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Space-Time Simulator
This project provides a Python implementation for simulating space-time dynamics using second-order mathematical models. It incorporates vector calculus operators (curl, divergence, gradient) and supports customizable boundary conditions for numerical simulations.
Purpose
The simulator is inspired by the theoretical work in "Space Time Potential Theory: A Fundamental Second-Order Approach" and aims to model physical systems governed by second-order wave equations. The code offers tools for:
- Curl, divergence, and gradient computations.
- Handling boundary conditions.
- Supporting simulations of electromagnetic, gravitational, and fluid dynamics fields.
Features
- Curl Operations: Converts electric fields (E) to magnetic fields (H) and vice versa.
- Gradient and Divergence Calculations: Computes spatial derivatives critical for wave equations.
- Boundary Condition Handling: Allows for user-defined boundary conditions such as Dirichlet and Neumann.
- Modular Design: The code is structured for flexibility and extensibility.
Requirements
- Python 3.8 or higher
- NumPy library (
pip install numpy)
How to Use
- Clone this repository:
git clone https://github.com/JesseBrown1980/space_time_simulator.py.git
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