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    The Cayley transform of a self-adjoint operator

    E-HK-84-7

    Area
    Algebra
    Topics
    Adjoint Operators, Linear Algebra, Unitary Operators
    Status
    draft

    Let \(V\) be a complex inner product space and \(T\) a self-adjoint linear operator on \(V\). Show that

    1. \(||\alpha + iT\alpha|| = ||\alpha - iT\alpha||\) for every \(\alpha\) in \(V\).

    2. \(\alpha + iT\alpha = \beta + iT\beta\) if and only if \(\alpha = \beta\).

    3. \(I + iT\) is non-singular.

    4. \(I - iT\) is non-singular.

    5. Now suppose \(V\) is finite-dimensional, and prove that \[ U = (I - iT)(I + iT)^{-1} \] is a unitary operator; \(U\) is called the Cayley transform of \(T\). In a certain sense, \(U = f(T)\), where \(f(x) = (1 - ix)/(1 + ix)\).

    Solution

    Goal. For a self-adjoint operator \(T\), prove the five facts about \(I \pm iT\) and the Cayley transform \(U = (I - iT)(I + iT)^{-1}\).

    1. (a) \(\|\alpha + iT\alpha\| = \|\alpha - iT\alpha\|\).

    1.1. \(\|\alpha + iT\alpha\|^2 = \langle \alpha + iT\alpha, \alpha + iT\alpha\rangle\).

    definition of the norm.

    1.2. Expanding: \(\|\alpha\|^2 + \langle \alpha, iT\alpha\rangle + \langle iT\alpha, \alpha\rangle + \|T\alpha\|^2\).

    bilinearity of the inner product.

    1.3. \(\langle \alpha, iT\alpha\rangle = -i\langle \alpha, T\alpha\rangle\) and \(\langle iT\alpha, \alpha\rangle = i\langle T\alpha, \alpha\rangle = i\langle \alpha, T\alpha\rangle\) (since \(T\) is self-adjoint).

    conjugate-linearity in the first slot and self-adjointness.

    1.4. Hence \(\|\alpha + iT\alpha\|^2 = \|\alpha\|^2 + \|T\alpha\|^2\).

    the cross terms cancel.

    1.5. Similarly \(\|\alpha - iT\alpha\|^2 = \|\alpha\|^2 + \|T\alpha\|^2\).

    same computation with \(-i\) in place of \(i\).

    1.6. Hence the two norms are equal.

    2.4 and 2.5.

    2. (b) \(\alpha + iT\alpha = \beta + iT\beta\) iff \(\alpha = \beta\).

    2.1. \(\alpha + iT\alpha = \beta + iT\beta\) implies \((\alpha - \beta) + iT(\alpha - \beta) = 0\).

    subtract.

    2.2. Then \(\|(\alpha - \beta) + iT(\alpha - \beta)\| = 0\), so by (a) \(\|(\alpha-\beta) - iT(\alpha-\beta)\| = 0\).

    apply (a) to \(\alpha - \beta\).

    2.3. Adding the two equations \((\alpha-\beta) + iT(\alpha-\beta) = 0\) and \((\alpha-\beta) - iT(\alpha-\beta) = 0\) gives \(2(\alpha - \beta) = 0\), so \(\alpha = \beta\).

    the second equation follows from 2.2 (a vector of norm zero is zero).

    3. (c) \(I + iT\) is nonsingular.

    3.1. If \((I + iT)\alpha = 0\), then \(\alpha + iT\alpha = 0\), so \(\alpha = 0\) by (b).

    1. with \(\beta = 0\).

    3.2. Hence \(I + iT\) is injective, so nonsingular.

    a linear operator with trivial kernel is nonsingular.

    4. (d) \(I - iT\) is nonsingular.

    4.1. If \((I - iT)\alpha = 0\), then \(\alpha - iT\alpha = 0\), so \(\alpha = 0\) by (b) (with \(T\) replaced by \(-T\), which is also self-adjoint).

    same argument as (c).

    5. (e) \(U = (I - iT)(I + iT)^{-1}\) is unitary (for \(V\) finite-dimensional).

    5.1. \(U^* = (I + iT)^{-1}(I - iT)^* = (I + iT)^{-1}(I + iT)\).

    \((I - iT)^* = I + iT\) (since \(T^* = T\)), and \((I + iT)^{-1}\) commutes with \(I - iT\) (both are polynomials in \(T\)).

    5.2. \(U^* U = (I + iT)^{-1}(I + iT)(I - iT)(I + iT)^{-1} = I\).

    \((I + iT)\) and \((I - iT)\) commute (polynomials in \(T\)), so the middle terms cancel.

    5.3. Hence \(U\) is unitary.

    \(U^* U = I\) (and \(U U^* = I\) similarly).

    6. Q.E.D.

    <1>1–<1>5 prove (a)–(e).