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I recently come across some literature in stochastic analysis that uses the following result:

Consider the one-dimensional SDE

 

$$dX_t= a(t, X_t) \, dt + b(t, X_t) \, dW_t, $$

 

where $a, b: \mathbb{R}^2 \rightarrow \mathbb{R}$ are Borel-measurable functions and $\{W_t\}_{t \geq 0}$ is a Wiener process. Suppose that $a,b$ also satisfy

 

$1. \, \, \, \,\,\,\,\,|a(t,x)- a(t,y)| + |b(t,x) - b(t,y) | \leq K |x-y|, \quad \forall x, y \in \mathbb{R},$ $\forall t \geq 0$, for some constant $K>0$, and

 

$2. \, \, \, \,\,\,\,\, $the functions $t \mapsto a(t,x)$ and $t \mapsto b(t,x)$ are continuous, $\forall x \in \mathbb{R}$.

 

Then, the SDE has a unique strong solution.

The classical result about existence of strong solution in SDEs requires Lipschitzness in the space variable and linear growth in the space variable. I don't see how the latter can be replaced by the requirement of continuity in the time variable. Does anyone know the proof of this result?

Ref: At the bottom of Page 23 of https://spiral.imperial.ac.uk/bitstream/10044/1/28918/3/McMurray-EFV-2015-PhD-Thesis.pdf

I recently come across some literature in stochastic analysis that uses the following result:

Consider the one-dimensional SDE

 

$$dX_t= a(t, X_t) \, dt + b(t, X_t) \, dW_t, $$

 

where $a, b: \mathbb{R}^2 \rightarrow \mathbb{R}$ are Borel-measurable functions and $\{W_t\}_{t \geq 0}$ is a Wiener process. Suppose that $a,b$ also satisfy

 

$1. \, \, \, \,\,\,\,\,|a(t,x)- a(t,y)| + |b(t,x) - b(t,y) | \leq K |x-y|, \quad \forall x, y \in \mathbb{R},$ $\forall t \geq 0$, for some constant $K>0$, and

 

$2. \, \, \, \,\,\,\,\, $the functions $t \mapsto a(t,x)$ and $t \mapsto b(t,x)$ are continuous, $\forall x \in \mathbb{R}$.

 

Then, the SDE has a unique strong solution.

The classical result about existence of strong solution in SDEs requires Lipschitzness in the space variable and linear growth in the space variable. I don't see how the latter can be replaced by the requirement of continuity in the time variable. Does anyone know the proof of this result?

Ref: At the bottom of Page 23 of https://spiral.imperial.ac.uk/bitstream/10044/1/28918/3/McMurray-EFV-2015-PhD-Thesis.pdf

I recently come across some literature in stochastic analysis that uses the following result:

Consider the one-dimensional SDE

$$dX_t= a(t, X_t) \, dt + b(t, X_t) \, dW_t, $$

where $a, b: \mathbb{R}^2 \rightarrow \mathbb{R}$ are Borel-measurable functions and $\{W_t\}_{t \geq 0}$ is a Wiener process. Suppose that $a,b$ also satisfy

$1. \, \, \, \,\,\,\,\,|a(t,x)- a(t,y)| + |b(t,x) - b(t,y) | \leq K |x-y|, \quad \forall x, y \in \mathbb{R},$ $\forall t \geq 0$, for some constant $K>0$, and

$2. \, \, \, \,\,\,\,\, $the functions $t \mapsto a(t,x)$ and $t \mapsto b(t,x)$ are continuous, $\forall x \in \mathbb{R}$.

Then, the SDE has a unique strong solution.

The classical result about existence of strong solution in SDEs requires Lipschitzness in the space variable and linear growth in the space variable. I don't see how the latter can be replaced by the requirement of continuity in the time variable. Does anyone know the proof of this result?

Ref: At the bottom of Page 23 of https://spiral.imperial.ac.uk/bitstream/10044/1/28918/3/McMurray-EFV-2015-PhD-Thesis.pdf

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Richard
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I recently come across some literature in stochastic analysis that uses the following result:

Consider the one-dimensional SDE

$$dX_t= a(t, X_t) \, dt + b(t, X_t) \, dW_t, $$

where $a, b: \mathbb{R}^2 \rightarrow \mathbb{R}$ are Borel-measurable functions and $\{W_t\}_{t \geq 0}$ is a Wiener process. Suppose that $a,b$ also satisfy

$1. \, \, \, \,\,\,\,\,|a(t,x)- a(t,y)| + |b(t,x) - b(t,y) | \leq K |x-y|, \quad \forall x, y \in \mathbb{R},$ $\forall t \geq 0$, for some constant $K>0$, and

$2. \, \, \, \,\,\,\,\, $the functions $t \mapsto a(t,x)$ and $t \mapsto b(t,x)$ are continuous, $\forall x \in \mathbb{R}$.

Then, the SDE has a unique strong solution.

The classical result about existence of strong solution in SDEs requires Lipschitzness in the space variable and linear growth in the space variable. I don't see how the latter can be replaced by the requirement of continuity in the time variable. Does anyone know the proof of this result?

Ref: At the bottom of Page 23 of https://spiral.imperial.ac.uk/bitstream/10044/1/28918/3/McMurray-EFV-2015-PhD-Thesis.pdf

I recently come across some literature in stochastic analysis that uses the following result:

Consider the one-dimensional SDE

$$dX_t= a(t, X_t) \, dt + b(t, X_t) \, dW_t, $$

where $a, b: \mathbb{R}^2 \rightarrow \mathbb{R}$ are Borel-measurable functions and $\{W_t\}_{t \geq 0}$ is a Wiener process. Suppose that $a,b$ also satisfy

$1. \, \, \, \,\,\,\,\,|a(t,x)- a(t,y)| + |b(t,x) - b(t,y) | \leq K |x-y|, \quad \forall x, y \in \mathbb{R},$ $\forall t \geq 0$, for some constant $K>0$, and

$2. \, \, \, \,\,\,\,\, $the functions $t \mapsto a(t,x)$ and $t \mapsto b(t,x)$ are continuous, $\forall x \in \mathbb{R}$.

Then, the SDE has a unique strong solution.

The classical result about existence of strong solution in SDEs requires Lipschitzness in the space variable and linear growth in the space variable. I don't see how the latter can be replaced by the requirement of continuity in the time variable. Does anyone know the proof of this result?

I recently come across some literature in stochastic analysis that uses the following result:

Consider the one-dimensional SDE

$$dX_t= a(t, X_t) \, dt + b(t, X_t) \, dW_t, $$

where $a, b: \mathbb{R}^2 \rightarrow \mathbb{R}$ are Borel-measurable functions and $\{W_t\}_{t \geq 0}$ is a Wiener process. Suppose that $a,b$ also satisfy

$1. \, \, \, \,\,\,\,\,|a(t,x)- a(t,y)| + |b(t,x) - b(t,y) | \leq K |x-y|, \quad \forall x, y \in \mathbb{R},$ $\forall t \geq 0$, for some constant $K>0$, and

$2. \, \, \, \,\,\,\,\, $the functions $t \mapsto a(t,x)$ and $t \mapsto b(t,x)$ are continuous, $\forall x \in \mathbb{R}$.

Then, the SDE has a unique strong solution.

The classical result about existence of strong solution in SDEs requires Lipschitzness in the space variable and linear growth in the space variable. I don't see how the latter can be replaced by the requirement of continuity in the time variable. Does anyone know the proof of this result?

Ref: At the bottom of Page 23 of https://spiral.imperial.ac.uk/bitstream/10044/1/28918/3/McMurray-EFV-2015-PhD-Thesis.pdf

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Richard
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Existence of strong solution in SDEs and continuity in the time variable

I recently come across some literature in stochastic analysis that uses the following result:

Consider the one-dimensional SDE

$$dX_t= a(t, X_t) \, dt + b(t, X_t) \, dW_t, $$

where $a, b: \mathbb{R}^2 \rightarrow \mathbb{R}$ are Borel-measurable functions and $\{W_t\}_{t \geq 0}$ is a Wiener process. Suppose that $a,b$ also satisfy

$1. \, \, \, \,\,\,\,\,|a(t,x)- a(t,y)| + |b(t,x) - b(t,y) | \leq K |x-y|, \quad \forall x, y \in \mathbb{R},$ $\forall t \geq 0$, for some constant $K>0$, and

$2. \, \, \, \,\,\,\,\, $the functions $t \mapsto a(t,x)$ and $t \mapsto b(t,x)$ are continuous, $\forall x \in \mathbb{R}$.

Then, the SDE has a unique strong solution.

The classical result about existence of strong solution in SDEs requires Lipschitzness in the space variable and linear growth in the space variable. I don't see how the latter can be replaced by the requirement of continuity in the time variable. Does anyone know the proof of this result?