The sum of the product of their corresponding entries.
Eg: [1,3,7] . [2,1,5] = 1x2 +3x1 + 7x5 = 2 + 3 + 35 = 40.
As for what this IS, that is a much more complicated question breaching into philosophical issues...
We use the dot product cos and in vector we use the vector product sin because of the trigonometric triangle.
The gradient of a dot product is a vector that represents the rate of change of the dot product with respect to each variable. It is calculated by taking the derivative of the dot product with respect to each variable and combining them into a vector.
The magnitude of dot product of two vectors is equal to the product of first vector to the component of second vector in the direction of first. for ex.- A.B=ABcos@
The dot-product of two vectors is the product of their magnitudes multiplied by the cosine of the angle between them. The dot-product is a scalar quantity.
The gradient dot product is a key concept in vector calculus. It involves taking the dot product of the gradient operator with a vector field. This operation helps in understanding the rate of change of a scalar field in a given direction. In vector calculus, the gradient dot product is used to calculate directional derivatives and study the behavior of vector fields in three-dimensional space.
A dot product is a scalar product so it is a single number with only one component. A cross product or vector product is a vector which has three components like the original vectors.
arithmetic mean
If by "triple dot product" you mean u·v·w, then no, because that would imply the existence of a dot product between a vector and a scalar.
It depends on the type of product used. A dot or scalar product of two vectors will result in a scalar. A cross or vector product of two vectors will result in a vector.
Yes and no. It's the dot product, but not the cross product.
a vector is a line with direction and distance. there is no answer to your question. the dot is the angular relationship between two vectors.
Unit vectors are perpendicular. Their dot product is zero. That means that no unit vector has any component that is parallel to another unit vector.