U=(3, 3 , 3) and column vector.

In summary, if u=(3, 3, 3) is a vector in R3, it can be drawn in a three dimensional space with the coordinates 3, 3, 3 representing the x, y, and z coordinates. For a column vector x in Rm, it can be drawn by projecting it onto a two dimensional surface depending on the desired projection and viewing direction. The name of u=(3, 3, 3) vector is simply a row vector.
  • #1
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If u=(3, 3 , 3) is a vector in R3 then we can draw the vector in a three dimensional space.(3=x coordinate, 3= y coordinate, 3= z coordinate.)

if x = \begin{bmatrix} x_1 \\ x_2 \\ \vdots \\ x_m \end{bmatrix} is a column vector in Rm then how can we draw it?
In addition we call X = \begin{bmatrix} x_1 \\ x_2 \\ \vdots \\ x_m \end{bmatrix} column vector. My question is what is the name of u=(3, 3 , 3) vector?
 
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  • #2
There is no single, general way to draw a vector of an n-dimensional space on paper if n>3. There might be some interesting methods for specific applications, but you always have to ignore some components, or use other tools like color codes or whatever.

Row vector.
 
  • #3
I think u=(3, 3 , 3)T is a column vector, three dimensional. How can I draw it now?
 
  • #4
Yes, it is obviously "three dimensional". Being a "column" vector as opposed to a "row" vector is irrelevant here. You draw such a vector, in two dimensions, by projecting the three dimensional vector onto the two dimensional surface. How you do that depends upon what kind of projection you want to use and, most importantly, from which direction you are looking at the vector.
 
  • #5


The vector u=(3, 3, 3) is a specific instance of a column vector, as it follows the same format of a column vector with three elements. It could also be referred to as a three-dimensional vector, as it has three components in a three-dimensional space. However, the name of a vector is not as important as its representation and understanding of its properties and characteristics. In this case, u=(3, 3, 3) represents a vector in R3 with equal components in each dimension, and it can be drawn as a point in a three-dimensional space.
 

1. What does the column vector (3, 3, 3) represent?

The column vector (3, 3, 3) represents a set of three values that are organized in a column, with each value representing a different dimension or variable.

2. How is a column vector different from a regular vector?

A column vector is a specific type of vector that is organized in a column, whereas a regular vector can be organized in different ways, such as a row or diagonal. Column vectors are commonly used in linear algebra and represent linear transformations.

3. Can a column vector have more than three dimensions?

Yes, a column vector can have any number of dimensions, as long as it is organized in a column. For example, a column vector with four dimensions could be written as (4, 5, 6, 7).

4. How is a column vector used in physics?

In physics, column vectors are commonly used to represent quantities that have both magnitude and direction, such as force, velocity, and acceleration. They are also used in matrices to represent systems of equations and solve complex problems.

5. Can a column vector be multiplied by a scalar?

Yes, a column vector can be multiplied by a scalar, which is a single number or constant. This operation results in each element in the vector being multiplied by the scalar. For example, if we multiply the column vector (1, 2, 3) by 2, we get the vector (2, 4, 6).

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