Undergrad Verifying properties of Green's function

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The discussion centers on verifying properties of the Green's function related to a differential operator defined by a polynomial. The theorem outlines the solution to an initial value problem using the fundamental solution, E(t, τ), and describes how the properties of the modified function F(t, τ) can be derived from E(t, τ). There is confusion regarding the notation for derivatives and the continuity of F's derivatives, particularly at the boundary where t equals τ. The continuity of F and its derivatives is established through the behavior of the solutions to the initial value problem and their dependence on the parameter τ. The discussion emphasizes the need for clarity in understanding the mathematical properties and definitions involved in the theorem.
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I want to verify properties of the Green's function and its derivatives, such as continuity, discontinuity and being a solution to a linear homogeneous ODE.
I'm reading about fundamental solutions to differential operators in Ordinary Differential Equations by Andersson and Böiers. There is a remark that succeeds a theorem that I struggle with verifying. First, the theorem:

Theorem 6. Let $$L(t,\lambda)=\lambda^n+a_{n-1}(t)\lambda^{n-1}+\ldots+a_1(t)\lambda+a_0(t)\quad\text{and }D=\frac{d}{dt}.\tag1$$
Denote by ##E(t,\tau)## the uniquely determined solution ##u(t)## of the initial value problem
\begin{align}
&L(t,D)u=0 \tag2\\
&u(\tau)=u'(\tau)=\ldots=u^{(n-2)}(\tau)=0,\quad u^{(n-1)}(\tau)=1. \tag3
\end{align}
Then,
$$y(t)=\int_{t_0}^t E(t,\tau)g(\tau)d\tau\tag4$$
is the solution of the problem
\begin{align}
&L(t,D)y=g(t) \tag5\\
&y(t_0)=y'(t_0)=\ldots=y^{(n-1)}(t_0)=0. \tag6
\end{align}

If the leading coefficient in ##(1)## is not ##1## but ##a_n(t)##, then the last condition in ##(3)## reads ##u^{(n-1)}(\tau)=1/a_n(\tau)## and ##(4)## changes to $$y(t)=\int_{t_0}^t E(t,\tau)\frac{g(\tau)}{a_n(\tau)}d\tau.\tag7$$ Put ##\overline{E}(t,\tau)=\frac{E(t,\tau)}{a_n(\tau)}## and define $$F(t,\tau)=\begin{cases} \overline{E}(t,\tau) &\text{when } t\geq\tau \\ 0 &\text{when } t<\tau.\end{cases}\tag8$$ then ##F(t,\tau)## satisfies the following properties:

  1. ##\frac{d^kF}{dt^k}(t,\tau)## is a continuous function of ##(t,\tau)## when ##k=0,1,\ldots,n-2.##
  2. ##\frac{d^{n-1}F}{dt^{n-1}}(t,\tau)## is continuous when ##t\neq\tau##, and has a step discontinuity of height ##1/a_n(\tau)## across the line ##t=\tau##.
  3. ##L(t,D)F(t,\tau)=0,\quad t\neq \tau##.

The authors note that this is easily verified by noting that ##E(t,\tau)## solves the IVP ##(2)## and ##(3)##, yet I have hard time verifying this to myself.

First of all, I'm confused about them writing ##\frac{d^k}{dt^k}## instead of ##\frac{\partial^k}{\partial t^k}##. Is this because we view the function as a function of ##t## only? If so, then 1. makes very little sense to me. How can the ##k##th derivative (##0\le k\le n-2##) of ##F## with respect to ##t## be continuous?

Second, I do not see how either 2. or 3. follows from the fact ##E(t,\tau)## solves ##(1)## and ##(2)##. I'd be very grateful if someone could share their understanding on the matter.
 
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\tau is regarded as a parameter of the IVP (2,3), so d/dt here means \partial/\partial t.

We know that both \bar{E} and 0 are n - 1 times differentiable with respect to t: 0 trivially, and \bar E because it is the solution of the IVP (2,3), so its first n - 1 derivatives with respect to t exist and are continuous in t. Continuity of \bar E and its t-derivatives in (t,\tau) jointly follows from the fact that if you write \bar E(t,\tau) = A_1(\tau)u_1(t) + \dots + A_n(\tau)u_n(t) for n linearly independent solutions u_k of (2), then the A_k can be shown to be continuous in \tau.

F is defined as either \bar E or zero so F and its first n - 1 derivatives with respect to t can fail to be continuous in (t,\tau) only at the boundary of the regions where those definitions are applied, ie. when t = \tau. By construction <br /> \frac{\partial^k F}{\partial t^k}(\tau,\tau) = \begin{cases} 0 &amp; k = 0, \dots, n-2 \\<br /> 1/a_n(\tau) &amp; k = n - 1. \end{cases} but <br /> \lim_{t \to \tau^{-}} \frac{\partial^k F}{\partial t^k}(t,\tau) = 0.
 

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