How to express Jump Process in terms of the generator (rate matrix) A

In summary, a jump process is a type of stochastic process that experiences abrupt changes, known as jumps, at certain points in time. These jumps are modeled using a rate matrix, also known as the generator, which describes the probability, size, and direction of the jumps. The Kolmogorov backward equation can be used to express the jump process in terms of the generator. The generator provides important information about the dynamics of the process, such as the expected number of jumps, average size of the jumps, and the probability of jumps occurring in a certain direction. It is also closely related to other properties of the jump process, such as transition probabilities, stationary distribution, and mean-reverting behavior.
  • #1
dyh
11
0
Hi Guys

I have problem to express the jump process as following ways.

Please let me know your ideas~!

Thank you so much.

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Let (Xt)t≥0 be an irreducible continuous-time jump process on a nite state space
{1,...,N}. Let T = inf{t > 0 : Xt ≠ X0} be the time of the first jump. Assuming
that α (1,2) > 0 express P(T > t|X0 = 1, XT = 2) in terms of the generator (rate
matrix) A

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  • #2
P(T > t|X0 = 1, XT = 2) can be expressed as the following: P(T > t|X0 = 1, XT = 2) = 1 - [α(1,2) * e^(-A*t)]/[1+(N-1)*α(1,2)*e^(-A*t)]
 

Related to How to express Jump Process in terms of the generator (rate matrix) A

What is a jump process?

A jump process is a type of stochastic process in which the value of the process can change abruptly at certain points in time. These abrupt changes are known as jumps, and they are modeled using a rate matrix.

What is the generator of a jump process?

The generator of a jump process, also known as the rate matrix, is a square matrix that describes the rate of change of the process at any given time. It contains information about the probability of a jump occurring, as well as the size and direction of the jump.

How do you express a jump process in terms of the generator?

A jump process can be expressed in terms of the generator by using the Kolmogorov backward equation. This equation relates the generator to the probability of the process being in a certain state at a specific time.

What information can be obtained from the generator of a jump process?

The generator of a jump process provides important information about the dynamics of the process, such as the expected number of jumps in a given time interval, the average size of the jumps, and the probability of a jump occurring in a certain direction.

How does the generator relate to other properties of a jump process?

The generator is a key component in understanding and analyzing the behavior of a jump process. It is closely related to other properties, such as the transition probabilities, the stationary distribution, and the mean-reverting behavior of the process.

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