Metric subspaces and products of metric spaces

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Suppose G1G_{1} is a nonempty subset of Rm\mathbb {R}^{m} and G2G_{2} is a nonempty subset of Rn\mathbb {R}^{n}. Prove that G1×G2G_{1} \times G_{2} is an open subset of Rm×Rn\mathbb {R}^{m} \times \mathbb {R}^{n} if and only if G1G_{1} is an open subset of Rm\mathbb {R}^{m} and G2G_{2} is an open subset of Rn\mathbb {R}^{n}.

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Remark.
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One direction of this result was already proved (see 5.36); both directions are stated here to make the result look prettier and to be comparable to the next exercise, where neither direction has been proved.

Suppose F1F_{1} is a nonempty subset of Rm\mathbb {R}^{m} and F2F_{2} is a nonempty subset of Rn\mathbb {R}^{n}. Prove that F1×F2F_{1} \times F_{2} is a closed subset of Rm×Rn\mathbb {R}^{m} \times \mathbb {R}^{n} if and only if F1F_{1} is a closed subset of Rm\mathbb {R}^{m} and F2F_{2} is a closed subset of Rn\mathbb {R}^{n}.

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Prove that the set of all rational numbers between 2\sqrt{2} and π\pi is a closed set in the metric space Q\mathbb {Q} with the distance d(x,y)=∣x−y∣d(x, y)=\left|x-y\right|.

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Let F⊂RF \subset \mathbb {R} be a closed set that is contained in the disjoint union of intervals (a,b)(a, b) and (c,d)(c, d). Prove that F∩(a,b)F \cap (a, b) is a closed set.

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Let A,BA, B be closed subsets of R\mathbb {R}. Prove that A×BA \times B is a closed subset of R2\mathbb {R}^{2}.

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Prove Proposition 2.

Proposition 2: Let XX be a subspace of the metric space YY and EE a subset of XX. Then EE is open in XX if and only if E=X∩OE = X \cap O, where OO is open in YY.

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Let XX be a subspace of the metric space YY and AA a subset of XX. Show that AA is closed in XX if and only if A=X∩FA = X \cap F, where FF is closed in YY.

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Let XX be a subspace of the metric space YY.

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(i)

If O\mathcal{O} is an open subset of the metric subspace XX, is O\mathcal{O} an open subset of YY ? What if XX is an open subset of YY ?

(ii)

If FF is a closed subset of the metric subspace XX, is FF a closed subset of YY ? What if XX is a closed subset of YY ?

For a metric space (X,ρX, \rho), show that the metric ρ:X×X→R\rho : X \times X \rightarrow \mathbb {R} is continuous, where X×XX \times X has the product metric.

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Show that the product topology on nn-fold product of R\mathbb {R} is the same as the metric topology on Rn\mathbb {R}^{n} induced by the Euclidean metric.

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Let (X,ρ1X, \rho_{1}) and (Y,ρ2Y, \rho_{2}) be metric spaces. Show that the product topology on X×YX \times Y, where XX and XX have the topologies induced by their respective metrics, is the same as the topology induced by the product metric

ρ((x1,y1),(x2,y2))=[ρ1(x1,x2)]2+[ρ2(y1,y2)]2 \rho \left(\left(x_{1}, y_{1}\right),\left(x_{2}, y_{2}\right)\right) = \sqrt{\left[\rho _{1}\left(x_{1}, x_{2}\right)\right]^{2}+\left[\rho _{2}\left(y_{1}, y_{2}\right)\right]^{2}}
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Consider the countable collection of metric spaces {(Xn,ρn)}n=1∞\left\{ \left(X_{n}, \rho_{n}\right)\right\}_{n = 1}^{\infty }. For the Cartesian product of these sets X=∏n=1∞XnX = \prod_{n = 1}^{\infty } X_{n}, define ρ:X×X→R\rho : X \times X \rightarrow \mathbb {R} by

ρ(x,y)=∑n=1∞ρn(xn,yn)2n[1+ρn(xn,yn)] \rho (x, y) = \sum _{n = 1}^{\infty } \frac{\rho _{n}\left(x_{n}, y_{n}\right)}{2^{n}\left[1+\rho _{n}\left(x_{n}, y_{n}\right)\right]}

Use the preceding problem to show that ρ\rho is a metric on X=∏n=1∞XnX = \prod_{n = 1}^{\infty } X_{n} which induces the product topology on XX, where each XnX_{n} has the topology induced by the metric ρn\rho_{n}.

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Let XX be a metric space. Show that the map ψ:(x,y)→d(x,y)\psi :(x, y) \rightarrow d(x, y) is continuous. Deduce that ψ\psi is B(X2)\B(R)\mathcal{B}\left(X^{2}\right) \backslash \mathcal{B}(\mathbb {R})-measurable. If XX is separable, deduce that ψ\psi is B(X)⊗B(X)\B(R)\mathcal{B}(X) \otimes \mathcal{B}(X) \backslash \mathcal{B}(\mathbb {R})-measurable, and hence ω↦d(X(ω),Y(ω))\omega \mapsto d(X(\omega ), Y(\omega )) is measurable if XX and YY are random elements of XX.

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References

[Axl19] Axler S. Measure, Integration & Real Analysis. 3rd ed., Springer, 2019.
[Pet25] Petrovic J.S. Measure and Integral: Theory and Practice. CRC Press, 2025.
[RoFi23] Royden H.L., Fitzpatrick P.M. Real Analysis. 5th ed., Pearson, 2023.
[Pol02] Pollard D. A User's Guide to Measure Theoretic Probability. Cambridge University Press, 2002.