改错。

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unlockable
2023-01-01 20:13:56 +08:00
parent bb6d395216
commit baef734191
3 changed files with 4 additions and 4 deletions

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@@ -253,6 +253,6 @@
\end{proof}
\begin{remark}
带Lagrange余项的Taylor公式也常常写作$f$$(a,b)$$n+1$阶可导,$\forall x_0, x \in (a,b)$$\exists \xi$$x_0$$x$之间满足
\[f(x) = P_n(x - x_0) + \frac{f^{n+1}(x_0 + \theta \Delta x)}{(n+1)!}\Delta x^{n+1}\eqper\]
带Lagrange余项的Taylor公式也常常写作$f$$(a,b)$$n+1$阶可导,$\forall ~ x_0, x \in (a,b)$$\exists ~ \xi$$x_0$$x$之间满足
\[f(x) = P_n(x - x_0) + \frac{f^{(n+1)}(\xi)}{(n+1)!}\Delta x^{n+1}\eqper\]
\end{remark}

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@@ -84,7 +84,7 @@
y > 0\text{时,}y & = e^{C_1}e^{x^2}\\
y < 0\text{时,}y & = -e^{C_1}e^{x^2}\\
\intertext{$C = \pm e^{C_1}$,则有}
y & = Ce^{x_2} (C \neq 0)
y & = Ce^{x^2} (C \neq 0)
\end{align*}
同时注意到$y \equiv 0$也是方程的解,在分离变量时被丢掉了。因此$C = 0$时也成立。因此方程的通解为
\[y = Ce^{x^2} (C \in \realnum) \eqper \qedhere\]

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@@ -61,7 +61,7 @@
\date{}
% linespread{1.5}
\includeonly{09常微分方程.tex}
% \includeonly{09常微分方程.tex}
\begin{document}
\maketitle