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

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 $$u\cdot v=\Vert u\Vert\Vert v\Vert \cos\vartheta.$$ 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 $u$ $$u \cdot u = \Vert u \Vert^2$$




"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 53 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 32425 times total.

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

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