What exactly is a vector in and 5-D and more dimensions?

In summary: For example, a vector can be multiplied by a number, and this makes sense. In summary, A vector in $$ℝ^2$$ is a line going in the direction specified from the terms, and in $$ℝ^3$$ it is also a line in the specified direction. In higher dimensions, such as $$ℝ^n$$, vectors can represent data sets or physical properties in a space with more than three dimensions. This is useful in fields like neuroscience and aeronautics, where objects can move and rotate in multiple directions. While they can be seen as rows of numbers, they have more structure and can be used in operations. To visualize n-dimensional spaces, high-dimensional spheres and cubes can be explored.
  • #1
mahrap
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I'm having a hard time grasping the concept of a vector geometrically. A vector in $$ℝ^2$$ is a line going in the direction specified from the terms. A vector in $$ℝ^3$$ is similary just a line going in the direction specified by the terms. But what exactly is a vector in $$ℝ^n$$ where n is greater than 3? Is there even a way to geometrically represent these vectors? Or should I just view them as rows of numbers and leave it at that?
 
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  • #2
At first, it may seem that going beyond three dimensions is pointless, because many might think that if we want to describe something in our concrete physical world, certainly three dimensions (or possibly four dimensions if we consider time) will be enough. But in reality, it isn't. I often run into high dimensional vectors in neuroscience, and there are many other examples where records of data sets can be represented by high-dimensional vectors in high-dimensional space, for example the position of an airplane in space (it's a well-known example): one would think that it would take three dimensions to do that, one each to specify the x-coordinate, y-coordinate, and the z-coordinate of the airplane. Although it is correct that one needs only three dimensions to specify, for example, the center (or any given point) of the airplane, it is however important to note that the airplane could "rotate". In fact, it can rotate in three different directions, such as the roll, the pitch, and the yaw. Consequently, we would need six dimensions to specify the precise position of the airplane: three to specify the location of the center (or any given point) of the airplane and three other to specify the direction in which the airplane is pointing. Your vector representing the position of the airplane would then be in six dimensions.

In fact, you can view them as "rows of numbers", but they could mean something. They could physically represent something, even if it's hard to visualize. For visual representation of n-dimensional spaces, you could search about high-dimensional spheres and cubes and consider the representation of their vertices.
 
  • #3
mahrap said:
Or should I just view them as rows of numbers and leave it at that?

Rows of numbers with specific operations. A "row of numbers" is an n-tuple. Vectors have more structure than that.
 

1. What is a vector in 5-D and more dimensions?

A vector in 5-D and more dimensions is a mathematical object that represents both magnitude and direction in a multi-dimensional space. It is commonly used in physics and engineering to describe quantities such as velocity, force, and displacement.

2. How is a vector represented in 5-D and more dimensions?

A vector in 5-D and more dimensions is typically represented by an array of numbers, with each number corresponding to a specific dimension. For example, a vector in 5-D may be represented as (x, y, z, w, v), where each letter represents a dimension.

3. What is the difference between a vector and a scalar in 5-D and more dimensions?

A vector has both magnitude and direction, while a scalar only has magnitude. In 5-D and more dimensions, a vector can be represented by multiple numbers, while a scalar is represented by a single number.

4. How are vectors in 5-D and more dimensions used in real-world applications?

Vectors in 5-D and more dimensions are used in a variety of real-world applications, such as computer graphics, navigation systems, and machine learning. They are also essential in fields like physics, engineering, and economics for modeling and analyzing complex systems.

5. Can vectors in 5-D and more dimensions be visualized?

Yes, vectors in 5-D and more dimensions can be visualized using various techniques such as 3D projections, vector fields, and vector plots. However, it can be challenging to visualize vectors in higher dimensions due to their complexity and the limitations of human perception.

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