The autonomous planar system has two real state variables, so its phase space is a subset of . It is autonomous because its vector field has no explicit time dependence. The nullclines are and , on which the respective coordinate's instantaneous rate of change vanishes. A critical point of a dynamical system is an intersection where ; the constant trajectory at that point is an equilibrium of an autonomous differential equation. A nullcline alone need not consist of equilibria.
Assume are continuously differentiable near the equilibrium. Put , and expand the vector field:
This Jacobian matrix defines the linearized system. For distinct real eigenvalues, two negative values give a stable node, two positive values an unstable node, and opposite signs a saddle point of a dynamical system. A complex-conjugate pair with negative real part gives a stable focus, and one with positive real part an unstable focus. Thus a hyperbolic saddle has two real eigenvalues of opposite signs, equivalently .
The linearization stability theorem transfers these stability conclusions to the nonlinear system when no eigenvalue has zero real part. Distinctness alone is insufficient: a zero eigenvalue or a purely imaginary conjugate pair leaves a nonhyperbolic equilibrium, for which the nonlinear terms must be examined. In the purely imaginary case the linearized trajectories form a centre, but that does not establish a nonlinear centre.
One useful form of the Bendixson-Dulac theorem is this: let be open and simply connected, and let be continuously differentiable on . If
has one strict sign throughout , then there is no nonconstant periodic orbit lying entirely in . More generally the divergence may have a weak sign provided it is not identically zero on any nonempty open subset. The multiplier is a Dulac function. Green's theorem proves the criterion: the vector field is tangent to a hypothetical closed orbit, so its scaled flux across that boundary is zero, whereas the signed area integral of its divergence would be nonzero.

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