SUMMARY
The shortest distance between two points in three-dimensional space is confirmed to be a straight line, as established through the Euler Lagrange equation. The distance element in three dimensions is defined as ds = (dx² + dy² + dz²)^(1/2). The functional to minimize is L[x(t), y(t), z(t)] = ∫(√(x'² + y'² + z'²) dt). The Euler equations derived for the functions x(t), y(t), and z(t) are d/dt[x' / (x' + y'² + z'²)^(1/2)], which must be solved to find the specific forms of these functions.
PREREQUISITES
- Understanding of the Euler Lagrange equation
- Familiarity with calculus of variations
- Knowledge of three-dimensional coordinate systems
- Ability to differentiate functions with respect to time
NEXT STEPS
- Study the derivation of the Euler Lagrange equation in three dimensions
- Explore applications of calculus of variations in physics and engineering
- Learn about minimizing functionals in higher dimensions
- Practice solving problems involving multiple dependent variables
USEFUL FOR
Students and professionals in mathematics, physics, and engineering who are dealing with optimization problems in three-dimensional space, particularly those interested in the calculus of variations.