Linear distortion of Hausdorff dimension and Cantor s function
|
|
- Mervin Wells
- 5 years ago
- Views:
Transcription
1 Collect. Math. 57, 2 (2006), c 2006 Universitat de Barcelona Linear distortion of Hausdorff dimension and Cantor s function O. Dovgoshey and V. Ryazanov Institute of Applied Mathematics and Mechanics, NAS of Ukraine 74 Roze Luxemburg str., Donetsk, 834, UKRAINE aleksdov@mail.ru ryaz@iamm.ac.donetsk.ua O. Martio and M. Vuorinen Department of Mathematics and Statistics, P.O. Box 68 FIN 0004 University of Helsinki, FINLAND martio@cc.helsinki.fi vuorinen@csc.fi Received May 9, 2005 Abstract Let f be a mapping from a metric space X to a metric space Y, and let α be a positive real number. Write dim(e) and H s (E) for the Hausdorff dimension and the s-dimensional Hausdorff measure of a set E. We give sufficient conditions that the equality dim(f(e)) = α dim(e) holds for each E X. The problem is studied also for the Cantor ternary function G. It is shown that there is a subset M of the Cantor ternary set such that H s (M) =, with s = log 2/log 3 and dim(g(e)) = (log 3/log 2) dim(e), for every E M.. Statements of main results Let f be a mapping from a metric space (X, ρ) to a metric space (Y, d). It is a simple fact that if the double inequality c (ρ(x, y)) α d(f(x), f(y)) c 2 (ρ(x, y)) α (.0) Keywords: Hausdorff dimension, Cantor function. MSC2000: 28A78, 26A30. 93
2 94 Dovgoshey, Martio, Ryazanov, and Vuorinen holds for all x, y from X where α (0, ) and c and c 2 are some positive constants, then every set A X satisfies dim(f(a)) = α dim(a). We are interested in necessary and sufficient local conditions under which this equality holds for every A X. The following theorem provides conditions for this. Write ac(a) for the set of all accumulation points of a set A. Let f be a mapping from a metric space (X, ρ) to a metric space (Y, d). If x and a are the points of X and x a we put log(d(f(x), f(a))) if f(x) f(a) log(ρ(x, a)) K f (x, a) := + if f(x) = f(a) Theorem. Let f : (X, ρ) (Y, d) be a homeomorphism. Suppose that the it K f (x, a) = α(a) (0, ) (.) x a exists for every a ac(x). Then the following statements are equivalent. (i) There exists a set X 0 acx such that α(a) = α 0 (.2) for all a in ac(x)\x 0 and either dim(z) = 0 or dim(z) = for every Z X 0. (ii) For every A X the equality holds. Corollary.2 dim(f(a)) = α 0 dim(a) (.3) Let f : X Y be a homeomorphism and let dim(x) <. Suppose that the it (.) exists for every a ac(x). Then if and only if dim(f(a)) = dim(a), A X (.4) for every a ac(x)\x 0 where X 0 X is zero-dimensional. α(a) = (.5)
3 Linear distortion of Hausdorff dimension and Cantor s function 95 Remark.3 Note that, as it follows from the proof of Theorem., the equivalence (i) (ii) is also valid if (.) holds only in X\X where dim(x ) = dim(f(x )) = 0. (.6) See further consequences of Theorem. in the end of Section 2. Note also that, if f : X Y is a continuous bijection and (.) holds, then it does not follow that f is a homeomorphism. On the other hand, if f : (X, ρ) (Y, d) is a homeomorphism and for each a ac(x) we have α(a) =, then there need not exist positive constants α and c such that the inequality d(f(x), f(y)) c(ρ(x, y)) α holds for all x and y in some ball B(a, r) X; see Example 3.3. In the third part, we investigate the following problem: Let C [0, ] be the standard Cantor ternary set and let G be the Cantor function. Characterize the set of points x C such that log G(x) G(y) = log 2 y x log x y log 3. In Theorem.4 these points are characterized in terms of the spacing of 0 s and 2 s in ternary expansions. Let x be a point of the Cantor ternary set C. Then x has a triadic representation x = m= 2α m 3 m where α m {0, }. Define a sequence {R x (n)} by the rule inf{m n : α m α n, m > n} if m > n : α m α n R x (n) := 0 if m > n : α m = α n, (.7) R x (n) = (α n α n+ ), i.e. and so on. R x (n) = 2 (α n = α n+ ) & (α n+ α n+2 ) Theorem.4 Let x be a point of C. Then log G(x) G(y) = log 2 y x log x y log 3 (.8) if and only if R x (n) = 0. (.9) n n
4 96 Dovgoshey, Martio, Ryazanov, and Vuorinen This theorem and Theorem. imply the following result. Theorem.5 There exists a set M C such that H s (M) = with s = log 2/log 3 and dim(g(a)) = log 3 log 2 dim(a), for every A M. Remark.6 It is well-known that the Cantor function G satisfies the inequality G(x) G(y) 2 x y log 2/log 3 (.0) for all x and y in [0, ]. The proof can be found in [4], see also [3]. The Hausdorff dimension of the Cantor ternary set equals log 2/log 3 and, moreover, H s (C) = for s = log 2/log Linear distortion of Hausdorff dimension under mappings of metric spaces We recall the definitions of the Hausdorff dimension and the s-dimensional Hausdorff measure. Let (X, ρ) be a metric space and let diam A := sup {ρ(x, y) : x, y A} be the diameter of A X if A, diam = 0. If A E i with 0 < diame i δ for each index i I, then {E i } i I is called a δ-cover of A. If all δ-covers of A are uncountable, then H s δ(a) := for each s 0 and, in the opposite case, Hδ(A) s := inf (diam E i ) s : {E i } i N i N i I is a countable δ-cover of A for s 0. The s-dimensional Hausdorff measure of A is defined by (2.) H s (A) := δ 0 H s δ(a). (2.2) Note that the it exists because Hδ s (A) is nonincreasing function of δ and that the Hausdorff measure H s is a regular Borel measure, see e.g. [7]. The Hausdorff dimension of A is the number dim(a) such that H s (A) = { + if s < dim(a), 0 if s > dim(a). Definition 2. Let (X, ρ) be a metric space. A family B of closed balls B(a, δ) in (X, ρ) is said to fulfil the condition (V) if B(a, δ) B whenever a X and δ (0, (a)] for some (a) > 0.
5 Linear distortion of Hausdorff dimension and Cantor s function 97 Some results closely related to the next lemma can be found in [2, 2.8]. Lemma 2.2 Let A be a subset of the metric space (X, ρ) such that H s (A) = 0 for some s > 0 and let a family B of closed balls in (X, ρ) fulfil the (V ) condition. Then, for all positive numbers δ and η, there is a countable δ-cover {B i } i N B of the set A with Proof. δ 2 (diam B i ) s η. (2.3) i N It follows from (2.), (2.2) and H s (A) = 0 that for every γ > 0 there is a -cover {E() i } i N of the set A such that (d () i ) s γ 2, (2.4) i N where d () i := diam E () i. Suppose B fulfils the (V ) condition. We shall say that i N is a marked index if there is a point a () i 0 E () i 0 A for which d () i 0 < ( a () i 0 ) where is the function from Definition 2.. Let I () be the set of all marked indices. It is obvious that E () i B(a () i, d () i ) B for all i I (). Using (2.4) and we have diam B(a () i, d () i ) 2d () i, i I () (diam B(a () i, d () i )) s 2 s γ 2. (2.5) It should be observed that {B(a () i, d () i )} i I () is a δ-cover of the set { ( ) } γ /s 2 Really, if a 0 A\( It follows from (2.4) that i I () B(a () a A : (a) >. i, d () i )), then there is E () i 0 a 0 with d () i 0 (a 0 ). ( γ 2 ) /s d () i 0. Hence, ( ) γ /s (a 0 ). 2
6 98 Dovgoshey, Martio, Ryazanov, and Vuorinen Reasoning similarly we can define the sequence {I (n) } such that for each positive integer n: (diam B(a (n) i, d (n) i )) s 2 s γ 2 n, (2.6.) i I (n) B(a (n) i, d (n) i ) B and diam B(a (n) i, d (n) i ) δ for each i I (n), (2.6.2) { ( ) } γ /s a A : (a) > 2 n B(a (n) i, d (n) i ). (2.6.3) i I (n) For this purpose we take a δ 2 -cover {E(n) i } i N of A such that (diam E (n) i ) s γ 2 n. i N Now set γ := 2 s η. Then (2.6.) implies that Hence, by (2.6.2) and (2.6.3), the family (diam B (n) i, d (n) i ) s η. i I (n) { B(a (n) i, d (n) i ) : n =, 2,...; i I (n)} is a desired δ-cover of A. Proposition 2.3 Suppose that (X, ρ) and (Y, d) be metric spaces. Let β (0, ) and let f : X Y be a mapping such that inf K f (x, a) β (2.7) x a for each a ac(x). Then we have for every A X. dim(a) β dim(f(a)) (2.8) Proof. If dim(a) =, then the inequality (2.8) is trivial. Suppose that 0 dim(a) < s <. Then by the definition of the Hausdorff dimension we have H s (A) = 0. For each ε (0, β), define a family B ε of the closed balls B(a, δ) in (X, ρ) by the rule (B(a, δ) B ε ) ( x B(a, δ) : d(f(x), f(a)) (ρ(x, a)) β ε ). (2.9) It follows immediately from (2.7) that B ε fulfils the condition (V ). Hence by Lemma 2.2, for every η > 0, there is δ-cover {B i (a i, δ i )} i N B ε of A such that (diam B(a i, δ i )) s η. (2.0) i N
7 Linear distortion of Hausdorff dimension and Cantor s function 99 It follows from (2.9) that diam (f(b(a i, δ i )) 2(diam (B(a i, δ i ))) β ε. The last inequality and (2.0) imply that {f(b(a i, δ i ))} i N is a 2δ β ε -cover of f(a) and (diam f(b(a i, δ i ))) s/(β ε) 2 s/(β ε) η. Consequently that is i N H s/(β ε) (f(a)) = 0, dim(f(a)) s β ε for all ε (0, β) and every s > dim(a). Letting ε 0 and s dim(a) we have (2.8). Corollary 2.4 Suppose that (X, ρ) and (Y, d) are a metric spaces. Let 0 < β α < and let f : X Y be a homeomorphism such that β inf x a for every a ac(x). Then the inequalities hold for every A X. K f (x, a) sup K f (x, a) α (2.) x a α dim(a) dim(f(a)) dim(a) (2.2) β Proof. By Proposition 2.3 it suffices to prove the first inequality in (2.2). Since f is a homeomorphism, we have ac(y ) = f(ac(x)). Let f be the inverse map of f and let a ac (X). Applying inequality (2.) we obtain α { sup K f (x, a)} = inf K f (y, b) x a y b where b = f(a) ac(y ). Now the desired inequality follows from Proposition Proof of Theorem.. (i) (ii) Suppose that there is X 0 ac(x) such that α(a) = α 0 for every a ac(x)\x 0, and for every Z X 0 we have either dim(z) = 0 or dim(z) =. Let A be a subset of X. Then dim(a) = max{dim(a\x 0 ), dim(a X 0 )} and dim(f(a)) = max{dim(f(a\x 0 )), dim(f(a X 0 ))}.
8 200 Dovgoshey, Martio, Ryazanov, and Vuorinen Thus, by Corollary 2.4 it remains to prove that either dim(a X 0 ) = dim(f(a X 0 )) = 0 or dim(a X 0 ) = dim(f(a X 0 )) = +. To prove this we represent A X 0 in the form A X 0 = A n where A n := {a A X 0 : } n α(a) n for n =, 2,.... From this representation we get the equalities f(a X 0 ) = f(a n ), dim(a X 0 ) = dim(f(a X 0 )) = sup (dim A n ), n< sup dim(f(a n )). n< Hence dim(a X 0 ) = 0 iff n N : dim(a n ) = 0. It follows from the alternative dim(a n ) = 0 or dim(a n ) = that we have dim(a X 0 ) = iff there exists n 0 N such that dim(a n0 ) =. Consequently, the conclusion follows by Corollary 2.4. (ii) (i) Suppose that (.3) holds for every A X. Put X + 0 := {a acx : α(a) > α 0}, X 0 := {a acx : α(a) < α 0}, and X 0 := X + 0 X 0. By definition α(a) = α 0 for each a (acx)\x 0. It remains to prove that for each Z X 0. dim(z) = 0 or dim(z) = +
9 Linear distortion of Hausdorff dimension and Cantor s function 20 Suppose that for some Z X 0 Then we have or Then 0 < dim(z) <. 0 < dim(z X + 0 ) < (2.3) 0 < dim(z X0 ) <. (2.4) Consider the case (2.3) first. Set for each positive integer n X + n := { ( a ac(x) : α(a) α 0 + )} n, α 0 + n. (2.5) X + 0 and (2.3) implies that for some n 0 N = X n + 0 < dim(z X + n 0 ) <. Hence, by Corollary 2.4 and (2.5), we have dim(f(z X + n 0 )) α 0 + dim(z X n + 0 ) < dim(z X n + α 0 ). n 0 0 This contradicts (.3) with A = Z X + n 0. The case (2.4) can be proved analogously Proof of Corollary.2. In order to prove this corollary, it suffices to take α 0 =. It should be observed here that the inequality dim(x) < implies the equality dim(z) = 0 for each Z X 0. Corollary 2.7 Suppose that (X, ρ) and (Y, d) are metric spaces, and X = X X, X X =. Let α (0, ) and let ϕ : X Y be a mapping such that: 2.8. For every a ac(x ) X, dim(x ) = dim(ϕ(x )) = 0. (2.6) K x a ϕ (x, a) = α. x X 2.9. The restriction ϕ X : X ϕ(x ) is a homeomorphism. Then dim(ϕ(a)) = dim(a) (2.7) α
10 202 Dovgoshey, Martio, Ryazanov, and Vuorinen for each A X. Proof. It follows from (2.6) that dim(a) = dim(a X ) and dim(ϕ(a)) = dim(ϕ(a X )) for every A X. Consequently, it suffices to prove (2.7) for A X. For this purpose we can use Theorem. with X = X, Y = ϕ(x ), X 0 = and f equals ϕ X : X ϕ(x ). Corollary 2.0 Suppose that all the conditions of Corollary 2.7 hold with an exception of 2.9. If X can be represented in the form X = Xj such that ϕ X : X j j ϕ(x j ) is a j N homeomorphism for every j N, then equality (2.7) holds for every A X. Proof. Reasoning as in the proof of Corollary 2.7 we can easily show that dim(ϕ(a)) = sup(dim(ϕ(a Xj ))) = j N α sup (dim(a Xj )) = j N α dim(a). Corollary 2. Suppose that all the conditions of Corollary 2.7 hold except 2.9. If X is separable and ϕ X : X ϕ(x ) is a local homeomorphism, then equality (2.7) holds for each A X. Proof. Every separable metric space has a countable base, see e.g. [5, 2, II, Theorem 2]. Hence we can use Corollary 2.0. Let cp(x) denote the set of all condensation points of a metric space X, i.e. points whose neighborhoods are not countable sets. Corollary 2.2 Suppose that X and Y are metric spaces, f : X Y is a local homeomorphism and X is separable. Let α (0, ) and let K f (x, a) = α x a for every a cp(x). Then (2.7) holds for every A X. Proof. The set X\cp (X) is a countable set in every separable metric space X, [5, 23, III]. 3. The Cantor ternary function We recall the definitions of the Cantor ternary set C and ternary Cantor function G. Let x [0, ], then x belongs C if and only if x has a base 3 expansion using only the
11 Linear distortion of Hausdorff dimension and Cantor s function 203 digits 0 and 2, i.e. x = m= 2α m 3 m, α m {0, }. (3.) The Cantor function G may be defined on C by the following rule. If x C has the ternary expansion (3.), then α m G(x) := 2 m. In this section we will denote by C the set of all endpoints of complementary intervals of C. We also write C := C\C. m= The proof of Theorem.4 needs the following lemma. Lemma 3. Let x C be a point with the representation (3.) and let R x (n) be the sequence from (.7). Then R x (n) = R x (n). (3.2) If x is not a right endpoint of a complementary interval of C, then m=n+ α m 2 (m n) 2 (+Rx(n+)), n N. (3.3) Proof. Since x = m= 2( α m) 3 m we have (3.2). It remains to prove (3.3). If α n+ =, then (3.3) is obvious. In the opposite case, 2 (+Rx(n+)) is the first positive element of the series α m 2 (m n). m=n Proof of Theorem.4. Consider first the case where x is not an endpoint of some complementary interval of C. Suppose that x has representation (3.), y tends to x, and 2β m y = 3 m m= where β m = β m (y) {0, }. Let n 0 = n 0 (x, y) be the smallest index m with β m α m 0. Then using the definition of the Cantor function we have log G(x) G(y) y x log x y = y x log (α m β m )2 (m n 0) n 0 log 2 m=n 0 log 2. (α m β m )3 (m n 0) n 0 log 3 m=n 0 It is easy to make sure that 2 (α m β m )3 (m n 0) 3 m=n 0
12 204 Dovgoshey, Martio, Ryazanov, and Vuorinen for all y C and that n 0 (x, y) tends to infinity if y x, y C. Hence, log 3 log 2 log G(x) G(y) y x log x y = y x ( log (α n0 β n0 ) + (α m β m )2 (m n 0) ) m=n 0 + n 0 log 2. Writing z(x, y) := (α n 0 β n0 ) + m=n 0 + we see that the it relation (.8) is equivalent to then Next we obtain bounds for z(x, y). If and hence z(x, y) = + m=n 0 + Consequently, by (3.3) we obtain (α m β m )2 (m n 0) log z(x, y) = 0. (3.4) y x n 0 (x, y) (α n0 β n0 ) =, m=n 0 + (α m β m )2 (m n 0) α m 2 (m n 0) z(x, y) 2. 2 (+Rx(n 0+)) z(x, y) 2. (3.5) If (α n0 β n0 ) =, then z(x, y) = (α m β m )2 (m n0), m=n 0 + and hence α m 2 (m n0) z(x, y) 2. (3.6) m=n 0 + Since α m 2 (m n0) = ( α m )2 (m n0), m=n 0 + m=n 0 + relations (3.6), (3.3) and (3.2) imply that z(x, y) 2 (+R x(n 0 +)) = 2 (+Rx(n0+)).
13 Linear distortion of Hausdorff dimension and Cantor s function 205 Consequently, as in the first case, we have (3.5). Now, (3.4) follows from (3.5) and (.9). Thus, the implication (.9) (.8) follows. Suppose now that (.9) does not hold. Then there is a strictly increasing sequence {n j } j= such that and R x ( + n j ) R x (n) = sup = a (0, ] (3.7) j + n j n n α nj α nj +, n j (3.8) where α nj and α nj + are digits in the representation (3.). Let {α m } m= be a sequence of digits in (3.). Putting α m if n j m n j + R x ( + n j ) β m (j) := otherwise and we claim that α m y j := m= 2β (j) m 3 m, log G(x) G(y j ) = log 2 j log x y j log 3 Indeed, (3.8) and (3.9) imply the equalities ) nj + ( nj ( 2 x y j = 3) 3 ( ) nj ( nj + G(x) G(y j ) = 2 2) Hence, by (3.7), we have ( + a). ( nj +R x(n j +)..., 3) ( nj +R x(n j +).... 2) log G(x) G(y j ) = log 2 j log x y j log 3 n j + R x ( + n j ) = ( + a) log 2 j n j log 3. (3.9) Consider now the case where x C. In this case there is n 0 N such that R x (n) = 0 for every n n 0. It remains only to show that log G(x) G(y) = log 2 y x log x y log 3. Suppose that x is a right endpoint of a complementary interval, (i.e. α n = 0 for all large enough n), y tends to x, and y = m= 2β m (y) 3 m, β m(y) {0, }.
14 206 Dovgoshey, Martio, Ryazanov, and Vuorinen Then there are positive integers m and m 2 = m 2 (y) such that x = m m= 2α m 3 m, β m(y) = α m if m m, m 2 (y) > m, β m2 (y) =, and β m (y) = 0 if m < m < m 2 (y). Hence ( ) log β m 2 m log G(x) G(y) m=m 2 (y) m = ( ) 2 (y)log 2 y x log x y y x = y x m log 2 β m 3 m 2 (y)log 3 = log 2 log 3. m=m 2 (y) The case where x is a left endpoint of a complementary interval is similar. Example 3.3 Here we give an example of a homeomorphism f : (X, ρ) (Y, d) such that: (i) For every a ac(x) x a K f (x, a) =. (ii) For arbitrary positive α, c and for every ball B(a, δ) X there exist x, y B(a, δ) for which d(f(x), f(y)) c(ρ(x, y)) α. The example is constructed with aid of the Cantor ternary set C and the Cantor function G. and Set M := x C : y x log G(x) G(y) log x y = log 2 log 3 I := G(M C ). (3.0) Let F : I M C be a function such that F (G(y)) = y for every y M C. It is easy to see that F is a homeomorphism and by the definition of M we see that K F y a (a, y) = log 3 log 2 (3.) for every a I. Let E be the space of infinite strings from the two-letters alphabet {0, }. We may define a metric d on E by setting d(α, β) = max n< 2 n α n β n if α = {α n }, β = {β n} are elements of E. Evidently, if d(α, β) 0, then there is a positive integer n such that d(α, β) = 2 n.
15 Linear distortion of Hausdorff dimension and Cantor s function 207 The space (E, d) is an ultrametric space and the map C 2ε n 3 n Φ {εn } E is a homeomorphism. (The proof can be found in [, Chapter 2].) We claim that the inequality 2 x y log 2/log 3 d(φ(x), Φ(y)) x y log 2/log 3 (3.2) holds for all x, y C. Indeed, if x and y have the representations x = 2α i 3 i, y = 2β i 3 i, α i, β i {0, }, i= i= and if d(φ(x), Φ(y)) = 2 n, then we get ) x y = (α 2 i β i )3 i 3 ( n 3 i = 2 (d(φ(x), Φ(y)))log 3/log 2. i=n i= A similar argument yields x y 3(d(Φ(x), Φ(y)) log 3/log 2. These inequalities imply (3.2). Let F 2 : M C Φ(M C ) be the restriction of the map Φ on the set M C. Obviously, F 2 is a homeomorphism and it follows from (3.2) that K F z a 2 (a, z) = log 2 log 3 (3.3) for each a (M C ). Now set, for every x I, f(x) := F 2 (F (x)). The function f is a homeomorphism from I to Φ(M C ) and the its (3.), (3.3) imply that x a K f (x, a) = for each a I, i.e., we get (i). Suppose α, c are arbitrary positive constants and O is an open interval in [0, ]. To prove (ii) we can choose x C such that (3.7) holds and α > 2, a (0, ), G(x) O. + a Since M is a dense subset of a perfect set C, there are sequences {x j } j N and {y j } j N in M such that j x j = j y j = x, x j y j j N,
16 208 Dovgoshey, Martio, Ryazanov, and Vuorinen and log F (x j ) F (y j ) j log x j y j = log 3 log 2 ( + a), see the proof of Theorem.4. The last relation and (3.2) imply that Hence there is N 0 N such that log d(f(x j ), f(y j )) = j log x j y j ( + a). d(f(x j ), f(y j )) x j y j 2/(+a) 2 for j N 0. Since +a < α and x j y j = 0, we have (ii). j 0 To prove Theorem.5 we use the following two propositions. Proposition 3.4 Let I be the subset of the unit interval [0, ] from (3.0). Then each number, simply normal to base 2, belongs to I. We recall the definition. Suppose x belongs to [0, ] and has the following base 2 representation a n x = 2 n, a n {0, }. This number x is called a simply normal to base 2 if N N N a n = 2. (3.4) 3.5. Proof of Proposition 3.4. Let x 0 C be a point with the ternary expansion x 0 = 2α n 3 n, α n {0, }. Suppose G(x 0 ) is a number simply normal to base 2. Since G(x 0 ) = α n 2 n, formula (3.4) implies that x 0 C. (If x 0 C, i.e. x is an endpoint of a complementary N N interval of C, then α n = 0 or α n =.) Hence, it suffices to show that N N N N R x0 (n) = 0. (3.5) n n
17 Linear distortion of Hausdorff dimension and Cantor s function 209 Put N 0 := {n : α n = 0} and N := {n : α n = }. Since x 0 C we have card(n 0 ) = card(n ) =. It follows from (3.4) that m+r x0 (m) 2 = α m n m + R m N x0 (m) ( ) m m = m R x0 (m) + α m m + R m N x0 (m) m ( m Rx0 (m) = m m + R m N x0 (m) m + ). 2 Hence we get A similar calculation yields Since N = N 0 N we have (3.5). R (m) x0 m m = 0. m N R (m) x0 m m = 0. m N 0 The proof of the next lemma is well-known. Lemma 3.6 Let m be the Lebesgue measure on R, and let s = log 2/log 3. Then for every A C. m (G(A)) = H s (A) 3.7. Proof of Theorem.5. As in Example 3.3 set M = x C : K y x G (y, x) = log 2 log 3. We claim that for every A M, and dim(g(a)) = log 3 dim(a)) (3.6) log 2 H s (M) = (3.7) for s = log 2/log 3. In order to prove (3.6), we can apply Corollary 2.7 with X = M, X = C, Y = [0, ]. Observe that C is countable and hence we have (2.6). The restriction G M C : M C G(M C )
18 20 Dovgoshey, Martio, Ryazanov, and Vuorinen is strictly increasing and continuous, so that it is a homeomorphism. It remains to verify (3.7). Let N be the set of numbers which are not simply normal to base 2. It is known [6, p.03] that m (N ) = 0. By Proposition 3.4 I is the superset of the set of all simply normal to base 2 numbers. Consequently, m (I ) =, and by Lemma 3.6 we have (3.7). Acknowledgments. Academy of Finland. The first and third authors thank for the support the References. G.A. Edgar, Measure, Topology, and Fractal Geometry, Springer-Verlag, New York, H. Federer, Geometric Measure Theory, Springer-Verlag, New-York, R.E. Gilman, A class of functions continuous but not absolutely continuous, Ann. of Math. (2), 33 (932), E. Hille and J.D. Tamarkin, Remarks on known example of a monotone continuous function, Amer. Math. Monthly 36 (929), K. Kuratowski, Topology, Vol. I, Academic Press, New York-London, I. Niven, Irrational Numbers, John Wiley and Sons, Inc., New York, N.Y., C.A. Rogers, Hausdorff Measures, Cambridge University Press, Cambridge, 970.
Real Analysis Math 131AH Rudin, Chapter #1. Dominique Abdi
Real Analysis Math 3AH Rudin, Chapter # Dominique Abdi.. If r is rational (r 0) and x is irrational, prove that r + x and rx are irrational. Solution. Assume the contrary, that r+x and rx are rational.
More informationCourse 212: Academic Year Section 1: Metric Spaces
Course 212: Academic Year 1991-2 Section 1: Metric Spaces D. R. Wilkins Contents 1 Metric Spaces 3 1.1 Distance Functions and Metric Spaces............. 3 1.2 Convergence and Continuity in Metric Spaces.........
More informationMA651 Topology. Lecture 10. Metric Spaces.
MA65 Topology. Lecture 0. Metric Spaces. This text is based on the following books: Topology by James Dugundgji Fundamental concepts of topology by Peter O Neil Linear Algebra and Analysis by Marc Zamansky
More information7 Complete metric spaces and function spaces
7 Complete metric spaces and function spaces 7.1 Completeness Let (X, d) be a metric space. Definition 7.1. A sequence (x n ) n N in X is a Cauchy sequence if for any ɛ > 0, there is N N such that n, m
More informationIntroduction to Hausdorff Measure and Dimension
Introduction to Hausdorff Measure and Dimension Dynamics Learning Seminar, Liverpool) Poj Lertchoosakul 28 September 2012 1 Definition of Hausdorff Measure and Dimension Let X, d) be a metric space, let
More informationAnalysis Finite and Infinite Sets The Real Numbers The Cantor Set
Analysis Finite and Infinite Sets Definition. An initial segment is {n N n n 0 }. Definition. A finite set can be put into one-to-one correspondence with an initial segment. The empty set is also considered
More information1 Topology Definition of a topology Basis (Base) of a topology The subspace topology & the product topology on X Y 3
Index Page 1 Topology 2 1.1 Definition of a topology 2 1.2 Basis (Base) of a topology 2 1.3 The subspace topology & the product topology on X Y 3 1.4 Basic topology concepts: limit points, closed sets,
More informationIGNACIO GARCIA, URSULA MOLTER, AND ROBERTO SCOTTO. (Communicated by Michael T. Lacey)
PROCEEDINGS OF THE AMERICAN MATHEMATICAL SOCIETY Volume 135, Number 10, October 2007, Pages 3151 3161 S 0002-9939(0709019-3 Article electronically published on June 21, 2007 DIMENSION FUNCTIONS OF CANTOR
More informationNECESSARY CONDITIONS FOR WEIGHTED POINTWISE HARDY INEQUALITIES
NECESSARY CONDITIONS FOR WEIGHTED POINTWISE HARDY INEQUALITIES JUHA LEHRBÄCK Abstract. We establish necessary conditions for domains Ω R n which admit the pointwise (p, β)-hardy inequality u(x) Cd Ω(x)
More informationCHAPTER 9. Embedding theorems
CHAPTER 9 Embedding theorems In this chapter we will describe a general method for attacking embedding problems. We will establish several results but, as the main final result, we state here the following:
More information4 Countability axioms
4 COUNTABILITY AXIOMS 4 Countability axioms Definition 4.1. Let X be a topological space X is said to be first countable if for any x X, there is a countable basis for the neighborhoods of x. X is said
More informationTopology. Xiaolong Han. Department of Mathematics, California State University, Northridge, CA 91330, USA address:
Topology Xiaolong Han Department of Mathematics, California State University, Northridge, CA 91330, USA E-mail address: Xiaolong.Han@csun.edu Remark. You are entitled to a reward of 1 point toward a homework
More informationTopological properties of Z p and Q p and Euclidean models
Topological properties of Z p and Q p and Euclidean models Samuel Trautwein, Esther Röder, Giorgio Barozzi November 3, 20 Topology of Q p vs Topology of R Both R and Q p are normed fields and complete
More informationLecture Notes in Advanced Calculus 1 (80315) Raz Kupferman Institute of Mathematics The Hebrew University
Lecture Notes in Advanced Calculus 1 (80315) Raz Kupferman Institute of Mathematics The Hebrew University February 7, 2007 2 Contents 1 Metric Spaces 1 1.1 Basic definitions...........................
More informationSolutions to Tutorial 8 (Week 9)
The University of Sydney School of Mathematics and Statistics Solutions to Tutorial 8 (Week 9) MATH3961: Metric Spaces (Advanced) Semester 1, 2018 Web Page: http://www.maths.usyd.edu.au/u/ug/sm/math3961/
More informationMORE ON CONTINUOUS FUNCTIONS AND SETS
Chapter 6 MORE ON CONTINUOUS FUNCTIONS AND SETS This chapter can be considered enrichment material containing also several more advanced topics and may be skipped in its entirety. You can proceed directly
More informationg 2 (x) (1/3)M 1 = (1/3)(2/3)M.
COMPACTNESS If C R n is closed and bounded, then by B-W it is sequentially compact: any sequence of points in C has a subsequence converging to a point in C Conversely, any sequentially compact C R n is
More informationMATH 54 - TOPOLOGY SUMMER 2015 FINAL EXAMINATION. Problem 1
MATH 54 - TOPOLOGY SUMMER 2015 FINAL EXAMINATION ELEMENTS OF SOLUTION Problem 1 1. Let X be a Hausdorff space and K 1, K 2 disjoint compact subsets of X. Prove that there exist disjoint open sets U 1 and
More informationA LITTLE REAL ANALYSIS AND TOPOLOGY
A LITTLE REAL ANALYSIS AND TOPOLOGY 1. NOTATION Before we begin some notational definitions are useful. (1) Z = {, 3, 2, 1, 0, 1, 2, 3, }is the set of integers. (2) Q = { a b : aεz, bεz {0}} is the set
More informationMaths 212: Homework Solutions
Maths 212: Homework Solutions 1. The definition of A ensures that x π for all x A, so π is an upper bound of A. To show it is the least upper bound, suppose x < π and consider two cases. If x < 1, then
More informationMAT 570 REAL ANALYSIS LECTURE NOTES. Contents. 1. Sets Functions Countability Axiom of choice Equivalence relations 9
MAT 570 REAL ANALYSIS LECTURE NOTES PROFESSOR: JOHN QUIGG SEMESTER: FALL 204 Contents. Sets 2 2. Functions 5 3. Countability 7 4. Axiom of choice 8 5. Equivalence relations 9 6. Real numbers 9 7. Extended
More informationMATH31011/MATH41011/MATH61011: FOURIER ANALYSIS AND LEBESGUE INTEGRATION. Chapter 2: Countability and Cantor Sets
MATH31011/MATH41011/MATH61011: FOURIER ANALYSIS AND LEBESGUE INTEGRATION Chapter 2: Countability and Cantor Sets Countable and Uncountable Sets The concept of countability will be important in this course
More informationChapter 3 Continuous Functions
Continuity is a very important concept in analysis. The tool that we shall use to study continuity will be sequences. There are important results concerning the subsets of the real numbers and the continuity
More informationMATH 102 INTRODUCTION TO MATHEMATICAL ANALYSIS. 1. Some Fundamentals
MATH 02 INTRODUCTION TO MATHEMATICAL ANALYSIS Properties of Real Numbers Some Fundamentals The whole course will be based entirely on the study of sequence of numbers and functions defined on the real
More informationvan Rooij, Schikhof: A Second Course on Real Functions
vanrooijschikhofproblems.tex December 5, 2017 http://thales.doa.fmph.uniba.sk/sleziak/texty/rozne/pozn/books/ van Rooij, Schikhof: A Second Course on Real Functions Some notes made when reading [vrs].
More informationUniquely Universal Sets
Uniquely Universal Sets 1 Uniquely Universal Sets Abstract 1 Arnold W. Miller We say that X Y satisfies the Uniquely Universal property (UU) iff there exists an open set U X Y such that for every open
More information2.2 Some Consequences of the Completeness Axiom
60 CHAPTER 2. IMPORTANT PROPERTIES OF R 2.2 Some Consequences of the Completeness Axiom In this section, we use the fact that R is complete to establish some important results. First, we will prove that
More informationChapter 8. P-adic numbers. 8.1 Absolute values
Chapter 8 P-adic numbers Literature: N. Koblitz, p-adic Numbers, p-adic Analysis, and Zeta-Functions, 2nd edition, Graduate Texts in Mathematics 58, Springer Verlag 1984, corrected 2nd printing 1996, Chap.
More informationContents Ordered Fields... 2 Ordered sets and fields... 2 Construction of the Reals 1: Dedekind Cuts... 2 Metric Spaces... 3
Analysis Math Notes Study Guide Real Analysis Contents Ordered Fields 2 Ordered sets and fields 2 Construction of the Reals 1: Dedekind Cuts 2 Metric Spaces 3 Metric Spaces 3 Definitions 4 Separability
More informationNumbers 1. 1 Overview. 2 The Integers, Z. John Nachbar Washington University in St. Louis September 22, 2017
John Nachbar Washington University in St. Louis September 22, 2017 1 Overview. Numbers 1 The Set Theory notes show how to construct the set of natural numbers N out of nothing (more accurately, out of
More informationMath 209B Homework 2
Math 29B Homework 2 Edward Burkard Note: All vector spaces are over the field F = R or C 4.6. Two Compactness Theorems. 4. Point Set Topology Exercise 6 The product of countably many sequentally compact
More informationRecall that if X is a compact metric space, C(X), the space of continuous (real-valued) functions on X, is a Banach space with the norm
Chapter 13 Radon Measures Recall that if X is a compact metric space, C(X), the space of continuous (real-valued) functions on X, is a Banach space with the norm (13.1) f = sup x X f(x). We want to identify
More informationContinuous Functions on Metric Spaces
Continuous Functions on Metric Spaces Math 201A, Fall 2016 1 Continuous functions Definition 1. Let (X, d X ) and (Y, d Y ) be metric spaces. A function f : X Y is continuous at a X if for every ɛ > 0
More informationMA651 Topology. Lecture 9. Compactness 2.
MA651 Topology. Lecture 9. Compactness 2. This text is based on the following books: Topology by James Dugundgji Fundamental concepts of topology by Peter O Neil Elements of Mathematics: General Topology
More informationInvariant measures for iterated function systems
ANNALES POLONICI MATHEMATICI LXXV.1(2000) Invariant measures for iterated function systems by Tomasz Szarek (Katowice and Rzeszów) Abstract. A new criterion for the existence of an invariant distribution
More informationTHEOREMS, ETC., FOR MATH 515
THEOREMS, ETC., FOR MATH 515 Proposition 1 (=comment on page 17). If A is an algebra, then any finite union or finite intersection of sets in A is also in A. Proposition 2 (=Proposition 1.1). For every
More informationCOUNTABLE PRODUCTS ELENA GUREVICH
COUNTABLE PRODUCTS ELENA GUREVICH Abstract. In this paper, we extend our study to countably infinite products of topological spaces.. The Cantor Set Let us constract a very curios (but usefull) set known
More informationA NOTE ON CORRELATION AND LOCAL DIMENSIONS
A NOTE ON CORRELATION AND LOCAL DIMENSIONS JIAOJIAO YANG, ANTTI KÄENMÄKI, AND MIN WU Abstract Under very mild assumptions, we give formulas for the correlation and local dimensions of measures on the limit
More informationCHAPTER 7. Connectedness
CHAPTER 7 Connectedness 7.1. Connected topological spaces Definition 7.1. A topological space (X, T X ) is said to be connected if there is no continuous surjection f : X {0, 1} where the two point set
More informationMATS113 ADVANCED MEASURE THEORY SPRING 2016
MATS113 ADVANCED MEASURE THEORY SPRING 2016 Foreword These are the lecture notes for the course Advanced Measure Theory given at the University of Jyväskylä in the Spring of 2016. The lecture notes can
More informationh(x) lim H(x) = lim Since h is nondecreasing then h(x) 0 for all x, and if h is discontinuous at a point x then H(x) > 0. Denote
Real Variables, Fall 4 Problem set 4 Solution suggestions Exercise. Let f be of bounded variation on [a, b]. Show that for each c (a, b), lim x c f(x) and lim x c f(x) exist. Prove that a monotone function
More informationAxioms of separation
Axioms of separation These notes discuss the same topic as Sections 31, 32, 33, 34, 35, and also 7, 10 of Munkres book. Some notions (hereditarily normal, perfectly normal, collectionwise normal, monotonically
More informationMAT1000 ASSIGNMENT 1. a k 3 k. x =
MAT1000 ASSIGNMENT 1 VITALY KUZNETSOV Question 1 (Exercise 2 on page 37). Tne Cantor set C can also be described in terms of ternary expansions. (a) Every number in [0, 1] has a ternary expansion x = a
More information(1) Consider the space S consisting of all continuous real-valued functions on the closed interval [0, 1]. For f, g S, define
Homework, Real Analysis I, Fall, 2010. (1) Consider the space S consisting of all continuous real-valued functions on the closed interval [0, 1]. For f, g S, define ρ(f, g) = 1 0 f(x) g(x) dx. Show that
More informationIn N we can do addition, but in order to do subtraction we need to extend N to the integers
Chapter The Real Numbers.. Some Preliminaries Discussion: The Irrationality of 2. We begin with the natural numbers N = {, 2, 3, }. In N we can do addition, but in order to do subtraction we need to extend
More informationECARES Université Libre de Bruxelles MATH CAMP Basic Topology
ECARES Université Libre de Bruxelles MATH CAMP 03 Basic Topology Marjorie Gassner Contents: - Subsets, Cartesian products, de Morgan laws - Ordered sets, bounds, supremum, infimum - Functions, image, preimage,
More informationLecture Notes in Real Analysis Anant R. Shastri Department of Mathematics Indian Institute of Technology Bombay
Lecture Notes in Real Analysis 2010 Anant R. Shastri Department of Mathematics Indian Institute of Technology Bombay August 6, 2010 Lectures 1-3 (I-week) Lecture 1 Why real numbers? Example 1 Gaps in the
More informationChapter 2. Metric Spaces. 2.1 Metric Spaces
Chapter 2 Metric Spaces ddddddddddddddddddddddddd ddddddd dd ddd A metric space is a mathematical object in which the distance between two points is meaningful. Metric spaces constitute an important class
More informationMathematics 220 Workshop Cardinality. Some harder problems on cardinality.
Some harder problems on cardinality. These are two series of problems with specific goals: the first goal is to prove that the cardinality of the set of irrational numbers is continuum, and the second
More informationREVIEW OF ESSENTIAL MATH 346 TOPICS
REVIEW OF ESSENTIAL MATH 346 TOPICS 1. AXIOMATIC STRUCTURE OF R Doğan Çömez The real number system is a complete ordered field, i.e., it is a set R which is endowed with addition and multiplication operations
More informationGeometry and topology of continuous best and near best approximations
Journal of Approximation Theory 105: 252 262, Geometry and topology of continuous best and near best approximations Paul C. Kainen Dept. of Mathematics Georgetown University Washington, D.C. 20057 Věra
More informationCHAPTER 1. Metric Spaces. 1. Definition and examples
CHAPTER Metric Spaces. Definition and examples Metric spaces generalize and clarify the notion of distance in the real line. The definitions will provide us with a useful tool for more general applications
More informationSelçuk Demir WS 2017 Functional Analysis Homework Sheet
Selçuk Demir WS 2017 Functional Analysis Homework Sheet 1. Let M be a metric space. If A M is non-empty, we say that A is bounded iff diam(a) = sup{d(x, y) : x.y A} exists. Show that A is bounded iff there
More informationMetric Space Topology (Spring 2016) Selected Homework Solutions. HW1 Q1.2. Suppose that d is a metric on a set X. Prove that the inequality d(x, y)
Metric Space Topology (Spring 2016) Selected Homework Solutions HW1 Q1.2. Suppose that d is a metric on a set X. Prove that the inequality d(x, y) d(z, w) d(x, z) + d(y, w) holds for all w, x, y, z X.
More informationProof. We indicate by α, β (finite or not) the end-points of I and call
C.6 Continuous functions Pag. 111 Proof of Corollary 4.25 Corollary 4.25 Let f be continuous on the interval I and suppose it admits non-zero its (finite or infinite) that are different in sign for x tending
More informationMATH 426, TOPOLOGY. p 1.
MATH 426, TOPOLOGY THE p-norms In this document we assume an extended real line, where is an element greater than all real numbers; the interval notation [1, ] will be used to mean [1, ) { }. 1. THE p
More informationarxiv: v2 [math.ca] 4 Jun 2017
EXCURSIONS ON CANTOR-LIKE SETS ROBERT DIMARTINO AND WILFREDO O. URBINA arxiv:4.70v [math.ca] 4 Jun 07 ABSTRACT. The ternary Cantor set C, constructed by George Cantor in 883, is probably the best known
More informationThe Lebesgue Integral
The Lebesgue Integral Brent Nelson In these notes we give an introduction to the Lebesgue integral, assuming only a knowledge of metric spaces and the iemann integral. For more details see [1, Chapters
More informationSeminar In Topological Dynamics
Bar Ilan University Department of Mathematics Seminar In Topological Dynamics EXAMPLES AND BASIC PROPERTIES Harari Ronen May, 2005 1 2 1. Basic functions 1.1. Examples. To set the stage, we begin with
More informationUNIFORMLY PERFECT ANALYTIC AND CONFORMAL ATTRACTOR SETS. 1. Introduction and results
UNIFORMLY PERFECT ANALYTIC AND CONFORMAL ATTRACTOR SETS RICH STANKEWITZ Abstract. Conditions are given which imply that analytic iterated function systems (IFS s) in the complex plane C have uniformly
More informationDynamical Systems 2, MA 761
Dynamical Systems 2, MA 761 Topological Dynamics This material is based upon work supported by the National Science Foundation under Grant No. 9970363 1 Periodic Points 1 The main objects studied in the
More informationAnalysis III. Exam 1
Analysis III Math 414 Spring 27 Professor Ben Richert Exam 1 Solutions Problem 1 Let X be the set of all continuous real valued functions on [, 1], and let ρ : X X R be the function ρ(f, g) = sup f g (1)
More informationAN EXPLORATION OF THE METRIZABILITY OF TOPOLOGICAL SPACES
AN EXPLORATION OF THE METRIZABILITY OF TOPOLOGICAL SPACES DUSTIN HEDMARK Abstract. A study of the conditions under which a topological space is metrizable, concluding with a proof of the Nagata Smirnov
More informationA PROOF OF A CONVEX-VALUED SELECTION THEOREM WITH THE CODOMAIN OF A FRÉCHET SPACE. Myung-Hyun Cho and Jun-Hui Kim. 1. Introduction
Comm. Korean Math. Soc. 16 (2001), No. 2, pp. 277 285 A PROOF OF A CONVEX-VALUED SELECTION THEOREM WITH THE CODOMAIN OF A FRÉCHET SPACE Myung-Hyun Cho and Jun-Hui Kim Abstract. The purpose of this paper
More informationDYNAMICAL PROPERTIES OF MONOTONE DENDRITE MAPS
DYNAMICAL PROPERTIES OF MONOTONE DENDRITE MAPS Issam Naghmouchi To cite this version: Issam Naghmouchi. DYNAMICAL PROPERTIES OF MONOTONE DENDRITE MAPS. 2010. HAL Id: hal-00593321 https://hal.archives-ouvertes.fr/hal-00593321v2
More informationChapter 1. Measure Spaces. 1.1 Algebras and σ algebras of sets Notation and preliminaries
Chapter 1 Measure Spaces 1.1 Algebras and σ algebras of sets 1.1.1 Notation and preliminaries We shall denote by X a nonempty set, by P(X) the set of all parts (i.e., subsets) of X, and by the empty set.
More informationTheorems. Theorem 1.11: Greatest-Lower-Bound Property. Theorem 1.20: The Archimedean property of. Theorem 1.21: -th Root of Real Numbers
Page 1 Theorems Wednesday, May 9, 2018 12:53 AM Theorem 1.11: Greatest-Lower-Bound Property Suppose is an ordered set with the least-upper-bound property Suppose, and is bounded below be the set of lower
More informationFUNCTIONAL ANALYSIS CHRISTIAN REMLING
FUNCTIONAL ANALYSIS CHRISTIAN REMLING Contents 1. Metric and topological spaces 2 2. Banach spaces 12 3. Consequences of Baire s Theorem 30 4. Dual spaces and weak topologies 34 5. Hilbert spaces 50 6.
More informationMath 201 Topology I. Lecture notes of Prof. Hicham Gebran
Math 201 Topology I Lecture notes of Prof. Hicham Gebran hicham.gebran@yahoo.com Lebanese University, Fanar, Fall 2015-2016 http://fs2.ul.edu.lb/math http://hichamgebran.wordpress.com 2 Introduction and
More informationSOME MEASURABILITY AND CONTINUITY PROPERTIES OF ARBITRARY REAL FUNCTIONS
LE MATEMATICHE Vol. LVII (2002) Fasc. I, pp. 6382 SOME MEASURABILITY AND CONTINUITY PROPERTIES OF ARBITRARY REAL FUNCTIONS VITTORINO PATA - ALFONSO VILLANI Given an arbitrary real function f, the set D
More informationMATH 202B - Problem Set 5
MATH 202B - Problem Set 5 Walid Krichene (23265217) March 6, 2013 (5.1) Show that there exists a continuous function F : [0, 1] R which is monotonic on no interval of positive length. proof We know there
More information1 Measure and Category on the Line
oxtoby.tex September 28, 2011 Oxtoby: Measure and Category Notes from [O]. 1 Measure and Category on the Line Countable sets, sets of first category, nullsets, the theorems of Cantor, Baire and Borel Theorem
More informationTopological properties
CHAPTER 4 Topological properties 1. Connectedness Definitions and examples Basic properties Connected components Connected versus path connected, again 2. Compactness Definition and first examples Topological
More informationProblems - Section 17-2, 4, 6c, 9, 10, 13, 14; Section 18-1, 3, 4, 6, 8, 10; Section 19-1, 3, 5, 7, 8, 9;
Math 553 - Topology Todd Riggs Assignment 2 Sept 17, 2014 Problems - Section 17-2, 4, 6c, 9, 10, 13, 14; Section 18-1, 3, 4, 6, 8, 10; Section 19-1, 3, 5, 7, 8, 9; 17.2) Show that if A is closed in Y and
More informationSets, Structures, Numbers
Chapter 1 Sets, Structures, Numbers Abstract In this chapter we shall introduce most of the background needed to develop the foundations of mathematical analysis. We start with sets and algebraic structures.
More informationMath 172 HW 1 Solutions
Math 172 HW 1 Solutions Joey Zou April 15, 2017 Problem 1: Prove that the Cantor set C constructed in the text is totally disconnected and perfect. In other words, given two distinct points x, y C, there
More informationChapter 4. Measure Theory. 1. Measure Spaces
Chapter 4. Measure Theory 1. Measure Spaces Let X be a nonempty set. A collection S of subsets of X is said to be an algebra on X if S has the following properties: 1. X S; 2. if A S, then A c S; 3. if
More informationEconomics 204 Fall 2011 Problem Set 1 Suggested Solutions
Economics 204 Fall 2011 Problem Set 1 Suggested Solutions 1. Suppose k is a positive integer. Use induction to prove the following two statements. (a) For all n N 0, the inequality (k 2 + n)! k 2n holds.
More informationMINIMAL UNIVERSAL METRIC SPACES
Annales Academiæ Scientiarum Fennicæ Mathematica Volumen 42, 2017, 1019 1064 MINIMAL UNIVERSAL METRIC SPACES Victoriia Bilet, Oleksiy Dovgoshey, Mehmet Küçükaslan and Evgenii Petrov Institute of Applied
More informationMATH 51H Section 4. October 16, Recall what it means for a function between metric spaces to be continuous:
MATH 51H Section 4 October 16, 2015 1 Continuity Recall what it means for a function between metric spaces to be continuous: Definition. Let (X, d X ), (Y, d Y ) be metric spaces. A function f : X Y is
More informationMath 117: Topology of the Real Numbers
Math 117: Topology of the Real Numbers John Douglas Moore November 10, 2008 The goal of these notes is to highlight the most important topics presented in Chapter 3 of the text [1] and to provide a few
More information1/12/05: sec 3.1 and my article: How good is the Lebesgue measure?, Math. Intelligencer 11(2) (1989),
Real Analysis 2, Math 651, Spring 2005 April 26, 2005 1 Real Analysis 2, Math 651, Spring 2005 Krzysztof Chris Ciesielski 1/12/05: sec 3.1 and my article: How good is the Lebesgue measure?, Math. Intelligencer
More informationImmerse Metric Space Homework
Immerse Metric Space Homework (Exercises -2). In R n, define d(x, y) = x y +... + x n y n. Show that d is a metric that induces the usual topology. Sketch the basis elements when n = 2. Solution: Steps
More informationBanach Spaces V: A Closer Look at the w- and the w -Topologies
BS V c Gabriel Nagy Banach Spaces V: A Closer Look at the w- and the w -Topologies Notes from the Functional Analysis Course (Fall 07 - Spring 08) In this section we discuss two important, but highly non-trivial,
More informationSupplementary Notes for W. Rudin: Principles of Mathematical Analysis
Supplementary Notes for W. Rudin: Principles of Mathematical Analysis SIGURDUR HELGASON In 8.00B it is customary to cover Chapters 7 in Rudin s book. Experience shows that this requires careful planning
More informationGENERALIZED CANTOR SETS AND SETS OF SUMS OF CONVERGENT ALTERNATING SERIES
Journal of Applied Analysis Vol. 7, No. 1 (2001), pp. 131 150 GENERALIZED CANTOR SETS AND SETS OF SUMS OF CONVERGENT ALTERNATING SERIES M. DINDOŠ Received September 7, 2000 and, in revised form, February
More informationOn the strong cell decomposition property for weakly o-minimal structures
On the strong cell decomposition property for weakly o-minimal structures Roman Wencel 1 Instytut Matematyczny Uniwersytetu Wroc lawskiego ABSTRACT We consider a class of weakly o-minimal structures admitting
More information3 Measurable Functions
3 Measurable Functions Notation A pair (X, F) where F is a σ-field of subsets of X is a measurable space. If µ is a measure on F then (X, F, µ) is a measure space. If µ(x) < then (X, F, µ) is a probability
More informationDiscontinuous order preserving circle maps versus circle homeomorphisms
Discontinuous order preserving circle maps versus circle homeomorphisms V. S. Kozyakin Institute for Information Transmission Problems Russian Academy of Sciences Bolshoj Karetny lane, 19, 101447 Moscow,
More informationNORMAL FAMILIES OF HOLOMORPHIC FUNCTIONS ON INFINITE DIMENSIONAL SPACES
PORTUGALIAE MATHEMATICA Vol. 63 Fasc.3 2006 Nova Série NORMAL FAMILIES OF HOLOMORPHIC FUNCTIONS ON INFINITE DIMENSIONAL SPACES Paula Takatsuka * Abstract: The purpose of the present work is to extend some
More informationQuick Tour of the Topology of R. Steven Hurder, Dave Marker, & John Wood 1
Quick Tour of the Topology of R Steven Hurder, Dave Marker, & John Wood 1 1 Department of Mathematics, University of Illinois at Chicago April 17, 2003 Preface i Chapter 1. The Topology of R 1 1. Open
More informationProblem set 1, Real Analysis I, Spring, 2015.
Problem set 1, Real Analysis I, Spring, 015. (1) Let f n : D R be a sequence of functions with domain D R n. Recall that f n f uniformly if and only if for all ɛ > 0, there is an N = N(ɛ) so that if n
More informationDaniel Akech Thiong Math 501: Real Analysis Homework Problems with Solutions Fall Problem. 1 Give an example of a mapping f : X Y such that
Daniel Akech Thiong Math 501: Real Analysis Homework Problems with Solutions Fall 2014 Problem. 1 Give an example of a mapping f : X Y such that 1. f(a B) = f(a) f(b) for some A, B X. 2. f(f 1 (A)) A for
More informationMeta-logic derivation rules
Meta-logic derivation rules Hans Halvorson February 19, 2013 Recall that the goal of this course is to learn how to prove things about (as opposed to by means of ) classical first-order logic. So, we will
More informationare Banach algebras. f(x)g(x) max Example 7.4. Similarly, A = L and A = l with the pointwise multiplication
7. Banach algebras Definition 7.1. A is called a Banach algebra (with unit) if: (1) A is a Banach space; (2) There is a multiplication A A A that has the following properties: (xy)z = x(yz), (x + y)z =
More informationPOINTWISE PRODUCTS OF UNIFORMLY CONTINUOUS FUNCTIONS
SARAJEVO JOURNAL OF MATHEMATICS Vol.1 (13) (2005), 117 127 POINTWISE PRODUCTS OF UNIFORMLY CONTINUOUS FUNCTIONS SAM B. NADLER, JR. Abstract. The problem of characterizing the metric spaces on which the
More informationFunctional Analysis HW #1
Functional Analysis HW #1 Sangchul Lee October 9, 2015 1 Solutions Solution of #1.1. Suppose that X
More informationNotes on nets and convergence in topology
Topology I Humboldt-Universität zu Berlin C. Wendl / F. Schmäschke Summer Semester 2017 Notes on nets and convergence in topology Nets generalize the notion of sequences so that certain familiar results
More informationAfter taking the square and expanding, we get x + y 2 = (x + y) (x + y) = x 2 + 2x y + y 2, inequality in analysis, we obtain.
Lecture 1: August 25 Introduction. Topology grew out of certain questions in geometry and analysis about 100 years ago. As Wikipedia puts it, the motivating insight behind topology is that some geometric
More informationPart III. 10 Topological Space Basics. Topological Spaces
Part III 10 Topological Space Basics Topological Spaces Using the metric space results above as motivation we will axiomatize the notion of being an open set to more general settings. Definition 10.1.
More information