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Hilbert spaces and narrative economics: A formal operator-theoretic framework for story-driven macroeconomic dynamics

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  • Arizmendi, Luis-Felipe

Abstract

Narratives shape beliefs, influence expectations, propagate through populations, and affect macroeconomic dynamics. Behavioral economics has documented systematic deviations from rationality, while narrative economics emphasizes that stories spread epidemically and move asset prices, consumption, investment, and policy. This paper develops a rigorous mathematical framework integrating these insights using Hilbert-space methods and operator theory. Beliefs and narratives are represented as vectors in a complete inner-product space; propagation, distortion, and contagion are modeled by linear and nonlinear operators; and macroeconomic expectations emerge as projections of narrative vectors onto relevant economic directions. We derive conditions for viral amplification, exponential forgetting, the existence and uniqueness of stationary narrative states, and the stability of narrative-driven inflation and output expectations. Behavioral distortions such as availability, anchoring, and herding are formalized as nonlinear perturbations. The framework provides a unified structure for incorporating narratives into modern macroeconomic theory without abandoning mathematical rigor.

Suggested Citation

  • Arizmendi, Luis-Felipe, 2025. "Hilbert spaces and narrative economics: A formal operator-theoretic framework for story-driven macroeconomic dynamics," MPRA Paper 127914, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:127914
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    File URL: https://mpra.ub.uni-muenchen.de/127914/1/MPRA_paper_127914.pdf
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    References listed on IDEAS

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    1. Stefano DellaVigna, 2009. "Psychology and Economics: Evidence from the Field," Journal of Economic Literature, American Economic Association, vol. 47(2), pages 315-372, June.
    2. Abhijit V. Banerjee, 1992. "A Simple Model of Herd Behavior," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 107(3), pages 797-817.
    3. Akerlof, George A & Yellen, Janet L, 1985. "Can Small Deviations from Rationality Make Significant Differences to Economic Equilibria?," American Economic Review, American Economic Association, vol. 75(4), pages 708-720, September.
    4. Sims, Christopher A., 2003. "Implications of rational inattention," Journal of Monetary Economics, Elsevier, vol. 50(3), pages 665-690, April.
    5. David Laibson, 1997. "Golden Eggs and Hyperbolic Discounting," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 112(2), pages 443-478.
    6. Bikhchandani, Sushil & Hirshleifer, David & Welch, Ivo, 1992. "A Theory of Fads, Fashion, Custom, and Cultural Change in Informational Cascades," Journal of Political Economy, University of Chicago Press, vol. 100(5), pages 992-1026, October.
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    Keywords

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    JEL classification:

    • B41 - Schools of Economic Thought and Methodology - - Economic Methodology - - - Economic Methodology
    • C40 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - General
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
    • E6 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook
    • E65 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Studies of Particular Policy Episodes

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