Page 20.2: Definition for a Matrix Exponential Function. Properties

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    Page 20.2: Definition for a Matrix Exponential Function. Properties
    Definition

    Let \(A\in \mathcal{R}\) and \(t_0\in \mathbb{T}\). The unique solution of the IVP
    \begin{equation*}
    Y^{\Delta}=A(t)Y,\quad Y(t_0)=I,
    \end{equation*}
    is called the matrix exponential function. It is denoted by \(e_A(\cdot, t_0)\).

    Theorem

    Let \(A, B\in \mathcal{R}\) and \(t, s, r\in \mathbb{T}\). Then

    1. \(e_0(t, s)=I\), \(e_A(t, t)=I\),

    2. \(e_A(\sigma(t), s)=(I+\mu(t)A(t))e_A(t, s)\),

    3. \(e_A(s, t)=e_A^{-1}(t, s)=e_{\ominus A^*}^*(t, s)\),

    4. \(e_A(t, s) e_A(s, r)=e_A(t, r)\),

    5.  \(e_A(t, s)e_B(t, s)=e_{A\oplus B}(t, s)\) if \(e_A(t, s)\) and \(B\) commute.

    Proof

    1. Consider the IVP
    \begin{equation*}
    Y^{\Delta}=O,\quad Y(s)=I.
    \end{equation*}
    Then its unique solution is
    \begin{equation*}
    e_O(t, s)=I.
    \end{equation*}
    Now we consider the IVP
    \begin{equation*}
    Y^{\Delta}=A(t)Y,\quad Y(s)=I.
    \end{equation*}
    By the definition of \(e_A(\cdot, s)\) we obtain
    \begin{equation*}
    e_A(s, s)=I.
    \end{equation*}

    2.  By Theorem  the definition of \(e_A(\cdot, s)\), we have
    \begin{eqnarray*}
    e_A(\sigma(t), s)&=& e_A(t, s)+\mu(t) e_{A}^{\Delta}(t, s)\\ \\
    &=& e_A(t, s)+\mu(t) A(t) e_A(t, s)\\ \\
    &=&(I+\mu(t)A(t))e_A(t, s).
    \end{eqnarray*}

    3.  Let
    \begin{equation*}
    Z(t)=\left(e_A^{-1}(t, s)\right)^*.
    \end{equation*}
    Then
    \begin{eqnarray*}
    Z^{\Delta}(t)&=&\left(\left(e_A^{-1}(t, s)\right)^{\Delta}\right)^*\\ \\
    &=& -\left(e_A^{-1}(t, s) e_A^{\Delta}(t, s)\left(e_A(\sigma(t), s)\right)^{-1}\right)^*\\ \\
    &=& -\left(e_A^{-1}(t, s) A(t) e_A(t, s)\left(e_A(\sigma(t), s)\right)^{-1}\right)^*\\ \\
    &=& -\left(A(t) \left(e_A(\sigma(t), s)\right)^{-1}\right)^*\\ \\
    &=& -\left(A(t)\left((I+\mu(t) A(t))e_A(t, s)\right)^{-1}\right)^*\\ \\
    &=& -\left(A(t) e_A^{-1}(t, s) \left(I+\mu(t)A(t)\right)^{-1}\right)^*\\ \\
    &=& \left(e_A^{-1}(t, s) \left(-\left(I+\mu(t) A(t)\right)^{-1}A(t) \right)\right)^*\\ \\
    &=& \left(e_A^{-1}(t, s)(\ominus A)(t)\right)^*\\ \\
    &=& (\ominus A)^* (t) \left(e_A(t, s)\right)^*\\ \\
    &=& \left(\ominus A^*\right) (t) Z(t).
    \end{eqnarray*}
    Therefore
    \begin{equation*}
    Z(t)=e_{\ominus A^*}(t, s),
    \end{equation*}
    i.e.,
    \begin{equation*}
    e_{\ominus A^*}(t, s)=\left(e_A^{-1}(t, s)\right)^*,
    \end{equation*}
    or
    \begin{equation*}
    e_A^{-1}(t, s)= e_{\ominus A^*}^*(t, s).
    \end{equation*}

    4.  Let
    \begin{equation*}
    Z(t)= e_A(t, s) e_A(s, r).
    \end{equation*}
    Then
    \begin{eqnarray*}
    Z^{\Delta}(t)&=& e_A^{\Delta}(t, s) e_A(s, r)\\ \\
    &=& A(t) e_A(t, s) e_A(s, r)\\ \\
    &=& A(t) Z(t),\\ \\
    Z(r)&=&e_A(r, s) e_A(s, r)\\ \\
    &=& e_A^{-1}(s, r) e_A(s, r)\\ \\
    &=& I\\ \\
    &=& e_A(r, r).
    \end{eqnarray*}
    Therefore
    \begin{equation*}
    e_A(t, s) e_A(s, r)=e_A(t, r).
    \end{equation*}

    5.  Let
    \begin{equation*}
    Z(t)= e_A(t, s) e_B(t, s).
    \end{equation*}
    Then
    \begin{eqnarray*}
    Z^{\Delta}(t)&=& e_A^{\Delta}(t, s) e_B^{\sigma}(t, s) +e_A(t, s) e_B^{\Delta}(t, s)\\ \\
    &=& A(t) e_A(t, s) (I+\mu(t)B(t))e_B(t, s)\\ \\
    &&+B(t) e_A(t, s) e_B(t, s)\\ \\
    &=& A(t)(I+\mu(t)B(t))e_A(t, s) e_B(t, s) +B(t) e_A(t, s) e_B(t, s)\\ \\
    &=& (A(t)+B(t) +\mu(t)A(t)B(t))e_A(t, s) e_B(t, s)\\ \\
    &=& (A\oplus B)(t) Z(t),\\ \\
    Z(s)&=& e_A(s, s) e_B(s, s)\\ \\
    &=& I.
    \end{eqnarray*}
    Consequently
    \begin{equation*}
    e_{A\oplus B}(t, s)=e_A(t, s) e_B(t, s).
    \end{equation*}
    This completes the proof.

    Theorem

    Let \(A\in \mathcal{R}\) and \(t, s\in \mathbb{T}\). Then
    \begin{equation*}
    \left(e_A(s, t)\right)_t^{\Delta}=-e_A(s, \sigma(t))A(t).\end{equation*}

    Proof
    We have
    \begin{eqnarray*}
    \left(e_A(s, t)\right)_t^{\Delta}&=& \left(e_A^{-1}(t, s)\right)_t^{\Delta}\\ \\
    &=& \left(e_{\ominus A^*}^*(t, s)\right)_t^{\Delta}\\ \\
    &=& \left(\left(e_{\ominus A^*}(t, s)\right)_t^{\Delta}\right)^*\\ \\
    &=& \left((\ominus A^*)(t) e_{\ominus A^*}(t, s)\right)^*\\ \\
    &=& \left(-\left(I+\mu(t)A^*(t)\right)^{-1}A^*(t) e_{\ominus A^*}(t, s)\right)^*\\ \\
    &=& \left(-A^*(t)\left(I+\mu(t) A^*(t)\right)^{-1}e_{\ominus A^*}(t, s)\right)^*\\ \\
    &=& \left(-A^*(t) e_{\ominus A^*}(\sigma(t), s)\right)^*\\ \\
    &=& -e_{\ominus A^*}^*(\sigma(t), s) A(t)\\ \\
    &=& -e_A(s, \sigma(t))A(t).
    \end{eqnarray*}
    This completes the proof.

     


    This page titled Page 20.2: Definition for a Matrix Exponential Function. Properties was last modified on Tue, 20 Jan 2026 03:57:06 GMT and is shared under a CC BY-NC-SA license and was authored, remixed, and/or curated by Svetlin G. Georgiev.