What is the Vector Identity for \vec A and \hat n?

AI Thread Summary
The discussion revolves around proving the vector identity for an arbitrary vector \vec A and a unit vector \hat n. It states that \vec A can be decomposed into two components: the projection along \hat n and the component orthogonal to \hat n. The first term, (\vec A .\hat n)\hat n, represents the projection of \vec A onto the direction of \hat n. The second term, derived using the Vector Triple Product Identity, captures the orthogonal component of \vec A relative to \hat n. This establishes a clear geometric interpretation of vector decomposition in terms of parallel and perpendicular components.
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Let \vec A be an arbitrary vector and let \hat n be a unit vector in some fixed direction. Show that
\vec A = (\vec A .\hat n)\hat n + (\hat n \times \vec A)\times \hat n.
 
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You can use the Vector Triple Product Identity on the last term:

\left( {\vec A \times \vec B} \right) \times \vec C = - \vec A\left( {\vec B \cdot \vec C} \right) + \vec B\left( {\vec A \cdot \vec C} \right)
 
The vector \vec A is expressed as the sum of its projections on W= \mathcal{L} (\hat{n}) and W^\bot.

Prove that the two terms represent these.
 
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