Definition 1.21: A subset X ⊆ ℝ is sequentially compact if every sequence in X has a
convergent subsequence whose limit belongs to X.
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The book's sequential compactness is the same as IsSeqCompact.
Theorem 1.5 (Heine--Borel theorem on ℝ): For X ⊆ ℝ, the following are equivalent:
(i) X is closed and bounded.
(ii) Every sequence (x_n) in X has a subsequence (x_{n_k}) converging to a limit x ∈ X.
Definition 1.22 (Compactness): A metric space (X,d) is compact if every sequence (x_n) in
X has a strictly increasing k : ℕ → ℕ and a point x ∈ X with d (x_{k(n)}) x → 0. A subset
Y ⊆ X is compact in X if the induced metric on Y is compact.
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Book's compactness of a metric space, expressed as sequential compactness.
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The book's compactness of a metric space is equivalent to SeqCompactSpace.
Book's compactness for a subset of a metric space, expressed as IsSeqCompact.
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The book's compact subset notion is equivalent to IsSeqCompact.
Definition 1.23 (Bounded sets): In a metric space (X,d), a subset Y is bounded if there
exist x ∈ X and r ∈ ℝ with 0 ≤ r < ∞ such that Y ⊆ B(x,r) = {y ∈ X : d(x,y) < r}. The
metric space (X,d) is bounded if the set X is bounded.
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- IsBoundedSubset Y = (Y = ∅ ∨ ∃ (x : X) (r : ℝ), 0 ≤ r ∧ Y ⊆ Metric.ball x r)
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The book's boundedness for subsets agrees with Bornology.IsBounded.
The book's boundedness of a metric space matches BoundedSpace.
A metric space is bounded iff its underlying set is bounded in the book's sense.
Definition 1.24: In a metric space (X,d), a subset K ⊆ X is compact if every open cover
of K has a finite subcover; i.e. for every family of open sets (U_i)_{i ∈ I} in X with
K ⊆ ⋃ i, U_i, there exist indices i₁, …, iₙ ∈ I such that
K ⊆ U_{i₁} ∪ … ∪ U_{iₙ}.
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The book's open-cover compactness for subsets agrees with IsCompact.
Definition 1.25 (Compactness via open covers): A topological space Y is compact if every
open cover of Y has a finite subcover.
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The book's open-cover compactness for a space agrees with CompactSpace.
Definition 1.26: A metric space (X,d) is totally bounded if for every ε > 0 there exist
n ∈ ℕ and points x^(1), …, x^(n) ∈ X such that X = ⋃_{i=1}^n B(x^(i), ε).
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The book's totally boundedness is equivalent to a finite cover by metric balls.
Helper for Proposition 1.28: sequential compactness of the book gives CompactSpace.
Helper for Proposition 1.28: compact metric spaces are complete.
Helper for Proposition 1.28: compact metric spaces are bounded.
Proposition 1.28: A compact metric space is complete and bounded.
If a metric space is compact (in the book's sense), then it is complete and bounded.
Helper for Theorem 1.6: a compact subset of a metric space is closed.
Theorem 1.6: (Compact subsets of metric spaces are closed and bounded) Let (X,d) be a metric
space and let Y ⊆ X be compact. Then: (i) Y is closed in X. (ii) Y is bounded, i.e. there
exist x₀ ∈ X and R > 0 such that Y ⊆ {x ∈ X : d x x₀ ≤ R}.
A compact subset of a metric space is closed and bounded.
Theorem 1.7 (Heine--Borel theorem): Let n ∈ ℕ, and let d be the Euclidean metric, the
taxicab metric, or the sup norm metric on ℝ^n. For a set E ⊆ ℝ^n, the following are
equivalent: (i) E is compact (every open cover admits a finite subcover). (ii) E is closed
and bounded.
Heine--Borel on ℝ^n: compactness is equivalent to closedness and boundedness.
Helper for Theorem 1.8: sequential compactness of a subset implies compactness.
Theorem 1.8: Let (X,d) be a metric space, let Y ⊆ X be compact, and let (V_α)_{α∈A} be a
family of open subsets of X with Y ⊆ ⋃ α, V α. Then there exists a finite F ⊆ A such that
Y ⊆ ⋃ α ∈ F, V α.
Helper for Theorem 1.9: open-cover finite-subcover property implies compactness of Set.univ.
Theorem 1.9 (Heine--Borel property implies compactness): Let Y be a topological space. If
every open cover of Y admits a finite subcover, then Y is compact.
Theorem 1.10: Let (K_n)_{n∈ℕ} be a sequence of nonempty compact subsets of a metric space
(X,d) such that K_{n+1} ⊆ K_n for all n. Then ⋂ n, K n is nonempty.
Nested nonempty compact sets have nonempty intersection.
Theorem 1.11: For a metric space (X,d) and a nested sequence of nonempty compact subsets
K n with K (n+1) ⊆ K n, the intersection ⋂_{n=1}^∞ K_n is nonempty.
A nested sequence of nonempty compact subsets has nonempty intersection starting at n = 1.
Helper for Theorem 1.12: compactness of univ in the subtype of a compact set.
Theorem 1.12: Let (X,d) be a metric space.
(a) If Y ⊆ X is compact and Z ⊆ Y, then Z is compact iff Z is closed in Y.
(b) If Y₁, …, Yₙ ⊆ X are compact, then ⋃ i, Yᵢ is compact.
(c) Every finite subset of X (including ∅) is compact.
Theorem 1.12(a): In a compact subset Y of a metric space, Z ⊆ Y is compact iff it is
closed in Y.
Theorem 1.12(b): A finite union of compact subsets is compact.
Theorem 1.12(c): Every finite subset of a metric space is compact.
Theorem 1.13 (Equivalence of sequential compactness and open cover compactness): Let (X,d)
be a metric space. The following are equivalent: (i) every sequence in X has a convergent
subsequence; (ii) every open cover of X has a finite subcover.
In a metric space, sequential compactness is equivalent to open-cover compactness.
Helper for Proposition 1.29: discrete distance on ℤ, 0 on the diagonal and 1 off it.
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Helper for Proposition 1.29: the discrete distance on ℤ is zero on the diagonal.
Helper for Proposition 1.29: the discrete distance on ℤ is symmetric.
Helper for Proposition 1.29: the discrete distance on ℤ satisfies the triangle inequality.
Helper for Proposition 1.29: zero discrete distance on ℤ implies equality.
Helper for Proposition 1.29: the metric space structure on ℤ induced by intDiscreteDist.
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- One or more equations did not get rendered due to their size.
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- instDistInt_books = { dist := intDiscreteDist }
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Helper for Proposition 1.29: in the discrete metric on ℤ, distance < 1/2 forces equality.
Helper for Proposition 1.29: the discrete metric on ℤ induces the discrete topology.
Helper for Proposition 1.29: completeness of the discrete metric on ℤ.
Helper for Proposition 1.29: boundedness of the discrete metric on ℤ.
Helper for Proposition 1.29: ℤ with the discrete metric is not compact.
Proposition 1.29: Let (X,d) be a metric space and equip ℤ with the discrete metric
d(m,n)=1 when m ≠ n (and 0 otherwise). Then ℤ is complete and bounded, but not compact.
Helper for Proposition 1.36: every integer lies in the ball of radius 2 around 0.
Helper for Proposition 1.36: univ is bounded for the discrete metric on ℤ.
Helper for Proposition 1.36: univ is not compact in the discrete metric on ℤ.
Proposition 1.36: [Heine-Borel fails for discrete metric on ℤ]
In the discrete metric on ℤ, the set ℤ is closed and bounded, but not compact.
In the discrete metric on ℤ, the whole space is closed and bounded but not compact.