The vector or Cross Product (the result is a vector). (Read those pages for more details.) More Than 2 Dimensions. Vectors also work perfectly well in 3 or more dimensions: The vector (1, 4, 5)

A vector is a list of numbers (can be in a row or column), A matrix is an array of numbers (one or more rows, one or more columns). In fact a vector is also a matrix! Because a matrix can have just one row or one column. So the rules that work for matrices also work for vectors.

Illustrated definition of Vector: A vector has magnitude (how long it is) and direction. Play with one below:

Here we show that the vector a is made up of 2 "x" unit vectors and 1.3 "y" unit vectors. In 3 Dimensions Likewise we can use unit vectors in three (or more!) dimensions:

A vector has magnitude (how long it is) and direction: Two vectors can be multiplied using the Cross Product (also see Dot Product).

The magnitude of a vector is its length (ignoring direction). Play with a vector below:

A vector has magnitude (how long it is) and direction: Here are two vectors: They can be multiplied using the "Dot Product" (also see Cross Product). Calculating. The Dot Product is written using a central dot: a · b This means the Dot Product of a and b. We can calculate the Dot Product of two vectors this way: a · b = |a| × |b| × cos(θ ...

Complex Number as a Vector. We can think of a complex number as a vector. This is a vector. It has magnitude (length) and direction.

Illustrated definition of Component (vector): When we break a vector into two or more parts, each of those new vectors is a component of the original...

Enter values into Magnitude and Angle ... or X and Y. It will do conversions and sum up the vectors. Learn about Vectors and Dot Products.