After fixing an initial decision in an optimal solution, the remaining decisions must solve the resulting residual problem optimally, with the relevant state and constraints retained. Otherwise substituting a better continuation would improve the original solution. This replacement argument justifies dynamic programming recurrences when the chosen dynamic programming state contains all information needed by future decisions.
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