SUMMARY
The supremum norm, also known as the uniform, Chebychev, or infinity norm, is confirmed to be a norm through the proof of the triangle inequality. The discussion highlights that the triangle inequality follows from the standard triangle inequality and the property of the supremum, specifically that sup{f(x) + g(x), x in S} ≤ sup{f(x), x in S} + sup{g(x), x in S}. This property establishes that the supremum of the sum of two functions is less than or equal to the sum of their suprema, thus validating the supremum norm as a norm.
PREREQUISITES
- Understanding of norm definitions in functional analysis
- Familiarity with the properties of the supremum
- Knowledge of the triangle inequality in mathematics
- Basic concepts of functions and their bounds
NEXT STEPS
- Study the formal definition of a norm in functional analysis
- Explore proofs of the triangle inequality in various contexts
- Investigate the properties of supremum and infimum in real analysis
- Learn about different types of norms and their applications in mathematics
USEFUL FOR
Mathematicians, students of functional analysis, and anyone interested in understanding the properties of norms and supremum in mathematical analysis.