Basically, the sampling theorem is called 'Nyquist–Shannon sampling theorem'
More details can be found here:https://en.wikipedia.org/wiki/Nyquist%E2%80%93Shannon_sampling_theorem
This can be explained that the sampling frequency will determine the frequency distance between two signals and if their maximum frequency 2 * f_max > f_sample, their figures will overlap in the frequency domain.
So finally, we cannot inversely derive the temporal signal from the frequency domain. The high-frequency part will have overlap and resonance to cause periodical textures like jaggies.
Basically, the sampling theorem is called 'Nyquist–Shannon sampling theorem'
More details can be found here:https://en.wikipedia.org/wiki/Nyquist%E2%80%93Shannon_sampling_theorem
This can be explained that the sampling frequency will determine the frequency distance between two signals and if their maximum frequency 2 * f_max > f_sample, their figures will overlap in the frequency domain. So finally, we cannot inversely derive the temporal signal from the frequency domain. The high-frequency part will have overlap and resonance to cause periodical textures like jaggies.