Fundamental matrix linear system equivalent to linear matrix system

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Homework Statement
In my lecture notes I have ##Φ'(t) = AΦ(t) ⟷ x'(t) = Ax##. I am trying to understand why.
Relevant Equations
##Φ'(t) = AΦ(t) ⟷ x'(t) = Ax##
My working is ,
Consider case where the there are two linearly independent solutions
##x'(t) = c_1x' + c_2y' = A(c_1x + c_2y)##
##(x'~y')(c_1~c_2)^T = A(x~y)(c_1~c_2)^T##

Then cancelling coefficient matrix I get,
##(x'~y')= A(x~y)##
##Φ'(t) = AΦ(t) ## by definition of 2 x 2 fundamental matrix

Does someone please know whether this proof is correct?
Thanks!
 
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  • #2
What is the difference between ##\phi(t)## and ##x(t)##? How are both defined?
 
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  • #3
What do you get if you differentiate [itex]x(t) = \Phi(t)x_0[/itex] for constant [itex]x_0[/itex]?
 
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FAQ: Fundamental matrix linear system equivalent to linear matrix system

What is a fundamental matrix in the context of linear systems?

A fundamental matrix is a matrix solution to a system of linear differential equations. It is constructed from the solutions of the system and provides a framework for expressing the general solution of the system. The fundamental matrix captures the behavior of the system and can be used to analyze its stability and dynamics.

How is the fundamental matrix related to the linear matrix system?

The fundamental matrix is derived from the linear matrix system, which consists of a set of first-order linear differential equations. The fundamental matrix can be obtained by solving the system and organizing the solutions into a matrix form. Each column of the fundamental matrix corresponds to a particular solution of the system, allowing for the general solution to be expressed as a linear combination of these columns.

What is the significance of the determinant of the fundamental matrix?

The determinant of the fundamental matrix is significant because it indicates whether the solutions to the linear system are linearly independent. If the determinant is non-zero, the solutions are independent, and the system is said to be stable. Conversely, if the determinant is zero, it implies that the solutions are dependent, which may lead to instability or a lack of unique solutions.

Can the fundamental matrix be used to solve non-homogeneous linear systems?

Yes, the fundamental matrix can be used to solve non-homogeneous linear systems. The general solution to a non-homogeneous system can be expressed as the sum of the homogeneous solution, which is derived from the fundamental matrix, and a particular solution that addresses the non-homogeneous terms. This approach allows for a comprehensive solution to the system.

How do you compute the fundamental matrix for a given linear system?

To compute the fundamental matrix for a given linear system, you typically follow these steps: first, write the system in matrix form; then, solve the system of equations to find the independent solutions. These solutions are organized into a matrix, known as the fundamental matrix. The initial conditions may also be applied to determine specific solutions if needed.

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