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Sigma Algebras and Borel Sets
1 · Prerequisites
- Cardinal Arithmetic, Cofinality and the Alephs
- Compactness
- Compactness in Metric Spaces
- Completeness, Completion, and Uniform Continuity
- 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
- Finite Counting, Factorials and Binomial Coefficients
- Foundations of the Real Numbers for Analysis
- Limits of Real Functions
- Metric Spaces
- Monotone Sequences, Bolzano-Weierstrass, and Cauchy Completeness
- Order, Zorn's Lemma, and the Axiom of Choice
- Ordinal Arithmetic and the First Uncountable Ordinal
- Ordinals, Cardinals, and Transfinite Recursion
- Relations, Functions, and Quotients
- Roots, Rational Powers, and Classical Inequalities
- Sequences and Limits
- Set Theory Beyond Choice: Recorded, Not Proved Here
- Subspaces, Products, and Quotients
- Suprema and Infima
- The Topology of Euclidean Space
- The ZFC Axioms and the Basic Set Constructions
- Topological Spaces and Continuity
- Topology of ℝ
2 · Summary
Sigma-algebras isolate the set operations that remain available under countable constructions. Topological spaces supply the open generators for Borel sets, while the rational-box basis and Euclidean Heine-Borel theorem make those generators countable and connect them with compact sets. Subspace topology and the open-preimage characterisation of continuity control traces and inverse images. The Archimedean properties license the countable ball bases and compact truncations used in Euclidean space.
Generated sigma-algebras are established before their minimality is used to develop comparison rules, Dynkin's pi-lambda theorem, and the monotone class theorem. The Borel construction is then compared across interval, ray, box, ball, compact, trace, and continuous-preimage descriptions. Transfinite recursion gives the countable-ordinal construction, with its countable-choice hypothesis explicit; cardinal arithmetic yields the full-choice size bounds. Disjoint families and partition blocks determine the possible sizes and concrete forms of sigma-algebras.
3 · Logical flowchart
4 · Definitions, theorems and proofs
Algebras of subsets
Definition
Let be a set. An algebra of subsets of is a family such that:
- ;
- if , then ;
- if , then .
Thus an algebra is closed under complements relative to its fixed ambient set, finite unions, finite intersections, and differences. In particular belongs to every algebra on .
Sigma-algebras
Definition
Let be a set. A sigma-algebra on is an algebra of subsets (Algebras of subsets) that is closed under countable unions: whenever is a sequence in ,
The pair then has a fixed ambient set . Complements in the sigma-algebra axioms always mean complements relative to that .
Measurable spaces and measurable sets
Definition
A measurable space is a pair consisting of a set and a sigma-algebra on (Sigma-algebras). The members of are the measurable subsets of .
The sigma-algebra generated by a family of sets
Definition
Let be a set and let . Put
The sigma-algebra generated by is
When the ambient set is clear, write . The existence and minimality implicit in this terminology are proved in Nonempty intersections of sigma-algebras are sigma-algebras, so the generated sigma-algebra exists and is minimal ↗.
Nonempty intersections of sigma-algebras are sigma-algebras, so the generated sigma-algebra exists and is minimal
Statement
Let be a set.
- The intersection of every nonempty family of sigma-algebras on is a sigma-algebra on .
- For every , the family of The sigma-algebra generated by a family of sets is nonempty, and is the unique smallest sigma-algebra on containing .
Facts & Assumptions
Given: A set , a nonempty family of sigma-algebras on , and a family , with and as in The sigma-algebra generated by a family of sets.
Proof
Every member of contains ; if belongs to every member, then so does ; and if every belongs to every member, then so does . Hence is a sigma-algebra on .
The power set is a sigma-algebra on containing , so and the defining intersection for is taken over a nonempty family.
By step 1.1, is a sigma-algebra. Every set in belongs to every member of , so ; and the defining intersection is contained in every sigma-algebra containing . Thus it is the unique smallest such sigma-algebra.
Pi-systems
Definition
Let be a set. A pi-system on is a nonempty family closed under binary intersections: if , then .
The nonempty-family requirement is the convention used here. It does not require and it does not add an empty-intersection axiom.
Lambda-systems, or Dynkin systems
Definition
Let be a set. A lambda-system, or Dynkin system, on is a family such that:
- ;
- if and , then ;
- if and every , then .
A family is a lambda-system exactly when it contains and is closed under complements and countable disjoint unions
Statement
Let be a set and let . Then is a lambda-system on if and only if
- ;
- whenever ;
- whenever are pairwise disjoint.
Facts & Assumptions
Given: A set and a family .
A lambda-system on is a family such that ; if and , then ; and if with every , then (Lambda-systems, or Dynkin systems).
Proof
Forward direction: assume, in this step and in every later step that cites it, that is a lambda-system. Then by [L1], which is clause 1. For we have and , so by the relative-difference clause of [L1]; this is clause 2.
Reverse direction, whose hypothesis is independent of the forward branch: assume, in this step and in every later step that cites it, clauses 1, 2 and 3. Then , which is the first lambda-system clause of [L1], and by clauses 1 and 2.
Return to the forward direction, so that the hypothesis in force is again the one of step 1.1, namely that is a lambda-system. Let be pairwise disjoint and put . We show by induction on . For , . Suppose . Disjointness gives , and by step 1.1, so by [L1]. Its complement in is , which lies in by step 1.1.
Still under the clauses 1, 2 and 3 assumed in step 1.2, let with . Then by clause 2, and because . The sequence is therefore a pairwise disjoint sequence in by step 1.2, so clause 3 gives , and clause 2 then gives , which is the relative-difference clause of [L1].
Still in the forward direction, the sets of step 2.1 increase and satisfy , so by the increasing-union clause of [L1]. This is clause 3, and with step 1.1 it proves the forward direction.
Still under the clauses assumed in step 1.2, let lie in . Put and ; each lies in by step 2.2, the are pairwise disjoint, and . Clause 3 then gives , which is the increasing-union clause of [L1]. With steps 1.2 and 2.2 this proves the reverse direction. This proves the stated claim.
The lambda-system generated by a family of sets
Definition
Let be a set and . The lambda-system generated by is
Write when is clear. That the intersection is taken over a nonempty family and is itself a lambda-system is proved in The generated lambda-system exists and is minimal ↗.
The generated lambda-system exists and is minimal
Statement
For every set and every , the family is a lambda-system on , contains , and is contained in every lambda-system on that contains .
Facts & Assumptions
Given: A set , a family , and the intersection definition of in The lambda-system generated by a family of sets.
Proof
A nonempty intersection of lambda-systems on contains . If lie in every member, then lies in every member; and if is increasing and lies in every member, then lies in every member. Thus the intersection is a lambda-system.
The power set is a lambda-system containing , so the family intersected in the definition of is nonempty.
Steps 1.1 and 1.2 make a lambda-system. Every generator lies in every lambda-system being intersected, while an intersection is contained in each of its factors, so and is minimal.
Monotone classes of sets
Definition
Let be a set. A monotone class on is a family satisfying both closure conditions:
- if and every , then ;
- if and every , then .
The sequences are indexed by beginning at .
The monotone class generated by a family of sets
Definition
Let be a set and . The monotone class generated by is
Write when is clear. Its existence as a monotone class and its minimality are proved in The generated monotone class exists and is minimal ↗.
The generated monotone class exists and is minimal
Statement
For every set and every , the family is a monotone class on , contains , and is contained in every monotone class on that contains .
Facts & Assumptions
Given: A set , a family , and the intersection definition of in The monotone class generated by a family of sets.
Proof
A nonempty intersection of monotone classes is closed under increasing countable unions and decreasing countable intersections, because each operation is performed in every class being intersected.
The power set is a monotone class containing , so the family intersected in the definition of is nonempty.
By steps 1.1 and 1.2, is a monotone class. Every generator belongs to every class in the intersection, and the intersection is contained in each such class; hence it contains and is minimal.
The Borel sigma-algebra of a topological space
Definition
Let be a topological space (Topology on a set, open and closed sets, clopen sets, the closed-set axiomatisation, and the coarser/finer comparison). The Borel sigma-algebra of is the sigma-algebra generated by its open sets:
Its members are the Borel subsets of . The generated sigma-algebra exists and is minimal by Nonempty intersections of sigma-algebras are sigma-algebras, so the generated sigma-algebra exists and is minimal.
The trace of a sigma-algebra on a subset
Definition
Let be a sigma-algebra on (Sigma-algebras) and let . The trace of on is the family
This definition forms a family of subsets of . That it satisfies the sigma-algebra axioms on is proved in The trace of a sigma-algebra is a sigma-algebra on the traced subset ↗.
Limit superior and limit inferior of a sequence of sets
Definition
For a sequence of subsets of a set , define
The sequence begins at index . If the two sets are equal, their common value is called the limit of the sequence of sets.
Sigma-algebras are closed under countable intersections, differences, symmetric differences, and set limits
Statement
Let be a sigma-algebra on . Then is closed under countable intersections, differences, and symmetric differences. If every term of a sequence lies in , then both and (Limit superior and limit inferior of a sequence of sets) lie in .
Facts & Assumptions
Given: A sigma-algebra on and a sequence in .
A sigma-algebra contains the empty set and is closed under complements and countable unions (Sigma-algebras).
Set liminf is a countable union of tail intersections, and set limsup is a countable intersection of tail unions (Limit superior and limit inferior of a sequence of sets).
Proof
De Morgan's identity gives by [L1]. Finite and empty intersections are included by repeating terms and by .
If , then by step 1.1, and .
Each tail intersection and tail union of belongs to by step 1.1 and [L1]. Applying countable union and intersection closure once more to the formulas in [L2] puts both and in .
Set liminf means eventual membership, set limsup means repeated membership, and liminf is contained in limsup
Statement
For a sequence of subsets of and :
- if and only if there is such that for every ;
- if and only if for every there is with , equivalently belongs to infinitely many terms;
- .
Facts & Assumptions
Given: A sequence of subsets of and a point .
The definitions are and (Limit superior and limit inferior of a sequence of sets).
Proof
By [L1], exactly when belongs to one tail intersection, which is exactly the existence of such that for every . This proves both directions of claim 1, including .
By [L1], exactly when belongs to every tail union, which is exactly: for every there is with . This is equivalent to membership in infinitely many terms, since a finite set of successful indices has an index larger than all its members.
Eventual membership from step 1.1 implies the repeated-membership condition of step 1.2 by taking for each requested . Hence .
Generated sigma-algebras are monotone in their generators and idempotent
Statement
For families :
- if , then ;
- .
Facts & Assumptions
Given: Families .
The family is the unique smallest sigma-algebra on containing (Nonempty intersections of sigma-algebras are sigma-algebras, so the generated sigma-algebra exists and is minimal).
Proof
If , then the sigma-algebra contains , so minimality in [L1] gives .
The family is already a sigma-algebra. It is therefore the smallest sigma-algebra containing itself, and [L1] gives .
Two families generate the same sigma-algebra when each lies in the sigma-algebra generated by the other
Statement
Let . If
then .
Facts & Assumptions
Given: Families satisfying the two displayed inclusions.
Generated sigma-algebras are monotone in their generators and idempotent (Generated sigma-algebras are monotone in their generators and idempotent).
Proof
From , monotonicity and idempotence in [L1] give .
Interchanging and gives ; together with step 1.1 this proves equality.
An algebra closed under countable disjoint unions is a sigma-algebra
Statement
Let be an algebra of subsets of . If the union of every pairwise disjoint sequence in belongs to , then is a sigma-algebra on .
Facts & Assumptions
Given: An algebra on with the stated closure under countable disjoint unions, and a sequence in .
An algebra is closed under complements and finite unions (Algebras of subsets).
A sigma-algebra is an algebra closed under countable unions (Sigma-algebras).
Proof
For put . The union with is finite and is empty when , so [L1] gives . The sets are pairwise disjoint and .
The assumed disjoint-union closure applied to gives . Thus has the countable-union axiom in [L2] and is a sigma-algebra.
An algebra closed under increasing countable unions is a sigma-algebra
Statement
Let be an algebra of subsets of . If for every increasing sequence in , then is a sigma-algebra on .
Facts & Assumptions
Given: An algebra on with the stated increasing-union closure, and a sequence in .
An algebra is closed under finite unions (Algebras of subsets).
A sigma-algebra is an algebra closed under countable unions (Sigma-algebras).
Proof
Put . By [L1], each lies in , and .
The hypothesis gives , and . Hence is closed under arbitrary countable unions and is a sigma-algebra by [L2].
A lambda-system closed under finite intersections is a sigma-algebra
Statement
If a lambda-system on is closed under binary intersections, then is a sigma-algebra on .
Facts & Assumptions
Given: A lambda-system on that is closed under binary intersections.
A lambda-system contains , is closed under relative differences, and is closed under increasing countable unions (Lambda-systems, or Dynkin systems).
A sigma-algebra is an algebra closed under countable unions (Sigma-algebras).
Proof
Since , [L1] gives for every .
For , step 1.1 and intersection closure give . Thus every finite union of members belongs to .
For a sequence in , the partial unions lie in by step 2.1 and increase, so [L1] gives . Together with steps 1.1 and 2.1, this is the sigma-algebra criterion [L2].
For a member A of a lambda-system D, the sets B with A intersection B in D form a lambda-system
Statement
Let be a lambda-system on and fix . Then
is a lambda-system on .
Facts & Assumptions
Given: A lambda-system on and a fixed set .
A lambda-system contains , is closed under relative differences, and is closed under increasing countable unions (Lambda-systems, or Dynkin systems).
Proof
One has and , so .
If and , then and by [L1]; hence .
If is increasing in , then and by [L1]. Therefore , and all lambda-system axioms hold.
The lambda-system generated by a pi-system is closed under finite intersections
Statement
If is a pi-system on , then its generated lambda-system is closed under binary intersections.
Facts & Assumptions
Given: A pi-system on and .
A pi-system is nonempty and closed under binary intersections (Pi-systems).
The family is the smallest lambda-system on containing (The generated lambda-system exists and is minimal).
For in a lambda-system , the family is a lambda-system (For a member A of a lambda-system D, the sets B with A intersection B in D form a lambda-system).
Proof
Fix . By [L3], is a lambda-system. If , then by [L1] and [L2], so . Minimality in [L2] yields .
Now fix . Symmetry of intersection and step 1.1 show for every , so . By [L3] and [L2], is a lambda-system containing and therefore contains .
Thus for arbitrary one has , which means .
Dynkin's pi-lambda theorem
Statement
Let be a pi-system on . Then . Consequently, if is any lambda-system on with , then .
Facts & Assumptions
Given: A pi-system on , its generated lambda-system , and an arbitrary lambda-system containing .
If is a pi-system on , then is closed under binary intersections (The lambda-system generated by a pi-system is closed under finite intersections).
A lambda-system on closed under binary intersections is a sigma-algebra on (A lambda-system closed under finite intersections is a sigma-algebra).
The family is the smallest lambda-system containing (The generated lambda-system exists and is minimal).
The family is the smallest sigma-algebra containing (Nonempty intersections of sigma-algebras are sigma-algebras, so the generated sigma-algebra exists and is minimal).
Proof
By [L1], [L2], and [L3], is a sigma-algebra containing . Hence [L4] gives .
The sigma-algebra is a lambda-system: it contains , is closed under relative differences because it is closed under complements and intersections, and is closed under increasing countable unions. Since it contains , [L3] gives .
Steps 1.1 and 1.2 prove equality. Minimality in [L3] also gives , so .
The monotone class generated by an algebra is closed under complements
Statement
If is an algebra of subsets of , then the generated monotone class is closed under complements relative to .
Facts & Assumptions
Given: An algebra on and .
An algebra is closed under complements (Algebras of subsets).
The family is the smallest monotone class containing (The generated monotone class exists and is minimal).
Proof
Put . If increases in , then decreases, so monotone closure of places both and its complement in . The decreasing case is the same with union and intersection interchanged. Hence is a monotone class.
If , then by [L1] and [L2], so . Minimality in [L2] gives , which is the asserted complement closure.
Every member of the generated monotone class intersects every original algebra member inside the generated class
Statement
Let be an algebra on and . For every and every , one has .
Facts & Assumptions
Given: An algebra on , its generated monotone class , and a fixed .
An algebra is closed under finite intersections (Algebras of subsets).
The family is the smallest monotone class containing (The generated monotone class exists and is minimal).
Proof
Let . Intersection with commutes with increasing unions and decreasing intersections, so the two monotone closure axioms for show that is a monotone class.
If , then by [L1] and [L2]. Thus , and minimality gives .
The monotone class generated by an algebra is closed under finite intersections
Statement
If is an algebra on , then is closed under binary intersections.
Facts & Assumptions
Given: An algebra on and .
The family is the smallest monotone class containing (The generated monotone class exists and is minimal).
Every member of intersects every member of in a member of (Every member of the generated monotone class intersects every original algebra member inside the generated class).
Proof
Fix and put . As before, intersection with commutes with increasing unions and decreasing intersections, so is a monotone class. By symmetry of intersection and [L2], every lies in .
Minimality in [L1] gives . Since was arbitrary, for all .
The monotone class generated by an algebra equals the sigma-algebra it generates
Statement
For every algebra of subsets of ,
Facts & Assumptions
Given: An algebra on and .
The family is the smallest monotone class containing (The generated monotone class exists and is minimal).
The family is closed under complements (The monotone class generated by an algebra is closed under complements) and binary intersections (The monotone class generated by an algebra is closed under finite intersections).
An algebra closed under increasing countable unions is a sigma-algebra (An algebra closed under increasing countable unions is a sigma-algebra).
The family is the smallest sigma-algebra containing (Nonempty intersections of sigma-algebras are sigma-algebras, so the generated sigma-algebra exists and is minimal).
Proof
By [L2], contains and is closed under complements and binary intersections, hence under finite unions; it is therefore an algebra.
Every sigma-algebra is closed under increasing unions and, by De Morgan's law, decreasing intersections. Thus is a monotone class containing , and minimality in [L1] gives .
Since is a monotone class by [L1], it is closed under increasing countable unions. Step 1.1 and [L3] make it a sigma-algebra containing , so [L4] gives .
The inclusions of steps 2.1 and 1.2 prove the equality.
Every sigma-algebra is a lambda-system and a monotone class
Statement
Every sigma-algebra on is both a lambda-system and a monotone class on .
Facts & Assumptions
Given: A sigma-algebra on .
A sigma-algebra contains the empty set and is closed under complements and countable unions (Sigma-algebras).
A lambda-system contains , is closed under relative differences, and is closed under increasing countable unions (Lambda-systems, or Dynkin systems).
A monotone class is closed under increasing countable unions and decreasing countable intersections (Monotone classes of sets).
Proof
The family contains ; if lie in , then lies in ; and every increasing countable union lies in . Hence the axioms in [L2] hold.
Increasing unions lie in by [L1]. If decreases in , then lies in , so the axioms in [L3] hold.
The trace of a sigma-algebra is a sigma-algebra on the traced subset
Statement
If is a sigma-algebra on and , then the trace is a sigma-algebra on .
Facts & Assumptions
Given: A sigma-algebra on , a subset , and the trace of The trace of a sigma-algebra on a subset.
Proof
Since , the empty set lies in the trace. If lies in the trace, then lies in it.
For a sequence of traced sets, lies in the trace. Together with step 1.1 these are exactly the sigma-algebra axioms on .
Generating a sigma-algebra commutes with taking traces
Statement
Let and , and put . Then
Facts & Assumptions
Given: A family and a subset .
A trace of a sigma-algebra is a sigma-algebra on the traced subset (The trace of a sigma-algebra is a sigma-algebra on the traced subset).
A generated sigma-algebra is the smallest sigma-algebra containing its generators (Nonempty intersections of sigma-algebras are sigma-algebras, so the generated sigma-algebra exists and is minimal).
The trace is (The trace of a sigma-algebra on a subset).
Proof
By [L1], is a sigma-algebra on , and it contains . Hence [L2] gives .
Let . The identities and show that is a sigma-algebra on ; it contains .
By [L2], , so tracing gives . Together with step 1.1 this proves equality.
Every open subset of the real line is a countable union of open intervals with rational endpoints
Statement
Every open set is a countable union of intervals with and . For , the indexing family is empty.
Facts & Assumptions
Given: An open subset of .
For , the rational open boxes form a countable basis for the product topology on ( is a countable dense subset of , and rational open boxes form a countable basis).
Every subset of an at most countable set is at most countable (Every subset of an at most countable set is at most countable).
Proof
Let be the family of rational open intervals contained in . By [L1] with , this is a subfamily of a countable family, so [L2] makes it at most countable.
Every member of lies in . Conversely, the basis clause of [L1] puts each in some . Thus ; when is empty both sides are empty.
Seven generating families for the Borel sigma-algebra on the real line
Statement
Each of the following families generates :
- all open subsets of ;
- all closed subsets of ;
- all open intervals with ;
- all rational open intervals with and ;
- all half-open intervals with ;
- all open right rays ;
- all rational open right rays with .
Facts & Assumptions
Given: The seven displayed families of subsets of .
The Borel sigma-algebra is generated by the open sets (The Borel sigma-algebra of a topological space).
Every open subset of is a countable union of rational open intervals (Every open subset of the real line is a countable union of open intervals with rational endpoints).
Strictly between any two real numbers lies a rational number (The rationals embed densely in the reals).
If each of two families lies in the sigma-algebra generated by the other, then they generate the same sigma-algebra (Two families generate the same sigma-algebra when each lies in the sigma-algebra generated by the other).
The rationals are countably infinite: ( is countably infinite).
Proof
Open and closed sets generate the same sigma-algebra by complementation. Open intervals are open, while [L2] expresses every open set using rational open intervals; hence the open intervals and the rational open intervals each generate the sigma-algebra in [L1].
For , rational density [L3] gives and . It also gives and . Finally and . By [L5] all displayed rational-indexed unions and intersections are countable, so these identities give both generator inclusions for the half-open, real-ray, and rational-ray families.
Applying [L4] to the inclusions in steps 1.1 and 2.1 shows that every displayed family generates .
For n at least one, open sets, closed sets, compact sets, open balls, boxes, rational open boxes, and rational half-open boxes generate the Borel sigma-algebra on R^n
Statement
Let with . In the product topology on , each of the following families generates : all open sets; all closed sets; all compact sets; all Euclidean open balls; all open boxes; all rational open boxes; and all rational half-open boxes with rational endpoints .
Facts & Assumptions
Given: A natural number and the product topology on .
The rational open boxes form a countable basis for the product topology on , and is countable and dense ( is a countable dense subset of , and rational open boxes form a countable basis).
In a metric topology, every point of an open set has an open 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).
The product topology on is the Euclidean metric topology, and a subset is compact if and only if it is closed and bounded (A subset of with the product topology is compact exactly when it is closed and bounded, the product topology being the Euclidean metric topology).
The real field is a complete ordered field (The Cauchy-sequence reals have the least-upper-bound property), so every real number is below some positive natural number (Every complete ordered field is Archimedean).
For every positive real , some positive natural number satisfies (For every in a complete ordered field there is a natural with ).
Families that lie in each other's generated sigma-algebras generate the same sigma-algebra (Two families generate the same sigma-algebra when each lies in the sigma-algebra generated by the other).
Proof
By [L1], every open set is the union of the subfamily of rational open boxes it contains, and that subfamily is countable. Thus the rational open boxes generate the open sets and hence ; all open boxes generate the same sigma-algebra.
By rational density in [L1], every rational open box is the union of the rational half-open boxes contained in it. Conversely, by [L5], so rational open and rational half-open boxes lie in each other's generated sigma-algebras.
Open and closed sets generate the same sigma-algebra by complementation. Euclidean balls with centres in and radii form a countable basis: for a ball of radius about , use [L5] to choose with , then use the density in [L1] to choose with . Thus . By [L2] and [L3], every open set is therefore a countable union of open balls, while every open ball is open.
By [L6], step 1.2 and step 1.1 identify the sigma-algebra generated by rational half-open boxes with .
By [L4], every closed is . Each term is closed and bounded, hence compact by [L3], while every compact set is closed. Therefore compact sets and closed sets generate the same sigma-algebra. Combining this with steps 1.1, 2.1, and 1.3 proves the claim for all displayed families.
The Borel sigma-algebra of a subspace is the trace of the ambient Borel sigma-algebra
Statement
Let be a subspace of a topological space . Then
Facts & Assumptions
Given: A topological space and a subset with its subspace topology.
The subspace topology on consists exactly of the traces of open sets of (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).
Generating a sigma-algebra commutes with taking traces (Generating a sigma-algebra commutes with taking traces).
The Borel sigma-algebra of a topological space is generated by its open sets (The Borel sigma-algebra of a topological space).
Proof
By [L1], the family generating is precisely the trace on of the family generating .
Applying [L2] to the family of open subsets of gives .
A continuous map has Borel preimages of Borel sets
Statement
If is continuous between topological spaces, then for every .
Facts & Assumptions
Given: Topological spaces and a continuous map .
Continuity implies that is open in for every open (For a map of spaces the following agree: continuity at every point, preimages of open sets open, preimages of closed sets closed, preimages of subbasic open sets open, and ).
The Borel sigma-algebra is the smallest sigma-algebra containing the open sets (The Borel sigma-algebra of a topological space, Nonempty intersections of sigma-algebras are sigma-algebras, so the generated sigma-algebra exists and is minimal).
Proof
Let . Preimages preserve complements and countable unions, so is a sigma-algebra on .
Every open belongs to , because [L1] makes open and therefore Borel in .
Minimality in [L2] gives , which is the stated conclusion.
Assuming countable choice, a generated sigma-algebra is obtained in omega-one stages of complements and countable unions
Statement
Assume the Axiom of Countable Choice . Let be a set and . Define families by
and at every nonzero limit ordinal . Then
Facts & Assumptions
Given: The Axiom of Countable Choice, a set , and a family .
Transfinite recursion on a well-order produces a unique function whose value at each stage is prescribed from all earlier values (Transfinite recursion).
Under , every at most countable subset of is bounded below (Assuming countable choice: every at most countable subset of is bounded below , so no at most countable subset of is cofinal in it, and a supremum of at most countably many at most countable ordinals is at most countable).
The Axiom of Countable Choice supplies a choice function for every family of nonempty sets indexed by (The Axiom of Countable Choice ()).
The family exists and is the smallest sigma-algebra on containing (Nonempty intersections of sigma-algebras are sigma-algebras, so the generated sigma-algebra exists and is minimal).
Proof
The displayed successor and limit prescriptions define a class function of the earlier stages, so [L1] produces the unique family . Each stage is contained in the next because is the union of the constant sequence with value .
Transfinite induction gives for every : at the base, the generated sigma-algebra contains and ; complements and countable unions stay in the sigma-algebra at a successor stage; and a limit stage is a union of earlier subfamilies.
Put . It contains and and is closed under complements. Given in , [L3] may choose stages with ; [L2] bounds the set of chosen stages by some . Monotonicity from step 1.1 puts every in , so . Thus is a sigma-algebra.
Minimality in [L4] gives , while step 2.1 gives the reverse inclusion. Hence the two families are equal.
Assuming the Axiom of Choice, an infinite family E generates at most |E|^aleph-zero sets
Statement
Assume the Axiom of Choice. Let be infinite and put . Then
Facts & Assumptions
Given: The Axiom of Choice and an infinite family of cardinality .
Generated sigma-algebras are exhausted by the complement and countable-union stages below (Assuming countable choice, a generated sigma-algebra is obtained in omega-one stages of complements and countable unions).
Cardinal exponentiation is available under the Axiom of Choice; it is monotone in the base, monotone in the exponent for nonzero base, and satisfies (Cardinal sum , product and exponentiation , and why they are written apart from the ordinal operations, Commutativity, associativity, distributivity and monotonicity of and , the unit laws, the two exponent laws, and if and only if injects into ).
For every infinite cardinal , (Hessenberg: for every infinite cardinal , proved in ZF from the canonical well-order of ), and smaller nonzero cardinals are absorbed by addition and multiplication with (Absorption: for cardinals with infinite and , , and when ).
Under the Axiom of Choice, is the cardinality of and is strictly larger than (Assuming the Axiom of Choice, , and Cantor's theorem in cardinal form: ).
The Axiom of Choice provides choice functions for arbitrary families of nonempty sets (The Axiom of Choice).
The ordinal is a cardinal and is the least uncountable ordinal ( is uncountable, every ordinal below it is at most countable, it is a cardinal and a limit ordinal, and its existence is a theorem of ZF).
Proof
Put . Since , [L2] and [L4] give under [L5]; the minimality in [L6] therefore gives . Also is infinite.
Transfinite induction on the stages in [L1] gives . At the base, sending each member of to its constant sequence injects into . At a successor, complements contribute at most sets and sequences contribute at most by [L2] and [L3]. At a limit below , the predecessor set is countable by [L6], and [L5] chooses stagewise injections into ; hence the union has size at most by [L3].
Using [L5] to choose one injection of each stage into , the union of the stages has cardinal at most by step 1.1 and [L3]. By [L1] this union is , proving the bound.
Assuming the Axiom of Choice, the Borel sigma-algebra on R^n has cardinality continuum for n at least one
Statement
Assume the Axiom of Choice. For every with ,
Facts & Assumptions
Given: The Axiom of Choice and a natural number .
The rationals are countably infinite: ( is countably infinite).
Rational open boxes generate , and closed subsets of are Borel (For n at least one, open sets, closed sets, compact sets, open balls, boxes, rational open boxes, and rational half-open boxes generate the Borel sigma-algebra on R^n).
An infinite family of cardinality generates at most sets under the Axiom of Choice (Assuming the Axiom of Choice, an infinite family E generates at most |E|^aleph-zero sets).
Equinumerous sets have equinumerous power sets, and function spaces are transported by bijections (Disjoint union, cartesian product, function space and power set respect equinumerosity, and for ordinals the sets and carry explicit well-orders, so their cardinalities exist in ZF).
If each of two sets injects into the other, then they are equinumerous (The Schröder-Bernstein theorem).
Under the Axiom of Choice, (Assuming the Axiom of Choice, , and Cantor's theorem in cardinal form: ).
Under the Axiom of Choice every set can be well ordered, so the cardinalities needed here and the exponent are defined (The well-ordering theorem, Cardinal sum , product and exponentiation , and why they are written apart from the ordinal operations).
The product of the countably infinite cardinal with itself satisfies (Hessenberg: for every infinite cardinal , proved in ZF from the canonical well-order of ).
Proof
By [L1] and repeated use of the product identity in [L8], endpoint tuples show that the rational open boxes form an at most countable family. It is infinite because injects into that family when . Thus it is countably infinite, and [L2] and [L3] give .
Characteristic functions inject into . Conversely, the graph map injects into , which is equinumerous with by [L4] and [L8]. Hence [L5] and [L6] give .
For , let be the singleton when and the empty set otherwise. The point is defined because , each is closed and hence Borel by [L2], and is Borel. Distinct subsets give distinct unions, so injects into .
Steps 1.1 and 1.2 give an injection , while step 1.3 gives the reverse injection. Applying [L5] proves equality with .
A sigma-algebra with a listed infinite subfamily contains a disjoint sequence of nonempty members
Statement
Let be a sigma-algebra on . If there is an injective sequence , then there is a sequence of pairwise disjoint nonempty members of .
Facts & Assumptions
Given: A sigma-algebra on and an injective sequence .
A sigma-algebra is closed under complements and countable unions, hence under finite Boolean operations (Sigma-algebras).
A countably infinite set admits a bijective listing by (Finite, countably infinite, countable, uncountable).
A seed and a function determine a sequence by recursion on (The recursion theorem).
Proof
Let be the Boolean algebra generated by the sets . Finite Boolean expressions can be coded by natural numbers, so deleting repeated values in least-code order gives a listing of . It is infinite because it contains the distinct sets .
Call a nonempty an atom when it has no nonempty proper member in . If has infinitely many atoms, list them in least-code order. Otherwise let be the complement of the union of its finitely many atoms. This complement is nonempty: if the atoms covered , then intersecting any member of with each atom would show that every member is a union of those finitely many atoms, contradicting that is infinite. The set contains no atom. Given nonempty atomless , take the least listed that splits it, put and , and use [L3] to continue. Both new sets are nonempty by the choice of .
In the first case the listed atoms are pairwise disjoint nonempty members of . In the second, each is nonempty, is disjoint from , and all later lie in ; hence the are pairwise disjoint members of . This constructs the required sequence without a choice principle.
Assuming countable choice, every infinite sigma-algebra contains a copy of the power set of the natural numbers
Statement
Assume . If is an infinite sigma-algebra on , then there is an injection . Consequently is uncountable (Finite, countably infinite, countable, uncountable).
Facts & Assumptions
Given: The Axiom of Countable Choice and an infinite sigma-algebra on .
Countable choice selects one member from every sequence of nonempty sets (The Axiom of Countable Choice ()).
A sigma-algebra with an injective sequence of members contains a sequence of pairwise disjoint nonempty members (A sigma-algebra with a listed infinite subfamily contains a disjoint sequence of nonempty members).
A sigma-algebra is closed under countable unions (Sigma-algebras).
The power set of a set is strictly larger than the set itself (Cantor's theorem: ), with domination expressed by injections (Equinumerous sets, and ).
An at most countable set is finite or equinumerous with , and in either case it injects into (Finite, countably infinite, countable, uncountable).
Under , a countable union of at most countable sets is at most countable (Countable unions of at most countable sets, assuming ).
Proof
For each , let be the nonempty set of injections . By [L1] choose . By [L6], the union of the finite ranges is at most countable. It is infinite because it has subsets of every finite size, so [L5] makes it countably infinite; a bijective listing is therefore an injective sequence in .
By [L2], fix pairwise disjoint nonempty . For , define , which lies in by [L3].
If , the least index in belongs to exactly one of them, and its nonempty is contained in exactly one of by disjointness. Thus is injective. If were at most countable, [L5] would give an injection ; the map that sends to and every natural number outside to would then be a surjection , contrary to [L4]. Hence is uncountable.
No sigma-algebra is countably infinite
Statement
There is no countably infinite sigma-algebra.
Facts & Assumptions
Given: A putative countably infinite sigma-algebra on a set .
Countably infinite means equinumerous with (Finite, countably infinite, countable, uncountable).
A sigma-algebra with an injective sequence of members contains pairwise disjoint nonempty members indexed by (A sigma-algebra with a listed infinite subfamily contains a disjoint sequence of nonempty members).
A sigma-algebra is closed under countable unions (Sigma-algebras).
There is no surjection (Cantor's theorem: ), and injections both ways give a bijection (The Schröder-Bernstein theorem).
Proof
Suppose, for contradiction, that is countably infinite. By [L1] its bijective listing and [L2] give pairwise disjoint nonempty sets .
As in the preceding theorem, is an injection , using [L3] and disjointness. Composing with a bijection gives an injection .
The singleton map injects into , so [L4] would give a bijection and hence a surjection , contradicting Cantor's theorem. Therefore no countably infinite sigma-algebra exists.
A countable partition generates exactly the unions of its blocks, and the resulting sigma-algebra is countable exactly for a finite partition
Statement
Let be an at most countable partition of : its blocks are nonempty and pairwise disjoint, and their union is . Then
The map is a bijection from onto this sigma-algebra. If has members, the sigma-algebra has members, including when . The generated sigma-algebra is at most countable if and only if the partition is finite.
Facts & Assumptions
Given: An at most countable partition of .
A generated sigma-algebra is the smallest sigma-algebra containing its generators (Nonempty intersections of sigma-algebras are sigma-algebras, so the generated sigma-algebra exists and is minimal).
At most countable means finite or countably infinite (Finite, countably infinite, countable, uncountable), and a sigma-algebra is closed under countable unions (Sigma-algebras).
A set is not equinumerous with its power set (Cantor's theorem: ), and injections both ways imply equinumerosity (The Schröder-Bernstein theorem).
Every subset of an at most countable set is at most countable (Every subset of an at most countable set is at most countable).
Proof
Let . The empty union is empty; the complement of the union indexed by is the union indexed by ; and countable unions correspond to unions of the indexing subsets. Thus is a sigma-algebra containing every block.
By [L1], . Conversely, every is at most countable by [L4], so is a countable union of generators and belongs to the generated sigma-algebra by [L2]. Hence equality holds.
Pairwise disjointness and nonemptiness make injective, and step 2.1 makes it surjective. For , its domain has members; when , the partition is possible exactly for and the sigma-algebra is .
If is countably infinite and the generated sigma-algebra were at most countable, step 3.1 would inject into . Since , [L3] would then force , contradicting Cantor's theorem. Together with the finite case of step 3.1, this proves both directions of the final equivalence.
5 · Examples, counterexamples and false statements
None yet.
Sources
Standard references
Recommended treatments; not extraction sources.
- R. F. Bass, Real Analysis for Graduate Students, version 5.0, Definition 2.1
- T. Tao, An Introduction to Measure Theory, Definition 1.4.12
- R. F. Bass, Real Analysis for Graduate Students, version 5.0, Lemma 2.7
- T. Tao, An Introduction to Measure Theory, Definition 1.4.14
- T. Tao, An Introduction to Measure Theory, Exercises 1.4.13-1.4.14
- A. Dembo, Probability Theory lecture notes, Definition 1.1.36
- A. Dembo, Probability Theory lecture notes, Definition 1.1.36 and the Remark following it
- A. Dembo, Probability Theory lecture notes, proof of Theorem 1.1.38
- R. F. Bass, Real Analysis for Graduate Students, version 5.0, Definition 2.9
- A. Dembo, Probability Theory lecture notes, Definition 1.1.43
- R. F. Bass, Real Analysis for Graduate Students, version 5.0, Definition 2.9 and Theorem 2.10
- T. Tao, An Introduction to Measure Theory, Definition 1.4.16
- R. F. Bass, Real Analysis for Graduate Students, version 5.0, Section 2.1
- T. Tao, An Introduction to Measure Theory, Exercise 1.4.12
- R. F. Bass, Real Analysis for Graduate Students, version 5.0, Exercise 2.9
- R. F. Bass, Real Analysis for Graduate Students, version 5.0, Definition 2.1 and Exercise 2.9
- T. Tao, An Introduction to Measure Theory, Exercise 1.4.14
- R. F. Bass, Real Analysis for Graduate Students, version 5.0, proof route for Theorem 2.10
- A. Dembo, Probability Theory lecture notes, Proposition 1.1.37
- A. Dembo, Probability Theory lecture notes, Theorem 1.1.38
- R. F. Bass, Real Analysis for Graduate Students, version 5.0, proof of Theorem 2.10
- R. F. Bass, Real Analysis for Graduate Students, version 5.0, Theorem 2.10
- A. Dembo, Probability Theory lecture notes, Theorem 1.1.44
- A. Dembo, Probability Theory lecture notes, Definitions 1.1.36 and 1.1.43
- R. F. Bass, Real Analysis for Graduate Students, version 5.0, Proposition 2.8
- T. Tao, An Introduction to Measure Theory, Remark 1.4.15
- T. Tao, An Introduction to Measure Theory, Exercise 1.4.15
- D. H. Fremlin, Measure Theory, Chapter 56, result 567E(b)
- T. Tao, An Introduction to Measure Theory, Exercise 1.4.16
- D. H. Fremlin, Measure Theory, Chapter 56, Section 561A and result 567E(b)
- R. F. Bass, Real Analysis for Graduate Students, version 5.0, Exercises 2.6 and 2.8
- R. F. Bass, Real Analysis for Graduate Students, version 5.0, Exercise 2.6
- R. F. Bass, Real Analysis for Graduate Students, version 5.0, Exercise 2.8
- R. F. Bass, Real Analysis for Graduate Students, version 5.0, Examples 2.4-2.6
- T. Tao, An Introduction to Measure Theory, Exercise 1.4.10