SUMMARY
The distance between a point \( x \) and a subset of real numbers \( S \) is defined as \( d(x,S) = \inf \{ d(x,y) : y \in S \} \), where \( d \) represents the distance function. This definition indicates that the distance is the infimum of the distances from point \( x \) to each element in set \( S \). For example, the distance between point 1 and the interval (2,3) is calculated as \( |1 - 2| = 1 \). Notably, if the set \( S \) is empty, the distance is undefined, while the distance to a non-empty set is guaranteed to exist due to the greatest lower bound property.
PREREQUISITES
- Understanding of real number space and basic distance metrics
- Familiarity with the concept of infimum in mathematical analysis
- Knowledge of greatest lower bound properties
- Basic mathematical notation and functions
NEXT STEPS
- Study the properties of infimum and supremum in real analysis
- Explore distance functions in metric spaces
- Learn about the implications of empty sets in mathematical definitions
- Investigate applications of distance metrics in optimization problems
USEFUL FOR
Mathematicians, students of real analysis, and anyone interested in understanding distance metrics in mathematical contexts.