# Time-Scaling vs Frequency Shift

by JustStudying
Tags: frequency, shift, timescaling
 Sci Advisor HW Helper PF Gold P: 3,217 A frequency shift means that the frequency components of the function have all been "shifted" (increased or decreased) by the same offset. So for example, if ##f(x) = \sin(\omega_1 x) + \sin(\omega_2 x)##, then if we add an offset ##\omega_0## to both ##\omega_1## and ##\omega_2##, we obtain a frequency-shifted version: ##g(x) = \sin((\omega_1 + \omega_0)x) + \sin((\omega_2 + \omega_0)x)##. In general, this is NOT equivalent to time-scaling. However, in the special case of a function with a single frequency component, the two notions are equivalent. For example, if ##f(x) = \sin(\omega x)## and we shift the frequency by an offset of ##\omega_0##, the result is ##g(x) = \sin((\omega + \omega_0) x)##. If we define $$c = \frac{\omega + \omega_0}{\omega} = 1 + \frac{\omega_0}{\omega}$$ then we may equivalently write ##g(x) = \sin(\omega cx)##, which is just ##f(cx)##, i.e., a time scaled version of ##f##. But as you can see from the example with two frequency components in the first paragraph, the two notions are not generally equivalent. If we time scale ##f(x) = \sin(\omega_1 x) + \sin(\omega_2 x)## to obtain ##f(cx) = \sin(\omega_1 cx) + \sin(\omega_2 cx)##, then we still have two frequency components, but the frequencies are now separated by ##c(\omega_2 - \omega_1)## whereas they were originally separated by ##\omega_2 - \omega_1##. Compare this with the frequency shifted version, where the separation remains the same: ##(\omega_2 + \omega_0) - (\omega_1 + \omega_0) = \omega_2 - \omega_1##.