Fundamental matrix (linear differential equation)

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In mathematics, a fundamental matrix of a system of n homogeneous linear ordinary differential equations𝐱˙(t)=A(t)𝐱(t)is a matrix-valued function Ψ(t) whose columns are linearly independent solutions of the system.[1] Then every solution to the system can be written as 𝐱(t)=Ψ(t)𝐜, for some constant vector 𝐜 (written as a column vector of height Template:Mvar).

A matrix-valued function Ψ is a fundamental matrix of 𝐱˙(t)=A(t)𝐱(t) if and only if Ψ˙(t)=A(t)Ψ(t) and Ψ(t) is a non-singular matrix for all Template:Nowrap[2] Moreover, if the entries of A(t) are continuous in t, any solution to Ψ˙(t)=A(t)Ψ(t) which is a non-singular matrix for any single value of t, is automatically a non-singular matrix at all other values of t. Thus in this case, to check that Ψ is a fundamental matrix for this equation, it sufficient to check that it is non-singular at a single value of t.

Moreover, if there is at-least one choice of fundamental matrix for a given system, then for each choice of non-singular matrix B, there is exactly one fundamental matrix solution Ψ such that Ψ(0)=B[3]. The same result holds if 0 is replaced with any fixed value t0. Also, if Ψ0 is any fundamental matrix for this equation, then for any non-singular matrix C, the matrix Ψ(t)=Ψ0(t)C is also a fundamental matrix. In particular, if Ψ0 is any fixed fundamental solution for a given equation, then all other fundamental solutions for this equation are of the form Ψ0(t)C.

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.[4]

See also

References

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