3D Random Walk
Explore random movement in 3D space
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About the 3D Random Walk Simulation
This interactive visualization demonstrates a random walk in three-dimensional space, a fundamental concept in mathematics, physics, and computer science.
What is a Random Walk?
A random walk is a mathematical model that describes a path consisting of a succession of random steps. In this 3D version, a particle moves through space by taking steps in one of six directions (up, down, left, right, forward, backward) based on configurable probabilities.
Key Features:
- Customizable Probabilities: Adjust the likelihood of movement in each direction to create biased or unbiased walks
- Real-time Statistics: Track steps taken, current distance from origin, and maximum distance reached
- 3D Visualization: Interactive camera controls allow you to observe the walk from any angle
- Trail Visualization: See the path taken with adjustable trail length
- Wraparound Boundaries: The particle seamlessly wraps around the world edges, creating an infinite space effect
Applications:
Random walks are used to model many real-world phenomena including:
- Stock market fluctuations and financial modeling
- Molecular motion and diffusion processes in physics
- Animal foraging patterns and ecological studies
- Network analysis and web page ranking algorithms
- Monte Carlo simulations and computational modeling