Equivalent metrics
Definition
Let be a set and let and be metrics on . The metrics and are equivalent when they have the same open sets, that is, when they give the same metric topology on . The metrics are strongly equivalent when there are real numbers and with
Remarks
Strongly equivalent metrics are equivalent: each ball for one metric contains a ball with the same centre for the other metric. On , the taxicab metric, the Euclidean metric and the sup metric are strongly equivalent. On , the metrics and are equivalent but not strongly equivalent, because only the second one is bounded. Equivalent metrics have the same convergent sequences and the same continuous maps. Completeness can change: see the Remarks of complete metric space.
Explanations
L1 human
Equivalent metrics can give different numbers for distances, but they agree on which points are near each other. For example, on the plane, the taxicab distance is never more than times the straight distance, and never less than it.
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14 nodes use this node, directly or through other nodes.
- Equivalence of norms in finite dimension 03MC70ZRNR
- Absolutely convergent series in a Banach space converge 082MGNWNA8
- Sequence spaces lp 08P6T2WH6R
- Riesz's lemma 097C7KCAT5
- Finite-dimensional normed spaces are complete 0ABP2F2ZP7
- Banach space 0BDTTM24DP
- Linear maps on finite-dimensional spaces are continuous 0C13E623WD
- Bounded linear maps are continuous 0F3K4C7XYW
- Equivalent norms 0J3578562S
- p-norm on R^n 0KNJWEVSMG
- Heine–Borel theorem in finite-dimensional normed spaces 0PHT6NBYPB
- Continuous linear map 0S3SMRH0Z5
- Compact closed unit ball implies finite dimension 0VZVV8VME5
- Operator norm 0ZTEH055YF
Sources
- Web https://en.wikipedia.org/wiki/Equivalence_of_metrics, Topological equivalence
- Web https://en.wikipedia.org/wiki/Equivalence_of_metrics, Strong equivalence
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- Equivalent norms 0J3578562S