Why the inner product of two orthogonal vectors is zero

In summary, the inner product of two orthogonal vectors is always zero because they have no extent in each other's directions. This can be generalized to any Euclidean space as each vector defines a direction and the other may have some lean in that direction. Algebraically, the scalar product of two orthogonal vectors is equal to the product of their corresponding components, which is always zero for orthogonal vectors.
  • #1
flyerpower
46
0
Why is the inner product of two orthogonal vectors always zero?

For example, in the real vector space R^n, the inner product is defined as ||a|| * ||b|| * cos(theta), and if they are orthogonal, cos(theta) is zero.
I can understand that, but how does this extend to any euclidean space?
 
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  • #2
The inner product is just the amount that one vector extends in the direction of the other - it's how far one arrow "leans over" the other. If they are orthogonal, then they don't lean over each other at all. That's what "orthogonal means - they have zero extent in each other's directions.

This generalizes to many dimensions because each vector defines a direction in that space and the other one may have some lean in that direction.

Algebraically, if u and v are vectors, then their scalar product is defined as [itex]u^t \cdot v[/itex] - in terms of components in an n-D basis that would be:

[tex] \left ( u_1,u_2, \ldots ,u_n \right ) \left (
\begin{array}{c}
v_1\\ v_2 \\ \vdots \\ v_n
\end{array}\right )[/tex]

Try it for any two orthogonal vectors ... it's obvious for any two basis vectors...

[tex] \left ( 1,0, \ldots , 0 \right ) \left (
\begin{array}{c}
0\\ 0 \\ \vdots \\ 1
\end{array}\right )[/tex]

see?
 
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  • #3
Thank you, that's the kind of answer i was looking for :)
 
  • #4
No worries - I edited to add another kind of answer while you were replying.
 
  • #5


The reason why the inner product of two orthogonal vectors is always zero is due to the definition of orthogonality itself. Orthogonality means that two vectors are perpendicular to each other, meaning that the angle between them is 90 degrees. This is true in any euclidean space, not just in R^n.

In the real vector space R^n, the inner product is defined as the product of the magnitudes of the two vectors and the cosine of the angle between them. When the angle between two vectors is 90 degrees, the cosine of that angle is zero, making the entire inner product zero.

This concept can also be extended to any euclidean space because the definition of orthogonality remains the same. In a higher dimensional space, the angle between two vectors can still be 90 degrees, making the cosine of that angle zero and resulting in a zero inner product.

In summary, the inner product of two orthogonal vectors is always zero because of the definition of orthogonality and the fact that the cosine of a 90 degree angle is always zero. This concept holds true in any euclidean space, not just in R^n.
 

1. Why is the inner product of two orthogonal vectors equal to zero?

The inner product of two vectors is defined as the sum of the products of their corresponding components. In the case of orthogonal vectors, their corresponding components are perpendicular to each other, resulting in a zero product when multiplied. Therefore, the inner product of two orthogonal vectors is zero.

2. How do you prove that the inner product of two orthogonal vectors is zero?

The inner product of two vectors can be proven to be zero by using the properties of orthogonal vectors. By definition, orthogonal vectors have a dot product of zero, meaning their inner product is equal to zero. This can also be proven geometrically by showing that the angle between the two vectors is 90 degrees, resulting in a zero product when multiplied.

3. Can the inner product of two orthogonal vectors ever be non-zero?

No, the inner product of two orthogonal vectors will always be equal to zero. This is because the definition of orthogonal vectors includes the condition that their dot product is zero. If the dot product is not zero, then the vectors are not orthogonal.

4. What is the significance of the inner product of two orthogonal vectors being zero?

The inner product of two orthogonal vectors being equal to zero signifies that the two vectors are perpendicular to each other. This property is important in many mathematical and physical applications, such as finding the angle between two vectors or solving systems of linear equations.

5. Can the inner product of two orthogonal vectors be negative?

No, the inner product of two orthogonal vectors cannot be negative. Since the inner product is defined as the sum of the products of corresponding components, and orthogonal vectors have a dot product of zero, the resulting inner product will always be positive or zero.

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