Metric Spaces
Comprehensive module covering 5 sections in Functional Analysis.
REPOSITORY
BMLABS MATHEMATICS REPOSITORY
mathematics.bmlabs.co.in
Author
Dr. Bivash Majumder
Assistant Professor in Mathematics
Prabhat Kumar College, Contai
Functional Analysis · Metric Spaces
Closedness and Boundedness of Compact Sets for metric spaces with definitions, theorem proofs, examples, exercises, answers, and BMLabs compactness notes.
Understand the central mathematical ideas of Closedness and Boundedness of Compact Sets.
Use the key definitions and notation accurately.
Interpret the principal results and their mathematical conditions.
Follow and justify the main proof strategy step by step.
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1 worked items
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Definitions
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Theorems
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Lemmas
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Corollaries
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Proofs
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Examples
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Exercises
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Lesson profile
definition
Let be a metric space. Then is if there exists such that for all .
definition
theorem
Let be a metric space. If is compact, then is closed and bounded.
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Closedness and Boundedness of Compact Sets Concept Map. 14 concepts.
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Definitions
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2 practice items
Having moved through the preceding compactness ideas, we now study closedness and boundedness of compact sets. The focus keyword for this lesson is closedness and boundedness of compact sets. This page records the definitions, theorems, proofs, examples, and practice items needed for undergraduate work in compactness and its consequences in metric spaces.
Let be a metric space. Then is if there exists such that for all .
For a nonempty subset of a metric space, define
The set is bounded if its diameter is finite.
Let be a metric space. If is compact, then is closed and bounded.
Given that is compact. To prove that is closed and bounded. Balls centred at one fixed point cover , so finitely many give boundedness. If , compactness lets finitely many neighbourhoods of points of be chosen so that a small ball around misses all of . Hence the complement of is open, so is closed.
An infinite set with the discrete metric is bounded and closed, but the singleton cover has no finite subcover. Thus closed and bounded need not imply compact in arbitrary metric spaces.
[1] State the main definition or theorem from this lesson. [2] Give one example where the hypothesis is used. [3] Explain one common mistake related to this topic.
[1] See the first formal block of the lesson. [2] The examples in the lesson provide standard choices. [3] A common mistake is to apply a Euclidean compactness rule in an arbitrary metric space.
Questions to consolidate
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Review the definitions, proofs, and examples before moving to the next compactness idea.