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Strong solution and approximation of time-dependent radial Dunkl processes with multiplicative noise

Minh-Thang Do, Hoang-Long Ngo, Dai Taguchi

Abstract

We study the strong existence and uniqueness of solutions within a Weyl chamber for a class of time-dependent particle systems driven by multiplicative noise. This class includes well-known processes in physics and mathematical finance. We propose a method to prove the existence of negative moments for the solutions. This result allows us to analyze two numerical schemes for approximating the solutions. The first scheme is a $θ$-Euler--Maruyama scheme, which ensures that the approximated solution remains within the Weyl chamber. The second scheme is a truncated $θ$-Euler--Maruyama scheme, which produces values in $\mathbb{R}^{d}$ instead of the Weyl chamber $\mathbb{W}$, offering improved computational efficiency.

Strong solution and approximation of time-dependent radial Dunkl processes with multiplicative noise

Abstract

We study the strong existence and uniqueness of solutions within a Weyl chamber for a class of time-dependent particle systems driven by multiplicative noise. This class includes well-known processes in physics and mathematical finance. We propose a method to prove the existence of negative moments for the solutions. This result allows us to analyze two numerical schemes for approximating the solutions. The first scheme is a -Euler--Maruyama scheme, which ensures that the approximated solution remains within the Weyl chamber. The second scheme is a truncated -Euler--Maruyama scheme, which produces values in instead of the Weyl chamber , offering improved computational efficiency.

Paper Structure

This paper contains 10 sections, 9 theorems, 123 equations.

Key Result

Theorem 2.2

Under Assumption Ass_1, SDE SDE_1 has a unique $\mathbb{W}$-valued strong solution. Moreover, for any $p \in (0,\infty)$, it holds that

Theorems & Definitions (23)

  • Theorem 2.2
  • Example 2.3: Radial Dunkl process
  • Example 2.4: Time-dependent Bessel process and Cox--Ingersoll--Ross model
  • Example 2.5
  • Example 2.6
  • proof : Proof of Theorem \ref{['Thm_1']}
  • Theorem 2.7
  • proof
  • Lemma 2.8
  • proof
  • ...and 13 more