Homogeneous linear systems: constant coefficients: Difference between revisions
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Notice that \xi is an [[eigenvector]]. The entire eigenspace is solutions. | Notice that \xi is an [[eigenvector]]. The entire eigenspace is solutions. As such, we use the characteristic polynomial | ||
<math> | |||
A-\lambda I | |||
</math> | |||
where lambda is the eigenvalues. | |||
There are cases where there are repeated roots. | |||
There will be a general solution if A is [[diagonalization|diagonalizable]] and n eigenvectors are linearly independent and form a basis in R^n, where we get the fundamental set | |||
<math> | |||
e^{r_1t}\xi^{(1)}, \ldots, e^{r_nt}\xi^{(n)} | |||
</math> | |||
The [[Wronskian]] is then | |||
<math> | |||
e^{t\sum r}|\xi^{(1)}, \xi^{(1)}| | |||
</math> | |||
Latest revision as of 17:15, 10 June 2024
Homogeneous linear systems of ODEs take the following form:
Similar to the scalar case, we look for some exponential solutions:
Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle \vec{x}=e^{rt}\vec{\xi } }
Doing some basic differentiation and substitution from the above two equations, we get
Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle r\vec{\xi}=A\vec{\xi} }
Notice that \xi is an eigenvector. The entire eigenspace is solutions. As such, we use the characteristic polynomial
where lambda is the eigenvalues.
There are cases where there are repeated roots.
There will be a general solution if A is diagonalizable and n eigenvectors are linearly independent and form a basis in R^n, where we get the fundamental set
The Wronskian is then
