We distinguish the two extreme aspects of the logic of certainty by identifying their corresponding structures into a linear space. We extend probability laws P formally admissible in terms of coherence to random quantities. We give a geometric representation of these laws P and of a coherent prevision-function P which we previously defined. This work is the foundation of our next and extensive study concerning the formulation of a geometric, well-organized and original theory of random quantities.

On a geometric representation of probability laws and of a coherent prevision-function according to subjectivistic conception of probability / Angelini, Pierpaolo; De Sanctis, Angela. - In: RATIO MATHEMATICA. - ISSN 1592-7415. - (2018).

On a geometric representation of probability laws and of a coherent prevision-function according to subjectivistic conception of probability

Angelini, Pierpaolo
;
2018

Abstract

We distinguish the two extreme aspects of the logic of certainty by identifying their corresponding structures into a linear space. We extend probability laws P formally admissible in terms of coherence to random quantities. We give a geometric representation of these laws P and of a coherent prevision-function P which we previously defined. This work is the foundation of our next and extensive study concerning the formulation of a geometric, well-organized and original theory of random quantities.
2018
metric; collinearity; vector subspace; convex set; linear dependence
01 Pubblicazione su rivista::01a Articolo in rivista
On a geometric representation of probability laws and of a coherent prevision-function according to subjectivistic conception of probability / Angelini, Pierpaolo; De Sanctis, Angela. - In: RATIO MATHEMATICA. - ISSN 1592-7415. - (2018).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1266650
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