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MORE →Reflects the personal views, recollections, and perspective of the author, Mike Davis.
This is a personal recollection on the Move fire on May 13, 1985
In the branch of mathematics known as topology, the specialization (or canonical) preorder is a natural preorder on the set of the points of a topological space. For most spaces that are considered in practice, namely for all those that satisfy the T0 separation axiom, this preorder is even a partial order (called the specialization order). On the other hand, for T1 spaces the order becomes trivial and is of little interest.
The specialization order is often considered in applications in computer science, where T0 spaces occur in denotational semantics. The specialization order is also important for identifying suitable topologies on partially ordered sets, as is done in order theory.
Consider any topological space . The specialization preorder ≤ on relates two points of when one lies in the closure of the other. However, various authors disagree on which 'direction' the order should go. What is agreed[citation needed] is that if
(where denotes the closure of the singleton set , i.e., the intersection of all closed sets containing ), we say that is a specialization of and that is a generalization of ; this is commonly written or The notation is consistent with the fact that if and only if the constant sequence with constant value converges to in (in the sense that every neighbourhood of contains ).
Unfortunately, the property " is a specialization of " is alternatively written as and as by various authors (see, respectively,[1] and [2]).
Both definitions have intuitive justifications: in the case of the former, we have
However, in the case where our space is the prime spectrum of a commutative ring (which is the motivational situation in applications related to algebraic geometry), then under our second definition of the order, we have
For the sake of consistency, for the remainder of this article we will take the first definition, that " is a specialization of " be written as . We then see that
These restatements help to explain why one speaks of a "specialization": is more general than since it is contained in more open sets. This is particularly intuitive if one views closed sets as properties that a point may or may not have. The more closed sets contain a point, the more properties the point has, and the more special it is. The usage is consistent with the classical logical notions of genus and species; and also with the traditional use of generic points in algebraic geometry, in which closed points are the most specific, while a generic point of a space is one contained in every nonempty open subset. Specialization as an idea is applied also in valuation theory.
The intuition of upper elements being more specific is typically found in domain theory, a branch of order theory that has ample applications in computer science.
Let X be a topological space and let ≤ be the specialization preorder on X. Every open set is an upper set with respect to ≤ and every closed set is a lower set. The converses are not generally true. In fact, a topological space is an Alexandrov-discrete space if and only if every upper set is also open (or equivalently every lower set is also closed).
Let A be a subset of X. The smallest upper set containing A is denoted ↑A and the smallest lower set containing A is denoted ↓A. In case A = {x} is a singleton one uses the notation ↑x and ↓x. For x ∈ X one has:
The lower set ↓x is always closed; however, the upper set ↑x need not be open or closed. The closed points of a topological space X are precisely the minimal elements of X with respect to ≤.
As suggested by the name, the specialization preorder is a preorder, i.e. it is reflexive and transitive.
The equivalence relation determined by the specialization preorder is just that of topological indistinguishability. That is, x and y are topologically indistinguishable if and only if x ≤ y and y ≤ x. Therefore, the antisymmetry of ≤ is precisely the T0 separation axiom: if x and y are indistinguishable then x = y. In this case it is justified to speak of the specialization order.
On the other hand, the symmetry of the specialization preorder is equivalent to the R0 separation axiom: x ≤ y if and only if x and y are topologically indistinguishable. It follows that if the underlying topology is T1, then the specialization preorder is discrete, i.e. one has x ≤ y if and only if x = y. Hence, the specialization preorder is of little interest for T1 topologies, especially for all Hausdorff spaces.
Any continuous function between two topological spaces is monotone with respect to the specialization preorders of these spaces: implies The converse, however, is not true in general. In the language of category theory, we then have a functor from the category of topological spaces to the category of preordered sets that assigns a topological space its specialization preorder. This functor has a left adjoint, which places the Alexandrov topology on a preordered set.
There are spaces that are more specific than T0 spaces for which this order is interesting: the sober spaces. Their relationship to the specialization order is more subtle:
For any sober space X with specialization order ≤, we have
One may describe the second property by saying that open sets are inaccessible by directed suprema. A topology is order consistent with respect to a certain order ≤ if it induces ≤ as its specialization order and it has the above property of inaccessibility with respect to (existing) suprema of directed sets in ≤.
The specialization order yields a tool to obtain a preorder from every topology. It is natural to ask for the converse too: Is every preorder obtained as a specialization preorder of some topology?
Indeed, the answer to this question is positive and there are in general many topologies on a set X that induce a given order ≤ as their specialization order. The Alexandroff topology of the order ≤ plays a special role: it is the finest topology that induces ≤. The other extreme, the coarsest topology that induces ≤, is the upper topology, the least topology within which all complements of sets ↓x (for some x in X) are open.
There are also interesting topologies in between these two extremes. The finest sober topology that is order consistent in the above sense for a given order ≤ is the Scott topology. The upper topology however is still the coarsest sober order-consistent topology. In fact, its open sets are even inaccessible by any suprema. Hence any sober space with specialization order ≤ is finer than the upper topology and coarser than the Scott topology. Yet, such a space may fail to exist, that is, there exist partial orders for which there is no sober order-consistent topology. Especially, the Scott topology is not necessarily sober.
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In the branch of mathematics known as topology, the specialization (or canonical) preorder is a natural preorder on the set of the points of a topological space. For most spaces that are considered in practice, namely for all those that satisfy the T0 separation axiom, this preorder is even a partial order (called the specialization order). On the other hand, for T1 spaces the order becomes trivial and is of little interest. The specialization order is often considered in applications in computer science, where T0 spaces occur in denotational semantics. The specialization order is also important for identifying suitable topologies on partially ordered sets, as is done in order theory.
In topology and related branches of mathematics, a topological space X is a T0 space or Kolmogorov space (named after Andrey Kolmogorov) if for every pair of distinct points of X, at least one of them has a neighborhood not containing the other. In a T0 space, all points are topologically distinguishable. This condition, called the T0 condition, is the weakest of the separation axioms. Nearly all topological spaces normally studied in mathematics are T0 spaces. In particular, all T1 spaces, i.e., all spaces in which for every pair of distinct points, each has a neighborhood not containing the other, are T0 spaces. This includes all T2 (or Hausdorff) spaces, i.e., all topological spaces in which distinct points have disjoint neighbourhoods. In another direction, every sober space (which may not be T1) is T0; this includes the underlying topological space of any scheme. Given any topological space one can construct a T0 space by identifying topologically indistinguishable points. T0 spaces that are not T1 spaces are exactly those spaces for which the specialization preorder is a nontrivial partial order. Such spaces naturally occur in computer science, specifically in denotational semantics.
In mathematics, the upper topology on a partially ordered set X is the coarsest topology in which the closure of a singleton { a } {\displaystyle \{a\}} is the order section a ] = { x ≤ a } {\displaystyle a]=\{x\leq a\}} for each a ∈ X . {\displaystyle a\in X.} If ≤ {\displaystyle \leq } is a partial order, the upper topology is the least order consistent topology in which all open sets are up-sets. However, not all up-sets must necessarily be open sets. The lower topology induced by the preorder is defined similarly in terms of the down-sets. The preorder inducing the upper topology is its specialization preorder, but the specialization preorder of the lower topology is opposite to the inducing preorder. The real upper topology is most naturally defined on the upper-extended real line ( − ∞ , + ∞ ] = R ∪ { + ∞ } {\displaystyle (-\infty ,+\infty ]=\mathbb {R} \cup \{+\infty \}} by the system { ( a , + ∞ ] : a ∈ R ∪ { ± ∞ } } {\displaystyle \{(a,+\infty ]:a\in \mathbb {R} \cup \{\pm \infty \}\}} of open sets. Similarly, the real lower topology { [ − ∞ , a ) : a ∈ R ∪ { ± ∞ } } {\displaystyle \{[-\infty ,a):a\in \mathbb {R} \cup \{\pm \infty \}\}} is naturally defined on the lower real line [ − ∞ , + ∞ ) = R ∪ { − ∞ } . {\displaystyle [-\infty ,+\infty )=\mathbb {R} \cup \{-\infty \}.} A real function on a topological space is upper semi-continuous if and only if it is lower-continuous, i.e. is continuous with respect to the lower topology on the lower-extended line [ − ∞ , + ∞ ) . {\displaystyle {[-\infty ,+\infty )}.} Similarly, a function into the upper real line is lower semi-continuous if and only if it is upper-continuous, i.e. is continuous with respect to the upper topology on ( − ∞ , + ∞ ] . {\displaystyle {(-\infty ,+\infty ]}.}
In mathematics, in particular in order theory, a preorder or quasiorder is a binary relation that is reflexive and transitive. The name preorder is meant to suggest that preorders are almost partial orders, but not quite, as they are not necessarily antisymmetric. A natural example of a preorder is the divides relation "x divides y" between integers. This relation is reflexive as every integer divides itself. It is also transitive. But it is not antisymmetric, because e.g. 1 {\displaystyle 1} divides − 1 {\displaystyle -1} and − 1 {\displaystyle -1} divides 1 {\displaystyle 1} , but − 1 {\displaystyle -1} is not equal to 1 {\displaystyle 1} . It is to this preorder that "least" refers in the phrase "least common multiple" (in contrast, using the natural order on integers, e.g. 4 {\displaystyle 4} and 6 {\displaystyle 6} have the common multiples 24 {\displaystyle 24} , 12 {\displaystyle 12} , 0 {\displaystyle 0} , − 12 {\displaystyle -12} , − 24 {\displaystyle -24} , ..., but no least one). Preorders are closely related to equivalence relations and (non-strict) partial orders. Both of these are special cases of a preorder: an antisymmetric preorder is a partial order, and a symmetric preorder is an equivalence relation. Moreover, a preorder on a set X {\displaystyle X} can equivalently be defined as an equivalence relation on X {\displaystyle X} , together with a partial order on the set of equivalence class, cf. picture. Like partial orders and equivalence relations, preorders (on a nonempty set) are never asymmetric. A preorder can be visualized as a directed graph, with elements of the set corresponding to vertices, and the order relation between pairs of elements corresponding to the directed edges between vertices. The converse is not true: most directed graphs are neither reflexive nor transitive. A preorder that is antisymmetric no longer has cycles; it is a partial order, and corresponds to a directed acyclic graph. A preorder that is symmetric is an equivalence relation; it can be thought of as having lost the direction markers on the edges of the graph. In general, a preorder's corresponding directed graph may have many disconnected components. A preorder is often denoted ≲ {\displaystyle \,\lesssim \,} or ≤ {\displaystyle \,\leq \,} .
Before the 1921 destruction of Tulsa’s Greenwood District, Black residents had created a remarkable center of business and community life. The district included stores, professional offices, entertainment venues and homes owned by Black citizens. Understanding Greenwood means learning what was built—not only what was burned.
MORE →Shirley Chisholm, elected in 1968.