The theory of physical degrees of freedom (DoF) developed by Franceschetti–Migliore–
Minero (FMM) establishes a fundamental phase transition in the singular-value spectrum
of electromagnetic radiation operators under maximal rotational symmetry. In this work,
we revisit this result from a symmetry-explicit operator-theoretic perspective and extend
it to scenarios with reduced and controllable symmetries, with particular emphasis on
reconfigurable intelligent surfaces (RIS). We model the radiation process as a compact
operator acting between admissible source and observation spaces and characterize its
symmetry through group equivariance. This formulation enables a systematic decompo-
sition of the operator into irreducible representation sectors associated with the effective
symmetry group, defined as the intersection of symmetries supported jointly by the source
architecture, RIS geometry and programmability, receiver configuration, and propagation
environment. We show that the FMM phase transition persists within each symmetry
sector and that the total DoF budget is redistributed across sectors according to symmetry
constraints. A key outcome of this analysis is the distinction between physical and effective
degrees of freedom. While breaking the maximal SO(2) symmetry does not increase the
total number of electromagnetic DoF dictated by physics, symmetry reduction modifies
their allocation across sectors, potentially lifting degeneracies and increasing the number
of degrees of freedom that can be effectively addressed by a given excitation, RIS control,
and measurement architecture, even when the total number of physical DoF remains fixed
by fundamental limits. This clarifies the role of controlled symmetry breaking as a design
mechanism rather than a means to surpass fundamental limits. The proposed framework
bridges electromagnetic operator theory, representation theory, and RIS-enabled system
design, providing both rigorous symmetry-resolved DoF accounting and actionable in-
sights for excitation, surface programmability, and measurement strategies under practical
architectural constraints.