SUMMARY
The shortest distance between two lines in 3D space can be calculated using vector algebra. Given lines l1 and l2 defined by their parametric equations, the distance is determined by finding direction vectors D1 and D2, and then calculating the cross product N = D1 × D2. The distance vector V between points on the two lines is projected onto N, and the shortest distance is the magnitude of this projection. This method is applicable for lines in n-dimensional space as well.
PREREQUISITES
- Understanding of vector algebra and parametric equations
- Familiarity with cross products and dot products
- Knowledge of derivatives and optimization techniques
- Ability to manipulate equations involving multiple variables
NEXT STEPS
- Study the derivation of the distance formula between skew lines in 3D space
- Learn about vector projections and their applications in geometry
- Explore optimization techniques using calculus for multivariable functions
- Investigate the extension of this method to n-dimensional spaces
USEFUL FOR
Students studying vector algebra, mathematicians, engineers, and anyone involved in 3D modeling or computational geometry.