This article gathers topics that are scattered throughout [Bou] along with some topics not covered there, combining them into a single post.
Filter and Ideal
First, let us define the following two concepts.
Definition 1 For an ordered set \(A\), a subset \(X\subseteq A\) is a lower set (resp. upper set) if whenever \(y\in A\) satisfies \(y\leq x\) (resp. \(x\leq y\)) for some \(x\in X\), then \(y\in X\).
A non-empty right directed lower set is called an ideal, and a non-empty left directed upper set is called a filter.
The set \(E\) itself is both a filter and an ideal. Filters and ideals distinct from \(E\) are called proper.
Example 2 Let an ordered set \(A\) be given. For any \(x\in A\), the downward closure1
\[\downarrow x=\{y\in A\mid y\leq x\}\]is an ideal of \(A\). Such an ideal is called a principal ideal.
Similarly, the upward closure
\[\uparrow x=\{y\in A\mid y\geq x\}\]is a filter of \(A\), and such a filter is called a principal filter.
We are mostly interested in cases where \(A\) is a lattice. In this case, (§Directed Sets, ⁋Definition 4)
- A non-empty lower set \(I\) is an ideal if and only if for any \(x,y\in I\), we have \(x\vee y\in I\).
- A non-empty upper set \(F\) is a filter if and only if for any \(x,y\in F\), we have \(x\wedge y\in F\).
Example 3 Let a set \(A\) be given. When the natural order relation \(\subseteq\) is given to \(\mathcal{P}(A)\), it becomes a lattice, and in particular, for any \(X,Y\in\mathcal{P}(A)\),
\[X\vee Y=X\cup Y,\qquad X\wedge Y=X\cap Y\]holds. In \(\mathcal{P}(A)\), the two operations \(\vee\) and \(\wedge\) additionally satisfy the following distributive laws:
\[X\vee(Y\wedge Z)=(X\vee Y)\wedge(X\vee Z),\qquad X\wedge(Y\vee Z)=(X\wedge Y)\vee(X\wedge Z)\]Definition 4 Let a lattice \(A\) be given, and let \(I\) and \(F\) be a proper ideal and a proper filter of \(E\), respectively. \(I\) is a prime ideal if for any \(x,y\in A\), if \(x\wedge y\in I\), then either \(x\in I\) or \(y\in I\) holds. Similarly, \(F\) is a prime filter if for any \(x,y\in A\), if \(x\vee y\in F\), then either \(x\in F\) or \(y\in F\) holds. ([Algebraic Structures] §Field of Fractions, ⁋Proposition 8)
Alternatively, defining \(I\) to be a prime ideal by requiring that \(A\setminus I\) be a filter yields an equivalent definition.
Proposition 5 Let a lattice \(A\) be given in which the distributive law between the two operations \(\vee\) and \(\wedge\) holds. Then every maximal ideal is a prime ideal, and every maximal filter is a prime filter.
Proof
Let \(I\) be a maximal ideal, and suppose \(x\wedge y\in I\). Assume, for contradiction, that \(x,y\not\in I\). Define a new set \(J\) as the set of all \(z\) such that \(x\wedge z\in I\).
- If \(z_1,z_2\in J\), then \(x\wedge (z_1\vee z_2)=(x\wedge z_1)\vee(x\wedge z_2)\in I\) holds, so \(z_1\vee z_2\in J\).
- If \(z\in J\) and \(z'\leq z\), then \(z'\in J\). Since \((x\wedge z')\vee (x\wedge z)=x\wedge (z'\vee z)=x\wedge z\), we have \(x\wedge z'\leq x\wedge z\), and since \(x\wedge z\in I\), we must have \(x\wedge z'\) also be an element of \(I\).
- In particular, it is clear that \(x\not\in J\) and \(y\in J\).
Therefore, \(J\) is a proper ideal strictly containing \(I\), which contradicts the maximality of \(I\). Similarly, we can show that every maximal filter is prime.
Maximal filters are also called ultrafilters.
For two ordered sets \(A,B\), consider an increasing function \(f:A\rightarrow B\). Also, let \(Y\) be any lower set of \(B\) and let \(X=f^{-1}(Y)\). If for some \(y\in A\) there exists \(x\in X\) such that \(y\leq x\), then \(f(y)\leq f(x)\), and since \(Y\) is a lower set, \(f(y)\in Y\) holds, so \(y\in X\). That is, the preimage of a lower set is also a lower set.
Galois Connection
The Galois connection we are about to introduce, as the name suggests, originates from Galois theory on field extensions. However, it can be abstracted as a relation between two ordered sets, and this abstraction proves useful in many areas.
Definition 6 Let two ordered sets \(A\) and \(B\) be given.
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Let two increasing functions \(F:A\rightarrow B\) and \(G:B\rightarrow A\) satisfy the condition
\[F(a)\leq b\iff a\leq G(b)\]for all \(a\in A\) and \(b\in B\). Then \(F\) is called the lower adjoint of \(G\), \(G\) is called the upper adjoint of \(F\), and the pair \((F,G)\) is called a monotone Galois connection between \(A\) and \(B\).
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Let two decreasing functions \(F:A\rightarrow B\) and \(G:B\rightarrow A\) satisfy the condition
\[b\leq F(a)\iff a\leq G(b)\]for all \(a\in A\) and \(b\in B\). Then \(F\) and \(G\) are each called a polarity, and the pair \((F,G)\) is called an antitone Galois connection between \(A\) and \(B\).
In either case, the function \(G\circ F:A\rightarrow A\) always satisfies \(a\leq G(F(a))\). For a monotone Galois connection,
\[a\leq G(F(a))\iff F(a)\leq F(a)\]where the latter is always true, and similarly for an antitone Galois connection. On the other hand, \(F\circ G\) depends on whether the Galois connection is monotone or antitone. For a monotone Galois connection,
\[F(G(b))\leq b\iff G(b)\leq G(b)\]where the latter is always true, so \(F(G(b))\leq b\) holds. For an antitone Galois connection,
\[b\leq F(G(b))\iff G(b)\leq G(b)\]so \(b\leq F(G(b))\) always holds.
Meanwhile, \(G\circ F\) and \(F\circ G\) are compositions of two increasing functions or two decreasing functions, so in either case, they must be increasing functions.
In the remainder of this article, for convenience, we will abbreviate \(G\circ F\) and \(F\circ G\) as \(GF\) and \(FG\), respectively.
Proposition 7 Let two ordered sets \(A,B\) be given with a monotone Galois connection \(F:A\rightarrow B\) and \(G:B\rightarrow A\) between them. For any \(y\in B\), \(GFG(y)=G(y)\) always holds.
If these form an antitone Galois connection, then for all \(x\in A\) and \(y\in B\), both \(GFG(y)=G(y)\) and \(FGF(x)=F(x)\) hold.
Proof
First, substituting \(a=G(y)\) into \(a\leq GF(a)\) gives \(G(y)\leq GFG(y)\). On the other hand, we have shown that \(FG\) satisfies \(FG(b)\leq b\) for all \(b\in B\), and since \(G\) is an increasing function, we also obtain \(GFG(y)\leq G(y)\). Therefore, \(GFG(y)=G(y)\) holds.
On the other hand, in the case where the pair \((F,G)\) is an antitone Galois connection, \(G(y)\leq GFG(y)\) can be shown in the same way as above. Also, since \(b\leq FG(b)\) always holds for all \(b\in B\), and \(G\) is a decreasing function, \(G(y)\geq GFG(y)\) again holds, so \(GFG(y)=G(y)\). The equality \(FGF(x)=F(x)\) is easily proved by swapping the roles of \(F\) and \(G\).
The following definition is used not only in topology but also importantly in lattice theory.
Definition 8 For an ordered set \(A\), a function \(f:A\rightarrow A\) is a closure operator if the following three conditions are all satisfied:
- For all \(x\in A\), \(x\leq f(x)\) holds.
- For all \(x\in A\), \(f(x)=f(f(x))\).
- If \(x\leq y\), then \(f(x)\leq f(y)\).
In this case, \(x\) is closed if \(f(x)=x\).
Let us fix an antitone Galois connection. From the result \(GFG(y)=G(y)\) in Proposition 7, substituting \(y=F(x)\) for any \(x\in A\) gives
\[GFGF(x)=GF(x)\]Thus the function \(GF\) satisfies all the conditions above and is therefore a closure operator. Similarly, in an antitone Galois connection, \(FG\) also becomes a closure operator.
By definition, \(x\) and \(y\) being closed with respect to \(GF\) and \(FG\) respectively means that \(GF(x)=x\) and \(FG(y)=y\) hold. From Proposition 7, we know that all elements in the images of \(F\) and \(G\) are closed. Conversely, if an arbitrary element \(x\) is closed with respect to \(GF\), then from \(GF(x)=x\) we know that \(x\) belongs to the image of \(G\), and a similar statement for \(FG\) can also be proved.
Through this process, for a Galois connection between ordered sets \(A\) and \(B\), we can construct collections \(A'\subseteq A\) and \(B'\subseteq B\) of closed subsets, and the restrictions of \(F\) and \(G\) to these collections are well-defined. Moreover, these \(F\vert_{A'}\) and \(G\vert_{B'}\) are bijections and become anti-isomorphisms. These are specifically called Galois correspondences.
References
[Bou] N. Bourbaki, Theory of Sets. Elements of mathematics. Springer Berlin-Heidelberg, 2013. [Wikipedia] Galois connection
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An upper set is also called an upward closed set, and a lower set is also called a downward closed set. ↩
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