Proposition 5.7 (1): if C is a nonempty closed convex subset of a real Hilbert space and
xₙ is Fejer monotone with respect to C, then the projection shadow n ↦ P (xₙ n) converges
strongly to some z ∈ C, where
P := projectionPoint C (isChebyshev_of_nonempty_isClosed_convex hC_nonempty hC_closed hC_convex).
Proposition 5.7 (2): for a Fejér-monotone sequence and any two points z, x ∈ C, the
squared-distance sequences from xₙ to z and to x admit real limits. This is the source-facing
two-point packaging of the canonical one-point owner theorem FejerMonotone.dist_tendsto.
Proposition 5.7 (3): if the shadow sequence converges strongly to z and a, b are the
limits of the squared-distance sequences from xₙ to z and to x ∈ C, then
a + ‖x - z‖ ^ 2 ≤ b.