SUMMARY
The discussion focuses on the continuity of the solution to the initial value problem (IVP) defined by the differential equation $\overset{\cdot }{\mathop{x}}\,=Ax$ with initial condition $x(0)=x_0$. It is established that for a matrix $A_{n\times n}$ with real and distinct eigenvalues, the limit $\lim_{y_0\to x_0}u(t,y_0)=u(t,x_0)$ holds for each fixed $t\in\mathbb{R}$. The general solution is given by $u(t,x_{0}) = c_{0}\ A\ e^{\lambda\ t}$, where $c_{0}= x_{0}\ A^{-1}$, confirming that $u(t,x_{0})$ is continuous in $x_{0}$.
PREREQUISITES
- Understanding of linear differential equations
- Knowledge of matrix theory, specifically eigenvalues and eigenvectors
- Familiarity with the concept of initial value problems (IVPs)
- Basic proficiency in calculus and limits
NEXT STEPS
- Study the properties of matrices with distinct eigenvalues
- Learn about the stability of solutions to linear differential equations
- Explore the application of the exponential matrix $e^{At}$ in solving IVPs
- Investigate continuity and differentiability in the context of functional analysis
USEFUL FOR
Mathematicians, students studying differential equations, and researchers in applied mathematics focusing on the continuity of solutions in initial value problems.