Vector Triple Product - Physcial Significance

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SUMMARY

The vector triple product, expressed as ##\vec v \times (\vec w \times \vec u)##, yields a vector orthogonal to both ##\vec v## and the cross product ##\vec w \times \vec u##. This product can be interpreted geometrically as a component of a vector that is orthogonal to another vector, particularly useful in physics and engineering applications. The bac-cab rule provides a method to express this product as a linear combination of the vectors involved, facilitating the calculation of orthogonal components. Applications include determining projections and resolving vectors into orthogonal components.

PREREQUISITES
  • Understanding of vector operations, specifically cross products
  • Familiarity with the bac-cab rule in vector mathematics
  • Basic knowledge of geometric interpretations of vectors
  • Concept of orthogonal projections in vector spaces
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  • Study the bac-cab rule in detail for vector manipulation
  • Explore applications of vector triple products in physics, particularly in mechanics
  • Learn about orthogonal projections and their significance in vector analysis
  • Investigate the geometric interpretations of vector operations in higher dimensions
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RanchodDasChanchad
Hii,

As we know, Scaler triple product is volume of parallelopiped constructed by its three sides.

Similary,

What is the physical significance and geometrical interpretation of Vector triple product ?

Also, What are the application where we use such mathematics and why ?

Regards,
Rahul
 
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A good question. Since the cross product ##\vec v \times \vec w## is a vector orthogonal to both ##\vec v## and ##\vec w##, the product ##\vec v \times (\vec w \times \vec u)## is a vector that is orthogonal to both ##\vec v## and ##\vec w \times \vec u##. As such, it lies in the plane spanned by ##\vec w## and ##\vec u## (since ##\vec w## and ##\vec u## are orthogonal to ##\vec w \times \vec u##). Now, this becomes particularly interesting when ##\vec u = \vec v##, since the result must be then be a linear combination of ##\vec v## and ##\vec w## at the same time as it is orthogonal to ##\vec v##, which leaves only one possible direction. Let us see what use we can put this to.

Consider the case when ##\vec v = \vec n## is a normalised vector of length one, i.e., ##\vec n^2 = 1## and take the triple product
$$
\vec n \times (\vec w \times \vec n) = \vec w (\vec n^2) - (\vec n \cdot \vec w) \vec n = \vec w - (\vec n \cdot \vec w) \vec n,
$$
where we have applied the bac-cab rule. Rearranging this leads to the relation
$$
\vec w = \vec n (\vec w \cdot \vec n) + \vec n \times (\vec w \times \vec n).
$$
You may recognise the first term on the right as the projection of ##\vec w## on ##\vec n##. As both terms add up to ##\vec w##, it should therefore be clear that ##\vec n \times (\vec w \times \vec n)## is the component of ##\vec w## orthogonal to ##\vec n##. One common use of the vector triple product is therefore to find the orthogonal component of a vector with respect to another.
 
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Ah yes, we can also add that the particular linear combination of ##\vec b## and ##\vec c## that ##\vec a \times (\vec b \times \vec c)## is given by can be found through the bac-cab-rule
$$
\vec a \times (\vec b \times \vec c) = \vec b (\vec a \cdot \vec c) - \vec c (\vec a \cdot \vec b).
$$
Clearly this is a vector that is in the plane spanned by ##\vec b## and ##\vec c##. Furthermore, the orthogonality to ##\vec a## is apparent (dotting ##\vec a## into the expression gives two terms with the same size and opposite signs).
 

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