Write for the population matrix and assume . Its characteristic polynomial is
The two eigenvalues have opposite signs. The dominant eigenvalue is
and the other eigenvalue is . A positive eigenvector for satisfies
For any nonzero nonnegative population vector in this constant-coefficient system, the coefficient of the positive eigenvector is positive: a positive left eigenvector annihilates the other eigenvector and has positive pairing with that population vector. Thus , with , and . The long-time leading term therefore obeys .
Substituting that exponential mode into the age-structured population equation gives
Define the phase-residence survival function and its discounted integral by
Then the normalized cell-cycle age densities are
Since integration of gives , this is equivalently
The constants must be consistent with both incoming fluxes. Put
The boundary conditions for amplitudes give and . Hence the Two-stage Euler-Lotka equation is
It determines directly from the hazard functions; the formula in terms of is not permission to choose those constants independently of the profiles. If each phase is eventually left with probability one, and decreases to zero, giving a unique positive root under the usual finite, non-instantaneous residence-time assumptions. More generally positive growth requires . Nonnegative hazard functions alone do not ensure it: if one phase has zero exit hazard function, growth cannot have the asserted positive exponent. Convergence of the complete age distribution to these profiles needs the usual mixing assumptions on phase-residence times; the two-dimensional eigenvalue calculation establishes the long-time claim for the fixed-profile system.