On H=L2(R,dx)H=L^2(\mathbb R,dx), define

(Mtf)(x)=eitxf(x),t∈R.(M_t f)(x)=e^{itx}f(x),\qquad t\in\mathbb R.

The modulation group (Mt)t∈R(M_t)_{t\in\mathbb R} is a of (R,+)(\mathbb R,+), but it is not operator-norm continuous:

∥Mt−I∥op=2(t≠0).\|M_t-I\|_{\mathrm{op}}=2\qquad(t\ne0).
Two continuity calculations

For a fixed f∈L2f\in L^2,

∥(Mt−I)f∥22=∫R∣eitx−1∣2∣f(x)∣2 dx⟶0\|(M_t-I)f\|_2^2=\int_{\mathbb R}|e^{itx}-1|^2|f(x)|^2\,dx\longrightarrow0

by , using the integrable bound 4∣f∣24|f|^2. By contrast, the norm of a bounded is the essential supremum of its multiplier. For nonzero tt, the values of ∣eitx−1∣|e^{itx}-1| approach 22 on sets of positive measure, giving the operator-norm formula.

Generator and its domain

With the Mt=eitQM_t=e^{itQ},

Qf=xf,Dom⁡(Q)={f∈L2:xf∈L2}.Qf=xf,\qquad\operatorname{Dom}(Q)=\{f\in L^2:xf\in L^2\}.

The norm derivative is Kf=ixfKf=ixf on this domain. On it, ∣(eitx−1)/t∣≤∣x∣|(e^{itx}-1)/t|\leq |x| proves convergence of the difference quotient in L2L^2; conversely an L2L^2 derivative forces the pointwise candidate ixfixf to lie in L2L^2.

Finite versus infinite differentiability

The are exactly {f:xkf∈L2}\{f:x^k f\in L^2\}. For example, (1+x2)−1(1+x^2)^{-1} is a C1C^1 vector but not a C2C^2 vector. The smooth vectors for this one-parameter group have every polynomial weight in L2L^2; no spatial differentiability is required until translation operators are also included.