
Originally Posted by
bigbrown
thank you very much for your quick reply. do you, by any chance have any pointer to a paper that addresses this in the context of horse racing? or in any context, but addressing this specific problem?
I do not, no. You might want to check with the quantitative horse betting forums.

Originally Posted by
bigbrown
I assume that the solution will be to somehow maximize (convex optimiztion?? ) the utility function with respect to a multi-dimentional vector of bets?
Yes, except the optimization won't necessarily be convex.
This is precisely the same technique used in the generic Kelly optimization. As I mentioned, the only difference is that in the latter case the payout is a constant.
"Generic" Kelly Utility:
[nbtable][tr][td]E(U) = [/td][td][/td] [td]( pi * U(1+[/td] [td][/td] [td] xj*ri,j ) ) [/td] [/tr] [/nbtable]
Kelly Utility with payouts given as a function of bet size:[nbtable][tr][td]E(U) = [/td][td][/td] [td]( pi * U(1+[/td] [td][/td] [td] xj*ri,j(x) ) ) [/td] [/tr] [/nbtable]
Play around with the above spreadsheet, or any of my other linked Kelly spreadsheets, which should provide a good understanding of using Excel Solver to solve Kelly problems. Once you understand how to do this then creating a simple spreadsheet to accomplish what you're looking to do should be quite straightforward.