/*! This file is auto-generated */ .wp-block-button__link{color:#fff;background-color:#32373c;border-radius:9999px;box-shadow:none;text-decoration:none;padding:calc(.667em + 2px) calc(1.333em + 2px);font-size:1.125em}.wp-block-file__button{background:#32373c;color:#fff;text-decoration:none} Problem 1 a) We shall regard two paths \(t... [FREE SOLUTION] | 91Ó°ÊÓ

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a) We shall regard two paths \(t \mapsto x_{1}(t)\) and \(t \mapsto x_{2}(t)\) as equivalent at the point \(x_{0} \in \mathbb{R}^{m}\) if \(x_{1}(0)=x_{2}(0)=x_{0}\) and \(\mathrm{d}\left(x_{1}(t), x_{2}(t)\right)=o(t)\) as \(t \rightarrow 0 .\) Verify that this relation is an equivalence relation, that is, it is reflexive, symmetric, and transitive. b) Verify that there is a one-to-one correspondence between vectors \(\mathbf{v} \in T \mathbb{R}_{x_{0}}^{m}\) and equivalence classes of smooth paths at the point \(x_{0}\). c) By identifying the tangent space \(T \mathbb{R}_{x 0}^{m}\) with the set of equivalence classes of smooth paths at the point \(x_{0} \in \mathbb{R}^{m}\), introduce the operations of addition and multiplication by a scalar for equivalence classes of paths. d) Determine whether the operations you have introduced depend on the coordinate system used in \(\mathbb{R}^{m}\).

Short Answer

Expert verified
In summary, we verified that the given relation is an equivalence relation and then established a one-to-one correspondence between tangent vectors and equivalence classes of smooth paths. We introduced addition and scalar multiplication operations for equivalence classes of paths using the tangent space structure, and we showed that these operations are coordinate system independent in \(\mathbb{R}^m\). These findings highlight the tight connection between equivalence classes of smooth paths and tangent space structure, providing a useful framework for further analysis and calculations.

Step by step solution

01

a) Showing that the relation is an equivalence relation.

In order to show that this relation is an equivalence relation, we need to prove three properties: reflexivity, symmetry, and transitivity. Let's verify them one by one: 1. Reflexivity: The relation must hold for any \(x_1(t)\). So for \(x_1(t)=x_2(t)\), we have \(x_1(0)=x_2(0)=x_0\) and \(\mathrm{d}\left(x_1(t), x_2(t)\right)=0\), which is indeed \(o(t)\), as \(t \rightarrow 0\). Thus, the relation is reflexive. 2. Symmetry: Suppose the relation holds for \(x_1(t)\) and \(x_2(t)\). Then \(x_1(0)=x_2(0)=x_0\) and \(\mathrm{d}\left(x_1(t), x_2(t)\right)=o(t)\) as \(t \rightarrow 0\). Swapping \(x_1(t)\) and \(x_2(t)\), we also have \(x_2(0)=x_1(0)=x_0\) and \(\mathrm{d}\left(x_2(t), x_1(t)\right)=o(t)\) as \(t \rightarrow 0\). So the relation is symmetric. 3. Transitivity: Suppose that the relation holds for \(x_1(t)\) and \(x_2(t)\) and for \(x_2(t)\) and \(x_3(t)\). We have: a) \(x_1(0)=x_2(0)=x_0\) and \(\mathrm{d}\left(x_1(t), x_2(t)\right)=o(t)\) as \(t\rightarrow 0\), b) \(x_2(0)=x_3(0)=x_0\) and \(\mathrm{d}\left(x_2(t), x_3(t)\right)=o(t)\) as \(t\rightarrow 0\). We need to show that the relation holds for \(x_1(t)\) and \(x_3(t)\). We have \(x_1(0)=x_3(0)=x_0\). Furthermore, \(\mathrm{d}\left(x_1(t), x_3(t)\right) \le \mathrm{d}\left(x_1(t), x_2(t)\right) + \mathrm{d}\left(x_2(t), x_3(t)\right)\), which is \(o(t)+o(t) = o(t)\) as \(t \rightarrow 0\). Therefore, the relation is transitive. Since the relation satisfies reflexivity, symmetry, and transitivity properties, it is indeed an equivalence relation.
02

b) Establishing one-to-one correspondence between tangent vectors and equivalence classes of smooth paths.

To establish a one-to-one correspondence between vectors \(\mathbf{v} \in T\mathbb{R}^{m}_{x_0}\) and equivalence classes of smooth paths at the point \(x_0\), we define a map \(\Phi: T\mathbb{R}^{m}_{x_0} \rightarrow\) (set of equivalence classes of smooth paths) as follows: Given a tangent vector \(\mathbf{v} \in T\mathbb{R}^{m}_{x_0}\), let \(x_1(t) = x_0 + t\mathbf{v}\). Then, define \(\Phi(\mathbf{v}) = [x_1(t)]\), the equivalence class of \(x_1(t)\). To show that this map is one-to-one (injective), we need to prove that if \(\Phi(\mathbf{v}_1) = \Phi(\mathbf{v}_2)\), then \(\mathbf{v}_1 = \mathbf{v}_2\). If \(\Phi(\mathbf{v}_1) = \Phi(\mathbf{v}_2)\), it means that \(x_1(t)\) and \(x_2(t)\) belong to the same equivalence class, so \(\mathrm{d}\left(x_1(t), x_2(t)\right) = o(t)\) as \(t \rightarrow 0\). Since \(x_1(t) = x_0 + t\mathbf{v}_1\) and \(x_2(t) = x_0 + t\mathbf{v}_2\), we can rewrite this condition as \(\mathrm{d}\left(t\mathbf{v}_1, t\mathbf{v}_2\right) = o(t)\) which implies \(\mathbf{v}_1 = \mathbf{v}_2\). Hence, the map is injective. To show that the map is onto (surjective), we need to prove that given any equivalence class of smooth paths, there exists a vector \(\mathbf{v}\) such that \(\Phi(\mathbf{v})\) belongs to that equivalence class. Let \([x_3(t)]\) be an arbitrary equivalence class of smooth paths. By the definition of equivalence classes, \(x_3(0) = x_0\) and \(\mathrm{d}\left(x_3(t), x_0\right) = o(t)\). We define \(\mathbf{v} := \dfrac{\mathrm{d}x_3}{\mathrm{d}t}(0)\). Then, \(x_1(t) = x_0 + t\mathbf{v}\) has the same tangent vector at \(t = 0\), and thus \(x_1(t)\) and \(x_3(t)\) belong to the same equivalence class. Consequently, the map is surjective. Since the map \(\Phi\) is both injective and surjective, there exists a one-to-one correspondence between vectors \(\mathbf{v} \in T\mathbb{R}^{m}_{x_0}\) and equivalence classes of smooth paths at the point \(x_0\).
03

c) Introducing addition and scalar multiplication operations for equivalence classes of paths.

We can introduce addition and scalar multiplication operations for equivalence classes of paths using the tangent space structure that we established in part (b) with the map \(\Phi\). Here's how: Addition: Given equivalence classes \([x_1(t)]\) and \([x_2(t)]\), we can find corresponding tangent vectors \(\mathbf{v}_1\) and \(\mathbf{v}_2\) by the inverse of the map \(\Phi\). Then, we can define the sum of these equivalence classes by using the tangent space addition: \(\mathbf{v}_3 = \mathbf{v}_1 + \mathbf{v}_2\). Now, find the corresponding path of this sum of vectors by applying \(\Phi(\mathbf{v}_3) = [x_3(t)]\), where \(x_3(t) = x_0 + t\mathbf{v}_3\). Finally, define the addition of equivalence classes as \([x_1(t)] + [x_2(t)] := [x_3(t)]\). Scalar multiplication: For a scalar \(\lambda \in \mathbb{R}\) and an equivalence class \([x_1(t)]\), we can find the corresponding tangent vector \(\mathbf{v}_1\) by the inverse of the map \(\Phi\). Define the scalar multiplication of the equivalence class by using the scalar multiplication of the tangent space: \(\mathbf{v}_2 = \lambda \mathbf{v}_1\). Now, find the corresponding path of this scalar multiple vector by applying \(\Phi(\mathbf{v}_2) = [x_2(t)]\), where \(x_2(t) = x_0 + t\mathbf{v}_2\). Finally, define the scalar multiplication of equivalence classes as \(\lambda[x_1(t)] := [x_2(t)]\). These definitions allow us to use the tangent space structure when dealing with equivalence classes of smooth paths at the point \(x_0\).
04

d) Determining the coordinate system independence of the introduced operations.

The addition and scalar multiplication operations we introduced above are defined based on the tangent space structure, which is a linear space. Linear spaces are coordinate system independent, and therefore, the operations we have defined on equivalence classes of paths will also be coordinate system independent. In other words, the results obtained by using these operations will not depend on the choice of the coordinate system in \(\mathbb{R}^m\).

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Key Concepts

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

Equivalence Relation Properties
An equivalence relation on a set is a mathematical way of saying that certain elements in the set are considered 'related' or 'equivalent' in some sense. It's like creating groups within the set where members of each group are related to each other according to a specific rule. To ensure this rule makes sense, it needs to satisfy three must-have characteristics: reflexivity, symmetry, and transitivity.
  • Reflexivity implies that every element is related to itself. Imagine looking in the mirror – your reflection is always you!
  • Symmetry means if one element is related to another, then the second is related to the first one as well. It's like a mutual friendship; if A is friends with B, B is friends with A.
  • Transitivity dictates that if one element is related to a second, and the second is related to a third, then the first is related to the third, just like a chain of friends.
In our context of paths, we consider two paths equivalent at a point if they start at the same point and their difference is insignificant as we zoom in (mathematically, as we approach zero). Verifying the reflexivity, symmetry, and transitivity for this scenario shows that the relationship we've defined is indeed an equivalence relation, which is a cornerstone in mathematics for partitioning sets into well-behaved subsets.
Tangent Space
Imagine you're lightly sketching a line along the surface of an orange. That line is similar to what mathematicians call a tangent at a point on a curve or surface. In more advanced mathematics, like in the context of differential geometry, the concept of tangent space is a generalization of this idea. At any given point on a smooth surface, you can think of the tangent space as a flat, two-dimensional plane that just touches the surface at that point and doesn't cut through it. It includes all possible directions in which you can start tracing a line from that point.

The magic of tangent spaces lies in their ability to simplify problems in curved spaces by allowing us to work within a flat, linear context. When paths are considered 'smooth' at a point, their tangent vectors (the direction and speed of a tiny particle moving along the path) live in this tangent space. In high-dimensional spaces like \( \mathbb{R}^m \), where our paths are walking, each point has its private 'room'—a tangent space—for all possible velocities of paths touching that point.
Smooth Paths at a Point
When we chat about 'smooth paths' in mathematics, we're not just talking about paths that are nice to walk on; we're talking about curves that are nice and without sharp kinks, meaning they're differentiable as many times as we want. Taking this idea to our high-dimensional context, these paths are functions that gently curve within our space, not only passing through our point of interest, \( x_0 \), but also possessing a well-defined tangent vector there.

For a path to be considered smooth at a point, think of it as being able to slide a minuscule flat plank, or the 'tangent vector,' along the path without any bumps or jumps at that point. By grouping these smooth paths according to their behavior and 'direction' at \( x_0 \), we create equivalence classes. It's like grouping roads by where they lead you if you take a small step from the same spot; even though the roads might be heading out all over the place, we’re only interested in those starting 'directions.'
Vector Operations on Equivalence Classes
In the world of vectors, we're used to adding them together and stretching them with scalars, like playing with arrows on paper. Now, when we think about groups of smooth paths (which are now clubbed into equivalence classes), we want to do similar operations on these groups as we do with vectors. The question is, how?

To define these operations, first, we match each path's initial direction (its tangent vector at \( x_0 \)) to a single vector in the tangent space. This gives us a 'representative' for the whole group, just like a class president representing the students. Then, we simply add or scale these 'representatives,' combine them like we normally would with vectors (following vector addition and scalar multiplication rules), and locate paths corresponding to these new mixed vectors, forming new equivalence classes.

The beauty is that these operations do not depend on where we are or how we're looking at our space (the coordinate system). They solely rely on the innate structure of our tangent space, ensuring the same 'rules of combination' apply, an important consistency for the mathematical study of shapes and dynamics.

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Most popular questions from this chapter

a) Show that the functions \(\pi^{i}(x)=x^{i}(i=1, \ldots, m)\), regarded as functions of the point \(x=\left(x^{1}, \ldots, x^{m}\right) \in \mathbb{R}^{m}\), form an independent system of functions in a neighborhood of any point of \(\mathbb{R}^{m}\). b) Show that, for any function \(f \in C\left(\mathbb{R}^{m} ; \mathbb{R}\right)\) the system \(\pi^{1}, \ldots, \pi^{m}, f\) is functionally dependent. c) If the system of smooth functions \(f^{1}, \ldots, f^{k}, k

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Verify that the function $$ f(x, y)=\left(y-x^{2}\right)\left(y-3 x^{2}\right) $$ does not have an extremum at the origin, even though its restriction to each line passing through the origin has a strict local minimum at that point.

Consider the motion of an ideal incompressible liquid in a space free of external forces (in particular, free of gravitational forces). Let \(\mathbf{v}=\mathbf{v}(x, y, z, t), \mathbf{a}=\mathbf{a}(x, y, z, t), \rho=\rho(x, y, z, t)\), and \(p=p(x, y, z, t)\) be respectively the velocity, acceleration, density, and pressure of the fluid at the point ( \(x, y, z)\) of the medium at time \(t\). a) Distinguish a volume of the liquid in the form of a small parallelepiped, one of whose edges is parallel to the vector \(\operatorname{grad} p(x, y, z, t)\) (where grad \(p\) is taken with respect to the spatial coordinates). Estimate the force acting on this volume due to the pressure drop, and give an approximate formula for the acceleration of the volume, assuming the fluid is incompressible. b) Determine whether the result you obtained in a) is consistent with Euler's equation $$ \rho \mathbf{a}=-\operatorname{grad} p $$ c) A curve whose tangent at each point has the direction of the velocity vector at that point is called a streamline. The motion is called stationary if the functions \(\mathbf{v}, \mathbf{a}, \rho\), and \(p\) are independent of \(t\). Using \(\mathrm{b}\) ), show that along a streamline in the stationary flow of an incompressible liquid the quantity \(\frac{1}{2}\|\mathbf{v}\|^{2}+p / \rho\) is constant \(\left(\right.\) Bernoulli's law \(^{5}\) ). d) How do the formulas in a) and b) change if the motion takes place in the gravitational field near the surface of the earth? Show that in this case $$ \rho \mathbf{a}=-\operatorname{grad}(g z+p) $$ so that now the quantity \(\frac{1}{2}\|\mathbf{v}\|^{2}+g z+p / \rho\) is constant along each streamline of the stationary motion of an incompressible liquid, where \(g\) is the gravitational acceleration and \(z\) is the height of the streamline measured from some zero level. e) Explain, on the basis of the preceding results, why a load-bearing wing has a characteristic convex-upward profile. f) An incompressible ideal liquid of density \(\rho\) was used to fill a cylindrical glass with a circular base of radius \(R\) to a depth \(h\). The glass was then revolved about its axis with angular velocity \(\omega\). Using the incompressibility of the liquid, find the equation \(z=f(x, y)\) of its surface in stationary mode (see also Problem 3 of Sect. 5.1). g) From the equation \(z=f(x, y)\) found in part f) for the surface, write a formula \(p=p(x, y, z)\) for the pressure at each point \((x, y, z)\) of the volume filled by the rotating liquid. Check to see whether the equation \(\rho \mathbf{a}=-\operatorname{grad}(g z+p)\) of part d) holds for the formula that you found. h) Can you now explain why tea leaves sink (although not very rapidly!) and why they accumulate at the center of the bottom of the cup, rather than its side, when the tea is stirred? An ideal liquid is one in which the pressure is the same in all directions at each point.

a) Verify that the tangent to a curve \(\Gamma: I \rightarrow \mathbb{R}^{m}\) is defined invariantly relative to the choice of coordinate system in \(\mathbb{R}^{m}\). b) Verify that the tangent plane to the graph \(S\) of a function \(y=f\left(x^{1}, \ldots, x^{m}\right)\) is defined invariantly relative to the choice of coordinate system in \(\mathbb{R}^{m}\). c) Suppose the set \(S \subset \mathbb{R}^{m} \times \mathbb{R}^{1}\) is the graph of a function \(y=f\left(x^{1}, \ldots, x^{m}\right)\) in coordinates \(\left(x^{1}, \ldots, x^{m}, y\right)\) in \(\mathbb{R}^{m} \times \mathbb{R}^{1}\) and the graph of a function \(\tilde{y}=\) \(\tilde{f}\left(\tilde{x}^{1}, \ldots, \tilde{x}^{m}\right)\) in coordinates \(\left(\tilde{x}^{1}, \ldots, \tilde{x}^{m}, \tilde{y}\right)\) in \(\mathbb{R}^{m} \times \mathbb{R}^{1}\). Verify that the tangent plane to \(S\) is invariant relative to a linear change of coordinates in \(\mathbb{R}^{m} \times \mathbb{R}^{1}\). d) Verify that the Laplacian \(\Delta f=\sum_{i=1}^{m} \frac{\partial^{2} f}{\partial x^{i^{2}}}(x)\) is defined invariantly relative to orthogonal coordinate transformations in \(\mathbb{R}^{m}\).

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