想起以前意识到一个问题。比如对于参数方程 y=f(x)因为只有 x 一个“维”,所以空间是一维的
(f(t), g(t)) 也是一维的
然后 (f(x, y) ,g(x, y)) 是二维的
这个东西有啥背景吗(
This is helped by notebookLM and feed with GTM218 and GTM202

The connection between the number of parameters (like u, v) and dimension is that the number of independent parameters needed to specify a point on a manifold determines its dimension. This concept is illustrated in the sources through various examples:
  • One-Dimensional Manifolds: The sources describe one-dimensional manifolds as curves that can be represented by a single parameter. For instance:
    • The graph of y = sin(x) is one-dimensional because a single parameter, x, determines a point on the curve.[1]
    • Space curves, often described parametrically by equations like (x, y, z) = (f(t), g(t), h(t)), are also one-dimensional as they rely on a single parameter, t.[1]
  • Two-Dimensional Manifolds: Two-dimensional manifolds, or surfaces, require two independent parameters to define a point. Examples include:
    • A plane can be described using Cartesian coordinates (x, y) or polar coordinates (r, θ).
    • A sphere can be represented using latitude and longitude.
    • A torus can be parametrized using two angles.
    • A surface defined by equations like x(u,v), y(u,v), z(u,v) explicitly uses two parameters, u and v, to specify a point.
  • Higher-Dimensional Manifolds: The concept extends to higher dimensions. The unit 3-sphere in ℝ4, defined by the equation x12 + x22 + x32 + x42 = 1, is a three-dimensional manifold because three coordinates are sufficient to determine a nearby point within a neighborhood of any given point.
The sources emphasize that the correspondence between points and sets of numbers is usually local. This means that a chosen set of parameters might uniquely identify points only within a limited region of the manifold. This locality arises from the potential for ambiguities when using the chosen parameters:
  • Circle (1-manifold): A point on a circle can be identified by its angle. However, angles are periodic, meaning that angles differing by multiples of 2π represent the same point. Consequently, the relationship between angles and points on a circle is only locally one-to-one.
  • Sphere (2-manifold): Latitude and longitude can define a point on a sphere. However, ambiguities arise at the poles (where longitude is undefined) and along the prime meridian (where longitude jumps by 360 degrees). Therefore, the correspondence between latitude/longitude and points on a sphere is also local.
In summary, the number of independent parameters (like u, v) directly corresponds to the dimension of the manifold being described. A manifold of dimension n requires n independent parameters to specify a point within a local neighborhood. However, it's essential to recognize that this correspondence might not be globally one-to-one due to potential ambiguities in the parameterization, making it a local property.
[1]
In each of these examples, a point can be unambiguously specified by a single real number. For example, a point on the real line is a real number. We might identify a point on the circle by its angle, a point on a graph by its x-coordinate, and a point on a parametrized curve by its parameter t . Note that although a parameter value determines a point, different parameter values may correspond to the same point, as in the case of angles on the circle. But in every case, as long as we stay close to some initial point, there is a one-to-one correspondence between nearby real numbers and nearby points on the line or curve.
[2]
Manifolds of dimension 2 are surfaces. The most common examples are planes and spheres. (When mathematicians speak of a sphere, we invariably mean a spheri-cal surface, not a solid ball. The familiar unit sphere in R3 is 2-dimensional, whereas the solid ball is 3-dimensional.) Other familiar surfaces include cylinders, ellipsoids, paraboloids, hyperboloids, and the torus, which can be visualized as a doughnut-shaped surface in R3 obtained by revolving a circle around the z-axis (Fig. 1.3). In these cases two coordinates are needed to determine a point. For example, on a plane we typically use Cartesian or polar coordinates; on a sphere we might use latitude and longitude; and on a torus we might use two angles. As in the 1-dimensional case, the correspondence between points and pairs of numbers is in general only local.
but how to extend this relation to N
To extend the relation between the number of parameters and dimension to N dimensions, we can consider the concept of an n-manifold. While we can easily visualize one-dimensional manifolds (curves) and two-dimensional manifolds (surfaces), higher-dimensional manifolds are harder to picture. However, the same principle applies:
An n-manifold is a space that locally looks like ℝn. This means that around any point on an n-manifold, we can find a neighborhood that can be described using n independent coordinates. These coordinates can be thought of as parameters, just like u and v in your example of x(u,v), y(u,v), z(u,v).
Here's how the sources provide evidence for this:
  • Source Example 3.52: Discusses collapsing a subset A of a topological space X to a point, denoting the resulting quotient space as X/A. Although it doesn't explicitly mention N-dimensional spaces, it shows how spaces can be transformed and how their properties change under specific operations. This concept is relevant to understanding how dimensions might be reduced or increased through various mathematical operations.
  • Source: Explains that the n-dimensional real projective space, denoted as Pn, is a topological n-manifold. It demonstrates that Pn can be covered by open sets, each homeomorphic to ℝn, implying that locally, Pn behaves like ℝn.
  • Source: Shows that the n-sphere, Sn, can be given a smooth structure using stereographic coordinates. This example provides a concrete visualization of an n-dimensional manifold where points are defined using n parameters (coordinates).
Therefore, to extend the relationship to N dimensions:
  • An N-dimensional manifold requires N independent parameters to specify a point within a local neighborhood.
  • This relationship might not be globally one-to-one due to potential ambiguities in the parameterization.
Remember, the sources don't explicitly discuss an N-dimensional extension. This response aims to clarify the concept based on the information available in the provided sources.

origin
守望 01:43:
想起以前意识到一个问题。比如对于参数方程 y=f(x)因为只有 x 一个“维”,所以空间是一维的
(f(t), g(t)) 也是一维的
然后 (f(x, y) ,g(x, y)) 是二维的
这个东西有啥背景吗( 乐正垂星 01:49:10
你的问题是什么( 归去来兮 01:50:38
R^2嵌入R^2当然是二维的 小pal的秋天 01:51:43
gtm218了解一下( 归去来兮 01:54:16
lee是好书 守望 01:58:45
就觉得有关联。然后被某人回答:你读数学系就知道了。我思考了几秒钟想想算了,我知道自己水平( 乐正垂星 01:59:54
或者这么问,你所说的“维”是什么 守望 02:01:40
比如直线/曲线是一维的。曲面/平面是二维的
这是 gtm202 第一章就提到的
当时的我的认知( 乐正垂星 02:01:55
那你见过平面填充曲线吗 守望 02:02:05
分形维度 乐正垂星 02:03:00
你还认识哪些“维度”? 守望 02:03:13
没了( 乐正垂星 02:03:14
能用到平面填充曲线上的,不止“分形维度”这一种
起码欧氏空间的R^n算一种吧 守望 02:04:00
知道分形维度只是因为有阵子沉迷各种分形( 归去来兮 02:05:01
光滑流形的维度还是比较简单的 小pal的秋天 02:05:07
流形的维度和Krull维度应该总有一款适合你( 守望 02:06:23
emm,那我先去了解下那几本书了(多谢群友们 归去来兮 02:07:40
比较好的曲面/曲线局部都和R^n差不多,所以有维度 Theta-πexi Φ 02:09:54
非整数维空间有没有定义的() 小pal的秋天 02:10:12
那只能上Hausdoff维度了(
单纯想了解维数的话,可以学学拓扑维数论。拓扑维数有三种自然定义:覆盖维数、小/大归纳维数。参考书:Topological Dimension and Dynamical System第一部分讲覆盖维数;Hurewicz的Dimension Theory通俗易懂,三种维数都讲了。拓扑维数论是个小众领域,目前来看已经发展完善,走到尽头了。可以当闲暇读物看看。

初中 + 高中时玩过 geogebra 及相关软件,有个常用方法。 实现拖一根线段上的点控制另一个点的运动(比如让另一个点在圆上转动)。 会用到点值(简单找了个例子 https://www.sohu.com/a/28014405_196913 忽略掉线段端点使得变成开集, 原来这就是微分同胚映射 ref https://www.bananaspace.org/wiki/讲义:微分拓扑/第一章:_流形与光滑映射_(正在翻译中)
写得比 wiki 好多了。
 

Explanation of a Diffeomorphism

The user's query, "解释一下 微分同胚映射," translates to "Explain diffeomorphisms" in English. Here's an explanation based on the provided sources:
While the sources don't explicitly define "diffeomorphisms," they provide the necessary background to understand this concept. A diffeomorphism is a fundamental concept in differential geometry. It essentially describes a smooth, invertible map between two smooth manifolds, with a smooth inverse.
Here's a breakdown of the key components, drawing on information from the sources:
1. Smooth Manifolds:
  • Definition: The sources discuss smooth manifolds extensively. Source defines a topological manifold as "a second countable Hausdorff space in which every point has a neighborhood homeomorphic to an open subset of the closed n-dimensional upper half space."
  • Smooth Structures: Source introduces the concept of a smooth structure on a manifold, which allows for the definition of smooth functions and maps on the manifold.
2. Smooth Maps:
  • Coordinate Representations: Source explains that a map between smooth manifolds is considered smooth if its coordinate representation with respect to any smooth charts is smooth. In essence, when expressed in local coordinates, the map should be differentiable infinitely many times.
3. Diffeomorphism:
  • Formal Definition: A diffeomorphism between two smooth manifolds M and N is a bijective map F: M → N such that:
    • F is smooth.
    • F has an inverse map F-1: N → M.
    • F-1 is also smooth.
4. Significance of Diffeomorphisms:
  • Equivalence of Smooth Structures: Diffeomorphisms establish a notion of equivalence between smooth manifolds. If there exists a diffeomorphism between two manifolds, they are considered "diffeomorphic." This means they have the same smooth structure and are essentially indistinguishable from the perspective of differential geometry.
  • Preservation of Structure: Diffeomorphisms preserve essential geometric properties, such as:
    • Dimension: The dimensions of diffeomorphic manifolds must be equal.
    • Smooth Functions and Maps: Diffeomorphisms preserve the smoothness of functions and maps. The composition of a smooth map with a diffeomorphism is still smooth.
    • Tangent Spaces: Diffeomorphisms induce isomorphisms between tangent spaces, preserving the local linear structure of manifolds.
5. Relation to Homeomorphisms:
  • Homeomorphisms vs. Diffeomorphisms: It's important to distinguish diffeomorphisms from homeomorphisms. A homeomorphism is a continuous bijection with a continuous inverse, but it doesn't necessarily preserve the smooth structure.
  • Stronger Condition: A diffeomorphism is a stronger condition than a homeomorphism. Every diffeomorphism is a homeomorphism, but not every homeomorphism is a diffeomorphism.
In essence, a diffeomorphism represents the highest level of "sameness" between two smooth manifolds, ensuring that they share the same differentiable structure and geometric properties.
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Steven Lynn
Steven Lynn
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