Consider an infinitely-repeated game with perfect monitoring and pure strategies. The one-shot deviation principle tells us that a strategy profile $\sigma$ is a subgame perfect Nash equilibrium if and only if there are no profitable one-shot deviations.
More precisely, let $h^t$ denote the history available to players up to the beginning of period $t$.
For each history $h^t$, let $a^*=\sigma(h^t)$. It must be that
$$
(1-\delta) u_i(a^*)+\delta U_i(\sigma|_{(h^t,a^*)})\geq (1-\delta) u_i(a_i, a^*_{-i})+\delta U_i(\sigma|_{(h^t,a_i, a^*_{-i})})\quad \forall a_i, \forall i
$$
where
$\delta$ is the discount factor
$u_i$ is the stage game payoff
$\sigma|_{(h^t,a)}$ is player $i$'s continuation strategy induced by history $h^t$ and action $a$.
$U_i$ is the continuation payoff
Question: My lecture notes say that in this setting $U_i(\sigma|_{h^t,a})$ just depends on $a$ and so can be denoted by $v_i(a)$. Hence, the normal form of this game with 2 players and 2 actions $\{0,1\}$ is
| (1-delta)u_1(1,1)+delta*v_1(1,1) | (1-delta)u_1(1,0)+delta*v_1(1,0)
| (1-delta)u_2(1,1)+delta*v_2(1,1) | (1-delta)u_2(1,0)+delta*v_2(1,0)
|----------------------------------------|----------------------------------------
| (1-delta)u_1(0,1)+delta*v_1(0,1) | (1-delta)u_1(0,0)+delta*v_1(0,0)
| (1-delta)u_2(0,1)+delta*v_2(0,1) | (1-delta)u_2(0,0)+delta*v_2(0,0)
I don't understand this step at all. In particular:
(1) The fact that I can write the normal form of a repeated game as above is a consequence of the one-shot deviation principle?
(2) Suppose in the above normal-form game, $(0,0)$ is a Nash Equilibrium for given values of $v_1, v_2$. What is the relation between such Nash equilibrium and a subgame perfect Nash equilibrium of the repeated game?
(3) Suppose in the above normal-form game, $(0,0)$ and $(0,1)$ are Nash Equilibria for given values of $v_1, v_2$. Does this imply that there are multiple subgame perfect Nash equilibria in the repeated game as well?