Example of Stochastic DE for elementary physics?

In summary, there is a tutorial available that applies stochastic differential equations to settings of elementary physics problems, such as an object sliding down a non-frictionless ramp. This tutorial provides a thorough explanation of how to solve these equations and offers examples and references for further assistance.
  • #1
Stephen Tashi
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Are there any tutorials that apply stochastic differential equations to the settings of elementary physics problems ? - for example, an object sliding down a not-frictionless ramp.

The ramps of everyday life don't have a constant coefficient of friction. A better model for them would be that the friction coefficient is a stochastic process that takes place over the distance of the ramp. An imitation of an elementary physics scenario would be to specify that process as a "given", along with the slope of the ramp and the mass of the object. The task would be to solve for the stochastic process that describes the distance the object has traveled down the ramp..
 
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1. What is a Stochastic Differential Equation (SDE)?

A Stochastic Differential Equation (SDE) is a mathematical model used to describe the evolution of a system that involves both deterministic and random components. It is commonly used in physics to model systems that are subject to random fluctuations or noise.

2. How is an SDE different from a regular Differential Equation (DE)?

An SDE differs from a regular DE in that it includes a stochastic or random term. This means that the solution to an SDE is not a single function, but rather a probability distribution over possible functions. In contrast, the solution to a regular DE is a single deterministic function.

3. What is an example of an SDE in elementary physics?

An example of an SDE in elementary physics is the Langevin equation, which describes the motion of a particle in a fluid. It includes a stochastic term to account for the random collisions between the particle and the fluid molecules.

4. How are SDEs solved in practice?

SDEs are typically solved using numerical methods, such as the Euler-Maruyama method or the Milstein method. These methods simulate the system over many time steps, taking into account the random fluctuations, to approximate the solution.

5. What are the applications of SDEs in physics?

SDEs have a wide range of applications in physics, including modeling Brownian motion, diffusion processes, and quantum systems. They are also used in statistical mechanics, population dynamics, and financial mathematics.

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