solve fractional fuzzy stochastic differential equation

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George Urumov
George Urumov le 10 Jan 2023
Commenté : George Urumov le 23 Fév 2023
anyone knows how to create a model of fuzzy fractal Brownian motion when hurst parameter is NOT equal to 0.5 in Matlab.

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WEI-MIN SHEN
WEI-MIN SHEN le 5 Fév 2023
Déplacé(e) : Image Analyst le 5 Fév 2023
1 deal with the stochastic process with either Volterra or Harmonizable representation
2 select any type of stochastic calculus to solve your SODE
3 (for numerical simulation) you may need to involve some special orthogonal series to approach
4 discretize the SODE and solve in either integral or differential form
Simply, the main different between Bm and fBm is the smoothness of the trajectory (we also interpret as the accelerate/decelerate regon which the particle jump into)
If you just want a quick, there is a inbuild function to generate fBm called "wfbm"
For any mistake/misunderstanding, feel free to correct me
wm
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George Urumov
George Urumov le 6 Fév 2023
thats really helpful! thank you. what is the function to fuzzify paramerers such as Hurst exponent and others?
George Urumov
George Urumov le 23 Fév 2023
I think for fractal Brownian Motion need to use Benoit (http://www.trusoft-international.com/). have you tried it and if yes how did you implement it in Matlab?

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Image Analyst
Image Analyst le 10 Jan 2023
I don't know what that means but I have attached some random walk demos if you want those.
  2 commentaires
George Urumov
George Urumov le 11 Jan 2023
so random walk is basically brownian motion that is martingale with hurst equal to 0.5. i am after fractal brownian motion that i want to fuzzify as well.
Image Analyst
Image Analyst le 11 Jan 2023
I don't know what that means, but I don't need to. So, OK, good luck. Hopefully this gave you a good chunk of code to start with. Chances are that no one has such a very specific, esoteric program and if there is, they won't stumble across your question. So you'll have to finalize the code yourself. Again, have fun and good luck.

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