MHB Continuity of IVP: Show $\lim_{y_0\to x_0}u(t,y_0)=u(t,x_0)$

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For the initial value problem defined by the matrix equation $\overset{\cdot }{\mathop{x}}\,=Ax$ with distinct real eigenvalues, the solution $u(t,x_0)$ is expressed as $u(t,x_{0}) = c_{0}\ A\ e^{\lambda\ t}$, where $c_{0}= x_{0}\ A^{-1}$. This formulation demonstrates that $u(t,x_0)$ is linear in $x_0$, ensuring its continuity. Consequently, it follows that for any fixed time $t \in \mathbb{R}$, the limit $\lim_{y_0\to x_0}u(t,y_0)$ equals $u(t,x_0)$. Thus, the continuity of the solution with respect to initial conditions is established.
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Let $A_{n\times n}$ be a matrix with real and distincts eigenvalues. Let $u(t,x_0)$ be a solution for the initial value problem $\overset{\cdot }{\mathop{x}}\,=Ax$ with $x(0)=x_0,$ then show that for each fixed $t\in\mathbb R,$ we have $$\lim_{y_0\to x_0}u(t,y_0)=u(t,x_0).$$
 
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Krizalid said:
Let $A_{n\times n}$ be a matrix with real and distincts eigenvalues. Let $u(t,x_0)$ be a solution for the initial value problem $\overset{\cdot }{\mathop{x}}\,=Ax$ with $x(0)=x_0,$ then show that for each fixed $t\in\mathbb R,$ we have $$\lim_{y_0\to x_0}u(t,y_0)=u(t,x_0).$$
[sp]The general solution of the IVP is $\displaystyle u(t,x_{0}) = c_{0}\ A\ e^{\lambda\ t}$, where $\displaystyle c_{0}= x_{0}\ A^{-1}$, so that $u(t,x_{0})$ is linear in $x_{0}$ and therefore continous...[/sp]Kind regards $\chi$ $\sigma$
 
I have been insisting to my statistics students that for probabilities, the rule is the number of significant figures is the number of digits past the leading zeros or leading nines. For example to give 4 significant figures for a probability: 0.000001234 and 0.99999991234 are the correct number of decimal places. That way the complementary probability can also be given to the same significant figures ( 0.999998766 and 0.00000008766 respectively). More generally if you have a value that...

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