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(a) Let \(V\) be the vector space of all \(C^{1}\) functions \(f: \mathbb{R} \rightarrow \mathbb{R}\) with \(f(0)=0\), and let \(W\) be the subspace generated by all products. Show that \(\lim _{x \rightarrow 0} f(x) / x^{2}\) exists for all \(f \in W\) (b) For \(0<\varepsilon<1\), let $$ f_{\varepsilon}(x)= \begin{cases}x^{1+\varepsilon} & x \geq 0 \\ 0 & x \leq 0\end{cases} $$ Show that all \(f_{\varepsilon}\) are in \(V\), and that they represent linearly independent elements of \(V / W\) (c) Conclude that \((V / W)^{*}\) has dimension \(c^{c}=2^{c}\).

Short Answer

Expert verified
Limit \(\lim_{x \to 0} \frac{f(x)}{x^2} \( exists for all \(f \in W\). Each \(f_\varepsilon(x)\) is in \(V\), linearly independent, and \((V/W)^*\) has dimension \(2^c\).

Step by step solution

01

Define Vector Space and Subspace

Define the vector space \(V\) and subspace \(W\). Vector space \(V\) is the set of all continuously differentiable functions \(f: \mathbb{R} \rightarrow \mathbb{R}\) such that \(f(0) = 0\). Subspace \(W\) is generated by products of the form \(g(x)h(x)\), where both \(g(x)\) and \(h(x)\) are in \(V\).
02

Prove the Limit Exists for Subspace W

Consider any function \(f\) in \(W\). By definition, \(f = g(x)h(x)\) where \(g\) and \(h\) are in \(V\). To evaluate \(\lim_{x \to 0} \frac{f(x)}{x^2}\), we note that both \(g(x)\) and \(h(x)\) are differentiable and \(g(0) = h(0) = 0\). Hence, the limit exists and can be calculated using L'Hopital's rule twice.
03

Define and Verify Properties of \(f_\varepsilon(x)\)

Define \(f_\varepsilon(x)\) as \(f_\varepsilon(x) = \begin{cases} x^{1+\varepsilon} & x \geq 0 \ 0 & x \leq 0 \end{cases}\). Verify that \(f_\varepsilon(0) = 0\) and \(f_\varepsilon\) is in \(C^1\) by checking the derivatives on both sides of 0.
04

Demonstrate Linear Independence of \(f_\varepsilon(x)\)

Show that \(f_\varepsilon(x)\) and \(f_\delta(x)\) for distinct \(\varepsilon\) and \(\delta\) are linearly independent. Assume \(a_\varepsilon f_\varepsilon + a_\delta f_\delta = 0\). Evaluate at sufficiently many points to demonstrate that all coefficients must be zero.
05

Dimension of \((V/W)^*\)

Argue that \(f_\varepsilon\) forms a basis for \(V/W\) and conclude that \((V/W)^*\), the dual space, has the same cardinality as the continuum. Since \(V/W\) is infinite-dimensional, \(\dim((V/W)^*) = c^{c} = 2^{c}\).

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Differentiable Functions
Differentiable functions are functions that have a derivative at every point in their domain. If a function is differentiable, it means that it is smooth and has no sharp corners or discontinuities.
The vector space of all continuously differentiable functions from \(\text{鈩潁 \rightarrow \text{鈩潁\) is denoted as \(C^1\). In the provided exercise, we deal with functions that are differentiable everywhere and particularly enforce the condition \(f(0) = 0\). This set forms our vector space \(V\). Differentiable functions are central to this problem because they define how smooth and continuous a function should be.
Subspace
A subspace is a subset of a vector space that itself is a vector space. In this context, \(W\) is defined as a subspace generated by all products of differentiable functions in \(V\).
This means if you take any two functions \(g(x)\) and \(h(x)\) within \(V\), their product \(f(x) = g(x)h(x)\) belongs to \(W\).
For example, if both \(g(x)\) and \(h(x)\) are continuously differentiable functions that meet \(f(0) = 0\), their product will also be in \(W\) and satisfy \(f(0) = 0\). Understanding subspaces helps in breaking down complex functions into more manageable components.
Limits
Limits help us determine the behavior of a function as it approaches a particular point. In this exercise, it is essential to show that \(\lim_{x \to 0} \frac{f(x)}{x^2} \) exists for all functions \(f\) in subspace \(W\).
Since \(f(x)\) in \(W\) can be written as \(f(x) = g(x) h(x)\) where both \(g\) and \(h\) are in \(V\) and both vanish at zero, we can use L'Hopital鈥檚 Rule to show this limit exists.
L'Hopital鈥檚 Rule, which is particularly useful for evaluating limits of indeterminate forms, would be applied twice in this context to get the desired result. The use of limits in this exercise underscores their importance in understanding function behavior at points of interest.
Linear Independence
Linear independence is a fundamental concept in vector spaces that indicates no vector in the set can be written as a linear combination of the others.
For part (b) of the exercise, we define functions \(f_{\varepsilon}(x)\) that are all in \(V\) and show that they represent linearly independent elements of \(V/W\).
We need to check that functions like \(f_{\varepsilon}(x)\) and \(f_{\delta}(x)\) are linearly independent, meaning no scalar multiples can combine them to zero unless all the scalars are zero.
This property is critical when determining the dimension of a vector space or subspace, as a set of linearly independent vectors form a basis, helping measure the size or complexity of the space.

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Most popular questions from this chapter

(a) Let \(\mathscr{F}_{p}\) be the set of all \(C^{\infty}\) functions \(f: M \rightarrow \mathbb{R}\) with \(f(p)=0\), and let \(\ell: \mathscr{F}_{p} \rightarrow \mathbb{R}\) be a linear operator with \(\ell(f g)=0\) for all \(f, g \in \mathscr{F}_{p} .\) Show that \(\ell\) has a unique extension to a derivation. (b) Let \(W\) be the vector subspace of \(\mathscr{F}_{p}\) generated by all products \(f g\) for \(f, g \in\) \(\mathscr{F}_{p}\). Show that the vector space of all derivations at \(p\) is isomorphic to the dual space \(\left(\widetilde{F}_{p} / W\right)^{*}\) (c) Since \(\left(\mathcal{F}_{p} / W\right)^{*}\) lias dimension \(n=\) dimension of \(M\), the same must be true of \(\mathscr{F}_{p} / W .\) If \(x\) is a coordinate system with \(x(p)=0\), show that \(x^{1}+W, \ldots\), \(x^{n}+W\) is a basis for \(\mathscr{F}_{p} / W\) (use Lemma 2). The situation is quite different for \(C^{1}\) functions, as the next problem shows.

(a) If \(M\) is a manifold-with-boundary, the tangent bundle \(T M\) is defined exactly as for \(M\); elements of \(M_{p}\) are \(\tilde{p}\) equivalence classes of pairs \((x, v)\). Although \(x\) takes a neighborhood of \(p \in \partial M\) onto \(\mathbb{H}^{n}\), rather than \(\mathbb{R}^{n}\), the vectors \(v\) still run through \(\mathbb{R}^{n}\), so \(M_{p}\) still has tangent vectors "pointing in all directions". If \(p \in \partial M\) and \(x: U \rightarrow \mathbb{H}^{n}\) is a coordinate system around \(p\), then \(x_{*}^{-1}\left(\mathbb{R}^{n-1} x(p)\right) \subset M_{p}\) is a subspace. Show that this subspace does not depend on the choice of \(x\); in fact, it is \(I_{*}(\partial M)_{p}\), where \(i: \partial M \rightarrow M\) is the inclusion. (b) Let \(a \in \mathbb{R}^{n-1} \times\\{0\\} \subset \mathbb{M}^{n} .\) A tangent vector in \(\mathbb{M}^{n}{ }_{a}\) is said to point "invard" if, under the identification of \(T \mathbb{M}^{n}\) with \(\varepsilon^{n}\left(\mathbb{M}^{n}\right)\), the vector is \((a, v)\) where \(v^{n}>0 .\) A vector \(v \in M_{p}\) which is not in \(i_{*}(\partial M)_{p}\) is said to point "inward" if \(x_{*}(v) \in \mathbb{M}^{n} x(p)\) points inward. Show that this definition does not depend on the coordinate system \(x\). (c) Show that if \(M\) has an orientation \(\mu\), then \(\partial M\) has a unique orientation \(\partial \mu\) such that \(\left[v_{1}, \ldots, v_{n-1}\right]=(\partial \mu)_{p}\) if and only if \(\left[w, i_{*} v_{1}, \ldots, i_{*} v_{n-1}\right]=\mu_{p}\) for every outward pointing \(w \in M_{p}\) (d) If \(\mu\) is the usual orientation of \(\mathbb{H}^{n}\), show that \(\partial \mu\) is \((-1)^{n}\) times the usual orientation of \(\mathbb{R}^{n-1}=\partial \mathbb{H}^{n} .\) (The reason for this choice will become clear in Chapter 8.) (e) Suppose we are in the setup of Problem 2-14. Define \(g: \partial M \times[0,1) \rightarrow\) \(\partial N \times[0,1)\) by \(g(p, t)=(f(p), t) .\) Show that \(T P\) is obtained from \(T M \cup T N\) $$ v \in(\partial M)_{p} \quad \text { with }\left(\beta^{-1}\right)_{*} g_{*} \alpha_{*}(v) \in(\partial N)_{f(p)} $$ (f) If \(M\) and \(N\) have orientations \(\mu\) and \(\nu\) and \(f:(\partial M, \partial \mu) \rightarrow(\partial N, \partial \nu)\) is orientation-reversing, show that \(P\) has an orientation which agrees with \(\mu\) and \(\nu\) on \(M \subset P\) and \(N \subset P\). (g) Suppose \(M\) is \(S^{2}\) with two holes cut out, and \(N\) is \([0,1] \times S^{1}\). Let \(f\) be a diffeomorphism from \(M\) to \(N\) which is orientation preserving on one copy of \(S^{1}\) alnd orientation reversing on the other. What is the resulting manifold \(P ?\)

(a) Suppose \(\xi=\pi: E \rightarrow X\) is a bundle and \(f: Y \rightarrow X\) is a continuous map. Let \(E^{\prime} \subset Y \times E\) be the set of all \((y, e)\) with \(f(y)=\pi(e)\), define \(\pi^{\prime}: E^{\prime} \rightarrow Y\) by \(\pi^{\prime}(y, e)=y\), and define \(\tilde{f}: E^{\prime} \rightarrow E\) by \(\tilde{f}(y, e)=e\). A vector space structure can be defined on $$ \pi^{\prime-1}(y)=\left\\{(y, e): e \in \pi^{-1}(f(y))\right\\} $$ by using the vector space structure on \(\pi^{-1}(f(y))\). Show that \(\pi^{\prime}: E^{\prime} \rightarrow Y\) is a bundle, and \((\tilde{f}, f)\) a bundle map which is an isomorphism on each fibre. This bundle is denoted by \(f^{*}(\xi)\), and is called the bundle induced (from \(\left.\xi\right)\) by \(f\). (b) Suppose we have another bundle \(\xi^{\prime \prime}=\pi^{\prime \prime}: E^{\prime \prime} \rightarrow Y\) and a bundle map \((\tilde{f}, f)\) from \(\xi^{\prime \prime}\) to \(\xi\) which is an isomorphism on each fibre. Show that \(\xi^{\prime \prime} \simeq\) \(\xi^{\prime}=f^{*}(\xi)\). Hint: Map \(e \in E^{\prime \prime}\) to \(\left(\pi^{\prime \prime}(e), \tilde{\tilde{f}}(e)\right) \in E^{\prime}\) (c) If \(g: Z \rightarrow Y\), then \((f \circ g)^{*}(\xi) \simeq g^{*}\left(f^{*}(\xi)\right)\). (d) If \(A \subset X\) and \(i: A \rightarrow X\) is the inclusion map, then \(i^{*}(\xi) \simeq \xi \mid A\). (e) If \(\xi\) is orientable, then \(f^{*}(\xi)\) is also orientable. (f) Give an example where \(\xi\) is non-orientable, but \(f^{*}(\xi)\) is orientable. (g) Let \(\xi=\pi: E \rightarrow B\) be a vector bundle. Since \(\pi: E \rightarrow B\) is a continuous map from a space to the base space \(B\) of \(\xi\), the symbol \(\pi^{*}(\xi)\) makes sense. Show that if \(\xi\) is not orientable, then \(\pi^{*}(\xi)\) is not orientable.

(a) Let \(p_{0} \in S^{n-1}\) be the point \((0, \ldots, 0,1)\). For \(n \geq 2\) define \(f: \mathrm{SO}(n) \rightarrow\) \(S^{n-1}\) by \(f(A)=A\left(p_{0}\right)\). Show that \(f\) is continuous and open. Show that \(f^{-1}\left(p_{0}\right)\) is homeomorphic to \(\mathrm{SO}(n-1)\), and then show that \(f^{-1}(p)\) is homeomorphic to \(\mathrm{SO}(n-1)\) for all \(p \in S^{n-1}\). (b) \(\mathrm{SO}(\mathrm{l})\) is a point, so it is connected. Using part (a), and induction on \(n\), prove that \(\mathrm{SO}(n)\) is connected for all \(n \geq 1\). (c) Show that \(\mathrm{O}(n)\) has exactly two components.

(a) Show that for any bundle \(\pi: E \rightarrow B\), the map \(s: B \rightarrow E\) with \(s(p)\) the 0 vector of \(\pi^{-1}(p)\) is a section. (b) Show that an \(n\)-plane bundle \(\xi\) is trivial if and only if there are \(h\) sections \(s_{1}, \ldots, s_{n}\) which are everywhere linearly independent, i.e., \(s_{1}(p), \ldots, s_{n}(p) \in\) \(\pi^{-1}(p)\) are linearly independent for all \(p \in B\). (c) Show that locally every \(n\)-plane bundle has \(n\) linearly independent sections.

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