How statement and proof provenance work
The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.
- Literature-sourced — the exact statement appears in a cited source; only wording and notation differ.
- AI-adapted — a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
- AI-generated — a genuinely novel statement formulated by AI, with no source for the claim itself.
These labels describe origin, not correctness: citations and verification chips remain separate evidence.
The Topology of Euclidean Space
1 · Prerequisites
- Binary Operations, Monoids, Groups and Subgroups
- Compactness
- Compactness in Metric Spaces
- Completeness, Completion, and Uniform Continuity
- Connectedness
- Construction of the Natural Numbers
- Construction of the Real Numbers via Cauchy Sequences
- Construction of the Real Numbers via Dedekind Cuts
- Continuity, IVT, EVT, and Uniform Continuity
- Countability and Uncountability
- Filters and Ultrafilters
- Finite Counting, Factorials and Binomial Coefficients
- Foundations of the Real Numbers for Analysis
- Limits of Real Functions
- Linear Independence, Bases and Dimension
- Linear Transformations, Rank-Nullity and Quotient Spaces
- Metric Spaces
- Monotone Sequences, Bolzano-Weierstrass, and Cauchy Completeness
- Order, Zorn's Lemma, and the Axiom of Choice
- Relations, Functions, and Quotients
- Rings, Subrings, Integral Domains and Fields
- Rⁿ as a Normed Space; Vector-Valued Functions
- Roots, Rational Powers, and Classical Inequalities
- Sequences and Limits
- Subspaces, Products, and Quotients
- Suprema and Infima
- The ZFC Axioms and the Basic Set Constructions
- Topological Spaces and Continuity
- Topology of ℝ
- Vector Spaces, Linear Subspaces, Span and Direct Sums
2 · Summary
The product topology, the Euclidean metric topology, and the topologies from finite-dimensional norms agree on . The declared compactness prerequisite supplies open-cover compactness, Heine-Borel, compact images and extrema, metric compactness equivalences, and connectedness. The normed-space prerequisite supplies Euclidean metrics, norm comparison, standard coordinates, and continuity of norms; finite counting supplies finite-product countability and finite selections used for rational boxes.
For nonempty Euclidean subsets, the development proves the ZF equivalence of compactness, closedness and boundedness, pseudocompactness, and the extreme-value property, then records the extension under and . It develops polygonal paths, open-set connectedness, components, local compactness, and rational points and boxes directly. Punctured spaces and radial normalisation then give sphere connectedness and the point-removal argument that separates the line from higher-dimensional Euclidean spaces.
3 · Logical flowchart
4 · Definitions, theorems and proofs
The product, Euclidean-metric and norm topologies on agree, and for they agree with the real-line topology
For , the product topology on is the metric topology of each of , , and (For the product topology on copies of the usual topology of is the metric topology of on , and hence also of and , so as a product and as a metric space are one space). Every norm on is equivalent to the Euclidean norm, hence induces that same topology (For all norms on are equivalent). Thus open, closed, compact, connected, and continuous below have one unambiguous Euclidean meaning.
When , the Euclidean metric is the usual metric , and the metric and real-line formulations of continuity and compactness agree (Dictionary: for with the metric , continuity and uniform continuity of agree with the metric-space notions, the Lipschitz and Hölder conditions are the metric ones instantiated, and a subset of is compact in the open-cover sense of exactly when it is a compact metric subspace). This page works throughout with .
Euclidean spheres and closed balls as subspaces of
Definition
Let with . Give its Euclidean norm and its induced Euclidean metric ( as the set of functions , and , , are metrics on it, A norm on a real vector space, the induced metric, and the dictionary with the metric axioms). For and , put
These are respectively the Euclidean closed ball and Euclidean sphere with centre and radius . They carry the subspace topology inherited from (Subspace topology: the traces of the open sets, its closed sets and its bases, the continuity of the inclusion, and the characteristic property of a map into a subspace). Since , they are precisely the closed ball and sphere and of the metric-space definition (Open ball, closed ball and sphere in a metric space).
For the unit sphere centred at the origin write
The exponent is notation for this particular sphere, not a claim that a dimension theory has been developed here.
Pseudocompact space: every continuous real-valued function has bounded image
Definition
A topological space is pseudocompact when every continuous map (Continuity of a map of topological spaces at a point and globally) has bounded image: there are reals with for every (Lower bound, bounded below, bounded set).
A subset of a topological space is pseudocompact when , equipped with its subspace topology, is pseudocompact (Subspace topology: the traces of the open sets, its closed sets and its bases, the continuity of the inclusion, and the characteristic property of a map into a subspace).
Remarks
No separation axiom is part of this definition. Some texts reserve the word for completely regular spaces; here it names exactly the bounded-image condition just stated.
A pseudocompact subset of is bounded
Statement
Let . Every pseudocompact subset is bounded for the Euclidean metric.
Facts & Assumptions
Given: A pseudocompact subset , where has the Euclidean metric .
The Euclidean norm is continuous from to (The finite and reverse triangle inequalities for a norm; and for every norm on satisfies and is Lipschitz, hence continuous, for ).
A pseudocompact space has bounded image under every continuous real-valued map (Pseudocompact space: every continuous real-valued function has bounded image).
A subset of a metric space is bounded when it is empty or lies in some open ball (Bounded subset, diameter, distance from a point to a set, and distance between two sets in a metric space); a bounded set of reals has an upper bound (Lower bound, bounded below, bounded set).
Proof
The restriction , , is continuous, because the ambient norm is continuous by [L1] and has the subspace topology.
Pseudocompactness gives that is bounded. If , choose an upper bound of ; then because every norm is nonnegative.
If it is bounded. Otherwise every satisfies , so .
Thus is bounded in both cases.
A pseudocompact subset of is closed
Statement
Let . Every pseudocompact subset is closed in the Euclidean topology.
Facts & Assumptions
Given: A pseudocompact subset , with Euclidean metric and norm .
A set is closed if and only if it equals its closure; and means every open neighbourhood of meets (A point lies in the closure of iff every basic neighbourhood of it meets ; the closure is the smallest closed superset and equals together with its derived set).
Euclidean open sets are the sets that contain a Euclidean ball about each of their points (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, as the set of functions , and , , are metrics on it).
The reverse triangle inequality gives , and the Euclidean norm is continuous (The finite and reverse triangle inequalities for a norm; and for every norm on satisfies and is Lipschitz, hence continuous, for ).
Pseudocompactness requires every continuous real-valued function on to have bounded image (Pseudocompact space: every continuous real-valued function has bounded image).
Proof
Suppose, for contradiction, that is not closed. By [L1], fix .
Define by . This is defined because , so every denominator is positive.
For every real , [L1] and [L2] give with ; then . Hence is unbounded.
The function is continuous on : at put . If , then [L3] gives , and Thus a sufficiently small Euclidean ball about maps into any prescribed real neighbourhood of .
Steps 3.1 and 2.2 contradict pseudocompactness through [L4]. Therefore is closed.
For a nonempty subset of with , compactness, closedness and boundedness, pseudocompactness, and attainment of extrema by every continuous real-valued function are equivalent
Statement
Let and let be nonempty. The following are equivalent.
- is compact.
- is closed and bounded.
- is pseudocompact.
- Every continuous attains a maximum and a minimum on .
This theorem is a ZF statement. The nonemptiness hypothesis is necessary for condition 4, because the empty image has neither a maximum nor a minimum.
Facts & Assumptions
Given: A nonempty subset with , carrying the Euclidean subspace topology.
In Euclidean space, a subset is compact if and only if it is closed and bounded (Heine-Borel in : with the Euclidean metric a subset of is compact if and only if it is closed and bounded, and the proof by bisection uses no choice principle; the same holds on the real line).
A pseudocompact Euclidean subset is bounded and is closed (A pseudocompact subset of is bounded, A pseudocompact subset of is closed).
A continuous real-valued map on a nonempty compact topological space attains a maximum and a minimum (A continuous image of a compact space is compact; a continuous real-valued map on a nonempty compact space attains a maximum and a minimum; and a continuous bijection from a compact space to a Hausdorff space is a homeomorphism, claim 2).
Pseudocompactness means that every continuous real-valued function has bounded image (Pseudocompact space: every continuous real-valued function has bounded image).
Compactness for the Euclidean metric and for its metric topology is the same condition (For a metric space with its metric topology, compactness in the topological sense is compactness in the metric sense, and the two notions of compact subset coincide).
Proof
Conditions 1 and 2 are equivalent by [L1] and [L5].
Condition 3 implies condition 2 by [L2].
Suppose condition 1 holds. Every continuous then attains a maximum and a minimum by [L3], so condition 4 holds.
Suppose condition 4 holds. For every continuous , its maximum and minimum bound , so is pseudocompact and condition 3 holds.
The implications , , and prove all four conditions equivalent.
Assuming and , compactness, sequential compactness, countable compactness, limit point compactness, completeness and total boundedness, pseudocompactness, closedness and boundedness, and the extreme-value property are equivalent for nonempty subsets of with
Statement
Assume and . If and is nonempty, then the following conditions are equivalent: compactness; closedness and boundedness; pseudocompactness; attainment of a maximum and minimum by every continuous ; countable compactness; sequential compactness; limit point compactness; and completeness together with total boundedness.
Facts & Assumptions
Given: (The Axiom of Countable Choice ()), (The axiom of dependent choice: a relation in which every element is related to something admits an -indexed chain), an integer , and a nonempty Euclidean subset .
The four Euclidean conditions compactness, closedness and boundedness, pseudocompactness, and the extreme-value property are equivalent in ZF (For a nonempty subset of with , compactness, closedness and boundedness, pseudocompactness, and attainment of extrema by every continuous real-valued function are equivalent).
Under and , a metric space is compact if and only if it is countably compact, limit point compact, sequentially compact, or complete and totally bounded (For a metric space, compact, countably compact, limit point compact, sequentially compact, and complete together with totally bounded are all equivalent, given countable choice and dependent choice).
The topological and metric readings of compactness for a Euclidean subspace agree (For a metric space with its metric topology, compactness in the topological sense is compactness in the metric sense, and the two notions of compact subset coincide); the named topological variants have the meanings of Countably compact, Lindel"of, sequentially compact, limit point compact and -compact spaces, and relatively compact subsets.
Proof
The ZF part of the chart is exactly [L1].
In the Euclidean metric, compactness is equivalent to each of countable compactness, limit point compactness, sequential compactness, and completeness together with total boundedness by [L2].
By [L3], this metric compactness is the compactness already occurring in step 1.1. Joining the two equivalence classes proves the asserted chart.
For , every Euclidean closed ball and every Euclidean sphere of positive radius is compact
Statement
For , , and , the Euclidean closed ball and Euclidean sphere are compact.
Facts & Assumptions
Given: , , and .
The sets and are respectively the points satisfying and (Euclidean spheres and closed balls as subspaces of ).
The Euclidean norm is continuous and satisfies (The finite and reverse triangle inequalities for a norm; and for every norm on satisfies and is Lipschitz, hence continuous, for ).
The Euclidean compactness theorem identifies compactness with closedness and boundedness (For a nonempty subset of with , compactness, closedness and boundedness, pseudocompactness, and attainment of extrema by every continuous real-valued function are equivalent).
Euclidean open sets are the metric-open sets, and metric boundedness means containment in a ball (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, Bounded subset, diameter, distance from a point to a set, and distance between two sets in a metric space).
Proof
Both sets are bounded: lies in the ball of radius about , and .
The complement of is open: if , then the ball about of radius stays in the complement by [L2].
The complement of is open: if , then a ball about of radius avoids the sphere by [L2].
Thus both sets are closed and bounded, hence compact by [L3].
Polygonal paths and polygonally connected subsets of
Definition
Let . A polygonal path in from to is a path (Paths, path-connected spaces and path components, Intervals of : the nine order-convex forms, nondegeneracy, and length) for which there are a finite list of vertices and a partition such that , , and
The formula uses only scalar multiplication and vector addition in (Vector space over a field). The finite list is indexed by a natural number (The cardinality of a finite set).
The subset is polygonally connected when every pair of its points is joined by a polygonal path in .
Remarks
A polygonal path is required to be a path, so its continuity is part of the definition. The next lemma verifies continuity for the displayed finite concatenations when their image lies in the stated subset.
A finite concatenation of straight segments in is a continuous path
Statement
Let and . The affine pieces joining to define a continuous map . If every piece lies in a subset , the map is a polygonal path (Polygonal paths and polygonally connected subsets of ) in from to .
Facts & Assumptions
Given: Vertices and a partition .
A finite family of closed sets covering a space pastes continuous restrictions to a continuous map (Continuity may be checked on any open cover, and on any finite closed cover; composites of continuous maps are continuous, claim 3).
A map whose values lie in a subspace is continuous into that subspace exactly when its composite with the inclusion into the ambient space is continuous (Subspace topology: the traces of the open sets, its closed sets and its bases, the continuity of the inclusion, and the characteristic property of a map into a subspace).
A map into is continuous if and only if all of its coordinate functions are continuous (A vector-valued function has a limit, or is continuous, if and only if each of its components does; with the algebra of continuous vector-valued functions, clause 1).
Proof
On define . Each coordinate is an affine real function of , hence continuous.
At every shared endpoint , the adjacent formulas both give , so the pieces define one function .
Each interval is closed in , the finitely many intervals cover it, and each restriction of is continuous by step 1.1. Thus is continuous by [L1].
If the pieces lie in , then takes values in . Its composite with the inclusion is the continuous map of step 3.1, so [L2] makes it continuous into the subspace . Its endpoints are , hence it is a path in .
The points polygonally reachable from a fixed point form a clopen subset of every open subset of
Statement
Let be open and let . The set of points of joined to by a polygonal path (Polygonal paths and polygonally connected subsets of ) in is both open and closed in the subspace .
Facts & Assumptions
Given: An open subset , a point , and the polygonally reachable set .
Every point of an open set in a metric topology has an open metric ball contained in that set (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).
A straight segment between two points of an Euclidean ball stays in that ball, by the triangle inequality for the Euclidean norm ( as the set of functions , and , , are metrics on it).
A finite concatenation of such segments is a continuous polygonal path (A finite concatenation of straight segments in is a continuous path).
Proof
Let . Choose with . For every , the segment from to lies in by [L2].
Let and choose with . If some lay in , a path from to followed by the segment from to would put in , a contradiction.
Concatenating a polygonal path from to with that segment gives a polygonal path from to in . Thus , so is open in .
Hence , so the complement is open in . Therefore is clopen in .
For an open subset of , connectedness, path-connectedness and polygonal connectedness are equivalent
Statement
Let be open. Then is connected if and only if it is path-connected, if and only if it is polygonally connected.
Facts & Assumptions
Given: An open subset .
The polygonally reachable set from a point of is clopen in (The points polygonally reachable from a fixed point form a clopen subset of every open subset of ).
A polygonal path is a path, and every path-connected space is connected (Polygonal paths and polygonally connected subsets of , Every path-connected space is connected, and every path component lies inside a component).
A connected space has no nonempty proper clopen subset (Separation of a topological space, connected and disconnected spaces, clopen sets, and connected subsets).
Proof
Suppose is connected. If , then polygonal connectedness, path-connectedness, and connectedness all hold vacuously. Otherwise choose . The reachable set is nonempty and clopen by [L1], so [L3] gives .
Polygonal connectedness implies path-connectedness, and path-connectedness implies connectedness, by [L2].
In the nonempty case, every point of is joined to by a polygonal path; reversing one such path and concatenating it with another joins any two points of . Together with the empty case, connectedness implies polygonal connectedness.
Steps 2.1 and 1.2 give all three equivalences.
Every connected component of an open subset of is open and polygonally connected
Statement
Every connected component of an open subset is open in and polygonally connected.
Facts & Assumptions
Given: An open subset and a connected component of .
A Euclidean ball is path-connected, hence connected: the norm triangle inequality keeps every straight segment in the ball, the segment is continuous, and every path-connected space is connected (Open ball, closed ball and sphere in a metric space, A norm on a real vector space, the induced metric, and the dictionary with the metric axioms, A finite concatenation of straight segments in is a continuous path, Every path-connected space is connected, and every path component lies inside a component).
A component is the largest connected subset containing each of its points (Connected components, quasicomponents, and totally disconnected spaces).
An open connected Euclidean subset is polygonally connected (For an open subset of , connectedness, path-connectedness and polygonal connectedness are equivalent).
Proof
Let . Since is open, choose with . The ball is connected by [L1], meets at , and so lies in by maximality of the component.
Therefore every point of has a Euclidean ball contained in , so is open in .
The component is connected and now open, so [L3] makes it polygonally connected.
is polygonally connected, connected, locally path-connected and locally connected
Statement
For , is polygonally connected and connected, and it is locally path-connected and locally connected.
Facts & Assumptions
Given: with and its Euclidean topology.
A segment is a continuous polygonal path in (A finite concatenation of straight segments in is a continuous path, Polygonal paths and polygonally connected subsets of ).
Euclidean balls are open and every open neighbourhood contains a Euclidean ball about its point (Open ball, closed ball and sphere in 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).
Every path-connected space is connected, and every locally path-connected space is locally connected (Every path-connected space is connected, and every path component lies inside a component, Locally connected and locally path-connected spaces: a neighbourhood base of open connected, respectively open path-connected, sets at every point).
The norm triangle inequality keeps a segment joining two points of an open ball inside that ball (A norm on a real vector space, the induced metric, and the dictionary with the metric axioms).
Proof
For , the one-segment path joins them. Hence is polygonally connected.
Let and let be open with . Choose with . Each pair of points in this ball is joined by its segment, which stays in the ball by [L4].
It is path-connected and therefore connected by [L3].
Thus every open neighbourhood contains an open path-connected ball, so is locally path-connected, and it is locally connected by [L3].
is locally compact and -compact
Statement
For , Euclidean space is locally compact and -compact.
Facts & Assumptions
Given: with , its origin , and its Euclidean norm.
Every Euclidean closed ball of positive radius is compact (For , every Euclidean closed ball and every Euclidean sphere of positive radius is compact).
A space is locally compact when every point has a compact neighbourhood, and it is -compact when it is a countable union of compact subsets (Locally compact topological space: every point has a compact neighbourhood; and what this says in a metric space, Countably compact, Lindel"of, sequentially compact, limit point compact and -compact spaces, and relatively compact subsets).
For every real there is a natural with (Every complete ordered field is Archimedean).
Proof
For , the closed ball is compact by [L1] and contains the open ball about . Thus has a compact neighbourhood.
For each put . Every is compact by [L1].
If , [L3] gives with , so . Hence .
Step 1.1 gives local compactness and step 2.1 gives -compactness.
Every finite power of an at most countable set is at most countable
Statement
If is at most countable and , then the finite product is at most countable.
Facts & Assumptions
Given: An at most countable set and a natural number .
The product of two at most countable sets is at most countable (A product of two at most countable sets is at most countable).
A finite set is at most countable, and induction holds on (Finite, countably infinite, countable, uncountable, The principle of mathematical induction).
Proof
For , is a one-point set by [L2], hence at most countable by [L3].
Assume is at most countable.
The product is canonically , so it is at most countable by [L1].
By induction, is at most countable for every .
is a countable dense subset of , and rational open boxes form a countable basis
Statement
Let . The set is countable and dense in . Moreover the rational open boxes
form a countable basis for the product topology on .
Facts & Assumptions
Given: , the product , and the rationals embedded in .
is countably infinite, and every finite power of an at most countable set is at most countable ( is countably infinite, Every finite power of an at most countable set is at most countable).
Every nonempty open subset of contains a rational point (Both and are dense in , and every nonempty open subset of is uncountable).
The product topology has a basis of finite-coordinate boxes, which for the finite index set are products of open subsets of (The product set of functions choosing a point in each factor, the projections, the box topology, and the product topology as the initial topology of the projections; the empty product is a one-point space).
A family is a basis when each point of each open set lies in one of its members contained in that open set (Basis and subbasis for a topology, and the topology generated by a family of sets).
Finite choices may be assembled into a tuple, and a subset of an at most countable set is at most countable (Every natural-number-indexed list of nonempty sets has a choice function on its family of values, Every subset of an at most countable set is at most countable).
If is open and , then some open interval about is contained in (Dictionary: for with the metric , continuity and uniform continuity of agree with the metric-space notions, the Lipschitz and Hölder conditions are the metric ones instantiated, and a subset of is compact in the open-cover sense of exactly when it is a compact metric subspace).
Proof
By [L1], is at most countable. It is infinite because the injection embeds in it, hence it is countable.
Let be a nonempty basic product-open set. Every is nonempty and open, so [L2] gives a rational ; finite choice supplies the tuple .
Let be a basic product-open neighbourhood. For each , use [L6] to choose with , then use [L2] to choose rationals Finite choice assembles these choices, and then .
Every nonempty open subset contains a nonempty basic product-open set about each of its points by [L3], so step 1.2 shows that every nonempty open subset meets . Thus is dense.
Step 1.3 and [L4] show that rational open boxes form a basis. They are indexed by a subset of , which is at most countable by [L1], so the basis is at most countable by [L5].
For , the punctured space is polygonally connected
Statement
For , is polygonally connected.
Facts & Assumptions
Given: and nonzero vectors .
The standard unit vectors form a basis of , so a one-dimensional span is a proper subspace when (The standard list with and for is an ordered basis of ; hence , and is the zero space with basis and dimension , Linear combination of a finite list, and the span as the smallest linear subspace containing ).
A vector outside cannot lie on a segment from to , except at no point; the corresponding statement holds for , by the vector-space axioms (Linear combination of a finite list, and the span as the smallest linear subspace containing , A norm on a real vector space, the induced metric, and the dictionary with the metric axioms).
A finite concatenation of segments contained in a subset is a polygonal path in that subset (A finite concatenation of straight segments in is a continuous path).
Proof
Choose . Such a vector exists: if the two spans differ, lies in neither; if they agree, [L1] gives a vector outside their common proper subspace.
The segment from to avoids : an equality with would give , contrary to step 1.1. The segment from to similarly avoids .
The two segments therefore form a polygonal path in from to by [L3].
Since were arbitrary nonzero vectors, the punctured space is polygonally connected.
Radial normalisation is continuous on
Statement
For , the map defined by is continuous.
Facts & Assumptions
Given: , the Euclidean norm, and a nonzero point .
The Euclidean norm is continuous and satisfies (The finite and reverse triangle inequalities for a norm; and for every norm on satisfies and is Lipschitz, hence continuous, for ).
Componentwise continuity gives continuity into (A vector-valued function has a limit, or is continuous, if and only if each of its components does; with the algebra of continuous vector-valued functions, Vector-valued functions , their limits and continuity, with the dictionary to the metric notions); and a map into a subspace is continuous exactly when its composite with the ambient inclusion is continuous, so a continuous map whose image lies in the subspace is continuous into it (Subspace topology: the traces of the open sets, its closed sets and its bases, the continuity of the inclusion, and the characteristic property of a map into a subspace).
The unit sphere is the set of vectors with Euclidean norm (Euclidean spheres and closed balls as subspaces of ).
Proof
Put . If , then [L1] gives .
For such , .
Step 1.2 gives the epsilon-delta condition at , so is continuous on the punctured space. Also , so its image lies in and [L2] gives continuity with that codomain.
For , the map is continuous on , starts at , ends at radial normalisation, fixes the unit sphere, and never reaches
Statement
For , put and define
Then is continuous, , , for , and .
Facts & Assumptions
Given: and .
Radial normalisation is continuous on (Radial normalisation is continuous on ).
Coordinate projections and the map into a product are continuous as stated by the product universal property (A map into a product is continuous iff each of its components is; the projections are continuous and open; and each projection is surjective when every factor is nonempty, which for an infinite index set uses the Axiom of Choice, The product set of functions choosing a point in each factor, the projections, the box topology, and the product topology as the initial topology of the projections; the empty product is a one-point space).
The Euclidean norm is continuous for the Euclidean metric and is positive away from , and the unit sphere consists of its norm-one points (The finite and reverse triangle inequalities for a norm; and for every norm on satisfies and is Lipschitz, hence continuous, for , Euclidean spheres and closed balls as subspaces of ).
For maps on a subset of a metric space, sums, scalar multiples and pointwise products of continuous real-valued functions are continuous, and a vector-valued map is continuous exactly when its coordinate functions are continuous (A vector-valued function has a limit, or is continuous, if and only if each of its components does; with the algebra of continuous vector-valued functions, clauses 1 and 3, the product being the case of the inner product); composites of continuous maps are continuous (Continuity may be checked on any open cover, and on any finite closed cover; composites of continuous maps are continuous); and is continuous on , this being clause 4 of (Sums, scalar multiples, products, absolute values, maxima, minima and quotients with nonvanishing denominator of continuous functions are continuous, as are constants, the identity and every polynomial function) with , numerator and denominator the identity.
A map into a subspace is continuous exactly when its composite with the ambient inclusion is continuous (Subspace topology: the traces of the open sets, its closed sets and its bases, the continuity of the inclusion, and the characteristic property of a map into a subspace).
Proof
The scalar is positive, since , , and .
The coordinate projections on are continuous by [L2]. By [L3] the map is continuous on and never there, so composing it with gives a continuous by [L4]; hence is continuous, being built from continuous functions by sums, scalar multiples and products as in [L4], and each coordinate is continuous. Componentwise continuity in [L4] makes continuous as a map into .
Substituting and gives and . If , then and .
Since and , . Hence takes values in , and [L5] makes it continuous as a map .
These identities and step 2.1 prove the statement.
For , the sphere is path-connected and connected
Statement
For , the unit sphere is path-connected and connected.
Facts & Assumptions
Given: and points .
The punctured space is polygonally connected, hence there is a continuous path in it from to (For , the punctured space is polygonally connected, A finite concatenation of straight segments in is a continuous path).
Radial normalisation is continuous on the punctured space and maps into the unit sphere (Radial normalisation is continuous on , Euclidean spheres and closed balls as subspaces of ).
A path-connected space is connected (Every path-connected space is connected, and every path component lies inside a component).
Proof
Choose a path from to as in [L1], and define , where .
The map is continuous and takes values in by [L2]. Since and , it joins to in the sphere.
Thus the sphere is path-connected, and it is connected by [L3].
is not homeomorphic to for any
Statement
For every , there is no homeomorphism .
Facts & Assumptions
Given: .
The punctured space is polygonally connected, hence connected (For , the punctured space is polygonally connected, Every path-connected space is connected, and every path component lies inside a component).
A continuous image of a connected space is connected (A continuous image of a connected space is connected, and connectedness is a topological property).
A homeomorphism is a continuous bijection with continuous inverse (Homeomorphism, open map, closed map, embedding, and what it means for a property to be topological).
Proof
Suppose is a homeomorphism, and put .
Restricting to gives a continuous surjection onto . The source is connected by [L1], so the target is connected by [L2].
Choose . Both endpoints lie in , but does not, so this subset is not order-convex and therefore not connected by [L3].
Steps 1.2 and 1.3 contradict one another. Thus no such homeomorphism exists.
5 · Examples, counterexamples and false statements
FALSE: every connected subset of is polygonally connected
Statement
False claim: every connected subset of is polygonally connected.
The unit circle is connected but is not polygonally connected.
Facts & Assumptions
Given: The unit circle and the points .
Every connected subset of Euclidean space is polygonally connected.
is path-connected and connected (For , the sphere is path-connected and connected).
A polygonal path is a finite concatenation of straight segments (Polygonal paths and polygonally connected subsets of ).
If distinct unit vectors are joined by a segment, its midpoint has squared Euclidean norm (The Euclidean inner product on , A norm on a real vector space, the induced metric, and the dictionary with the metric axioms).
Refutation
Suppose the claim [A1] holds. Since is connected by [L1], there is a polygonal path in from to .
In its finite vertex list some adjacent vertices are distinct, since its endpoints are distinct. The straight segment from to lies in by [L2].
But the midpoint of this segment has norm strictly less than by [L3], so it does not lie in . This contradicts step 2.1.
Sources
Standard references
Recommended treatments; not extraction sources.
- J. R. Munkres, Topology, 2nd ed., §§19, 20
- Product topology (Wikipedia)
- Norm (mathematics) (Wikipedia)
- Euclidean space
- Sphere
- Pseudocompact space
- Heine-Borel theorem (Wikipedia)
- Heine-Borel theorem
- Extreme value theorem
- Sequentially compact space
- Polygonal chain
- Path-connected space
- Pasting lemma (Wikipedia)
- Connected space
- Locally connected space (Wikipedia)
- Connected space (Wikipedia)
- Locally connected space
- Sigma-compact space
- Locally compact space (Wikipedia)
- Countable set
- Separable space (Wikipedia)
- Euclidean space (Wikipedia)
- Deformation retract
- Invariance of domain
- Convex set