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dot product (Definition)

Let $ u=(u_1,u_2,\ldots,u_n)$ and $ v=(v_1,v_2,\ldots,v_n)$ two vectors on $ k^n$ where $ k$ is a field (like $ \mathbb{R}$ or $ \mathbb{C}$). Then we define the dot product of the two vectors as:

$\displaystyle u\cdot v=u_1v_1+u_2v_2+\cdots+u_nv_n.$

Notice that $ u\cdot v$ is NOT a vector but a scalar (an element from the field $ k$).

If $ u,v$ are vectors in $ \mathbb{R}^n$ and $ \vartheta$ is the angle between them, then we also have

$\displaystyle u\cdot v=\Vert u\Vert\Vert v\Vert \cos\vartheta.$
Thus, in this case, $ u\perp v$ if and only if $ u\cdot v=0$.

The special case $ u \cdot u$ of scalar product is the scalar square of the vector $ u$. In $ \mathbb{R}^n$ it equals to the square of the length of $ u$:

$\displaystyle u \cdot u = \Vert u \Vert^2$



"dot product" is owned by drini. [ full author list (2) | owner history (1) ]
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See Also: Cauchy-Schwarz inequality, cross product, Euclidean vector, dyad product, invariant scalar product, angle between line and plane, triple scalar product, proving Thales' theorem with vectors

Other names:  scalar product
Also defines:  scalar square
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Cross-references: length, square, angle, scalar, field, vectors
There are 47 references to this entry.

This is version 8 of dot product, born on 2001-10-15, modified 2006-03-10.
Object id is 239, canonical name is DotProduct.
Accessed 27958 times total.

Classification:
AMS MSC15A63 (Linear and multilinear algebra; matrix theory :: Quadratic and bilinear forms, inner products)

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