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The role of optimism and pessimism in the dynamics of emotional states

  • * Corresponding author: Monika Joanna Piotrowska

    * Corresponding author: Monika Joanna Piotrowska 
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  • In this paper we make an attempt to study the influence of optimism and pessimism into our social life. We base on the model considered earlier by Rinaldi and Gragnani (1998) and Rinaldi et al. (2010) in the context of romantic relationships. Liebovitch et al. (2008) used the same model to describe competition between communicating people or groups of people. Considered system of non-linear differential equations assumes that the emotional state of an actor at any time is affected by the state of each actor alone, rate of return to that state, second actor's emotional state and mutual sympathy. Using this model we describe the change of emotions of both actors as a result of a single meeting. We try to explain who wants to meet whom and why. Interpreting the results, we focus on the analysis of the impact of a person's attitude to life (optimism or pessimism) on establishing emotional relations. It occurs that our conclusions are not always obvious from the psychological point of view. Moreover, using this model, we are able to explain such strange behavior as so-called Stockholm syndrom.

    Mathematics Subject Classification: Primary: 91D99; Secondary: 37N99, 34D05, 34D23.

    Citation:

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  • Figure 1.  Example of an influence function. We see that for $|\xi_2|=\xi_1$ we have $f(\xi_1)\leq -f(\xi_2)$

    Figure 2.  All possible types of the phase space portrait of System (1) illustrating Theorem 3.3. (a): unique globally attractive focus; (b): unique globally attractive node; (c): bifurcation from one stable steady state to bistability; (d): bistability

    Figure 3.  An example of the situation when two actors reach the same emotional state independently if they meet each other or not

    Figure 4.  An example of the change of emotional states of two friends with the opposite initial states

    Figure 5.  Emotional states of two strongly dependent on each other friends with the same parameters describing both of them but with the opposite initial states

    Figure 6.  Examples of changes in emotional states of two actors with the opposite attitude to each other. Top: the steady state is a stable focus and emotions oscillate. Bottom: the steady state is a stable node and emotions slowly approach the equilibrium

    Figure 7.  En example of two actors for which different initial conditions yield different opposite final emotional states

    Figure 8.  Scheme of six possible interactions of the pessimist ($y$) with the other actor ($x$) who could be a pessimist or optimist. (a): $y$ is negatively ($c_{1} < 0$) and $x$ is positively ($c_{2}>0$) oriented; (b): $y$ is positively ($c_{1}>0$) and $x$ is negatively ($c_{2} < 0$) oriented; (c): both $x$ and $y$ are positively oriented ($c_{1}, c_{2}>0$) and $m_{1}m_{2} > c_{1}c_{2}$ indicating the existence of exactly one steady state; (d): both $x$ and $y$ are negatively oriented ($c_{1}, c_{2} < 0$) and $m_{1}m_{2} > c_{1}c_{2}$ indicating the existence of exactly one steady state; (e): both $x$ and $y$ are positively oriented ($c_{1}, c_{2}>0$) and $m_{1}m_{2} < c_{1}c_{2}$ indicating that there might exist more than one steady state; (f): both $x$ and $y$ are negatively oriented ($c_{1}, c_{2}>0$) and $m_{1}m_{2} < c_{1}c_{2}$ indicating that there might exist more than one steady state

    Figure 9.  An example of emotional states of two pessimists who have strong influence on each other

    Figure 10.  Graph of emotional states of two pessimists who are enemies. Signs of the initial conditions are opposite. Horizontal doted line indicates the uninfluenced equilibriums of both of actors

    Figure 11.  Relationships between two optimists: (g) $y$ is positively while $x$ is negatively oriented ($c_1 < 0, c_2>0$); (h) $y$ is negatively while $x$ is positively oriented ($c_1>0, c_2 < 0$); (i) both actors are negatively oriented $(c_1, c_2 < 0)$ and $m_{1}m_{2} > c_{1}c_{2}$ indicating the existence of exactly one steady state; (j) both actors are negatively oriented $(c_1, c_2 < 0)$ and $m_{1}m_{2} < c_{1}c_{2}$ indicating the existence of up to three steady states; (k) both actors are positively oriented $(c_1, c_2>0)$ and $m_{1}m_{2} > c_{1}c_{2}$ indicating the existence of exactly one steady state; (l) both actors are positively oriented $(c_1, c_2>0)$ and $m_{1}m_{2} < c_{1}c_{2}$ indicating the existence of up to three steady states

    Figure 12.  Possible changes of the dynamics of emotional states initiated by one of the interacting actors

    Figure 13.  Comparison of the dynamics of emotional states of two pessimists when they are friends ($c_{1}, c_{2}>0$) and when they have inconsistent relations ($c_{1}>0$, $c_{2} < 0$)

  •   N. Bielczyk , M. Bodnar  and  U. Foryś , Delay can stabilize: Love affairs dynamics, Applied Mathematics and Computation, 219 (2012) , 3923-3937.  doi: 10.1016/j.amc.2012.10.028.
      N. Bielczyk , U. Foryś  and  T. Płatkowski , Dynamical models of dyadic interactions with delay, J. Math. Soc., 37 (2013) , 223-249.  doi: 10.1080/0022250X.2011.597279.
      D. H. Felmlee  and  D. F. Greenberg , A dynamic systems model of dyadic interaction, Journal of Mathematical Sociology, 23 (1999) , 155-180.  doi: 10.1080/0022250X.1999.9990218.
      J. M. GottmanJ. D. MurrayC. C. SwansonR. Tyson and  K. R. SwansonThe Mathematics of Marriage: Dynamic Nonlinear Models, MIT Press, Cambridge, 2002. 
      D. Kahneman  and  A. Tversky , Prospect theory: An analysis of decision under risk, Econometrica, 47 (1979) , 263-291.  doi: 10.21236/ADA045771.
      L. Liebovitch , V. Naudot , R. Vallacher , A. Nowak , L. Biu-Wrzosinska  and  P. Coleman , Dynamics of two-actor cooperation-competition conflict models, Physica A, 387 (2008) , 6360-6378. 
      J. D. MurrayMathematical Biology. Ⅰ: An Introduction, Springer-Verlag, New York, 2002. 
      S. Rinaldi , Love dynamics: The case of linear couples, Applied Mathematics and Computation, 95 (1998) , 181-192.  doi: 10.1016/S0096-3003(97)10081-9.
      S. Rinaldi , F. Della Rosa  and  F. Dercole , Love and appeal in standard couples, International Journal of Bifurcation and Chaos, 20 (2010) , 3473-3485.  doi: 10.1142/S0218127410027829.
      S. Rinaldi  and  A. Gragnani , Love dynamics between secure individuals: A modeling approach, Nonlinear Dynamics, Psychology, and Life Sciences, 2 (1998) , 283-301. 
      S. Rinaldi, P. Landi and F. Della Rosa, Small discoveries can have great consequences in love affairs: The case of beauty and the beast International Journal of Bifurcation and Chaos 23 (2013), 1330038, 8pp. doi: 10.1142/S0218127413300383.
      S. Rinaldi , P. Landi  and  F. Della Rossa , Temporary bluffing can be rewarding in social systems: The case of romantic relationships, The Journal of Mathematical Sociology, 39 (2015) , 203-220.  doi: 10.1080/0022250X.2015.1022280.
      S. Rinaldi , F. D. Rossa  and  P. Landi , Landi, A mathematical model of pride and prejudice?, Nonlinear dynamics, psychology, and life sciences, 18 (2014) , 199-211. 
      S. Rinaldi, F. Rossa Della, F. Dercole, A. Gragnani and P. Landi, Modeling Love Dynamics vol. 89 of World Scientific Series on Nonlinear Science Series A, World Scientific Publishing Co. Pte. Ltd., 2016.
      S. Strogatz , Love affairs and differential equations, Math. Magazine, 65 (1988) , p35. 
      S. StrogatzNonlinear Dynamics and Chaos, Westwiev Press, 1994. 
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