Completeness and Supremum
Every nonempty bounded-above set has a least upper bound.
Key idea
Every nonempty bounded-above set has a least upper bound.
In depth
Every non-empty set bounded above has a least upper bound (supremum). This separates the reals from the rationals, which have gaps. The supremum need not belong to the set.
Worked example
sup{x : x² < 2} = √2, which does not exist in Q. sup(0, 1) = 1 but 1 is not in the set.
Formula
Real-world uses
- Explaining why a sequence of decimal approximations of √2 converges to a real number
Common mistake
Confusing the supremum with the maximum; a maximum must be in the set.
How to learn this
- Read the key idea and say it in your own words.
- Work through the worked example, then try a similar problem.
- Use the interactive lesson’s visual and mini-quiz to check the pattern.
Frequently asked questions
What is Completeness and Supremum?
Every nonempty bounded-above set has a least upper bound. It is a topic at the expert level in Analysis & Topology.
What is the formula for Completeness and Supremum?
The key formula is sup S.
Where is Completeness and Supremum used in real life?
Real-world examples: Explaining why a sequence of decimal approximations of √2 converges to a real number.
What should I learn before Completeness and Supremum?
Make sure you are comfortable with Axioms of the Real Numbers, the previous topic in Analysis & Topology.
What is a common mistake with Completeness and Supremum?
Confusing the supremum with the maximum; a maximum must be in the set.
How can I practise Completeness and Supremum?
Open the interactive lesson, play with the visual, then answer the three-question mini-quiz. Getting two right marks the topic complete.
What comes after Completeness and Supremum?
Move on to Archimedean Property next.
Related expert topics in Analysis & Topology
- Axioms of the Real Numbers – ℝ is a complete ordered field.
- Archimedean Property – For any real x there is an integer n > x.
- Density of Rationals – Between any two reals there is a rational.
- Sequences and Convergence (ε–N) – aₙ → L if for every ε>0 eventually |aₙ − L| < ε.
- Limit Theorems for Sequences – Algebra of limits and squeeze theorem.
- Monotone Convergence Theorem – Bounded monotone sequences converge.