This is what happens when a signal is downsampled: you get a scaling of the frequency axis and the addition of shifted spectra (aliasing). The same happens to the lowpass filtered signal. The spectrum of the downsampled signals is given by Eq. $(4.77)$ in Oppenheim and Schafer's Discrete-time Signal Processing (3rd ed), which for downsampling factor $M=2$ can be written as
The second term on the right-hand side of $(1)$ fills up the "empty spaces" in the frequency ranges that are eliminated by the lowpass and highpass filters, respectively.