Stochastic model for multi-term time-fractional diffusion equations with noise

This paper studies a spectral collocation approach for evaluating the numerical solution of stochastic multi-term time-fractional diffusion equations associated with noisy data driven by Brownian motion. model describes symmetry breaking in molecular vibrations. The is proposed means points method based on sixth-kind Chebyshev polynomial approach. For this purpose, problem under consideration reduced to system linear algebraic equations. Two examples highlight robustness and accuracy