Given $$x[n] = \cos\left(\frac{\pi}{3} n\right)$$ That was obtained by sampling $$x_c(t) = \cos(4000\pi t)$$
At \$T\$ samples per second, find \$T\$. Is \$T\$ unique? Why or why not?
$$x[n] = x_c(nT)$$ $$\cos\left(\frac{\pi}{3} n\right) = \cos(4000\pi nT)$$ $$\frac{\pi}{3} n = 4000\pi nT$$ $$T = \frac{1}{12000}$$
So far so good. Is \$T\$ unique? No, because either of these periodic signals can be phase shifted by \$2\pi\$ and remain essentially unchanged. E.g.
$$x[n] = \cos\left(\frac{\pi}{3} n + 2\pi\right)$$
EDIT TO SHOW STEPS $$\cos\left(\frac{\pi}{3} n\right) = \cos\left(\frac{\pi}{3} n + 2\pi\right)$$ So, $$\cos\left(\frac{\pi}{3} n + 2\pi\right) = \cos(4000\pi nT)$$ $$\frac{\pi}{3} n + 2\pi = 4000\pi nT$$ $$\frac{1}{3} + 2 = 4000 T$$ $$T = \frac{7}{12000}$$ END EDIT
Using this new \$x[n]\$, which is equivalent to the original, and the same relationship as defined above, we find that \$T = \frac{7}{12000}\$. While the math checks out (unless I've seriously screwed up), intuitively this makes no sense to me.
How would lowering the sample rate simply shift the resulting discrete time signal? By this logic, lowering the sample rate won't change the output, which is fundamentally wrong (isn't it??)
I must be missing something here, please enlighten me!