Optimal Coin Pair Reflipping

Expectation · Medium · Free problem

Four fair coins are flipped. After seeing the outcome, you may repeatedly choose any pair of coins and reflip both. Each reflip costs you $\$1$. When you stop, your payoff is the number of heads showing, minus the total cost of reflips.

  1. What is the optimal strategy?
  2. What is the expected net payoff under optimal play?

Hints

  1. Think about the expected number of heads you get when you reflip a pair. How does that compare to the pair's current value in each possible state?
  2. Since reflips are free and unlimited, consider what the best achievable payoff is. Can you guarantee reaching it by repeatedly reflipping underperforming pairs?
  3. Group the four coins into two independent pairs. Each pair is an absorbing Markov chain: stop at 2H, reflip at 0H or 1H. Absorption at 2H is certain (probability $1/4$ per attempt), so each pair contributes exactly 2 to the final payoff.

Worked Solution

How to Think About It: Without the cost, this problem is trivial — you keep reflipping any non-HH pair until all four coins show heads, always reaching a payoff of 4. Adding the $\$1$ reflip cost creates a genuine optimization problem.

Key Insight: When you reflip a pair of coins, the expected number of heads in that pair after the reflip is 1 (since each coin is fair). So reflipping is only worthwhile if the current pair has fewer than 1 head on average relative to cost — i.e., if the pair currently shows 0 heads (TT).

Analysis by cases. After the initial flip, count the number of heads $h \in \{0, 1, 2, 3, 4\}$:

  • $h = 4$ (HHHH): Stop immediately. Payoff = 4.
  • $h = 3$ (three H, one T): Reflipping any pair containing the T costs \$1 and gives expected heads in that pair = 1. Currently the pair has 1H + 1T = 1 head. So expected gain = $1 - 1 = 0$, minus \$1 cost. Not worth it. Stop. Payoff = 3.
  • $h = 2$ (two H, two T): Reflip the TT pair. Cost = \$1. Expected heads in the reflipped pair = 1, currently 0. Expected gain = $1 - 0 - 1 = 0$. Break-even — but there's a chance of getting HH (payoff improves by 2) which makes it slightly positive in expectation when you consider the option to stop. Actually: reflip TT gives expected heads = 1, so expected payoff change = $+1 - 1 = 0$. It's exactly break-even, so you are indifferent. Stop or reflip once — same expected payoff = 2.
  • $h = 1$ (one H, three T): Pick any TT pair. Reflipping costs \$1, expected new heads = 1 (was 0). Expected payoff after one reflip: expected total heads $\approx 2$, having paid \$1. Marginal expected gain = $+1 - 1 = 0$. Again break-even. Payoff = 1.
  • $h = 0$ (TTTT): Reflip any pair. Cost \$1, expected heads gain = 1. New expected state ≈ $h = 1$ case. After one reflip, expected net = $1 - 1 = 0$ gain. Payoff = 0.

Conclusion: The optimal strategy is: always stop immediately. The expected payoff equals the initial expected number of heads = $4 \times 1/2 = 2$.

Reflipping is never strictly profitable because each reflip resets a pair to expected value 1 head at a cost of \$1 — exactly break-even. The free reflips made the original problem trivial; the \$1 cost makes reflipping pointless.

Answer: Expected net payoff = $\$2$ under optimal play (stop immediately).

Intuition

This problem tests whether you can see through a trivial setup to the real optimization question. Without cost, the problem is boring — reflip until all heads. With cost, you need to compare the expected gain from a reflip against its price.

Each reflip of a pair resets two coins to fresh fair flips. The expected number of heads in a fresh pair is exactly 1, and the cost is exactly \$1. This means reflipping a pair with 0 heads gains you 1 expected head for \$1 (break-even), reflipping a pair with 1 head gains 0 expected heads for \$1 (losing), and reflipping a pair with 2 heads loses 1 expected head and costs \$1 (terrible). The optimal strategy is simply: never reflip, and your expected payoff is the initial expected head count of 2.

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