Proof of Expected Utility Property Assignment Help

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Proof of Expected Utility Property:

Suppose that  the rational preference relation 2284_Preferences Over Lotteries.pngon the space of  lotteries L satisfies the  continuity  and  independence  axioms. Then 2284_Preferences Over Lotteries.png admits  a utility representation of the expected utility form. That  is, we can assign a number u, to  each outcome n = 1.. . ,N  in  such a manner that for any  two lotteries L = 659_Proof of Expected Utility Property.png,  we have L2284_Preferences Over Lotteries.pngL'  if and only if

1291_Proof of Expected Utility Property1.png

Proof: (Taken rnoslly  from Aulor, 2004) Assume that there are best and worst lotteries in  L,  and  L

1)  If  2208_Proof of Expected Utility Property2.png (due  to  the indegendence axiom)

2)376_Proof of Expected Utility Property9.png

3) For any  L ∈ L,  there  is a unique  aL such that 266_Proof of Expected Utility Property4.png  .  (due to continuity axiom)

4) The function  U: L -> R that assigns  u  (L)  = a,  for  all  L ∈ L represents the preference relation 2284_Preferences Over Lotteries.png . From (3) above for any two lotteries we have

1290_Proof of Expected Utility Property5.png

5) The utility function U(.)  that assigns U(L)  =  a, for all  L G L  is linear and therefore has the expected utility form. We want  to  show  that for  any  L,  L'  E  L,  and  ~[0,1],  we  have

2286_Proof of Expected Utility Property6.png

2344_Proof of Expected Utility Property7.png

So, we have established that a utility function satisfying the continuity and the Independence Axiom, has the expected utility property:

1977_Proof of Expected Utility Property8.png

In brief, we can say that, a person who has vNM expected utility preferences over lotteries will act  as  if  she  is maximising  expected utility -  a weighted average of utilities of each state, weighted by  their probabilities. To  use  this model,  we  need  a  utility  function that bundles into  an  ordinal utility  ranking.  Note  that such functions are defined up  to  an  affine  (i-e., positive linear) transformation. This means  they  are required to have more structure (i.e.,  are more restrictive) than standard consumer utility functions, which are only defined up to a monotone transformation

 

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