2.5 Let E◦ Denote the Set of All Interior Points of a Set E. (A) Prove That E◦ Is Always Open

2.5 Let E◦ Denote the Set of All Interior Points of a Set E. (A) Prove That E◦ Is Always Open

2.5 Let E◦ denote the set of all interior points of a set E. Rudin' Ex. 9 (a) Prove that E◦ is always open. (b) Prove that E is open if and only if E◦ = E. (c) If G ⊂ E and G is open, prove that G ⊂ E◦. (d) Prove that the complement of E◦ is the closure of the complement of E. (e) Do E and E always have the same interiors? (f) Do E and E◦ always have the same closures? Proof (a) Suppose p 2 E◦. There there exists δ > 0 such that N(p; δ) ⊂ E. By Theorem 2.19, N(p; δ) is open. So, for any point x 2 N(p; δ), there exists > 0 such that N(x; ) ⊂ N(p; δ) ⊂ E. This means that every point in N(p; δ) is an interior point of E. Hence N(p; δ) ⊂ E◦. This implies E◦ is open. (b) If E = E◦, by (a), E is open. Conversely, suppose E is open. If p 2 E, then there exists δ > 0 such that N(p; δ) ⊂ E. This means that p is an interior point, so p 2 E◦. Hence E ⊂ E◦. On the other hand, interior points are E are necessarily in E, since any neighborhood of a point contains that point. Hence E◦ ⊂ E. We conclude that E = E◦. (c) If p 2 G, since G is open, there exists a neighborhood N of p such that p 2 N ⊂ G ⊂ E. This implies that p is an interior point of E, so p 2 E◦. Thus, G ⊂ E◦. (d) Suppose p 2 (E◦)c. Then p2 = E◦, that is, p is not an interior point of E. Hence, for any neighborhood N of p, necessarily N \ Ec 6= ;, otherwise N ⊂ E that contradicts to p2 = E◦. It follows that either p 2 Ec or there exists x 2 N \ Ec, with x 6= p. Equivalently, either p 2 Ec or p 2 (Ec)0. Thus, p 2 Ec [ (Ec)0 = Ec. This concludes that (E◦)c ⊂ Ec. The other inclusion Ec ⊂ (E◦)c can be obtained exactly by reversing the above arguments. (e) In general, E◦ 6= (E)◦. For example, take E = (−1; 0) [ (0; 1) ⊂ R. Then Ec = (−1; 0) [ (0; 1), and (E)◦ = [−1; 1]. (f) In general, E 6= E◦. For example, take E = Q. Then E = R, and E◦ = ;. 2.6 Let X be an infinite set. For p 2 X and q 2 X, define Rudin's Ex. 10 1; if p 6= q, d(p; q) = 0; if p = q. Prove that this is a metric. Which subsets of the resulting metric space are open? Which are closed? Which are compact? Proof To show that d is a metric, we only need to show the triangular inequality, since the other conditions hold obviously. Let p; q; r 2 X. If p = q, then d(p; q) = 0 ≤ d(p; r) + d(r; q). If p 6= q, then d(p; q) = 1, and d(p; r) + d(r; q) ≥ 1 since p; q; r cannot all be the same element. Hence again we have d(p; q) ≤ d(p; r) + d(r; q). Thus, d is a metric. 1 We claim that every subset A of X is open. In fact, if A = ;, then it is open. If A 6= ;, for any p 2 A, the neighborhood N 1 (p) = fpg ⊂ A. Again, A is open. 2 For any set A, from A = X − (X − A), since X − A is open, so A is closed. We claim that A is compact if and only if A is a finite set. It is clear from the definition that any finite set of X is compact. On the other hand, since N 1 (p) = fpg, 2 every point is isolated. Hence an infinite set of X has no any limit point, so cannot be compact, by Theorem 2.37. 2.7 For x 2 R and y 2 R, define Rudin's Ex. 11 2 d1(x; y) = (x − y) ; p d2(x; y) = jx − yj; 2 2 d3(x; y) = jx − y j; d4(x; y) = jx − 2yj; jx − yj d (x; y) = : 5 1 + jx − yj Determine, for each of these, whether it is a metric or not. Proof For each of these we must determine whether d(x; y) > 0 for x 6= y; d(x; x) = 0 for any x 2 R; d(x; y) = d(y; x); and d(x; y) ≤ d(x; z) + d(z; y). d1 is not a metric because it does not satisfy the triangle inequality. For example, d1(0; 2) = 4 > d1(0; 1) + d1(1; 2) = 1 + 1 = 2. p d2 is a metric. d2(x; y) = jx − yj > 0 if x 6= y; and d2(x; x) = 0 for all x 2 R. p p d2(x; y) = jx − yj = jy − xj = d2(y; x). Since jx − yj ≤ jx − zj + jz − yj, we have pjx − yj ≤ pjx − zj + jz − yj ≤ pjx − zj + pjz − yj: This is the triangular inequality for d2. 2 2 d3 is not a metric, since d3(1; −2) = j1 − (−1) j = 0. d4 is not a metric, since d4(1; 1) = j1 − 2j = 1 6= 0. d5 is a metric. In fact, it is known that d(x; y) = jx − yj is a metric of R. We shall show that whenever d is a metric, then d(x; y) D(x; y) = 1 + d(x; y) is a metric. We only check the triangular inequality for D since the other conditions are easy to be verified. 2 In fact, since d(x; y) ≤ d(x; z) + d(z; y), we have d(x; y) d(x; z) + d(z; y) d(x; y) d(x; z) + d(z; y) = + − 1 + d(x; y) 1 + d(x; z) + d(z; y) 1 + d(x; y) 1 + d(x; z) + d(z; y) d(x; z) d(z; y) ≤ + 1 + d(x; z) + d(z; y) 1 + d(x; z) + d(z; y) d(x; y) − [d(x; z) + d(z; y)] + [1 + d(x; y)][1 + d(x; z) + d(z; y)] d(x; z) d(z; y) ≤ + ; 1 + d(x; z) 1 + d(z; y) that is, D(x; y) ≤ D(x; z) + D(z; y). 3.

View Full Text

Details

  • File Type
    pdf
  • Upload Time
    -
  • Content Languages
    English
  • Upload User
    Anonymous/Not logged-in
  • File Pages
    3 Page
  • File Size
    -

Download

Channel Download Status
Express Download Enable

Copyright

We respect the copyrights and intellectual property rights of all users. All uploaded documents are either original works of the uploader or authorized works of the rightful owners.

  • Not to be reproduced or distributed without explicit permission.
  • Not used for commercial purposes outside of approved use cases.
  • Not used to infringe on the rights of the original creators.
  • If you believe any content infringes your copyright, please contact us immediately.

Support

For help with questions, suggestions, or problems, please contact us