Dynamics of Romeo and Juliet's Affections

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Explore the oscillatory dynamics of Romeo and Juliet's love and hate relationships through state space diagrams, nullcline angles, and trajectory loops. Witness how their affections form closed cycles, sinusoidal movements, and stability patterns with crossed nullclines.

  • Romance
  • Dynamics
  • Oscillations
  • State Space
  • Love

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Presentation Transcript


  1. Oscillations Romeo and Juliet Nullcline angles Time delays Stochastic excitation 1

  2. Romeo and Juliets affections form a state space J = Love that Juliet professes for Romeo R = Love that Romeo professes for Juliet J Juliet professes love, but Romeo professes hate Both profess love R Romeo professes love, but Juliet professes hate Both profess hate 2

  3. Juliets dynamics Juliet professes more and more love when Romeo expresses love J ?? ??= ? R 3

  4. Romeos dynamics Romeo professes less and less love when Juliet professes love J ?? ??= ? ?? ??= ? R 4

  5. Trajectory of Romeo and Juliets dynamics form a closed loop Romeo and Juliet chase each other around in a perpetual soap opera J ?? ??= ? ?? ??= ? R 5

  6. Romeo and Juliets dynamics are sinusoidal J ?? ??= ? ?? ??= ? R ?2? ??2= ?? ?? ?2? ??2= ? ? = ?0cos ? ? = ?0sin ? 6

  7. Oscillations Romeo and Juliet Nullcline angles Time delays Stochastic excitation 7

  8. Derivatives can change sign at nullclines J ?? ??= 0 R 8

  9. Derivatives can change sign at nullclines J ?? ??= 0 R 9

  10. Crossed nullclines can support stable stars J R 10

  11. Crossed nullclines can support stable spirals J R 11

  12. Crossed nullclines can support closed cycles J R 12

  13. Crossed nullclines can support unstable spirals J R 13

  14. Oscillations Romeo and Juliet Nullcline angles Time delays Stochastic excitation 14

  15. Time delay J R 15

  16. Time delay J Current state Previous state R 16

  17. Oscillations Romeo and Juliet Nullcline angles Time delays Stochastic excitation 17

  18. Stochastic excitation J R 18

  19. Stochastic excitation J R 19

  20. Stochastic excitation J R 20

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