In physics and mathematics, there is a basic concept called "dimension". It is informally defined as how many coordinates are needed to accurately locate any point in that space. Simply put, it is a key that unlocks the diversity of mathematics and physics, allowing us to further explore the forms and structures of nature.
In classical mechanics, space and time are different categories, which allows us to imagine a four-dimensional space, but in reality they interact.
For a deeper understanding, let's first look at the concepts of one-dimensional and two-dimensional. Suppose we have a number line that represents a one-dimensional space in which each point only needs one coordinate to determine. And when we move to two dimensions, like a circular boundary, we need two coordinates to locate, which are usually representations of longitude and latitude. This expansion of the concept of dimensionality allows us to understand more complex shapes, such as three-dimensional objects such as cubes or spheres.
The dimension of a straight line is 1, and the existence of a surface plane (2D) requires two coordinates. Within the space, three-dimensional structures such as cubes, cylinders or spheres require three coordinates to be defined.
Of course, the concept of dimensions is not limited to our common physical objects. In mathematics, we can also find various spaces related to dimensions, including Euclidean spaces or more general parameter spaces and configuration spaces. Even in these highly abstract spaces, dimensions remain a fundamental descriptive tool, helping us understand more complex structures and relationships.
In mathematics, the dimensions of an object can be thought of simply as the number of degrees of freedom required to move a point on that object. For example, a point has dimension zero; a line has dimension 1 because it can only move in one direction; and a plane has dimension 2. In this respect, dimensionality takes on one of its intrinsic properties, which means that the dimensions of an object are independent of the dimensions of the space in which it is embedded.
Dimension is an intrinsic property; no matter how it is embedded in other spaces, the dimension itself does not change.
Moving towards more abstract areas, we will see the concept of "manifold". In topology, connected topological manifolds are locally homeomorphic to Euclidean n-space. Exploring the dimensions of these manifolds further leads us into higher-dimensional thinking. As a result, mathematicians have also proposed the basic idea of higher-dimensional geometry in their research, exploring the connection between algebra and topology through the aliases "Kruer dimension" or "Hanler dimension".
Turn our perspective to physics. The three-dimensional space and time dimension in classical physics form the four-dimensional space-time we are familiar with. The theory, further developed by physicists such as Einstein, attempts to describe the occurrence of events in four dimensions, treating time as a way to measure physical change. This dispels the previous notion that time is simply a linear progression.
In physics, time is often referred to as the "fourth dimension," meaning that it has properties distinct from those of the spatial dimension.
However, with the development of quantum mechanics and other physical theories, many scholars began to explore the possibility of additional dimensions in an attempt to unify the four fundamental forces. For example, superstring theory predicts that 10-dimensional space is needed to describe all physical phenomena, which is based on the concept of high dimensions. In these theories, extra dimensions may be somehow hidden in the microscopic world, becoming parts that cannot yet be detected by current physical experiments.
With the development of technology, the visualization of complex objects with more than 8 dimensions in computer graphics has become more and more important. This type of software can be used for Illustration, computer-aided design (CAD) and geographic information systems (GIS), etc. . Different data structures are used to represent shapes, which help designers and scientists reconstruct the physical world in a digital environment.
An effective geometric shape storage system usually switches freely between 0-dimensional points, 1-dimensional lines, 2-dimensional polygons, and even 3-dimensional surfaces.
The mathematics behind these techniques deeply affects the way we understand and process space. From physics to mathematics, and then from mathematics back to computer science, the concept of dimensions has inspired us to have a profound understanding of the world and has become the key to unlocking higher levels of cognition.
Faced with such a profound concept of dimensions, readers cannot help but think: Does the infinity of dimensions mean that we still have many unknown areas waiting for us to explore and understand?