Measure and integration Definition
Self-similar measure
Builds on Probability measurePushforward measureContraction mapping
Definition
Let and . For let be a similarity with ratio , that is, for all . Let with . A Borel probability measure on is self-similar for if where is the pushforward measure.
Remarks
Each is a contraction. Hutchinson's theorem says that there is exactly one compactly supported such . It is the fixed point of a contraction on a space of measures, and its support is the attractor of . Example: on let , and , and let be Lebesgue measure on . The measure is uniform on with density , and is uniform on with density . Their average has density on , so it equals , and is self-similar. Non-example: with the same maps and , , the average has density on , so is not self-similar for these weights. The Cantor measure is self-similar for , and .
Reading path
To understand this page from the ground up, read these 4 pages in order. The foundations come first.
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- no evidence level
- Contraction mapping concept
- Probability measure concept
- Pushforward measure concept
- Self-similar measure definition
Further reading
About this page
| Tag | 20NQDPWS3J |
|---|---|
| URI | m2://20NQDPWS3J |
| Kind | definition |
| Writing | W0 stub |
| MSC | 28A80 |
| Defines | Self-similar measure |
| Uses | Probability measure, Pushforward measure, Contraction mapping |
| Changed | 2 November 2026 |
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