# MA651 Topology. Lecture 6. Separation Axioms.

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1 MA651 Topology. Lecture 6. Separation Axioms. This text is based on the following books: Fundamental concepts of topology by Peter O Neil Elements of Mathematics: General Topology by Nicolas Bourbaki Counterexamples in Topology by Lynn A. Steen and J. Arthur Seebach, Jr. Topology by James Dugundgji I have intentionally made several mistakes in this text. The first homework assignment is to find them. 6 Separation Axioms. So far, our only requirements for a topology has been that it satisfy the axioms. From now on, we will impose increasingly more severe additional conditions on it. With each new condition, we will determine the invariance properties of the resulting topology: by this we mean: Whether the topology is invariant under open or closed maps rather than only homeomorphisms. Whether the additional properties are inherited by each subspace topology. Whether the additional properties are transmitted to cartesian products. In this lecture we will require of a topology that it separate varying types of subsets. The separation axioms T i stipulate the degree to which distinct points or closed sets may be separated by open sets. These axioms are statements about the richness of topology. They answer questions like, Are there enough open sets to tell points apart? and Are there enough open sets to tell points from closed sets?. Definition 6.1. (T i axioms). Let (X, T ) be a topological space. 1

2 T 0 axiom : If a, b are two distinct elements in X, there exists an open set U T such that either a U and b U, or b U and a U (i.e. U containing exactly one of these points). T 1 axiom : If a, b X and a b, there exist open sets U a, U b T containing a, b respectively, such that b U a, and a U b. T 2 axiom : If a, b X, a b, there exist disjoint open sets U a, U b T containing a, b respectively. T axiom : If A is a closed set and b is a point in X such that b A, there exist disjoint open sets U A, U b T containing A and b respectively. T 4 axiom : If A and B are disjoint closed sets in X, there exist disjoint open sets U A, U B containing A and B respectively. T T 5 axiom : If A and B are separated sets in X, there exist disjoint open sets U A, U B T containing A and B respectively. If (X, T ) satisfies a T i axiom, X is called a T i space. A T 0 space is sometimes called a Kolmogorov space and a T 1 space, a Fréchet space. A T 2 is called a Hausdorff space. Each of axioms in Definition (6.1) is independent of the axioms for a topological space; in fact there exist examples of topological spaces which fail to satisfy any T i. But they are not independent of each other, for instance, axiom T 2 implies axiom T 1, and axiom T 1 implies T 0. More importantly than the separation axioms themselves is the fact that they can be employed to define successively stronger properties. To this end, we note that if a space is both T and T 0 it is T 2, while a space that is both T 4 and T 1 must be T. The former spaces are called regular, and the later normal. Specifically a space X is said to be regular if and only if it is both a T 0 and a T space; to be normal if and only if it is both a T 1 and T 4 space; to be completely normal if and only if it is both a T 1 and a T 5 space. Then we have the following implications: Completely normal Normal Regular Hausdorff T 1 T 0 The use of terms regular and normal is not uniform throughout the literature. While some authors use these terms interchangeably with T space and T 4 space respectively, others (especially in Russian textbooks) refer to our T space as a regular space and vice versa, and similarly permute T 4 space and normal. This allows the successively stronger properties to correspond to increasing T i axioms. Example 6.1. An antidiscrete space X containing more than one point does not satisfy to axiom T 0. 2

3 Example 6.2. Sierpinski space, X = {0, 1} and T = {Ø, {0}, {0, 1}}, satisfies the axiom T 0, but does not satisfy T 1 : there does not exist an open set U containing the point 1 and not containing the point 0. Example 6.. This example is important for algebraic geometry. Let A be a commutative ring (i.e. A has two binary operations, such that addition makes A a commutative group (i.e. a set with a binary associative and commutative operation such that the operation admits an identity element and each element of the set has an inverse element for the operation.) and multiplication is associative and distributes over addition and the commutative law also holds for multiplication (a b = b a.) with a unit and X the set of all prime ideals of A (i.e. such ideals which have the following two properties: whenever a, b are two elements of A such that their product a b lies in the prime ideal P, then a is in P or b is in P, and at the same time P is not equal to the whole ring A). For any a A, let X a denote the set of all prime ideals in A which do not contain a. It is clear that X a X b = X ab for all a, b X, X 0 = Ø and X 1 = X. Consequently, the collection B = {X a a A} is a base of a topology T on A. This topology is called the spectral or Zariski topology. The topological space (X, T ) is called the prime spectrum of the ring A and is denoted Spect(A). The closure of a one point set {x} in Spec(A) consists of all prime ideals y X =Spec(A) containing x. It follows that the space (X, T ) satisfies the separation axiom T 0, but not T 1, since the only closed points in X are the maximal ideals of the ring A. Example 6.4. Let X be an infinite set and let the topology T consist of the empty set and all subsets of X whose complements are finite. Any two nonempty open sets in this set intersect. At the same time all one point sets in (X, T ) are closed. Hence the space (X, T ) satisfies axiom T 1 but nit axiom T 2. 7 Hausdorff Spaces. Theorem 7.1. Let (X, T ) be a topological space. Then the following statements are equivalent: 1. (T 2 axiom). Any two distinct points of X have disjoint neighborhoods. 2. The intersection of the closed neighborhoods of any point of X consists of that point alone.. The diagonal of the product space X X is a closed set. 4. For every set I, the diagonal of the product space Y + X I is closed in Y. 5. No filter on X has more than one limit point. 6. If a filter F on X converges to x, then x is the only cluster point of F.

4 Proof. We will proof the implications: (1) (2) (6) (5) (1) (1) (4) () (1) (1) (2) : If x y there is an open neighborhood U of x and an open neighborhood V of y such that U V = Ø; hence y Ū. (2) (6) : Let x y; then there is a closed neighborhood V of x such that y V, and by hypothesis there exists M F such that M V ; thus M CV = Ø. But CV is a neighborhood of y; hence y is not a cluster point of F. (6) (5) : Clear, since every limit point of a filter is also a cluster point. (5) (1) : Suppose x y and that every neighborhood V of x meets every neighborhood W of y. Then the sets V W form a basis of a filter which has both x and y as limits points, which is contrary to hypothesis. (1) (4) : Let (x) = (x i ) be a point of X I which does not belong to the diagonal. Then there are at least two indices λ, µ such that x λ x µ. Let V λ (respectively V µ ) be a neighborhood of x λ (respectively x µ ) in X, such that V λ V µ = Ø; then the set W = V λ V µ (where X i = X if i λ, µ) is a neighborhood of x in X I which does not meet. Hence is closed in X I. (4) () : Obvious. () (1) : If x y then (x, y) X X is not in the diagonal, hence there is a neighborhood V of x and a neighborhood W of y in X such that (V W ) = Ø, which means that V W = Ø. i λ,µ X i Let f : X Y be a mapping of a set X into a Hausdorff space Y ; then it follows immediately from Theorem (7.1) that f has at most one limit with respect to a filter F on X, and that if f has y as a limit with respect to F, then y is the only cluster point of f with respect to F. Proposition 7.1. let f, g be two continuous mappings of a topological space X into a Hausdorff space Y ; then the set of all x X such that f(x) = g(x) is closed in X. Proof is left as a homework. Corollary 7.1. (Principle of extension of identities). Let f, g be two continuous mappings of a topological space X into a Hausdorff space Y. If f(x) = g(x) at all points of a dense subset of X, then f = g. 4

5 In other words, a continuous map of X into Y (Hausdorff) is uniquely determined by its values at all points of a dense subset of X. Corollary 7.2. If f is a continuous mapping of a topological space X into a Hausdorff space Y, then the graph of f is closed in X Y For this graph is the set of all (x, y) X Y such that f(x) = y, and the two mappings (x, y) y and (x, y) f(x) are continuous. The invariance properties of Hausdorff topologies are: Theorem Hausdorff topologies are invariant under closed bijections. 2. Each subspace of a Hausdorff space is also a Hausdorff space.. The cartesian product {X α α A } is Hausdorff if and only if each X α is Hausdorff. Proof. 1. Since a closed bijection is also an open map, the images of disjoint neighborhoods are disjoint neighborhoods, and the result follows. 2. Let A X and p, q A; since there are disjoint neighborhoods U(p), U(q) in X, the neighborhoods U(p) A and U(q) A in A are also disjoint.. Assume that each X α is Hausdorff and that {p α } {q α }; then p α q α for some α, so choosing the disjoint neighborhoods U(p α ), U(q α ) gives the required disjoint neighborhoods U(p α ), U(q α ) in X α. Conversely, if X α is Hausdorff, then each X α is homeomorphic α α to some slice in α X α, so by (2) (since the Hausdorff property is a topological invariant), X α is Hausdorff. Proposition 7.2. If every point of a topological space X has a closed neighborhood which is a Hausdorff subspace of X, then X is Hausdorff. Proof is left as a homework. 5

6 8 Regular Spaces. The Hausdorff separation axiom (Theorem (7.1)) was introduced to insure uniqueness of limits (and, in fact, is equivalent to it). Certain problems, however, require stronger separation axioms if one to have any hope of success. The problem of existence of continuous extension is typical of this. Suppose A is a subspace of X, and f is continuous on A to Y. Can f be extended continuously to some g : X Y? This is among the most difficult and interesting problems in topology. In general, the answer is no, even when the spaces are Hausdorff ( for example, X = R with Euclidean topology, A = {x x < 0} and f(x) = 1/x for x A. However, with a slightly stronger separation axiom on Y, reasonable conditions assuring a positive solution is possible. This result is Theorem (8.1), and may be thought as the motivation for considering the regularity. Proposition 8.1. The following properties of a topological space X are equivalent: Proof. 1 The set of closed neighborhoods of any point of X is a fundamental system of neighborhoods of the point. 2 (T axiom). Given any closed subset F of X and any point x F there is a neighborhood of x and a neighborhood of F which do not intersect. 1 2 : If F is closed and x F, then there is a closed neighborhood V of x contained in the neighborhood CF of x; V and CV are neighborhoods of x and F respectively, and have no point in common. 2 1 : If W is an open neighborhood of x X, then there is a neighborhood U of x and a neighborhood V of CW which are disjoint, and therefore Ū W. Definition 8.1. A topological space is said to be regular if it is Hausdorff and satisfies axiom T ; its topology is then said to be regular. Remarks: 1 We can say than that the space is T 0 instead of Hausdorff in Definition (8.1). 2 A regular space is distinguished by its ability to separate closed sets from points. This is stronger than the T 2 separation axiom, and on the face seems to imply T 2 axiom by choosing A = {y}, where y x. This reasoning is correct if singletons are always closed in X, but 6

7 this not need to be the case. However, in spaces where {y} is closed for each point y, then of course only T is needed in the definition of regularity. The reason of including T 2 (or T 0 ) in definition (8.1) are to insure the uniqueness of limits. Example 8.1. E n, and, more generally, any metric space is regular. Example 8.2. Discrete spaces are regular. Example 8.. A Hausdorff space need not be regular. Let R be the set of real numbers, T the usual Euclidean topology on R, Q the set of rationals, and T the topology on R generated by Q and the sets in T. Then T T, so (R, T ) is a Hausdorff space. But (R, T ) is not regular. Note that the T -open sets are Q (Q intersect T -open sets) and (T -open sets) (Q intersect T -open sets). Choose any rational number, say 0. Then, 0 R Q. If (R, T ) were regular, there would be disjoint T -open U and V with R Q U and 0 V. Now, for some T -open A and B, U = A (Q B). And since each T -open set intersects R Q, then for some T -open C, V = Q C. Let ε > 0 such that Q ] ε, ε[ Q C. Choose an irrational number ξ ] ε, ε[. Then, ξ R Q A T. Since A is T -open, there is some δ > 0 with ]ξ δ, ξ + δ[ ] ε, ε[ A. Choose a rational number r in ]ε δ, ε + δ[. Then, r A U, and also r Q ] ε, ε[ V. Then, U V Ø, a contradiction. Proposition 8.2. Every subspace of a regular space is regular. Proof. Let A be a subspace of a regular space X. Since X is Hausdorff so is A; on the other hand, every neighborhood of a point x A with respect to A is of the form V A, where V is a neighborhood of x in X. Since X is regular there is a neighborhood W of x in X which is closed in X and contained in V ; W A is then a neighborhood of x in A, closed in A and contained in V A. Hence the result. The converse statement is also true: Proposition 8.. If every point x of a topological space X has a closed neighborhood which is a regular subspace of X, then X is regular. Proof is left as a homework. Theorem 8.1. Let X be a topological space, A a dense subset of X, f : A Y a mapping of A into a regular space Y. A necessary and sufficient condition for f to extend to a continuous mapping f : X Y is that. for each x X, f(y) tends to a limit in Y when y tends to x while remaining in A. The continuous extension f of f to X is then unique. 7

8 Proof. The uniqueness of f follows from the principle of extension of identities (7.1). It is clear that the condition is necessary, for if f is continuous on X, then for each x X we have f(x) = lim y x, y A f(y) = lim f(y) y x, y A Conversely, suppose that the condition is satisfied and define f = lim f(y) y x, y A for each x X; f(x) is a well-defined element of Y, since Y is Hausdorff. We have to show that f is continuous at each point x X. let then V be a closed neighborhood of f(x) in Y ; then by hypothesis there is an open neighborhood V of x in X such that f(v A) V. Since V is a neighborhood of each of its points, we have f(z) = lim f(y) y x, y V A for each z V, and from this it follows that f(z) f(v A) V, since V is closed. The result now follows from the fact that the closed neighborhoods of f(x) form a fundamental system of neighborhoods of f(x) in Y. The mapping f is said to be obtained by extending f by continuity to X. It important to notice that the statement of Theorem (8.1) the hypothesis that Y is regular cannot be weakened without imposing additional restrictions on X, A or f. 9 Normal Spaces. We have seen how certain problems give rice to separation axioms of varying strength. The T axiom enables us to prove a reasonable theorem of continuous extensions. In similar fashion, normal spaces were devised to treat questions concerning continuous functions which were found to lie beyond the scope of regular spaces. This type of separation is stronger than regularity and is given by Definition 9.1. A Hausdorff space is normal if each pair of disjoint closed sets have disjoint open neighborhoods; its topology is then said to be normal. Example 9.1. Any metrizable space X is normal (for instance E n ). Let ρ be a metric generating the topology on X, and let A and B be disjoint, nonempty closed subsets of X. For x A and y B we set V x = O εx (x) = {z X : ρ(x, z) < ε x } where ε x = ρ(x, B)/ > 0 and U y = O εy (y) = {z X : ρ(y, z) < ε y }, where ε y = ρ(y, A)/ > 0. The sets V = {V x : x A} and U = {U y : y B} are disjoint neighborhoods of the sets A and B respectively. This follows from the triangle axiom. 8

9 Definition (9.1) has several equivalent formulations: Proposition X is normal. 2. For each closed A and open U A there is an open V with A V V U.. For each pair of disjoint closed sets A, B, there is an open U with A U and Ū B = Ø. 4. Each pair of disjoint closed sets have neighborhoods whose closures do not intersect. Proof is left as a homework. In the invariance properties, we meet a situation different from those met before. For instance, a subspace of a normal space can fail to be normal; that is axiom T 4 is not inherited be subspaces. This is one of the main inconveniences in dealing with the class of normal spaces. The following theorem summarize invariance properties of normal spaces: Theorem Normality is invariant under continuous closed surjections. 2. A subspace of a normal space need not be normal. However, a closed subspace is normal.. The cartesian product of normal spaces need not be normal. However, if the product is normal, each factor must be normal. Proof. 1. Let Y be normal and p : Y Z be closed and continuous. Given disjoint closed A, B in Z, the normality of Y gives disjoint open sets with p 1 (A) U, p 1 (B) V. Because p is closed, Theorem (26.1) assures that there exist open U A A, V B B such that p 1 (U A ) U, p 1 (V B ) V and U A, V B are evidently the required disjoint neighborhoods of A and B. 2. An example of a non-normal subspace of a normal space will be considered later (in a lecture about compactness). The second assertion is immediate from the observation that a set closed in a closed subspace is also closed in the entire space.. The example of the first assertion (i.e. the cartesian product of normal spaces need not be normal) will be given later. The second statement follows from (2) and (1) (similarly to Theorem (7.2) ()). 9

10 40 Urysohn s characterization of normality. We now turn to the reason for considering the T 4 separation axiom. Normal spaces came to the attention of Urysohn in the 1920 s in connection with the following question: given the space (X, T ), are there enough real-valued continuous functions on X?. The word enough is purposely vague, but at the very last we would like a guarantee of the existence of some non-constant continuous function from X to E 1. The T axiom does not provide such a guarantee. Urysohn was able to show that the T 4 axiom does. More specifically, with each pair of disjoint, closed subsets of any normal space, Urysohn was able to associate a continuous function f : X [0, 1] which separates A and B in the sense that f maps A to 0 and B to 1. It also turns out that, conversely, the existence of an Urysohn function for each pair of disjoint closed sets insures normality of the space. The proof of Urysohn s Lemma is fairly deep, as might be expected of one fundamental results of set topology. We precede it by Lemma (40.1) which handles some of the more technical details. In proving Lemma (40.1) we make use of the easily established fact that, if 0 x < y 1, then dyadic numbers (i.e., of the form m/2 m ) d and d can be found such that x d < d y. Lemma Let (X, T ) be a normal topological space. Let A and B be disjoint T -closed sets. Then, there is a set {U t 0 t 1} of T -open sets such that: 1. A U U 1 B = Ø.. If 0 x < y 1, then Ūx U y. Proof. Define U 1 = X B. Then, A U 1, and U 1 is T -open and U 1 B = Ø. By Proposition (9.1), there is some T -open set U 0 such that A U 0 Ū0 U 1. We now proceed to fill in U t when 0 < t < 1. We first work with t dyadic, proceeding by induction. Suppose n is a non-negative integer, and that the sets U k/2 n have been defined for integers k, 0 k 2 n 1 (note that U 0 and U 1 have already been defined). Thus, Ū j/2 n U i/2 n for 0 j < i 2 n 1. We must define the sets U i/2 n+1, 0 i 2 n+1 1. Note first that we need only consider odd values of i. If i is even. say i = 2j, then 0 j 2 n 1 and i/2 n+1 = j/2 n, and U j/2 n has already been defined by the inductive hypothesis. 10

11 Suppose then that i is odd, say i = 2k n+1 1, for some k, 0 k 2 n 1. Then, again, by Proposition (9.1), since Ūk/2 n U (k+a)/2n, there is some T -open set V such that Ū k/2 n V V U (k+1)/2 n. Let U (2k+1)/2 n+1 = V. This defines U i/2 n+1 for all i, 0 i 2 n+1 1. By induction, the sets U d are now defined for all dyadic d. Now let t be any number in [0, 1]. Define U t = d t U d the union being over all dyadics d in [0, 1] with d t. If t is dyadic, then this definition agrees with that arrived at by induction. Finally, suppose that 0 x < y 1. Then there are dyadic numbers i/2 n and j/2 m with x j/2 m < i/2 n y. Now, U i/2 n U y by definition of U y. Further, for all dyadic d with 0 d x, we have d j/2 m, so U d U j/2 m, hence U x U j/2 m. Then and the Lemma is proved. Ū x Ūj/2 m U j/2 n U y, We now prove the main theorem, which traditionally is known as Urysohn s Lemma. It is understood in the proof that [0, 1] is considered as a subspace of Euclidean space E 1. Theorem (Urysohn s Lemma). Let (X, T ) be a Hausdorff topological space. Then the following are equivalent: 1. (X, T ) is normal. 2. If A and B are disjoint non-empty T -closed sets, then there exists a continuous f : X E 1, called a Urysohn function for A, B, such that: (a) 0 f(x) 1 for all x X (b) f(a) = 0 for all a A (c) f(b) = 1 for all b B Proof. (2) (1) : If A and B are non-empty, disjoint, T -closed subsets of X, then produce by (2) an Urysohn function f and note that f 1 ([0, 1[) and f 1 (] 1, 1]) are disjoint, T -neighborhoods of A and 2 2 B respectively. 11

12 (1) (2) : Assume (1). Let A and B be non-empty, disjoint, T -closed sets. Let the T -open sets U t, 0 t 1, be as given by Lemma (40.1). If x X, define: f(x) = { 1 if x U1 inf{t x U t } if x U 1 Immediately, f : X [0, 1]. If x B, then x U 1, so f(x) = 1. If x A, then x U 0 and x U 1, so f(x) = 0. There remains to show that f is continuous. Let x X and let ε > 0. Consider three cases: i) f(x) = 0 We may assume without loss of generality that ε < 1. Then, f(y) f(x) = f(y) = f(y) ε/2 < ε for y U ε/2. ii) f(x) = 1 Again, we may assume that ε < 1. If y X Ū1 ε/2, then y U j for j 1 ε/2. Then, f(y) 1 ε/2, so 1 f(y) = f(x) f(y) ε/2 < ε iii) 0 < f(x) < 1 We may assume that ε f(x) and f(x) + ε 1. Let y U f(x)+ε/2 (X Ūf(x) ε/2). Since y U f(x)+ε/2, then y B, and f(y) f(x) + ε/2 < f(x) + ε, so f(y) f(x) < ε. But also y X Ūf(x) ε/2, so y Ūj for 0 j f(x) ε/2. Then, (y) f(x) ε/2 > f(x) ε, so f(y) f(x) > ε. Then, ε < f(y) f(x) < ε, so f(y) f(x) < ε. By cases i) through iii), f is continuous at x X, hence f is continuous. Remarks: 1. The pair 0 and 1 can be obviously replaced by any (not necessary nonnegative) pair α < β, since the continuity of f implies that of α + (β α)f. 2. The Urysohn function f in Theorem (40.1) evidently satisfies A f 1 (0). The theorem does not assert that A = f 1 (0); in fact, this is possible only for certain types of closed sets. This problem we will consider later. 12

13 41 Tietze s characterization of normality. The very strong connection between the T 4 separation axiom and real continuous functions on X, suggested by Urysohn s Lemma, is very clearly revealed by the next theorem, which should be compared with Theorem (8.1). Theorem (41.1) says that normality is sufficient for the existence of a continuous extension of any real-valued function continuous on any closed subspace. The converse is also true, so that normality is just the right condition for treating the extension problem on closed subspaces. Theorem (41.1) is often known as Tietze s Extension Theorem, although there is some confusion about assigning credit here. Historically, Tietze seems to have been the first to define normality, in 192. Urysohn s Lemma clarified its role in the theory of continuous functions. Tietze proved his extension theorem for metric spaces, which of course are normal, but it was Urysohn who generalized the result to arbitrary normal spaces. Thus Bourbaki refers to Theorem (41.1) as a theorem of Urysohn, and Dugundji as Tietze s Theorem. Alexandroff calls it Brouwer-Urysohn Theorem, and Stone the Lebesgue-Urysohn Theorem. It would appear to be fair to credit Tietze with the first proof for a wide class of spaces (metric spaces), and Urysohn with the proof of the general statement. In the course of the proof, we shall use the Cauchy criterion for the convergence of real sequences, and also the fact that lim S n+k S n = L S n for any real sequence S if lim S n = L. Preliminary k n Lemma (41.1) will absorb some if the technical details. In Lemma (41.1) and Theorem (41.1), all intervals [a, b] are considered as subspaces of E 1. Lemma Let (X, T ) be a normal space. Let F be a T -closed subset of X and let f : F [ 1, 1] be continuous. Then, there is a continuous g : X [ 1, 1 ] such that g(x) f(x) 2 for each x F. Proof. Let A = f 1 ([ 1, 1]) and B = f 1 ([ 1, 1]). Since f is continuous, A and B are T -closed. Since A B = Ø and T is normal, there is by Urysohn s Lemma some continuous h : X [0, 1] such that h(a) = {0} and h(b) = {1}. Let t(x) = 2x 1, for 0 x 1. This defines an homeomorphism t : [0, 1] [ 1, 1]. Let g = t h. Then, g : X [ 1, 1 ] is continuous. If x A, then g(x) = t(h(x)) = t(0) = 1. Since f(x) [ 1, 1], then f(x) g(x) 2. If x B, then g(x) = t(1) = 1. Since f(x) [ 1, 1], then f(x) g(x) 2. Finally, if x F (A B), then 1 < f(x) < 1, so g(x) f(x) 2. Theorem (Tietze-Urysohn) Let (X, T ) be a Hausdorff space. equivalent: Then the following are 1

14 1. T is normal. 2. If A is T -closed and f : A E 1 is continuous, then, there is a continuous F : X E 1 such that F A = f. Proof. (2) (1) : Assume (2). Suppose that A and B are disjoint T -closed sets. Define f : A B E 1 by: { 0 if x A f(x) = 1 if x B Then f is easily seen to be continuous. By (2) produce a continuous extension F of f to X. Then, F 1 (] 1, 1[) and F 1 (] 1, 2[) are disjoint T -open neighborhoods of A and B respectively. Hence T is 2 2 normal. (2) (1) : Assume (1). Let A be T -closed. Suppose f : A E 1 is continuous. We consider two cases and proceed in steps. Case 1. f is bounded. Then for some M > 0, f(x) M for each x A. We may assume without loss of generality that f : A [ 1, 1]. For, (1/M)f(x) 1 for each x A, and it is immediate that MF is a continuous extension of f if F is a continuous extension of (1/M)f. Thus, suppose that f : A [ 1, 1]. i) If n is a non-negative integer, then there is a continuous F n : X [ 1 + ( 2 )n+1, 1 ( 2 )n+1 ] such that F n (x) f(x) ( 2 )n+1 for each x A and, if K is a positive integer, F m (x) F n (x) 2( 2 )K+1 for m, n K. We produce the functions F n by an inductive construction. By Lemma (41.1), there is a continuous F 0 : X [ 1, 1] such that F 0 f(x) 2 for each x A. Now suppose n is a non-negative integer, and F n has been defined. Let ϕ(x) = ( 2 )n+1 (f(x) F n (x)) for each x A. Then, ϕ is continuous: A [ 1, 1]. By Lemma (41.1), there is a continuous β : X [ 1, 1] such that β(x) ϕ(x) 2 for each x A. 14

15 Let F n+1 (x) = F n (x) + ( 2 )n+1 β(x) for each x X. F n+1 is continuous: X [ 1 + ( 2 )n+2, 1 ( 2 )n+2 ]. Further, if x A, then ( ) n+1 2 F n+1 (x) f(x) = F n (x) + β(x) f(x) ( ) n+1 ( ) n+1 2 = β(x) (f(x) F n (x)) 2 ( ) n+1 2 = β(x) ϕ(x) ( ) n+1 ( ) ( ) n = Finally, let x X and let n be a positive integer. By the definition of F n+1, F n+1 (x) F n (x) = ( 2 ) n+1 β(x) ( 2 ) n+1 1 = 2n+1 / n+2. By inducting we have, for r 1, Then, for m, n K, r 1 F n+r (x) F n (x) F n+j+1 (x) F n+j (x) j=0 r 1 ( ) 2 n+j+1 = 2n+1 r 1 j=0 < 2n+1 n+2 n+j+2 j=0 ( ) j 2 = n+2 j=0 ) n+1 ( 2 ( ) j 2 F m (x) F n (x) F m (x) F K (x) + F n (x) F K (x) ( ) K+1 ( ) K+1 ( ) K = 2 ii) If x X then lim n F n (x) exists, and 1 lim n F n (x) 1. Existence follows from i). Since ( 2 K+1 ) 0 as K, then {Fn (x)} n=0 is a Cauchy sequence to E 1, hence converges. Since 1 F n (x) 1 for each n, then 1 lim F n(x) 1 also. n iii) Let F (x) = lim F n (x) for each x X. n Then, F is continuous on X to [ 1, 1]. 15

16 All that requires proof is the continuity. Let x X and ε > 0. Note that F (z) F n = ( ) n+1 2 lim F (n + K) F n 2 for each n Z + and z X. K Now, if y X, then for any n Z + we have F (x) F (y) F (x) F n (x) + F n (x) F n (y) + F n (y) F (y) ( ) n+1 2 Choose n sufficiently large that 2 > ε/. Since F n is continuous, there is a T -neighborhood. V of x such that F n (x) F n (y) < ε/ if y V. Then, for each y V, F (x) F (y) < ε/ + ε/ + ε/ = ε, implying that F is continuous at x, hence continuous. iv) F A = f. Let x A and ε > 0. Then, for each n Z +, F (x) f(x) F n (x) F (x) + F n (x) f(x) F n (x) F (x) + Choose n sufficiently large that ( 2 ) n+1 < ε/2 and Fn (x) F (x) < ε/2. Then, F (x) f(x) < ε, implying F (x) = f(x). ( ) n+1 2. This completes the proof of the theorem in case 1. Case 2. f is not bounded. Define g(x) = f(x) for each x A 1+ f(x) Please try to complete the proof by filling the details of the remaining steps. v) g is continuous: A [ 1, 1]. vi) There exists a continuous G : X [ 1, 1] such that G A = g (apply case 1 to g). vii) There is a continuous h : X [0, 1] such that h(a) = 1 whenever a A and h(b) = 0 whenever G(b) = 1 or G(b) = 1. (apply Urysohn s Lemma to A and G 1 ({ 1} {1}).) viii) Let F (x) = G(x)h(x) Then F is continuous: X E 1 and F A = f. This completes 1 G(x)h(x) the proof of the theorem. 16

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