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The Coase Theorem has been used by jurists and legal scholars in the analysis and resolution of disputes involving both contract law and tort law. In contract law, the Coase theorem is often used as a method to evaluate the relative power of the parties during the negotiation and acceptance of a traditional or classical bargained-for contract.
In law and economics, the Coase theorem (/ ˈ k oʊ s /) describes the economic efficiency of an economic allocation or outcome in the presence of externalities. The theorem states that if trade in an externality is possible and there are sufficiently low transaction costs , bargaining will lead to a Pareto efficient outcome regardless of the ...
The Coase conjecture, developed first by Ronald Coase, is an argument in monopoly theory.The conjecture sets up a situation in which a monopolist sells a durable good to a market where resale is impossible and faces consumers who have different valuations.
The Coase theorem is not a theorem in the formal mathematical sense that is described in links you have offered. A search for the exact phrase on google scholar returns more than 5000 hits. A search through JSTOR at my university (51 economics journals) returns 752 hits.
May's theorem states that simple majority voting is the unique social welfare function satisfying all three of the following conditions: [1] Anonymity : The social choice function treats all voters the same, i.e. permuting the order of the voters does not change the result.
Arrow's theorem is not related to strategic voting, which does not appear in his framework, [3] [1] though the theorem does have important implications for strategic voting (being used as a lemma to prove Gibbard's theorem [15]). The Arrovian framework of social welfare assumes all voter preferences are known and the only issue is in ...
The master theorem always yields asymptotically tight bounds to recurrences from divide and conquer algorithms that partition an input into smaller subproblems of equal sizes, solve the subproblems recursively, and then combine the subproblem solutions to give a solution to the original problem. The time for such an algorithm can be expressed ...
Theorem — Given a finite set and a finite set of real numbers, assume that : is chosen at random according to uniform distribution on the set of all possible functions from to . For the problem of optimizing f {\displaystyle f} over the set V {\displaystyle V} , then no algorithm performs better than blind search.