Section 6A

Metric Spaces

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Problem 6A.1

Verify that each of the claimed metrics in Example 6.2 is indeed a metric.

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Remark.
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Example 6.2:

  • For a nonempty set VV, define dd on V×VV \times V by d(f,g)=1d(f,g) = 1 if f≠gf \neq g and d(f,g)=0d(f,g) = 0 if f=gf = g. Then dd is a metric on VV.

  • Define dd on R×R\mathbb {R} \times \mathbb {R} by d(x,y)=∣x−y∣d(x,y) = \left|x-y\right|. Then dd is a metric on R\mathbb {R}.

  • For n∈Nn \in \mathbb {N}, define dd on Rn×Rn\mathbb {R}^{n} \times \mathbb {R}^{n} by d((x1,…,xn),(y1,…,yn))=max⁡{∣x1−y1∣,…,∣xn−yn∣}d\left((x_1,\ldots ,x_n),(y_1,\ldots ,y_n)\right) = \max \left\{ \left|x_1-y_1\right|,\ldots ,\left|x_n-y_n\right|\right\}. Then dd is a metric on Rn\mathbb {R}^{n}.

  • Define dd on C([0,1])×C([0,1])C([0,1]) \times C([0,1]) by d(f,g)=sup⁡{∣f(t)−g(t)∣:t∈[0,1]}d(f,g) = \sup \left\{ \left|f(t)-g(t)\right| : t \in [0,1]\right\}, where C([0,1])C([0,1]) is the set of continuous real-valued functions on [0,1][0,1]. Then dd is a metric on C([0,1])C([0,1]).

  • Define dd on ℓ1×ℓ1\ell^{1} \times \ell^{1} by d((a1,a2,…),(b1,b2,…))=∑k=1∞∣ak−bk∣d\left((a_1,a_2,\ldots ),(b_1,b_2,\ldots )\right) = \sum_{k=1}^{\infty }\left|a_k-b_k\right|, where ℓ1\ell^{1} is the set of sequences (a1,a2,…)(a_1,a_2,\ldots ) of real numbers such that ∑k=1∞∣ak∣<∞\sum_{k=1}^{\infty }\left|a_k\right| < \infty. Then dd is a metric on ℓ1\ell^{1}.

Problem 6A.2

Prove that every finite subset of a metric space is closed.

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Problem 6A.3

Prove that every closed ball in a metric space is closed.

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Problem 6A.4

Suppose VV is a metric space.

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(a)

Prove that the union of each collection of open subsets of VV is an open subset of VV.

(b)

Prove that the intersection of each finite collection of open subsets of VV is an open subset of VV.

Problem 6A.5

Suppose VV is a metric space.

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(a)

Prove that the intersection of each collection of closed subsets of VV is a closed subset of VV.

(b)

Prove that the union of each finite collection of closed subsets of VV is a closed subset of VV.

Problem 6A.6
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(a)

Prove that if VV is a metric space, f∈Vf \in V, and r>0r > 0, then B(f,r)‾⊆B‾(f,r)\overline{B(f, r)} \subseteq \overline{B}(f, r).

(b)

Give an example of a metric space V,f∈VV, f \in V, and r>0r > 0 such that B(f,r)‾≠B‾(f,r)\overline{B(f, r)} \neq \overline{B}(f, r).

Problem 6A.7

Show that each sequence in a metric space has at most one limit.

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Problem 6A.8

Prove 6.9.

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Remark.
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6.9 (closure): Suppose VV is a metric space and E⊆VE \subseteq V. Then

  1. E‾={g∈V:there exist f1,f2,… in E such that lim⁡k→∞fk=g}\overline{E} = \left\{ g \in V: \text{there exist } f_{1}, f_{2}, \ldots \text{ in } E \text{ such that } \lim_{k \rightarrow \infty } f_{k} = g\right\};

  2. E‾\overline{E} is the intersection of all closed subsets of VV that contain EE;

  3. E‾\overline{E} is a closed subset of VV;

  4. EE is closed if and only if E=E‾E = \overline{E};

  5. EE is closed if and only if EE contains the limit of every convergent sequence of elements of EE.

Problem 6A.9

Prove that each open subset of a metric space VV is the union of some sequence of closed subsets of VV.

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Problem 6A.10

Prove or give a counterexample: If VV is a metric space and U,WU, W are subsets of VV, then U‾∪W‾=U∪W‾\overline{U} \cup \overline{W} = \overline{U \cup W}.

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Problem 6A.11

Prove or give a counterexample: If VV is a metric space and U,WU, W are subsets of VV, then U‾∩W‾=U∩W‾\overline{U} \cap \overline{W} = \overline{U \cap W}.

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Problem 6A.12

Suppose (U,dU),(V,dV)\left(U, d_{U}\right),\left(V, d_{V}\right), and (W,dW)\left(W, d_{W}\right) are metric spaces. Suppose also that T:U→VT: U \rightarrow V and S:V→WS: V \rightarrow W are continuous functions.

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(a)

Using the definition of continuity, show that S∘T:U→WS \circ T: U \rightarrow W is continuous.

(b)

Using the equivalence of 6.11(a) and 6.11(b), show that S∘T:U→WS \circ T: U \rightarrow W is continuous.

(c)

Using the equivalence of 6.11(a) and 6.11(c), show that S∘T:U→WS \circ T: U \rightarrow W is continuous.

Remark.
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6.11 (equivalent conditions for continuity): Suppose VV and WW are metric spaces and T:V→WT: V \rightarrow W is a function. Then the following are equivalent:

  1. TT is continuous.

  2. lim⁡k→∞fk=f\lim_{k \rightarrow \infty } f_{k} = f in VV implies lim⁡k→∞T(fk)=T(f)\lim_{k \rightarrow \infty } T(f_{k}) = T(f) in WW.

  3. T−1(G)T^{-1}(G) is an open subset of VV for every open set G⊆WG \subseteq W.

  4. T−1(F)T^{-1}(F) is a closed subset of VV for every closed set F⊆WF \subseteq W.

Problem 6A.13

Prove the parts of 6.11 that were not proved in the text.

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Remark.
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6.11 (equivalent conditions for continuity): Suppose VV and WW are metric spaces and T:V→WT: V \rightarrow W is a function. Then the following are equivalent:

  1. TT is continuous.

  2. lim⁡k→∞fk=f\lim_{k \rightarrow \infty } f_{k} = f in VV implies lim⁡k→∞T(fk)=T(f)\lim_{k \rightarrow \infty } T(f_{k}) = T(f) in WW.

  3. T−1(G)T^{-1}(G) is an open subset of VV for every open set G⊆WG \subseteq W.

  4. T−1(F)T^{-1}(F) is a closed subset of VV for every closed set F⊆WF \subseteq W. The text's own proof shows that (b) implies (d), and that (c) and (d) are equivalent.

Problem 6A.14

Suppose a Cauchy sequence in a metric space has a convergent subsequence. Prove that the Cauchy sequence converges.

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Problem 6A.15

Verify that all five of the metric spaces in Example 6.2 are complete metric spaces.

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Remark.
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Example 6.2:

  • For a nonempty set VV, define dd on V×VV \times V by d(f,g)=1d(f,g) = 1 if f≠gf \neq g and d(f,g)=0d(f,g) = 0 if f=gf = g. Then dd is a metric on VV.

  • Define dd on R×R\mathbb {R} \times \mathbb {R} by d(x,y)=∣x−y∣d(x,y) = \left|x-y\right|. Then dd is a metric on R\mathbb {R}.

  • For n∈Nn \in \mathbb {N}, define dd on Rn×Rn\mathbb {R}^{n} \times \mathbb {R}^{n} by d((x1,…,xn),(y1,…,yn))=max⁡{∣x1−y1∣,…,∣xn−yn∣}d\left((x_1,\ldots ,x_n),(y_1,\ldots ,y_n)\right) = \max \left\{ \left|x_1-y_1\right|,\ldots ,\left|x_n-y_n\right|\right\}. Then dd is a metric on Rn\mathbb {R}^{n}.

  • Define dd on C([0,1])×C([0,1])C([0,1]) \times C([0,1]) by d(f,g)=sup⁡{∣f(t)−g(t)∣:t∈[0,1]}d(f,g) = \sup \left\{ \left|f(t)-g(t)\right| : t \in [0,1]\right\}, where C([0,1])C([0,1]) is the set of continuous real-valued functions on [0,1][0,1]. Then dd is a metric on C([0,1])C([0,1]).

  • Define dd on ℓ1×ℓ1\ell^{1} \times \ell^{1} by d((a1,a2,…),(b1,b2,…))=∑k=1∞∣ak−bk∣d\left((a_1,a_2,\ldots ),(b_1,b_2,\ldots )\right) = \sum_{k=1}^{\infty }\left|a_k-b_k\right|, where ℓ1\ell^{1} is the set of sequences (a1,a2,…)(a_1,a_2,\ldots ) of real numbers such that ∑k=1∞∣ak∣<∞\sum_{k=1}^{\infty }\left|a_k\right| < \infty. Then dd is a metric on ℓ1\ell^{1}.

Problem 6A.16

Suppose (U,d)(U, d) is a metric space. Let WW denote the set of all Cauchy sequences of elements of UU.

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(a)

For (f1,f2,…)\left(f_{1}, f_{2}, \ldots \right) and (g1,g2,…)\left(g_{1}, g_{2}, \ldots \right) in WW, define (f1,f2,…)≡(g1,g2,…)\left(f_{1}, f_{2}, \ldots \right) \equiv \left(g_{1}, g_{2}, \ldots \right) to mean that

lim⁡k→∞d(fk,gk)=0 \lim _{k \rightarrow \infty } d\left(f_{k}, g_{k}\right) = 0

Show that ≡\equiv is an equivalence relation on WW.

(b)

Let VV denote the set of equivalence classes of elements of WW under the equivalence relation above. For (f1,f2,…)∈W\left(f_{1}, f_{2}, \ldots \right) \in W, let (f1,f2,…)∧\left(f_{1}, f_{2}, \ldots \right)^{\wedge } denote the equivalence class of (f1,f2,…)\left(f_{1}, f_{2}, \ldots \right). Define dV:V×V→[0,∞)d_{V}: V \times V \rightarrow [0, \infty ) by

dV((f1,f2,…)∧,(g1,g2,…)∧)=lim⁡k→∞d(fk,gk) d_{V}\left(\left(f_{1}, f_{2}, \ldots \right)^{\wedge },\left(g_{1}, g_{2}, \ldots \right)^{\wedge }\right) = \lim _{k \rightarrow \infty } d\left(f_{k}, g_{k}\right)

Show that this definition of dVd_{V} makes sense and that dVd_{V} is a metric on VV.

(c)

Show that (V,dV)\left(V, d_{V}\right) is a complete metric space.

(d)

Show that the map from UU to VV that takes f∈Uf \in U to (f,f,f,…)∧(f, f, f, \ldots )^{\wedge } preserves distances, meaning that

d(f,g)=dV((f,f,f,…)∧,(g,g,g,…)∧) d(f, g) = d_{V}\left((f, f, f, \ldots )^{\wedge },(g, g, g, \ldots )^{\wedge }\right)

for all f,g∈Uf, g \in U.

(e)

Explain why (d) shows that every metric space is a subset of some complete metric space.