Dynamical systems and ergodic theory Ergodic theory Theorem
Halmos–von Neumann theorem
Builds on Standard probability spaceMeasure-preserving transformationErgodic transformationKoopman operatorSpectral theory of dynamical systemsEigenvalueHaar measure
Statement
Let on and on be invertible ergodic measure-preserving transformations of standard probability spaces, with measurable inverses. Assume both have discrete spectrum, in the sense of the spectral theory of dynamical systems. This means that has an orthonormal basis of eigenvectors of the Koopman operator. Let be the set of eigenvalues of the Koopman operator of .
- and are isomorphic if and only if .
- is a countable subgroup of the unit circle. Moreover, is isomorphic to a rotation of a compact metrizable abelian group with its Haar measure, where is dense in .
Remarks
Here isomorphic means conjugate by a measure-preserving bijection defined up to null sets. For part 1, ergodicity makes every eigenvalue simple and every eigenfunction of constant modulus, so a product of eigenfunctions is again an eigenfunction and is a group. Choose for each an eigenfunction of modulus ; the products and differ by constants. The proof adjusts these constants, which is possible because the circle group is divisible. It then matches the eigenfunctions of and to build a unitary map that preserves products, and such a map comes from an isomorphism of the spaces. For part 2, is the Pontryagin dual of with the discrete topology, and is the inclusion character. Example: for an irrational , the rotation has . So two irrational rotations by and are isomorphic exactly when . Without the discrete spectrum hypothesis the eigenvalues do not determine the system: all weakly mixing systems have .
Going deeper
For a student
This is the first complete classification theorem in ergodic theory, obtained by Halmos and von Neumann in 1942. It shows the power of spectral methods in the class where the spectrum is discrete, and it is the model case for the spectral theory of dynamical systems. For systems with continuous spectrum spectral invariants are far from complete, which motivated the search for other invariants such as the Kolmogorov–Sinai entropy.
Reading path
To understand this page from the ground up, read these 8 pages in order. The foundations come first.
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- no evidence level
- Eigenvalue concept
- Ergodic transformation concept
- Haar measure concept
- Koopman operator concept
- Measure-preserving transformation concept
- Spectral theory of dynamical systems concept
- Standard probability space concept
- Halmos–von Neumann theorem statement
Further reading
About this page
| Tag | AS18AWFXSB |
|---|---|
| URI | m2://AS18AWFXSB |
| Kind | statement, theorem |
| Writing | W0 stub |
| MSC | 37A30, 37A35, 37A05 |
| Status | This copy of the site has no build data. Run m2 status AS18AWFXSB. |
| About | Spectral theory of dynamical systems |
| Uses | Standard probability space, Measure-preserving transformation, Ergodic transformation, Koopman operator, Spectral theory of dynamical systems, Eigenvalue, Haar measure |
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