Let AA be a and let φ:A→C\varphi:A\to\mathbb C be a . The Cauchy–Schwarz inequality for φ\varphi is

∣φ(b∗a)∣2≤φ(a∗a) φ(b∗b)(a,b∈A).\left|\varphi(b^*a)\right|^2 \leq \varphi(a^*a)\,\varphi(b^*b) \qquad(a,b\in A).

It is the ordinary for the positive semidefinite sesquilinear form

⟨a,b⟩φ=φ(b∗a).\langle a,b\rangle_\varphi=\varphi(b^*a).

No faithfulness, unitality, or normalization of φ\varphi is required. When either factor on the right vanishes, the mixed term necessarily vanishes as well.

Derivation and equality

Positivity gives

0≤φ((a+λb)∗(a+λb))(λ∈C).0\leq \varphi\bigl((a+\lambda b)^*(a+\lambda b)\bigr) \qquad(\lambda\in\mathbb C).

If φ(b∗b)>0\varphi(b^*b)>0, choosing λ=−φ(b∗a)/φ(b∗b)\lambda=-\varphi(b^*a)/\varphi(b^*b) yields the displayed inequality. If φ(b∗b)=0\varphi(b^*b)=0, applying positivity first to a+λba+\lambda b shows directly that φ(b∗a)=0\varphi(b^*a)=0.

After quotienting by the zero-length vectors, equality holds precisely when the classes of aa and bb are linearly dependent. This is the usual equality criterion in the resulting pre-Hilbert space; it need not mean that aa and bb are linearly dependent inside AA.

Structure and consequences

The null space

Nφ={a∈A:φ(a∗a)=0}N_\varphi=\{a\in A:\varphi(a^*a)=0\}

is a left ideal. Indeed, Cauchy–Schwarz and a∗c∗ca≤∥c∥2a∗aa^*c^*ca\leq\lVert c\rVert^2a^*a show that ca∈Nφca\in N_\varphi whenever a∈Nφa\in N_\varphi. Consequently the form descends to A/NφA/N_\varphi; its Hilbert-space completion is the space used in the .

For a state on Mn(C)M_n(\mathbb C) of the form φ(x)=⟨xξ,ξ⟩\varphi(x)=\langle x\xi,\xi\rangle, the inequality becomes the usual Cauchy–Schwarz inequality for the vectors aξa\xi and bξb\xi. Positivity is decisive: an arbitrary bounded linear functional need not make φ(b∗a)\varphi(b^*a) into a positive semidefinite form and need not satisfy this inequality.

References
  1. Gerard J. Murphy, C-Algebras and Operator Theory*, Academic Press, 1990. Elsevier DOI record. Relevant: §3.3 on positive linear functionals and their Cauchy–Schwarz inequality.