Can the Dot Product of Two Unit Vectors Ever Be Less Than 1?

In summary, the dot product is a mathematical operation that takes two vectors and produces a scalar quantity by multiplying their magnitudes and the cosine of the angle between them. It is calculated using the formula A · B = |A| * |B| * cos(θ) and has important properties such as commutativity, distributivity, and associativity. In physics, it is used to calculate work, angles, and reflections, while in linear algebra, it is a fundamental concept used to define inner product and determine orthogonality and projection of vectors, as well as solve linear equations.
  • #1
onako
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I need certain stopping criterion for approximating one unit vector with another. In case there is a perfect match (after a number of iterations), the dot product of the vectors is 1. I need to know (and have a reasoning for) whether in any other case the dot product of the original unit vector and the approximation (which is also a unit vector) is less than 1.
Thanks
 
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  • #2
a.b=|a| |b| cos(a,b)

If |a|=1, |b|=1, then a.b=cos(a,b) <= 1 and =1 if and only if a=b.
 
Last edited:
  • #3
Thanks.
 

1. What is the definition of dot product?

The dot product, also known as the scalar product, is a mathematical operation that takes two vectors and produces a scalar quantity. It is calculated by multiplying the magnitudes of the two vectors and the cosine of the angle between them.

2. How is the dot product calculated?

The dot product of two vectors, A and B, can be calculated using the formula: A · B = |A| * |B| * cos(θ), where |A| and |B| are the magnitudes of the vectors and θ is the angle between them.

3. What are the properties of dot product?

The dot product has several important properties, including commutativity (A · B = B · A), distributivity (A · (B + C) = A · B + A · C), and associativity (A · (B · C) = (A · B) · C). It is also used to calculate the length of a vector (|A| = √(A · A)).

4. How is the dot product used in physics?

In physics, the dot product is used to calculate the work done by a force on an object (W = F · d), the angle between two vectors in a system (cos(θ) = A · B / |A| * |B|), and the angle of reflection in optics (θ = θi - θr).

5. What is the significance of the dot product in linear algebra?

The dot product is a fundamental concept in linear algebra and is used to define the inner product, a generalization of dot product for complex vector spaces. It also plays a crucial role in determining the orthogonality and projection of vectors, as well as in solving systems of linear equations.

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