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
Learn pseudometrics, zero-distance equivalence classes, and quotient metrics that convert pseudometrics into metrics.
Understand the central mathematical ideas of Pseudometrics and Quotient Metrics.
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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Definitions
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Proofs
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definition
Let be a nonempty set. A function is called a on if for all : (i) . (ii) If , then . (iii) . (iv) . A pseudometric may have even when .
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Pseudometrics and Quotient Metrics Concept Map. 17 concepts.
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Definitions
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2 practice items
A pseudometric keeps most metric axioms but permits distinct points to have zero distance. This occurs naturally in analysis when two objects differ only on a negligible set or when a formula ignores part of the data. The quotient construction repairs this by identifying all zero-distance points and then defining a genuine metric on equivalence classes.
Let be a nonempty set. A function is called a on if for all : (i) . (ii) If , then . (iii) . (iv) . A pseudometric may have even when .
Let and define for and . Then is a pseudometric but not a metric.
Given that on . To prove that is a pseudometric but not a metric. The first, third, and fourth conditions follow from the absolute value on the second coordinate. If , then , so . However, for and , we have and . Hence is not a metric.
Let be the set of all Riemann integrable functions on . Define
Then is a pseudometric on . It is not a metric on the full class of Riemann integrable functions because functions that differ at finitely many points may have zero integral distance.
Let be a pseudometric space. Define a relation on by
This is the .
Given that if and only if . To prove that is an equivalence relation. Reflexivity follows from . Symmetry follows from . If and , then and . By the triangle inequality,
Since , we get , so . Hence is an equivalence relation.
Let be a pseudometric space and define if and only if . On , define
Then is a metric on .
Given that . To prove that is a metric. If and , then and . The triangle inequality gives , and the reverse inequality follows similarly. Thus is well-defined. The metric axioms then follow from the pseudometric axioms, and identity of indiscernibles follows from
Hence is a metric.
[1] State the difference between a metric and a pseudometric. [2] For , give distinct points at distance zero. [3] Define the quotient metric induced by a pseudometric.
[1] A metric requires zero distance only between equal points; a pseudometric may assign zero distance to distinct points. [2] and have distance zero. [3] It is on the equivalence classes determined by .
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Next, study metrics on spaces obtained by adding points at infinity.