Typo fixes.
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@@ -35,26 +35,33 @@
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A(h, k) &= Df(x + h)(k) + Df(x)(k) \\
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A(h, k) &= Df(x + h)(k) + Df(x)(k) \\
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&+ [f(x + h + k) - f(x + h) - Df(x + h)(k)] \\
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&+ [f(x + h + k) - f(x + h) - Df(x + h)(k)] \\
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&- [f(x + k) - f(x) - Df(x)(k)] \\
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&- [f(x + k) - f(x) - Df(x)(k)] \\
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&= D^2f(x)(h, k) + r_1(h) \cdot Df(x)(k)
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&= D^2f(x)(h, k) + r_1(h) \cdot Df(x)(k) \\
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&+ [f(x + h + k) - f(x + h) - Df(x + h)(k)] \\
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&+ [f(x + h + k) - f(x + h) - Df(x + h)(k)] \\
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&- [f(x + k) - f(x) - Df(x)(k)] \\
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&- [f(x + k) - f(x) - Df(x)(k)] \\
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\end{align*}
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\end{align*}
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Let $B_h: B_E(0, r) \to F$ be defined by
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Let $B_h: B_E(0, r) \to F$ be defined by
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\[
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\begin{align*}
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B_h(k) = f(x + h + k) - f(x + k) - Df(x + h)(k) + Df(x)(k)
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B_h(k) &= f(x + h + k) - f(x + k) \\
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\]
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&- Df(x + h)(k) + Df(x)(k)
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\end{align*}
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then
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then
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\[
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\begin{align*}
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B_h(k) - B_h(0) = f(x + h + k) - f(x + k) - Df(x + h)(k) + Df(x)(k) -f(x + h) + f(x)
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B_h(k) - B_h(0) &= f(x + h + k) - f(x + k) \\
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\]
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&- Df(x + h)(k) + Df(x)(k) \\
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&-f(x + h) + f(x)
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\end{align*}
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Now, there exists $r_2, r_3 \in \mathcal{R}_{B(E)}$ such that for any $k \in B(0, r)$,
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Now, there exists $r_2, r_3 \in \mathcal{R}_{B(E)}$ such that for any $k \in B(0, r)$,
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\begin{align*}
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\begin{align*}
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DB_h(k) &= Df(x + h + k) - Df(x + k) - Df(x + h) + Df(x) \\
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DB_h(k) &= Df(x + h + k) - Df(x + k) - Df(x + h) + Df(x) \\
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&= D^2f(x)(h + k) + Df(x) - D^2f(x)(h) - Df(x) - D^2f(x)(k) + r_2(k) + r_3(h) \\
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&= D^2f(x)(h + k) + Df(x) - D^2f(x)(h) \\
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&- Df(x) - D^2f(x)(k) + r_2(k) + r_3(h) \\
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&=r_2(k) + r_3(h)
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&=r_2(k) + r_3(h)
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\end{align*}
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\end{align*}
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By the \hyperref[Mean Value Theorem]{theorem:mean-value-theorem},
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By the \hyperref[Mean Value Theorem]{theorem:mean-value-theorem},
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\[
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\[
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\norm{B_h(k) - B_h(0)}_F \le \norm{k}_E \cdot o(\norm{k}_E + \norm{h}_E)
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\norm{B_h(k) - B_h(0)}_F \le \norm{k}_E \cdot o(\norm{k}_E + \norm{h}_E)
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@@ -68,9 +75,12 @@
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so $D^2f(x)(h, k) - D^2f(x)(k, h) = 0$.
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so $D^2f(x)(h, k) - D^2f(x)(k, h) = 0$.
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Now suppose that the proposition holds for $n$. Identify $L^n(E; F) = L^{2}(E; L^{n-2}(E; F))$, then for any $\seqf[n]{x_j} \subset E$,
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Now suppose that the proposition holds for $n$. Identify $L^n(E; F) = L^{2}(E; L^{n-2}(E; F))$, then for any $\seqf[n]{x_j} \subset E$,
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\[
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\begin{align*}
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Df(x)(x_1, \cdots, x_n) = Df(x)(x_1, x_2)(x_3, \cdots, x_n) = Df(x)(x_2, x_1)(x_3, \cdots, x_n) = Df(x)(x_2, x_1, x_3, \cdots, x_n)
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Df(x)(x_1, \cdots, x_n) &= Df(x)(x_1, x_2)(x_3, \cdots, x_n) \\
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\]
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&= Df(x)(x_2, x_1)(x_3, \cdots, x_n) \\
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&= Df(x)(x_2, x_1, x_3, \cdots, x_n)
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\end{align*}
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Since any element $\sigma \in S_n$ that does not fix $x_1$ is the composition of the transposition $(12)$ and an element that fixes $x_1$, $Df(x)$ is symmetric.
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Since any element $\sigma \in S_n$ that does not fix $x_1$ is the composition of the transposition $(12)$ and an element that fixes $x_1$, $Df(x)$ is symmetric.
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\end{proof}
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\end{proof}
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@@ -5,7 +5,7 @@
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\label{definition:vanish-at-infinity}
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\label{definition:vanish-at-infinity}
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Let $X$ be a topological space, $E$ be a TVS over $K \in \RC$, and $f \in C(X; E)$, then $f$ \textbf{vanishes at infinity} if for every $U \in \cn_E^o(0)$, $\bracs{f \not\in U}$ is compact.
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Let $X$ be a topological space, $E$ be a TVS over $K \in \RC$, and $f \in C(X; E)$, then $f$ \textbf{vanishes at infinity} if for every $U \in \cn_E^o(0)$, $\bracs{f \not\in U}$ is compact.
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The set $C_0(X; \complex)$ is the space of all functions that vanish at infinity.
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The set $C_0(X; E)$ is the space of all functions that vanish at infinity.
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\end{definition}
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\end{definition}
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\begin{proposition}
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\begin{proposition}
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@@ -70,14 +70,15 @@ The axioms of uniform spaces strongly resembles working in a metric space. In fa
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\begin{enumerate}
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\begin{enumerate}
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\item[(FB1)] For any $J, J' \subset I$ finite and $r, r' > 0$,
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\item[(FB1)] For any $J, J' \subset I$ finite and $r, r' > 0$,
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\[
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\[
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\bigcap_{j \in J \cup J'}E(d_j, \min(r,r')E(d_j, r \wedge r') \subset \paren{\bigcap_{j \in J}E(d_j, r)} \cap \paren{\bigcap_{j \in J'}E(d_j, r')}
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\bigcap_{j \in J \cup J'}E(d_j, r \wedge r') \subset \paren{\bigcap_{j \in J}E(d_j, r)} \cap \paren{\bigcap_{j \in J'}E(d_j, r')}
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\]
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\]
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\item[(UB1)] For each $i \in I$, $d(x, x) = 0$ for all $x \in X$. Thus for any $i \in I$ and $r > 0$, $E(d_i, r)$ contains the diagonal.
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\item[(UB1)] For each $i \in I$, $d(x, x) = 0$ for all $x \in X$. Thus for any $i \in I$ and $r > 0$, $E(d_i, r)$ contains the diagonal.
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\item[(UB2)] For each $J \subset I$ finite and $r > 0$,
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\item[(UB2)] For each $J \subset I$ finite and $r > 0$,
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\[
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\begin{align*}
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\paren{\bigcap_{j \in J}E(d_j, r/2)} \circ \paren{\bigcap_{j \in J}E(d_j, r)} \subset \bigcap_{j \in J}E(d_j, r/2) \circ E(d_j, r/2) \subset \bigcap_{j \in J}E(d_j, r)
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\paren{\bigcap_{j \in J}E(d_j, r/2)} \circ \paren{\bigcap_{j \in J}E(d_j, r)} &\subset \bigcap_{j \in J}E(d_j, r/2) \circ E(d_j, r/2) \\
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\]
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&\subset \bigcap_{j \in J}E(d_j, r)
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\end{align*}
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by the triangle inequality.
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by the triangle inequality.
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\end{enumerate}
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\end{enumerate}
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