Consider a simple two-way fixed effects model: \begin{equation} y_{it}= x_{it} \beta + \alpha_i + \delta_t + u_{it} \end{equation} where $x_{it}$ is a row vector of regressors of size $K$, and $\alpha_i$ denotes the unobservable individual-specific effects, $\delta_t$ denotes the unobservable time effects, and $u_{i,t}$ denotes the stochastic disturbance term.
Can you provide insight into why incorporating time dummies is equivalent to transforming the variables into deviations from time means (i.e., the mean across the $N$ individuals for each period)?