Linear algebra normalising a vector?

No. x1', y1', and z1' are the x, y, and z components, respectively, of the normalized vector- the unit vector parallel to V.If \vec V = \langle a,b,c \rangle is a vector and|\vec V| = \sqrt{a^2 + b^2 + c^2}is its length, or norm, then the vector\hat V = \frac 1 {|\vec V|}\ \vec V = \langle \frac a {\sqrt{a^2 + b^2 + c^2}},\frac b {\sqrt{a^2 + b^2 + c^2}},\frac c {\sqrt{a^2 +
  • #1
Chadlee88
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0

Homework Statement



Let the vector V = (x1,y1,z1)

x1' = x1/sqrt(x1^2 + y1^2 + z1^2)
y1' = x1/sqrt(x1^2 + y1^2 + z1^2)
z1' = x1/sqrt(x1^2 + y1^2 + z1^2)

What do you call x1', y1' and z1' in mathematics terms?

is x1' the norm of x1 and y1' the norm of y1?

Thanx



Homework Equations





The Attempt at a Solution

 
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  • #2
No. x1', y1', and z1' are the x, y, and z components, respectively, of the normalized vector- the unit vector parallel to V.
 
  • #3
If [itex]\vec V = \langle a,b,c \rangle[/itex] is a vector and
[tex]|\vec V| = \sqrt{a^2 + b^2 + c^2}[/tex]
is its length, or norm, then the vector
[tex]\hat V = \frac 1 {|\vec V|}\ \vec V = \langle \frac a {\sqrt{a^2 + b^2 + c^2}},\frac b {\sqrt{a^2 + b^2 + c^2}},\frac c {\sqrt{a^2 + b^2 + c^2}}\rangle[/tex]
is called a unit vector. The components of this unit vector are sometimes called the direction cosines of [itex]\vec V[/itex].
 
  • #4
Chadlee88 said:

Homework Statement



Let the vector V = (x1,y1,z1)

x1' = x1/sqrt(x1^2 + y1^2 + z1^2)
y1' = x1/sqrt(x1^2 + y1^2 + z1^2)
z1' = x1/sqrt(x1^2 + y1^2 + z1^2)
I assume you mean
y1' = y1/sqrt(x1^2 + y1^2 + z1^2)
z1' = z1/sqrt(x1^2 + y1^2 + z1^2)
rather than having "x1" as every numerator.

What do you call x1', y1' and z1' in mathematics terms?

is x1' the norm of x1 and y1' the norm of y1?

Thanx



Homework Equations





The Attempt at a Solution

 

1. What is a vector in linear algebra?

A vector in linear algebra is a mathematical object that represents both magnitude (length) and direction. It is typically denoted by an arrow or bold letter, and can be described as a list of numbers or coordinates.

2. What does it mean to normalize a vector?

Normalizing a vector means to scale it to a unit vector, where its magnitude becomes 1. This is achieved by dividing each element of the vector by its magnitude.

3. Why is normalizing a vector important?

Normalizing a vector is important because it allows for easier comparison and calculation of vectors. It also simplifies vector operations and makes it easier to find the direction of a vector.

4. How do you normalize a vector?

To normalize a vector, you divide each element of the vector by its magnitude. The magnitude of a vector is calculated by taking the square root of the sum of the squares of its elements. Once divided, the resulting vector will have a magnitude of 1.

5. Are there any real-world applications of normalizing vectors?

Yes, there are many real-world applications of normalizing vectors. It is commonly used in machine learning and data analysis to compare and classify data. It is also used in graphics and computer vision to calculate lighting and shading effects. Additionally, it is used in physics and engineering to represent forces and velocities in a normalized form.

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