Solving differential system with matrices

In summary, when finding eigenvectors for a matrix, rows with all values of 0 are not taken into consideration.
  • #1
hatsu27
10
0
I am solving a system X'=AX
where A=[(1,-1,1),(0,2,-1),(0,0,1)]
I have found my eigenvalues where Lamda = 2, and 1 w/ mult.2
now in finding my eigenvectors when Lamda = 1 my matrix looks
like this: [(0,1,-1),(0,0,0),(0,0,0)] and the 1st eigenvector is (0,1,1)
and I'm pretty sure from past linear algebra class the 2nd one is (1,0,0) but I can't remember why. if in this matrix there is no x1 how come it has a value in this vector. I remember being flumoxed by this before and I just want to understand why and what I'm doing here. Thanks!
 
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  • #2
The eigenvectors are determined by the elements of the matrix that correspond to the eigenvalue λ. If your matrix has a row where all elements have the value 0, then that row is not taken into consideration when finding the eigenvector. In this case, since row 1 only has values 0, we don't consider it while looking for the eigenvector corresponding to λ = 1. Therefore, the eigenvector (1, 0, 0) is the correct solution.
 

FAQ: Solving differential system with matrices

What is a differential system?

A differential system is a set of differential equations that are connected to each other through their variables. These equations describe how the variables change over time or in response to other factors.

Why use matrices to solve differential systems?

Matrices provide an efficient way to represent and manipulate the coefficients and variables in a differential system. They also allow for the use of linear algebra techniques to solve the system, which can be more efficient and accurate than traditional methods.

How do you set up a differential system as a matrix equation?

To set up a differential system as a matrix equation, you first need to rearrange the equations so that all variables are on one side and the derivatives on the other side. Then, the coefficients of each variable and derivative can be arranged into a matrix, and the variables and derivatives can be represented as column vectors. The matrix equation will have the form Ax = b, where A is the coefficient matrix, x is the vector of variables and derivatives, and b is a vector of constants.

What methods can be used to solve differential systems with matrices?

Some common methods for solving differential systems with matrices include Gaussian elimination, LU decomposition, and eigenvalue decomposition. These methods all involve manipulating the coefficient matrix to reduce it to a simpler form, which can then be used to find the solutions for the variables and derivatives.

What are some applications of solving differential systems with matrices?

Solving differential systems with matrices is used in many fields, including physics, engineering, economics, and biology. It can help predict the behavior of complex systems over time, optimize processes and systems, and model real-world phenomena. Some specific applications include predicting weather patterns, designing control systems for robots, and modeling population growth.

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