Mathematical Game Theory (Von Neumann Morganstern Utility)

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SUMMARY

The discussion focuses on proving the linearity of expectation for a Von Neumann-Morgenstern (VNM) utility function in the context of lotteries. The key equation under consideration is E(Au(L)+B) = AEu(L)+B, where L represents a lottery and A and B are constants. Participants reference various academic resources, including notes from Stanford and Princeton, as well as a specific theorem from a book that discusses the linearity of VNM utility functions. The discussion highlights the importance of understanding the properties of sums and products in deriving the proof.

PREREQUISITES
  • Understanding of Von Neumann-Morgenstern utility theory
  • Familiarity with expected value calculations in probability
  • Basic knowledge of linear algebra and properties of sums
  • Access to academic resources on game theory and utility functions
NEXT STEPS
  • Study the properties of expected value in probability theory
  • Review the Stanford and Princeton game theory notes for deeper insights
  • Examine Theorem 3.9.1 in the referenced book for formal proof techniques
  • Explore advanced topics in risk neutrality and its implications in economic theory
USEFUL FOR

Students and researchers in economics, game theorists, and anyone interested in the mathematical foundations of utility theory and decision-making under uncertainty.

ctownballer03
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1: If u: omega---> reals is a Von Neumann Morganstern Utiliy function and L is a lottery, prove that expectation E is "linear" ie: E(Au(L)+B)=AEu(L)+B2. Given none:

The Attempt at a Solution

: My attempt at a solution has gone nowhere. I found a stanford and princeton game theory notes that went into it, but I could exactly follow.

I found in a book that if E[v(c)]=v(E[c]) the person is risk netural and they're risk neutral iff VNM Utility function is linear.

I'm really grasping at straws here though.

Here is where I've found my information, but I haven't been able to translate anything into a formal proof.
https://www.princeton.edu/~dixitak/Teaching/EconomicsOfUncertainty/Slides&Notes/Notes03.pdf
http://web.stanford.edu/~jdlevin/Econ 202/Uncertainty.pdf
and finally this book which seems to be the best (see theorem 3.9.1)
http://books.google.com/books?id=nv...orgenstern utility function is linear&f=false

I would love a shove in the right direction. thx
[/B]
 
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## L=\sum p_i C_i ## where ## \sum p_i = 1 ## would be the expected value for the Lottery L with probabilities p_i corresponding to possible payouts C_i.
Then,
##E(Au(L)+B) ## is the expected value ... which is ##\sum p_i (Au(C_i)+B)##, where A and B are constants.
You should be able to change this to the form you were looking for using basic properties of sums and products.
 

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