Fall 2018 - Problem 4

measure theory

Let T\T be the unit circle in the complex plane C\C and for each αT\alpha \in \T define the rotation map Rα ⁣:TT\func{R_\alpha}{\T}{\T} by Rα(z)=αzR_\alpha\p{z} = \alpha z. A Borel probability measure μ\mu on T\T is called α\alpha-invariant if μ(Rα(E))=μ(E)\mu\p{R_\alpha\p{E}} = \mu\p{E} for all Borel sets ETE \subseteq \T.

  1. Let mm be Lebesgue measure on T\T (defined, for instance, by identifying T\T with [0,1)\pco{0, 1} through the exponential function). Show that for every αT\alpha \in \T, MM is α\alpha-invariant.
  2. Prove that if α\alpha is not a root of unity, then the set of powers {αnnZ}\set{\alpha^n \mid n \in \Z} is dense in T\T.
  3. Prove that, if we fix a single αT\alpha \in \T which is not a root of unity, then mm is the only α\alpha-invariant Borel probability measure on T\T.
Solution.
  1. Given a Borel set EE, we have

    m(Rα(E))=01χRα(E)(e2πix)dx=01χE(e2πi(xα))dx=m(E),m\p{R_\alpha\p{E}} = \int_0^1 \chi_{R_\alpha\p{E}}\p{e^{2\pi ix}} \,\diff{x} = \int_0^1 \chi_E\p{e^{2\pi i\p{x-\alpha}}} \,\diff{x} = m\p{E},

    since the Lebesgue measure is translation invariant and e2πixe^{2\pi ix} is 11-periodic.

  2. If α\alpha is not a root of unity, then α\alpha must be irrational. Indeed, if this were not the case, then α=ab\alpha = \frac{a}{b} for some integers a,ba, b, so

    (e2πiα)b=(e2πia/b)b=e2πia=1,\p{e^{2\pi i\alpha}}^b = \p{e^{2\pi ia/b}}^b = e^{2\pi ia} = 1,

    i.e., α\alpha is a root of unity. Since α\alpha is irrational, it follows that {αnnZ}\set{\alpha^n \mid n \in \Z} are all distinct. Otherwise, if αn=αm\alpha^n = \alpha^m, then

    e2πinα=e2πimα    e2πi(nm)α=1    (e2πiα)nm=1,e^{2\pi in\alpha} = e^{2\pi im\alpha} \implies e^{2\pi i\p{n-m}\alpha} = 1 \implies \p{e^{2\pi i\alpha}}^{n-m} = 1,

    i.e., α\alpha would be a root of unity. Hence, the powers of α\alpha are all distinct, so they form an infinite subset of the compact space T\T. Thus, they must accumulate, so for any ε>0\epsilon > 0, there exist n,mZn, m \in \Z so that

    e2πi(nm)α1=e2πinαe2πimαε.\abs{e^{2\pi i\p{n-m}\alpha} - 1} = \abs{e^{2\pi in\alpha} - e^{2\pi im\alpha}} \leq \epsilon.

    Thus,

    T=k=1B((e2πi(nm)α)k,ε),\T = \bigcup_{k=1}^\infty B\p{\p{e^{2\pi i\p{n-m}\alpha}}^k, \epsilon},

    so the powers of α\alpha are dense.

  3. Let μ\mu be a Borel probability measure which is α\alpha-invariant on T\T. We will show that μ\mu is rotation invariant: let βT\beta \in \T and ε>0\epsilon > 0. By density, there exists {αnk}k\set{\alpha^{n_k}}_k so that αnkβ\alpha^{n_k} \to \beta in T\T. Then

    μ(E)=μ(Rαnk(E))=01χRαnk(E)(e2πiθ)dμ(θ)=01χE(e2πi(θnkα))dμ(θ).\mu\p{E} = \mu\p{R_{\alpha^{n_k}}\p{E}} = \int_0^1 \chi_{R_{\alpha^{n_k}}\p{E}}\p{e^{2\pi i\theta}} \,\diff\mu\p{\theta} = \int_0^1 \chi_E\p{e^{2\pi i\p{\theta-n_k\alpha}}} \,\diff\mu\p{\theta}.

    Since μ\mu is a probability measure, the integrand is bounded by 11, which is L1(μ)L^1\p{\mu}, so by dominated convergence,

    μ(E)=limn01χE(e2πi(θnkα))dμ(θ)=01χE(e2πi(θβ))dμ(θ)=μ(Rβ(E)),\mu\p{E} = \lim_{n\to\infty} \int_0^1 \chi_E\p{e^{2\pi i\p{\theta-n_k\alpha}}} \,\diff\mu\p{\theta} = \int_0^1 \chi_E\p{e^{2\pi i\p{\theta-\beta}}} \,\diff\mu\p{\theta} = \mu\p{R_\beta\p{E}},

    so μ\mu is rotation-invariant. Now, observe that

    1=μ(T)=k=0n1μ([kn,k+1n])=nμ([kn,k+1n])    μ([kn,k+1n])=1n=m([kn,k+1n])\begin{gathered} 1 = \mu\p{\T} = \sum_{k=0}^{n-1} \mu\p{\br{\frac{k}{n}, \frac{k+1}{n}}} = n\mu\p{\br{\frac{k}{n}, \frac{k+1}{n}}} \\ \implies \mu\p{\br{\frac{k}{n}, \frac{k+1}{n}}} = \frac{1}{n} = m\p{\br{\frac{k}{n}, \frac{k+1}{n}}} \end{gathered}

    for any k=0,,n1k = 0, \ldots, n-1, so μ\mu agrees with mm on rational intervals, hence on any interval, by dominated convergence. Thus, because intervals generate the Borel σ\sigma-algebra, it follows that μ=m\mu = m, which was what we wanted to show.