Fundamental matrix (linear differential equation)

{{Short description|Matrix consisting of linearly independent solutions to a linear differential equation}}

{{dablink|For other senses of the term, see Fundamental matrix (disambiguation).}}

In mathematics, a fundamental matrix of a system of n homogeneous linear ordinary differential equations \dot{\mathbf{x}}(t) = A(t) \mathbf{x}(t) is a matrix-valued function \Psi(t) whose columns are linearly independent solutions of the system.{{cite book |first=D. |last=Somasundaram |title=Ordinary Differential Equations: A First Course |location=Pangbourne |publisher=Alpha Science |year=2001 |isbn=1-84265-069-6 |pages=233–240 |chapter=Fundamental Matrix and Its Properties |chapter-url=https://books.google.com/books?id=PduY2CjJ1zEC&pg=PA233 }}

Then every solution to the system can be written as \mathbf{x}(t) = \Psi(t) \mathbf{c}, for some constant vector \mathbf{c} (written as a column vector of height {{mvar|n}}).

A matrix-valued function \Psi is a fundamental matrix of \dot{\mathbf{x}}(t) = A(t) \mathbf{x}(t) if and only if \dot{\Psi}(t) = A(t) \Psi(t) and \Psi is a non-singular matrix for all {{nowrap| t .}}{{cite book |author=Chi-Tsong Chen |year=1998 |title=Linear System Theory and Design |edition=3rd |publisher=Oxford University Press |location=New York |isbn=0-19-511777-8 }}

Control theory

The fundamental matrix is used to express the state-transition matrix, an essential component in the solution of a system of linear ordinary differential equations.{{cite book |first=Donald E. |last=Kirk |title=Optimal Control Theory |location=Englewood Cliffs |publisher=Prentice-Hall |year=1970 |pages=19–20 |isbn=0-13-638098-0 |url=https://books.google.com/books?id=onuH0PnZwV4C&pg=PA19 }}

See also

References

{{Reflist}}

{{Matrix classes}}

Category:Matrices (mathematics)

Category:Differential calculus

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