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The stationary distributions of state-dependent diffusions reflected at one and two sides

Masakiyo Miyazawa

Abstract

Consider a one-dimensional diffusion process which has state-dependent drift and deviation and is reflected at the origin, which is called a one-side reflected diffusion or simply reflected diffusion. We are particularly interested in the case that its drift and deviation are discontinuous. We define this reflected diffusion as the solution of a stochastic integral equation, and find conditions for its positive recurrence, We then derive its stationary distribution under these conditions. As a related problem, we also consider the case that it is reflected at two sides, which is called a two-sides reflected diffusion. Its existence, positive recurrence and stationary distribution are similarly studied. In the literature, these problems are studied through a state-dependent diffusion on the whole line particularly when the drift and deviation are discontinuous. However, the reflected process itself is not defined in such a study. Thus, the stationary distribution has not been fully studied for a general state-dependent reflected diffusion. We aim to fills this insufficiency and to make the stationary distributions of reflected diffusions widely available in application.

The stationary distributions of state-dependent diffusions reflected at one and two sides

Abstract

Consider a one-dimensional diffusion process which has state-dependent drift and deviation and is reflected at the origin, which is called a one-side reflected diffusion or simply reflected diffusion. We are particularly interested in the case that its drift and deviation are discontinuous. We define this reflected diffusion as the solution of a stochastic integral equation, and find conditions for its positive recurrence, We then derive its stationary distribution under these conditions. As a related problem, we also consider the case that it is reflected at two sides, which is called a two-sides reflected diffusion. Its existence, positive recurrence and stationary distribution are similarly studied. In the literature, these problems are studied through a state-dependent diffusion on the whole line particularly when the drift and deviation are discontinuous. However, the reflected process itself is not defined in such a study. Thus, the stationary distribution has not been fully studied for a general state-dependent reflected diffusion. We aim to fills this insufficiency and to make the stationary distributions of reflected diffusions widely available in application.

Paper Structure

This paper contains 8 sections, 7 theorems, 89 equations, 1 figure.

Key Result

Lemma 2.1

SIE (eq:X-SIE) has a unique weak solution $(X(\cdot), W(\cdot))$ up to the explosion time $S$ of $X(\cdot)$ if Condition cond:X-existence below holds. Furthermore, this $\{X(t); t \in [0,S)\}$ is a strong Markov process.

Figures (1)

  • Figure 1: Test function $g$

Theorems & Definitions (16)

  • Lemma 2.1: Theorem 5.15 of KaraShre1998
  • Lemma 2.2
  • Remark 2.1
  • Remark 2.2
  • proof : Proof of Lemma \ref{['lem:Z-X-existence']}
  • Theorem 3.1
  • Remark 3.1
  • proof
  • Lemma 4.1
  • Theorem 4.1
  • ...and 6 more