L (q) R (1-q)
l (p) [(2, 1), (0, 1)]
r (1-p) [(-1, 0), (1,7)]
I'm having a lot of trouble understanding what the mixed strategy nash equilibrium is exactly in this game. What I've done thus far is found that Player 1 will play "l" with probability p=1 :
$$ E_1[L] = E_2[R] \\ 1p 0(1-p) = 1p + 7(1-p) \\ 7p = 7 \\ p = 1 $$
Then, when solving for player 2, I get that they will mix with strategy q = 1/4:
$$ E_1[l] = E_1[r] \\ 2q + 0(1-q) = -1q + 1(1-q) \\ 2q = -2q + 1 \\ 4q = 1 \\ q=1/4 $$
However, in the solution I was given when trying this problem, it says that the Mixed NE is in fact:
$$ \textrm {\{l, q*L + (1-q)*R\} where } q \in [1/4, 1] $$
I'm not quite understanding why in this situation q isn't simply 1/4 and instead includes all values of q above 1/4. Also, if player 1 has the strategy of always choosing "l", in that case wouldn't it at least make sense that q could just be any number [0,1] since player 2 would always be indifferent between the payoff of 1 they would receive from (2,1) or (0,1)?
Sorry if this is too simple of a problem to post here, I'm sure there is a simple explanation here that I'm just not getting but this problem has been annoying me for a little while and I'd appreciate any help!
I think, there is a problem with the method that you chose.
Let me first explain why for any $q\in [1/4,1]$, $(1,q)$ is indeed a Nash equilibrium. First, as you say, if $p=1$ then whatever second player is doing, his gain will be $1$. Second, let us prove that if $q\in [1/4,1]$, then indeed the best response for the first player is to chose $p=1$. I.e. we need to prove that
$2\cdot q\ge 2\cdot p\cdot q+ (1-p)\cdot (-q+1-q)=4p\cdot q-2q+1$
this is equivalen to say that $4q(1-p)\ge 1-p$. But this is indeed true since $q\ge 1/4$.
Also, it is easy to see that the pure strategy $(1,0)$ is not a Nash equilibrium. Indeed if second player plays $R$, the first player should play $r$.
In other words, the answer that was given to you is correct. It seems to me that the problem is that you treat this game as if it were a zero sum game... (in which case your method would work correctly)