Fundamental matrix linear system equivalent to linear matrix system

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The discussion focuses on the equivalence of a fundamental matrix linear system and a linear matrix system, specifically examining the case with two linearly independent solutions. The user derives that the relationship between the derivatives and the fundamental matrix leads to the equation Φ'(t) = AΦ(t). Questions arise regarding the correctness of this proof and the distinction between the functions φ(t) and x(t). Additionally, the user seeks clarification on the differentiation of x(t) defined as Φ(t)x_0, where x_0 is constant. The conversation emphasizes understanding the definitions and implications of these mathematical concepts.
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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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What is the difference between ##\phi(t)## and ##x(t)##? How are both defined?
 
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What do you get if you differentiate x(t) = \Phi(t)x_0 for constant x_0?
 
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