...

    Professor Dr. Hannes Risken in The Fokker-Planck Equation (1984)

  19. No Access

    Chapter

    Langevin Equations

    We first investigate the solution of the Langevin equation for Brownian motion. In Sect. 3.2 we treat a system of linear Langevin equations, followed in Sects. 3.3, 4 by general nonlinear Langevin equations.

    Professor Dr. Hannes Risken in The Fokker-Planck Equation (1984)

  20. No Access

    Chapter

    Fokker-Planck Equation for One Variable; Methods of Solution

    We now want to discuss methods for solving the one-variable Fokker-Planck equation (4.44, 45) with time-independent drift and diffusion coefficients, assuming D (2)(x) > 0 (5.1) ...

    Professor Dr. Hannes Risken in The Fokker-Planck Equation (1984)

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