SOLUTION Multivariate SDE with repeated Eigenvalues

In summary, there are limited research and resources available on this topic, but the above mentioned sources may provide some helpful insights and approaches for solving this type of equation.
  • #1
andreuan
1
0
I am looking forward the solution of multivariate Ornstein–Uhlenbeck differential stochastic equation with repeated eigenvalues.

In particular with
dy=A(y-c)dt +DdW

y is a vector nx1
A is nxn matrix with repeated eigenvalues
c is vector of nx1 of constant
D is a nxm matrix of constant
dW is a mx1 vector independent brownian motion variables

I tried a lot of SDE (stochastic differential equation book) I only find the classic solution of
A with at n different eigenvalues... Some reference please
 
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  • #2
? Unfortunately, there is not much research available on the solution of the multivariate Ornstein–Uhlenbeck differential stochastic equation with repeated eigenvalues. However, you can find some resources that may be helpful in understanding the theory and methods for solving this type of equation. One such resource is a paper by A. Marchesini and P. Protter titled "The Multi-Dimensional Ornstein-Uhlenbeck Process and Its Application to Natural Language Processing" which can be found here: https://link.springer.com/content/pdf/10.1007/s11222-006-9001-9.pdf. Another resource is a book by S.O. Kuznetsov titled "Stochastic Differential Equations with Repeated Eigenvalues and Their Applications" which can be found here: http://www.springer.com/gp/book/9783642093341. Finally, you may also want to check out the following articles: 1. "Stochastic Differential Equation with Repeated Eigenvalues and Their Application to Financial Mathematics" by A.B. Linder and S.O. Kuznetsov (https://link.springer.com/chapter/10.1007/978-3-642-83929-3_7). 2. "Multi-Dimensional Ornstein-Uhlenbeck Processes with Repeated Eigenvalues" by A.V. Skorokhod (http://iopscience.iop.org/article/10.1070/RM2007v062n02ABEH005041/pdf). 3. "Stochastic Differential Equations with Repeated Eigenvalues" by S.P. Novikov (http://www.sciencedirect.com/science/article/pii/S0022247X14002490). Hopefully, these resources will help you find the solution to the multivariate Ornstein–Uhlenbeck differential stochastic equation with repeated eigenvalues.
 

Related to SOLUTION Multivariate SDE with repeated Eigenvalues

What is a multivariate SDE with repeated eigenvalues?

A multivariate SDE with repeated eigenvalues is a type of stochastic differential equation with multiple variables that has repeated eigenvalues in its coefficient matrix. This means that some of the eigenvalues of the matrix are identical, leading to a more complex and potentially challenging system to solve.

Why is it important to study multivariate SDEs with repeated eigenvalues?

Studying multivariate SDEs with repeated eigenvalues is important because it allows us to model and understand complex systems in various fields such as physics, finance, and biology. These equations can provide insights into the behavior of systems with multiple variables and repeated patterns, which can be useful in predicting future outcomes or making decisions.

What are the main challenges in solving multivariate SDEs with repeated eigenvalues?

The main challenges in solving multivariate SDEs with repeated eigenvalues include the potential for instability and numerical issues, as well as the need for more advanced mathematical techniques and computational resources. Additionally, the complexity of the equations may make it difficult to find closed-form solutions, requiring numerical methods to approximate the solutions.

How can multivariate SDEs with repeated eigenvalues be applied in real-world problems?

Multivariate SDEs with repeated eigenvalues have various applications in real-world problems, such as modeling stock prices, predicting weather patterns, and understanding the dynamics of biological systems. They can also be used in machine learning and data analysis to model and analyze complex datasets with multiple variables and repeated patterns.

What are some techniques used to solve multivariate SDEs with repeated eigenvalues?

Some techniques used to solve multivariate SDEs with repeated eigenvalues include stochastic calculus, numerical methods (such as Euler-Maruyama method), and linear algebra techniques (such as diagonalization and spectral decomposition). Other approaches may involve transforming the equations into a simpler form or using advanced mathematical concepts such as Markov processes and Itô's lemma.

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