I took this exercise from a book, it has to do with the behaviour of a nonlinear phase portrait around a critical point based on the behaviour of the linearized system. I've seen the proofs of many of the usual behaviours that are conserved but couldn't find the proof for the case of a spiral critical point. To be more precise, the exercise is the following.
Let's suppose we have an autonomous system of the form \begin{cases} \dot{x}=ax+by+f(x,y)\\ \dot{y}=bx+by+g(x,y)\\ \end{cases} with $f(x,y)=o(r)$, $g(x,y)=o(r)$ as $r=\sqrt{x^2+y^2}\rightarrow 0$.
Suppose that $(0,0)$ is a focus in the linearized system. (i.e. the matrix of the linearized system has two conjugate eigenvalues with non zero real part, we can assume negative real part for simplicity). Show that in the full system, the orbits are also spiralling near $(0,0)$, i.e. for each orbit near $(0,0)$ the polar angle takes all values in $[0,2\pi)$ (I assume it means congruence modulo $2\pi$) for $t>a$ and each $a\in\mathbb{R}$.
I've seen this stated as a theorem in several books but I'm not able to find a proof of it. So far I could do the following, lets write the system into polar coordinates to obtain \begin{cases} \dot{r}=r(a\ cos^2(\theta)+b\ sin(\theta)cos(\theta) + c\ cos(\theta)sin(\theta)+d\ sin^2(\theta))+o(r)\\ \dot{\theta} = (-a\ cos(\theta)sin(\theta) - b\ sin^2(\theta)+ c\ cos^2(\theta) + d\ sin(\theta)cos(\theta)) +\frac{o(r)}{r} \end{cases}
Notice that in both cases the part between brackets is the corresponding equation of the linearization in polar coordinates. I know that since $r(t)\rightarrow 0$ in the linear system then It has to do the same for the nonlinear, that leaves the second equation above in the form
\begin{equation} \dot{\theta} = \beta(\theta) +\varepsilon(t) \end{equation}
where $\varepsilon \rightarrow 0$ when $t\rightarrow 0$ but I cannot give any estimate of the rate of convergence (I think). So my guess is that I should somehow compare $\theta$ to the solution of an equation of the form
\begin{equation} \dot{h}=\beta(h) \end{equation}
Since the last would be the angle of the linear system, and this by hipothesis should grow(in module) up to infinity. I've tried substracting both equations, integrating, assuming Lipschitz on $\beta$ and using Gronwall, but I cannot have a good estimate on how near both functions are in order to prove what I want. I could only have an exponential estimate of the difference (and not the good exponential, something like $|\theta(t) - h(t)| \leq e^{Lx}$, with $L>0$).