The inverse of a bijective linear map is linear. If $y_i=T(x_i)$, linearity gives $T(ax_1+bx_2)=ay_1+by_2$, so $T^{-1}(ay_1+by_2)=aT^{-1}(y_1)+bT^{-1}(y_2)$. Bijectivity ensures every target vector has a unique preimage.
Parents
Like how this is organised?
Build your own knowledge tree on knowen.md: notes, decisions and tasks in one connected markdown graph, shared with your team and your AI agents.

