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A Characterization of Probabilities with Full Support and the Laplace Method

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Abstract

We show that a probability measure on a metric space has full support, if, and only if, the set of all probability measures, that are absolutely continuous with respect to it, is dense in the set of all Borel probability measures. We illustrate the result through a general version of Laplace’s method, which in turn leads to general stochastic convergence to global maxima.

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Notes

  1. \(\int _{X\setminus \left\{ x^{u}\right\} }\left( u\left( x^{u}\right) -u\left( x\right) \right) d\mu \left( x\right) =0\) would imply \(\mu \left( \left\{ x\in X\setminus \left\{ x^{u}\right\} :u\left( x^{u}\right) -u\left( x\right) >0\right\} \right) =0\), a contradiction because \(u\left( x^{u}\right) -u\left( x\right) >0\) for all \(x\in X\setminus \left\{ x^{u}\right\} \); thus, \(\left\{ x\in X\setminus \left\{ x^{u}\right\} :u\left( x^{u}\right) -u\left( x\right) >0\right\} =X\setminus \left\{ x^{u}\right\} \).

References

  1. Romeijn, H.E., Smith, R.L.: Simulated annealing for constrained global optimization. J. Glob. Optim. 5, 101–126 (1994)

    Article  MathSciNet  MATH  Google Scholar 

  2. Hiriart-Urruty, J.-B.: Conditions for global optimality. In: Horst, R., Pardalos, P.M. (eds.) Handbook of Global Optimization, pp. 1–26. Springer, New York (1995)

    Google Scholar 

  3. De Bruin, B.: Explaining Games: The Epistemic Programme in Game Theory. Springer, New York (2010)

    Book  MATH  Google Scholar 

  4. Dekel, E., Siniscalchi, M.: Epistemic game theory. In: Young, P., Zamir, S. (eds.) Handbook of Game Theory, vol. 4, pp. 629–702. Elsevier, New York (2014)

    Google Scholar 

  5. Aliprantis, C.D., Border, K.C.: Infinite Dimensional Analysis, 3rd edn. Springer, New York (2006)

    MATH  Google Scholar 

  6. Phelps, R.R.: Lectures on Choquet’s Theorem, 2nd edn. Springer, Heidelberg (2001)

    Book  MATH  Google Scholar 

  7. Burzoni, M., Frittelli, M., Maggis, M.: Universal arbitrage aggregator in discrete-time markets under uncertainty. Finance Stoch. 20, 1–50 (2016)

    Article  MathSciNet  MATH  Google Scholar 

  8. Parpas, P., Rustem, B.: Laplace method and applications to optimization problems. In: Floudas, C.A., Pardalos, P.M. (eds.) Encyclopedia of Optimization, pp. 1818–1822. Springer, New York (2009)

    Chapter  Google Scholar 

  9. Hwang, C.R.: Laplace’s method revisited: weak convergence of probability measures. Ann. Probab. 8, 1177–1182 (1980)

    Article  MathSciNet  MATH  Google Scholar 

  10. Dupuis, P., Ellis, R.S.: A Weak Convergence Approach to the Theory of Large Deviations. Wiley, New York (2011)

    MATH  Google Scholar 

  11. Dal Maso, G.: An Introduction to \(\varGamma \)-Convergence. Birkhäuser, Boston (1993)

    Book  Google Scholar 

  12. Pincus, M.: A closed form solution of certain programming problems. Oper. Res. 16, 690–694 (1968)

    Article  MathSciNet  MATH  Google Scholar 

  13. Pincus, M.: A Monte Carlo method for the approximate solution of certain types of constrained optimization problems. Oper. Res. 18, 1225–1228 (1970)

    Article  MathSciNet  MATH  Google Scholar 

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Acknowledgements

We thank Giacomo Cattelan, Ludovica Ciasullo, and Isabella Morgan Wolfskeil for excellent research assistance. Simone Cerreia-Vioglio, and Fabio Maccheroni and Massimo Marinacci gratefully acknowledge the financial support of ERC (Grants SDDM-TEA and INDIMACRO, respectively).

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Correspondence to Fabio Maccheroni.

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Communicated by Nizar Touzi.

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Cerreia-Vioglio, S., Maccheroni, F. & Marinacci, M. A Characterization of Probabilities with Full Support and the Laplace Method. J Optim Theory Appl 181, 470–478 (2019). https://doi.org/10.1007/s10957-018-01459-7

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