Vector algebra

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This article gives a brief explanation of vectors and vector algebra.
A scalar value is just a numeric value. In contrast thereto, a vectorial value has a direction. Examples for vectors are all forces and the velocity, which is directed to the driving direction. Vectors are usually denoted with an arrow, for example \vec{\mathbf{a}}. A three-dimensional vector for example is

\vec{\mathbf{a}}=
\left[\begin{array}{cccc}
a_x\\
a_y\\
a_z 
\end{array}\right]

where a_x, a_y and a_z describe the components of the vector in x-, y- and z-direction. For graphical representations arrows are used that show the direction of the vector and whose length equals its magnitude. The magnitude of a vector is defined as

Vectorsopposite.png

|\vec{\mathbf{a}}|=\sqrt{a_x^2+a_y^2+a_z^2}

As the presented notation is comparatively sophisticated |\vec{\mathbf{a}}| is often reduced to a. The vector -\vec{\mathbf{a}} has the same magnitude as \vec{\mathbf{a}} but is directed opposite. Two or more vectors are called equal if they have the same direction and the same magnitude. The zero vector \vec{\mathbf{0}} is a special vector with undefined direction and magnitude zero.

Depending on their properties vectors can be characterized as follows:

  • Free vector: Free vectors can be moved arbitrarily in space. They are not constrained to a fixed point. So similar vectors can be aligned using translation.
  • Constrained vector: Constrained vectors can not be moved because they are constrained to a fixed point in space. A force for example forces act in a certain point and in a certain direction.
  • Position vector: Position vectors usually start in the origin of a given coordinate system and point at a certain position of a point. In this sense they are constrained vectors.

The following subarticles describe the unit vector and the basic arithmetic operations including dot and cross product:

  1. Unit vectors
  2. Simple arithmetic operations
  3. Dot product
  4. Cross product


Example: Movement of a flying object

Consider a flying object at time t. This object not only has a current velocity v(t) but also a direction of motion. Thus the velocity of the object is a vector \vec{\mathbf{v}}(t). The corresponding distance then arises out of the product of the velocity vector and the time:


\vec{\mathbf{s}}(t)=\vec{\mathbf{v}}(t)\cdot t

Literature

  • Manfred Albach, Grundlagen der Elektrotechnik 1: Erfahrungssätze, Bauelemente, Gleichstromschaltungen, 3. Edition (Pearson Studium, 2011)