Table 2.
λ1 ∈ ,λ1 < 0 | ||
λ2 ∈ ,λ2 < 0 | ||
λ3 ∈ , λ3 < 0 | ||
λ4 ∈ , λ4 < 0 | ||
λ1 ∈ , λ1 < 0 | λ1 ∈ , λ1 < 0 | |
λ2 ∈ , λ2 < 0 | λ2 ∈ , λ2 < 0 | |
λ3 ∈ , λ3 > 0 | ||
λ4 ∈ , λ4 > 0 | ||
λ1 ∈ , λ1 < 0 | λ1 ∈ , λ1 < 0 | |
λ2 ∈ , λ2 < 0 | λ2 ∈ , λ2 > 0 | |
λ3 ∈ , λ3 < 0 | ||
λ4 ∈ , λ4 < 0 | ||
λ1 ∈ , λ1 < 0 | λ1 ∈ , λ1 < 0 | λ1 ∈ , λ1 < 0 |
λ2 ∈ , λ2 < 0 | λ2 ∈ , λ2 < 0 | λ2 ∈ , λ2 > 0 |
λ3 ∈ , λ3 > 0 | ||
λ4 ∈ , λ4 > 0 |
Every fixed point is classified with respect to the eigenvalues of the corresponding Jacobian matrix. Every eigenvalue is fully determined but for , the pair of complex conjugate eigenvalues may have either a positive or negative real part (in the table). This will not change the global stability, since an eigenvalue with positive real part (λ2 in the Table) always exists as demonstrated in the Appendix C. In the blue region (d > q0, d < ψα/β), only one fixed point exists with real and negative eigenvalues. Every initial concentration of cells and chemicals will then decay exponentially to , which indicates a complete tumor regression. In the orange region (d < q0, d < ψα/β), the Jacobian near has two positive and real eigenvalues, leading to a long time exponential relaxation for arbitrary initial concentration to . In the green region (d > q0, d > ψα/β), every initial concentration in the basin of attraction of , will exponentially relax to full regression, whilst increasing if it lays outside the basin. A complete discussion about this scenario has been given in the main text (Section (Dynamics)). In the red region of Fig. 1, (d < q0, d > ψα/β), the scenario is very rich, due to the existence of all fixed points. The Jacobian of has two real and positive eigenvalues, making this point unstable. The tumor will never undergo regression. Instead, is globally stable; an initial concentration of chemicals and cells in the vicinity of will relax to a low population tumor. Differently from the orange region, the existence of restricts the basin of attraction of , making the tumor less likely to relax to .