Properties of compact sets
[38/16%]Prove Theorem 4.1.
Theorem 4.1: in any metric space , sequential compactness of a set is equivalent to compactness of .
Let be an open cover of a metric compact . Prove that there exists such that every ball is contained in some element of the cover .
Prove that in a metric space a compact set is closed and bounded.
Prove that any subset of a precompact set is precompact.
Prove that in any finite-dimensional normed space precompactness is equivalent to boundedness.
Prove that in a discrete metric space, in the space , and in the space , a set is precompact if and only if it consists of a finite number of points.
Prove that if a mapping of metric spaces is continuous and is compact, then is compact in .
Prove that if a set is precompact in an incomplete metric space , then it is precompact also in the completion of this space1. Give a counterexample to the converse statement.
Definition 1.16: A metric space is called a completion of a metric space if: (1) is complete; (2) there is an isometric embedding such that the set is everywhere dense in .
Footnotes
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More precisely, if is a completion of the metric space (see Definition 1.16), where is an isometry, then is precompact in . ↩
Give an example of an incomplete metric space and a totally bounded, but not precompact, set in it (compare this problem with Theorem 4.2).
Theorem 4.2 (F. Hausdorff, 1914): In any metric space, precompactness of a set implies total boundedness of . In a complete metric space the converse also holds: every totally bounded set is precompact.
Prove that if a set in a metric space is totally bounded, then any sequence of points of the set contains a fundamental subsequence.
Prove that if for some a finite -net exists for a set of a metric space , then there exists a finite -net consisting of points of the set .
In the closed unit ball of the space , exhibit a sequence containing no fundamental subsequence.
Prove that in any infinite-dimensional normed space any ball (closed or open) is not precompact.
Prove that any precompact set in an infinite-dimensional Banach space is nowhere dense.
Prove that if in a normed space a set is precompact, then it is bounded and can be approximated with any precision by a finite-dimensional subspace, i.e., for any there exists a finite-dimensional subspace such that (see Definition 1.17). Prove the converse statement for a Banach space .
Definition 1.17: Let be a metric space, a nonempty set and . The distance from the point to the set is the number . Here, as in the book's text before this problem, the distance between two sets is denoted .
Let be a metric space, and let be a precompact set in it. Prove that is a separable metric space.
Let be a compact set in a Banach space . Prove that there exists a sequence such that .
Let be a metric space, and let be a boundedly compact set in it. Prove that for any point the distance from to is attained, i.e., there exists such that .
Let be a metric space, and let and be compact sets in it. Prove that (see Definition 1.17) for some and .
Definition 1.17: Let be a metric space, a nonempty set and . The distance from the point to the set is the number . Here, as in the book's text before problem 4.15, the distance between two sets is denoted .
Let be a metric space, and let be a compact set in it. Prove that for some .
Let be a metric compact. Prove that every subset of has a Chebyshev center.
Prove that the function satisfies the axioms of a metric.
Denote by the family of all subsets of a metric space consisting of a finite number of points. Prove that if is complete, then the space is a completion of the space .
Let be a metric compact. Prove that the space is also a compact.
Let be a complete metric space, and let be contraction mappings from to . Define the mapping
Prove that is a contraction mapping in .
Prove that the following sets are fixed points for certain contraction mappings. Find these mappings.
The Cantor set on the segment is a fixed point in the space .
The Sierpiński triangle is a fixed point in the space .
The Cantor staircase is a fixed point in the space .
The Cantor function is a fixed point in the set .
Let be a set in a complete metric space such that every real-valued function continuous on is bounded. Prove that is a compact.
Let be a set in a complete metric space such that every real-valued function continuous and bounded on attains its supremum and infimum. Prove that is a compact.
Let be a compact set in a complete metric space , where is also a complete metric space. Prove that the continuity of the mapping implies its uniform continuity.
Let be a set in a complete metric space such that every real-valued function continuous on is uniformly continuous. Prove that is a compact.
Let be a compact in a metric space , and let be a normed space. Denote by the set of continuous functions from to . Prove that the norm turns into a normed space (the linear operations are introduced pointwise), and if is a Banach space, then the space is also a Banach space. 1
Footnotes
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An important special case: or (compare with problem 2.61). ↩
(Dini, 1872). Let be a metric compact, and let the sequence of functions , continuously mapping into a normed space , converge to a continuous function pointwise, and for every
Prove that in the space . 1
Footnotes
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A special case of this theorem: , and the sequence for every increases monotonically (or for every decreases monotonically) to . ↩
Prove that if a set is compact in a metric space , and a mapping satisfies the inequality for any , then there exists a unique fixed point (compare with problem 1.74 and Theorem 1.4).
Theorem 1.4 (contraction mapping principle): let be a contraction mapping (i.e., there exists such that for all ) on a complete metric space . Then there exists a unique point such that ; this point is the limit of the recursively defined sequence with an arbitrary starting point .
Prove that in a metric space any isometric embedding of a compact into itself is an isometry of this compact (and show that this is false for an arbitrary closed bounded set).
Let be a complete metric space, a compact set in it, a mapping satisfying the inequality . Prove that is an isometry of the set .
Find the approximative dimension:
of the segment ;
of the square .
Find the approximative dimension:
of the Cantor set in the space ;
of the Sierpiński triangle in .