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In
economics Economics () is a behavioral science that studies the Production (economics), production, distribution (economics), distribution, and Consumption (economics), consumption of goods and services. Economics focuses on the behaviour and interac ...
, convex preferences are an individual's ordering of various outcomes, typically with regard to the amounts of various goods consumed, with the property that, roughly speaking, "averages are better than the extremes". This implies that the consumer prefers a variety of goods to having more of a single good. The concept roughly corresponds to the concept of
diminishing marginal utility Marginal utility, in mainstream economics, describes the change in ''utility'' (pleasure or satisfaction resulting from the consumption) of one unit of a good or service. Marginal utility can be positive, negative, or zero. Negative marginal utilit ...
without requiring
utility function In economics, utility is a measure of a certain person's satisfaction from a certain state of the world. Over time, the term has been used with at least two meanings. * In a Normative economics, normative context, utility refers to a goal or ob ...
s.


Notation

Comparable to the greater-than-or-equal-to
ordering Order, ORDER or Orders may refer to: * A socio-political or established or existing order, e.g. World order, Ancien Regime, Pax Britannica * Categorization, the process in which ideas and objects are recognized, differentiated, and understood * H ...
relation \geq for real numbers, the notation \succeq below can be translated as: 'is at least as good as' (in
preference In psychology, economics and philosophy, preference is a technical term usually used in relation to choosing between alternatives. For example, someone prefers A over B if they would rather choose A than B. Preferences are central to decision the ...
satisfaction). Similarly, \succ can be translated as 'is strictly better than' (in preference satisfaction), and Similarly, \sim can be translated as 'is equivalent to' (in preference satisfaction).


Definition

Use ''x'', ''y'', and ''z'' to denote three consumption bundles (combinations of various quantities of various goods). Formally, a preference relation \succeq on the
consumption set The theory of consumer choice is the branch of microeconomics that relates preferences to consumption expenditures and to consumer demand curves. It analyzes how consumers maximize the desirability of their consumption (as measured by their pre ...
''X'' is called convex if whenever :x, y, z \in X where y \succeq x and z \succeq x , then for every \theta\in ,1/math>: :\theta y + (1-\theta) z \succeq x . i.e., for any two bundles that are each viewed as being at least as good as a third bundle, a weighted average of the two bundles is viewed as being at least as good as the third bundle. A preference relation \succeq is called strictly convex if whenever :x, y, z \in X where y \succeq x , z \succeq x , and y \neq z, then for every \theta\in(0,1): :\theta y + (1-\theta) z \succ x i.e., for any two distinct bundles that are each viewed as being at least as good as a third bundle, a weighted average of the two bundles (including a positive amount of each bundle) is viewed as being strictly better than the third bundle. Hal R. Varian; ''Intermediate Microeconomics A Modern Approach''. New York: W. W. Norton & Company. Mas-Colell, Andreu; Whinston, Michael; & Green, Jerry (1995). ''Microeconomic Theory''. Oxford: Oxford University Press.


Alternative definition

Use ''x'' and ''y'' to denote two consumption bundles. A preference relation \succeq is called convex if for any :x, y \in X where y \succeq x then for every \theta\in ,1/math>: :\theta y + (1-\theta) x \succeq x . That is, if a bundle ''y'' is preferred over a bundle ''x'', then any mix of ''y'' with ''x'' is still preferred over ''x''. A preference relation is called strictly convex if whenever :x, y \in X where y \sim x , and x \neq y, then for every \theta\in(0,1): :\theta y + (1-\theta) x \succ x . :\theta y + (1-\theta) x \succ y . That is, for any two bundles that are viewed as being equivalent, a weighted average of the two bundles is better than each of these bundles.


Examples

1. If there is only a single commodity type, then any weakly-monotonically increasing preference relation is convex. This is because, if y \geq x , then every weighted average of ''y'' and ''ס'' is also \geq x . 2. Consider an economy with two commodity types, 1 and 2. Consider a preference relation represented by the following
Leontief utility function In economics, especially in consumer theory, a Leontief utility function is a function of the form: u(x_1,\ldots,x_m)=\min\left\ . where: * m is the number of different goods in the economy. * x_i (for i\in 1,\dots,m) is the amount of good i in the ...
: :u(x_1,x_2) = \min(x_1,x_2) This preference relation is convex. : suppose ''x'' and ''y'' are two equivalent bundles, i.e. \min(x_1,x_2) = \min(y_1,y_2). If the minimum-quantity commodity in both bundles is the same (e.g. commodity 1), then this implies x_1=y_1 \leq x_2,y_2. Then, any weighted average also has the same amount of commodity 1, so any weighted average is equivalent to x and y. If the minimum commodity in each bundle is different (e.g. x_1\leq x_2 but y_1\geq y_2), then this implies x_1=y_2 \leq x_2,y_1. Then \theta x_1 + (1-\theta) y_1 \geq x_1 and \theta x_2 + (1-\theta) y_2 \geq y_2, so \theta x + (1-\theta) y \succeq x,y. This preference relation is convex, but not strictly-convex. 3. A preference relation represented by
linear utility In economics and consumer theory, a linear utility function is a function of the form: ::u(x_1,x_2,\dots,x_m) = w_1 x_1 + w_2 x_2 + \dots w_m x_m or, in vector form: ::u(\overrightarrow) = \overrightarrow \cdot \overrightarrow where: * m is the n ...
functions is convex, but not strictly convex. Whenever x\sim y, every convex combination of x,y is equivalent to any of them. 4. Consider a preference relation represented by: :u(x_1,x_2) = \max(x_1,x_2) This preference relation is not convex. : let x=(3,5) and y=(5,3). Then x\sim y since both have utility 5. However, the convex combination 0.5 x + 0.5 y = (4,4) is worse than both of them since its utility is 4.


Relation to indifference curves and utility functions

A set of
convex Convex or convexity may refer to: Science and technology * Convex lens, in optics Mathematics * Convex set, containing the whole line segment that joins points ** Convex polygon, a polygon which encloses a convex set of points ** Convex polytop ...
-shaped
indifference curve In economics, an indifference curve connects points on a graph representing different quantities of two goods, points between which a consumer is ''indifferent''. That is, any combinations of two products indicated by the curve will provide the c ...
s displays convex preferences: Given a convex indifference curve containing the set of all bundles (of two or more goods) that are all viewed as equally desired, the set of all goods bundles that are viewed as being at least as desired as those on the indifference curve is a
convex set In geometry, a set of points is convex if it contains every line segment between two points in the set. For example, a solid cube (geometry), cube is a convex set, but anything that is hollow or has an indent, for example, a crescent shape, is n ...
. Convex preferences with their associated convex indifference mapping arise from quasi-concave utility functions, although these are not necessary for the analysis of preferences. For example, Constant Elasticity of Substitution (CES) utility functions describe convex, homothetic preferences. CES preferences are self-dual and both primal and dual CES preferences yield systems of indifference curves that may exhibit any degree of convexity.


See also

*
Convex function In mathematics, a real-valued function is called convex if the line segment between any two distinct points on the graph of a function, graph of the function lies above or on the graph between the two points. Equivalently, a function is conve ...
*
Level set In mathematics, a level set of a real-valued function of real variables is a set where the function takes on a given constant value , that is: : L_c(f) = \left\~. When the number of independent variables is two, a level set is call ...
*
Quasi-convex function In mathematics, a quasiconvex function is a real-valued function defined on an interval or on a convex subset of a real vector space such that the inverse image of any set of the form (-\infty,a) is a convex set. For a function of a single ...
*
Semi-continuous function In mathematical analysis, semicontinuity (or semi-continuity) is a property of extended real-valued functions that is weaker than continuity. An extended real-valued function f is upper (respectively, lower) semicontinuous at a point x_0 if, ro ...
*
Shapley–Folkman lemma The Shapley–Folkman lemma is a result in convex geometry that describes the Minkowski addition of set (mathematics), sets in a vector space. The lemma may be intuitively understood as saying that, if the number of summed sets exceeds the dime ...


References

{{reflist Economics curves Utility function types