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Dimension and Maps

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Topological Dimension and Dynamical Systems

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Abstract

In this chapter, we establish Urysohn’s lemma (Lemma 4.1.2) and the Tietze extension theorem (Theorem 4.1.4) for normal spaces.

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Correspondence to Michel Coornaert .

Appendices

Notes

The Tietze extension theorem (cf. Theorem 4.1.4), also called the Tietze-Urysohn extension theorem, was first proved for metric spaces by Tietze [104] and then generalized to normal spaces by Urysohn [109].

The notion of a nerve was introduced by Alexandroff in [3]. Theorem 4.4.7 as well as Theorem 4.5.4 are also contained in that paper of Alexandroff.

A variant of \(\dim _\varepsilon (X,d)\) introduced by Gromov [44, Sect. I.1] is \({{\mathrm{Widim}}}_\varepsilon (X,d)\) which is defined, for any compact metric space (Xd) and \(\varepsilon > 0\), as being the smallest integer n such that there exists an \(\varepsilon \)-injective continuous map \(f :X \rightarrow P\) from X into some n-dimensional polyhedron P (cf. Exercise 4.11). Motivated by a question raised by Gromov [44, p. 334], Gournay [40] and Tsukamoto [107] obtained interesting estimates for \({{\mathrm{Widim}}}_\varepsilon (X,d)\) when X is the \(\ell ^p\)-ball in \(\mathbb {R}^n\) and d is the metric induced by the \(\ell ^q\)-norm.

Let X and Y be topological spaces that are not both empty. For X and Y compact and metrizable, it may happen that the inequality \(\dim (X \times Y) \le \dim (X) +\,\dim (Y)\) in Corollary 4.5.6 is strict. Indeed, in 1930, Pontryagin [91] (see also his survey paper [92, Sect. 11]) gave examples of compact metrizable spaces X and Y with \(\dim (X) = \dim (Y) = 2\) but \(\dim (X \times Y) = 3\). Actually, the dimension of the product of two compact metrizable spaces can deviate arbitrarily from the sum of the dimension. More precisely, it was proved in the 1980 s by Dranishnikov (see the survey paper [31]) that, given any positive integers nmk with \(\max (n,m)+1\le k\le n+m\), there exist compact metrizable spaces X and Y satisfying \(\dim (X) = n\), \(\dim (Y) = m\), and \(\dim (X\times Y)=k\). Recall that we always have \(\dim (X \times Y) = \dim (X) + \dim (Y)\) if X and Y are polyhedra by Corollary 3.5.10. The inequality \(\dim (X \times Y) \le \dim (X) + \dim (Y)\) remains valid when X and Y are both compact Hausdorff or both metrizable (see [77], [33, Th. 3.4.9]). In [77], Morita proved the inequality \(\dim (X \times Y) \le \dim (X) +\dim (Y)\) in the case when X and Y are paracompact Hausdorff spaces with Y locally compact (see [79, p. 153]). Recall that every metrizable space is paracompact. By a result of Hurewicz [49], one has \(\dim (X \times Y) = \dim (X)\,+\,\dim (Y)\) whenever X is a non-empty compact metrizable space and Y a separable metrizable space with \(\dim (Y) = 1\). In this last result, the compactness hypothesis on X cannot be removed. Indeed, Erdös [34] gave an example of a separable metrizable space X such that \(\dim (X \times X) = \dim (X) = 1\) (see Sect. 5.1). On the other hand, Wage [114] described a separable metrizable space X and a paracompact Hausdorff space Y such that \( \dim (X \times Y) = 1 > \dim (X) + \dim (Y) = 0\). The result of Corollary 4.7.6 (Menger-Nöbeling theorem) is optimal in the sense that for every integer \(n \ge 0\) there exists a compact metrizable space X with \(\dim (X) = n\) that cannot be embedded in \(\mathbb {R}^{2n}\). One can take as X the n-skeleton, i.e., the union of the n-dimensional faces, of a \((2n + 2)\)-simplex (see [33, p. 101]). The idea of using Baire’s theorem in order to prove the Menger-Nöbeling embedding theorem is due to Hurewicz.

Exercises

  1. 4.1

    Let X be a metric space. Let A and B be disjoint closed subsets of X. Show that the map \(f :X \rightarrow [0,1]\) defined by

    $$ f(x) := \frac{{{\mathrm{dist}}}(x,A)}{{{\mathrm{dist}}}(x,A) + {{\mathrm{dist}}}(x,B)} $$

    is continuous and satisfies \(A = f^{-1}(0)\) and \(B = f^{-1}(1)\).

  2. 4.2

    Show that in the statement of Lemma 4.1.2 one cannot replace the condition \(A \subset f^{-1}(0)\) by the condition \(A = f^{-1}(0)\). Hint: consider for example the product space \(X = [0,1]^\mathbb {R}\) with \(A = \{a\}\) and \(B = \{b\}\), where a and b are distinct points in X.

  3. 4.3

    Let X be a topological space. Suppose that for every finite open cover \(\alpha \) of X, there exists a partition of unity subordinate to \(\alpha \). Show that X is normal.

  4. 4.4

    Let \(\alpha = (U_i)_{i \in I}\) be a finite open cover of a topological space X. Let C denote the geometric realization of the nerve of \(\alpha \). Suppose that \((f_i)_{i \in I}\) and \((g_i)_{i \in I}\) are partitions of unity subordinate to \(\alpha \). Let \(t \in [0,1]\). Show that \(((1-t)f_i + tg_i)_{i \in I}\) is a partition of unity subordinate to \(\alpha \). Deduce that the maps \(f :X \rightarrow \vert C \vert \) and \(g :X \rightarrow \vert C \vert \) associated with \((f_i)_{i \in I}\) and \((g_i)_{i \in I}\) respectively are homotopic, i.e., there exists a continuous map \(H :X \times [0,1] \rightarrow \vert C \vert \) such that \(H(x,0) = f(x)\) and \(H(x,1) = g(x)\) for all \(x \in X\).

  5. 4.5

    Let X and Y be compact metrizable spaces. Show that if \(\dim (Y) = 0\), then one has \(\dim (X \times Y) = \dim (X)\).

  6. 4.6

    Let X be a non-empty compact metric space. Show that one has \(\dim _\varepsilon (X) = 0\) for every \(\varepsilon > {{\mathrm{diam}}}(X)\).

  7. 4.7

    Let \((X,d_X)\) and \((Y,d_Y)\) be metric spaces. The set \(X \times Y\) is equipped with the metric d defined by

    $$ d((x_1,y_1),(x_2,y_2)) := \max (d_X(x_1,x_2),d_Y(y_1,y_2)) $$

    for all \((x_1,y_1), (x_2,y_2) \in X \times Y\). Show that one has

    $$ \dim _\varepsilon (X \times Y,d) \le \dim _\varepsilon (X,d_X) + \dim _\varepsilon (Y,d_Y) $$

    for every \(\varepsilon > 0\).

  8. 4.8

    Let \(d_1\) and \(d_2\) be two metrics on a set X. Consider the metric d on X defined by \(d := \max (d_1,d_2)\). Show that one has

    $$ \dim _\varepsilon (X,d) \le \dim _\varepsilon (X,d_1) + \dim _\varepsilon (X,d_2) $$

    for every \(\varepsilon > 0\).

  9. 4.9

    Let d denote the Euclidean metric on \([0,1]^2\). Compute \(\dim _\varepsilon ([0,1]^2,d)\) for every \(\varepsilon > 0\).

  10. 4.10

    Let \(n \in \mathbb {N}\) and \(p \in [1,\infty ]\). Denote by d the metric associated with the p-norm \(\Vert \cdot \Vert _p\) on \(\mathbb {R}^n\). Show that one has

    $$ \dim _\varepsilon (\mathbb {R}^n,d) = n $$

    for every \(\varepsilon > 0\).

  11. 4.11

    Let (Xd) be a compact metric space and let \(\varepsilon > 0\).

    1. (a)

      Show that there exist a polyhedron P and an \(\varepsilon \)-injective continuous map \(f :X \rightarrow P\).

    2. (b)

      Let \({{\mathrm{Widim}}}_\varepsilon (X,d)\) denote the smallest integer n such that there exist a polyhedron P with \(\dim (P) = n\) and an \(\varepsilon \)-injective continuous map \(f :X \rightarrow P\). Show that one has \(\dim _\varepsilon (X,d) \le {{\mathrm{Widim}}}_\varepsilon (X,d) \le 2 \dim _\varepsilon (X,d) + 1\).

    3. (c)

      Determine \(\dim _\varepsilon (X,d)\) and \({{\mathrm{Widim}}}_\varepsilon (X,d)\) for every \(\varepsilon >0\) when X is the Cantor ternary set and d is the usual metric on \(X \subset \mathbb {R}\).

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Coornaert, M. (2015). Dimension and Maps. In: Topological Dimension and Dynamical Systems. Universitext. Springer, Cham. https://doi.org/10.1007/978-3-319-19794-4_4

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