改错。
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@@ -253,6 +253,6 @@
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\end{proof}
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\begin{remark}
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带Lagrange余项的Taylor公式也常常写作:设$f$在$(a,b)$内$n+1$阶可导,$\forall x_0, x \in (a,b)$,$\exists \xi$在$x_0$与$x$之间满足
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\[f(x) = P_n(x - x_0) + \frac{f^{n+1}(x_0 + \theta \Delta x)}{(n+1)!}\Delta x^{n+1}\eqper\]
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带Lagrange余项的Taylor公式也常常写作:设$f$在$(a,b)$内$n+1$阶可导,$\forall ~ x_0, x \in (a,b)$,$\exists ~ \xi$在$x_0$与$x$之间满足
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\[f(x) = P_n(x - x_0) + \frac{f^{(n+1)}(\xi)}{(n+1)!}\Delta x^{n+1}\eqper\]
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\end{remark}
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@@ -84,7 +84,7 @@
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y > 0\text{时,}y & = e^{C_1}e^{x^2}\\
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y < 0\text{时,}y & = -e^{C_1}e^{x^2}\\
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\intertext{记$C = \pm e^{C_1}$,则有}
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y & = Ce^{x_2} (C \neq 0)
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y & = Ce^{x^2} (C \neq 0)
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\end{align*}
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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
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\[y = Ce^{x^2} (C \in \realnum) \eqper \qedhere\]
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