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A more general formulation of the Lagrange multiplier method is given: that in which there are many variables and possibly more than one constraint. The general theory of the consumer is presented, the problem being to maximise utility subject to a budget constraint. Applying the Lagrange method to this problem, it is shown that the tangency conditions encountered inreappear as a consequence; and also that, when optimising, the marginal rate of substitution is equal to the price ratio. The general solution of the problem reveals how to express the demand quantities in terms of the budget and the prices, giving what are known as the Marshallian demand functions. The corresponding (maximum) value of the utility function (depending on the budget and the prices) is known as the indirect utility and it is explained that the partial derivative of this with respect to the budget (known as the marginal utility of income) is equal to the value of the Lagrange multiplier.
We show that the maximal expected utility satisfies a monotone continuity property with respect to increasing information. Let be a sequence of increasing filtrations converging to , and let un(x) and u∞(x) be the maximal expected utilities when investing in a financial market according to strategies adapted to and , respectively. We give sufficient conditions for the convergence un(x) → u∞(x) as n → ∞. We provide examples in which convergence does not hold. Then we consider the respective utility-based prices, πn and π∞, of contingent claims under (Gtn) and (Gt∞). We analyse to what extent πn → π∞ as n → ∞.
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