[Dot Product] Vector Proection

In summary, the conversation discusses the concept of vector projection and how to show that two vectors are orthogonal by proving their dot product is zero. Specific calculation rules for dot products are mentioned and the formula for w is substituted with the projection expression to simplify the expression for \vec a \cdot \vec w = 0.
  • #1
Highway
349
1
[Dot Product] Vector Projection

Homework Statement



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Homework Equations



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The Attempt at a Solution



I am not sure what to do here -- I know that the projection of u onto a "dotted" with w = 0 by definition, but I don't know how to show this.

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added this second part after plugging in for the definition of the projection we derived in class, then simplified. . .
 
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  • #2
anyone?
 
  • #3
Hi Highway! :smile:

You have an expression for the projection.
Can you substitute that (and only that) in the formula you have for w?

To show that 2 vectors are orthogonal, you need to show that their dot product is zero. That is, that [itex]\vec a \cdot \vec w = 0[/itex].

What you need to know, is that there are calculation rules for dot products.
For instance [itex]\vec a \cdot (\vec b+\vec c) = \vec a \cdot \vec b + \vec a \cdot \vec c[/itex].

Can you simplify the expression for [itex]\vec a \cdot \vec w = 0[/itex]?
 
  • #4
I like Serena said:
Hi Highway! :smile:

You have an expression for the projection.
Can you substitute that (and only that) in the formula you have for w?

To show that 2 vectors are orthogonal, you need to show that their dot product is zero. That is, that [itex]\vec a \cdot \vec w = 0[/itex].

What you need to know, is that there are calculation rules for dot products.
For instance [itex]\vec a \cdot (\vec b+\vec c) = \vec a \cdot \vec b + \vec a \cdot \vec c[/itex].

Can you simplify the expression for [itex]\vec a \cdot \vec w = 0[/itex]?

Thanks! I got it figured out :P

M0r1c.jpg
 
  • #5
Congrats! :wink:
 

FAQ: [Dot Product] Vector Proection

What is dot product?

Dot product, also known as scalar product, is a mathematical operation that takes two vectors and produces a scalar value. It is calculated by multiplying the corresponding components of the two vectors and then summing them up.

What is vector projection?

Vector projection is a process of finding the component of one vector that lies in the direction of another vector. It is calculated by multiplying the magnitude of one vector with the cosine of the angle between the two vectors.

What is the relationship between dot product and vector projection?

Dot product is used in the calculation of vector projection. The dot product of two vectors is equal to the product of their magnitudes and the cosine of the angle between them. This value is then multiplied by one of the vectors to find the vector projection.

How is dot product used in physics?

Dot product is used in physics to calculate work and energy. In mechanics, it is used to find the component of a force in the direction of motion, which is then multiplied by the displacement to calculate work. In electromagnetism, it is used to calculate the electric and magnetic fields produced by charged particles.

What is the geometric interpretation of dot product?

The dot product can be interpreted geometrically as the product of the lengths of two vectors and the cosine of the angle between them. It can also be seen as the projection of one vector onto another, multiplied by the length of the other vector.

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