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A continuous real-valued function on a nonempty compact metric space is bounded and attains a greatest and a least value
Statement
Let be a nonempty compact metric space (Open cover, subcover, compact metric space, and compact subset of a metric space, Metric space: iff , symmetry, and the triangle inequality; pseudometric and ultrametric) and let be continuous (Continuity of a map between metric spaces, at a point and globally, in the - form), carrying its usual metric (The absolute value makes a metric space: is a metric, its open balls are the intervals , and it is unbounded). Then the image is bounded above and below (Lower bound, bounded below, bounded set), and it has a maximum and a minimum (Maximum and minimum of a set): there are points with
and then and (Complete ordered field (least-upper-bound property), Greatest lower bound (infimum)).
Nonemptiness of is a hypothesis and not an oversight: for the image is empty and has neither a supremum nor a maximum. No choice principle is used.
Facts & Assumptions
Given: A nonempty compact metric space and a continuous .
The image of a compact metric space under a continuous map is a compact subset of the codomain (The image of a compact metric space under a continuous map is compact, and so is the image of any compact subset).
A compact subset of a metric space is closed and bounded (A compact subset of a metric space is closed and bounded, A subset of a metric space is open in the subspace metric exactly when it is the trace of an open set of the ambient space, and it is compact as a metric space in its own right exactly when every family of open subsets of the ambient space covering it, indexed or not, has finitely many members covering it, Bounded subset, diameter, distance from a point to a set, and distance between two sets in a metric space).
A nonempty subset of that is bounded above has a supremum, and one bounded below has an infimum (Complete ordered field (least-upper-bound property), Greatest lower bound (infimum), Lower bound, bounded below, bounded set).
For nonempty and bounded above with supremum : for every real there is with ; dually for the infimum (Epsilon characterisation of the supremum, Epsilon characterisation of the infimum).
lies in the closure of exactly when every ball around meets , and a closed set contains its closure (Interior, closure, boundary, limit point, isolated point and dense subset of a metric space, The closure of a nonempty is , equals together with its limit points, and is the smallest closed superset, The metric topology: a set is open when every one of its points has a ball around it inside the set; closed means open complement).
A subset of a metric space is compact exactly when the corresponding metric subspace is compact, the subspace metric being the restriction (Open cover, subcover, compact metric space, and compact subset of a metric space, Isometry, isometric embedding, and the subspace metric on a subset).
Proof
is a compact subset of , and it is nonempty because is.
So is closed in and bounded as a subset of the metric space : there are and a real with .
Hence is an upper bound and a lower bound of , so is bounded above and below, and being nonempty it has a supremum and an infimum .
For every real there is with , so and ; therefore every ball around meets and lies in the closure of .
Since is closed, ; so is a member of bounding it above, that is , and for some .
The same argument with in place of , using the infimum form of step 4.1, gives , so and for some .
For every the value lies in , hence , which is the assertion, with and .
Remarks
Compactness is what is used, not boundedness of the domain. A bounded non-compact domain is not enough: on the interval the identity map is continuous and bounded with no greatest value, and is continuous and unbounded (On the identity is bounded with no greatest value and is continuous and unbounded, so the extreme value theorem needs compactness and not merely boundedness of the domain ↗).
Why the supremum has to be shown to be attained at all. exists as soon as is nonempty and bounded above, which needs only boundedness; what compactness adds is that is closed, and a closed set contains the supremum it approaches. Steps 4.1 and 5.1 are exactly that passage, and they are where the theorem is more than the least-upper-bound property.
Depends on
- The image of a compact metric space under a continuous map is compact, and so is the image of any compact subset
- A compact subset of a metric space is closed and bounded
- A subset of a metric space is open in the subspace metric exactly when it is the trace of an open set of the ambient space, and it is compact as a metric space in its own right exactly when every family of open subsets of the ambient space covering it, indexed or not, has finitely many members covering it
- The absolute value makes $\mathbb{R}$ a metric space: $d(x,y) = |x-y|$ is a metric, its open balls are the intervals $(x-r, x+r)$, and it is unbounded
- Continuity of a map between metric spaces, at a point and globally, in the $\varepsilon$-$\delta$ form
- Open cover, subcover, compact metric space, and compact subset of a metric space
- Lower bound, bounded below, bounded set
- Greatest lower bound (infimum)
- Epsilon characterisation of the supremum
- Epsilon characterisation of the infimum
- Maximum and minimum of a set
- Complete ordered field (least-upper-bound property)
- The closure of a nonempty $A$ is $\{x : d(x,A) = 0\}$, equals $A$ together with its limit points, and is the smallest closed superset
- Interior, closure, boundary, limit point, isolated point and dense subset of a metric space
- The metric topology: a set is open when every one of its points has a ball around it inside the set; closed means open complement
- Open ball, closed ball and sphere in a metric space
- Intervals of $\mathbb{R}$: the nine order-convex forms, nondegeneracy, and length
- Bounded subset, diameter, distance from a point to a set, and distance between two sets in a metric space
- Isometry, isometric embedding, and the subspace metric on a subset
- Metric space: $d(x,y) = 0$ iff $x = y$, symmetry, and the triangle inequality; pseudometric and ultrametric
Used by
- Change of variables on bounded open Jordan sets when both integrands are bounded and Riemann integrable Corollary
- On (0,1) the identity is bounded with no greatest value and x ↦ 1/x is continuous and unbounded, so the extreme value theorem needs compactness and not merely boundedness of the domain Counterexample
- The topology of compact convergence on C(X,Y) for metric X and Y: uniform convergence on each compact subset of X Definition
- C([0,1], ℝ) is complete, and on it the uniform metric and the supremum metric induce the same topology Example
- The distance from a point to a nonempty compact set is attained at a point of that set, and two disjoint compact sets are at positive distance Example
- A definite quadratic form has a uniform signed bound on the Euclidean unit sphere Lemma
- A nonconstant complex polynomial tends to infinite modulus and attains a global minimum modulus Lemma
- For a nonempty set X and a metric space (Y,d) the uniform metric barρ(f,g) = supₓ min{d(f(x),g(x)), 1} is a metric on Y^X Lemma
- A continuous real function on a compact Jordan measurable set is Riemann integrable over that set Theorem
- C(K,ℝ) is complete in the supremum metric for every nonempty compact metric space K Theorem
- Every continuous function on a closed nondegenerate rectangle in ℝᵐ is Riemann integrable Theorem
- Every open cover of a compact metric space has a Lebesgue number: a δ > 0 such that every nonempty subset of diameter less than δ lies inside a single member of the cover Theorem
- For a metric domain and a metric target the compact-open topology on C(X,Y) is the topology of compact convergence Theorem
- For n ≥ 1 all norms on ℝⁿ are equivalent Theorem
Dependency tree · next 3 levels
Direct dependencies and their dependencies through the next three levels: 82 results over 15 levels. An arrow runs from a result to what uses it, and this result sits at the bottom with a heavier outline. Click the chart to enlarge it.
Sources
- Extreme value theorem (Wikipedia) (standard reference, not scraped)
- Compact space (Wikipedia) (standard reference, not scraped)
- W. Rudin, Principles of Mathematical Analysis, 3rd ed., Ch. 4 (standard reference, not scraped)