They are doing the same for the negative frequencies, implicitly.
In a problem like this, all signals are real: the input, the sampled signal, and the reconstructed signal. As a consequence, all spectrums are symmetric. If aliasing produces a frequency component at $x$ Hz, then it will also produce one at $-x$ Hz.
Let us take a closer look. We need the following concepts:
A sine $$\sin(2\pi f_0 t) = \frac{e^{j2\pi f_0 t}-e^{j2\pi (-f_0) t}}{2j}$$ has frequencies $f_0$ and $-f_0$.
A single frequency component $e^{j2\pi f_0 t}$ sampled at frequency $f_s$ produces aliases at frequencies $f_0 + Nf_s$ for all integers $N$.
Out of the infinite number of aliases, we're interested in those with the lowest frequency; those are the unique aliases that appear in the Nyquist range $-f_s/2$ to $f_s/2$.
Now, let's focus on $\sin(2\pi f_C t)$ with $f_C=30$. It has two frequencies, $30$ and $-30$. Let us find the aliases of each frequency separately.
- The term $e^{j2\pi 30 t}/2j$ will alias to frequencies $30+40N$, some examples of which are $-90,-50,-10,30,70,110...$. The only value within the Nyquist range corresponds to $N=-1$, so we have $30-40=-10$. We can say that $e^{j2\pi (30) t}$ aliases to $e^{j2\pi (-10) t}/2j$.
- The term $-e^{j2\pi (-30) t}/2j$ will alias to frequencies $-30+40N$. The only alias in the Nyquist range corresponds to $N=1$, where we have $-30+40=10$. We can say that $-e^{j2\pi (-30) t}/2j$ aliases to $-e^{j2\pi (10) t}/2j$.
We can conclude these two things:
The aliases are symmetric. This is the reason many textbooks don't calculate every single alias; as soon as you find an alias at $x$, you know there is one at $-x$. This is true only for real signals, which is what we are dealing with in this problem.
The sum of the two aliases we calculated is $$ \frac{e^{j2\pi (-10) t}-e^{j2\pi (10) t}}{2j}$$ which implies that $f_0 = -10$. Then, the aliased sine wave is $\sin(2\pi (-10) t) = -\sin(2\pi 10 t)$. This means that aliasing can change the sign of the aliased signal.
Coming back to the textbook problem, we see that the term $\sin(2\pi 10t)$ is cancelled by the alias $-\sin(2\pi 10t)$. So, a third conclusion is, aliases may cancel out terms in the input signal!
I guess a fourth and final conclusion might be, avoid aliasing at all costs.