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In some cases, there is a unique utility-maximizing bundle for each price and income situation; then, (,) is a function and it is called the Marshallian demand function. If the consumer has strictly convex preferences and the prices of all goods are strictly positive, then there is a unique utility-maximizing bundle.
Roy's identity (named after French economist René Roy) is a major result in microeconomics having applications in consumer choice and the theory of the firm.The lemma relates the ordinary (Marshallian) demand function to the derivatives of the indirect utility function.
where (,) is the Hicksian demand and (,) is the Marshallian demand, at the vector of price levels , wealth level (or, alternatively, income level) , and fixed utility level given by maximizing utility at the original price and income, formally given by the indirect utility function (,).
The consumer's demand is always to get the goods in constant ratios determined by the weights, i.e. the consumer demands a bundle (, …,) where is determined by the income: = / (+ +). [1] Since the Marshallian demand function of every good is increasing in income, all goods are normal goods .
The relationship between the utility function and Marshallian demand in the utility maximisation problem mirrors the relationship between the expenditure function and Hicksian demand in the expenditure minimisation problem. In expenditure minimisation the utility level is given and well as the prices of goods, the role of the consumer is to ...
For any rational consumer the objective is to maximise their utility functions subject to their budget constraint (M) which is set exogenously. Such a process allows us to calculate a consumer's Marshallian Demand. Mathematically this means the consumer is working to achieve: {= [=]} .
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[1]: 164 A useful property of the quasilinear utility function is that the Marshallian/Walrasian demand for , …, does not depend on wealth and is thus not subject to a wealth effect; [1]: 165–166 The absence of a wealth effect simplifies analysis [1]: 222 and makes quasilinear utility functions a common choice for modelling.