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
Extreme Values on Compact Domains for metric spaces with definitions, theorem proofs, examples, exercises, answers, and BMLabs compactness notes.
Understand the central mathematical ideas of Extreme Values on Compact Domains.
Interpret the principal results and their mathematical conditions.
Follow and justify the main proof strategy step by step.
Apply the method to representative examples and problems.
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Definitions establish the language; results explain the structure; examples prepare you to solve.
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Definitions
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Results
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Applications
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5 concepts
2 guided steps
3 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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Visual tools
Local progress
Lesson profile
theorem
Let be compact and let be continuous. Then is bounded and attains its maximum and minimum.
introductory
Interactive concept atlas
13 concepts · 16 relationships · auto mode
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Extreme Values on Compact Domains Concept Map. 13 concepts.
Practice
2 practice items
Having moved through the preceding compactness ideas, we now study extreme values on compact domains. The focus keyword for this lesson is extreme values on compact domains. 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 compact and let be continuous. Then is bounded and attains its maximum and minimum.
Given that is compact and is continuous. To prove the theorem. The set is compact in , hence closed and bounded. Therefore its supremum and infimum belong to . Thus attains maximum and minimum values.
The function on is continuous but unbounded. The function on is bounded but does not attain .
If is compact and is nonempty, the distance from to is attained at some point of .
The map is continuous on compact , so it attains its minimum.
[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
Continue learning
Review the definitions, proofs, and examples before moving to the next compactness idea.