Serlo: EN: Field as a vector space

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Let K be a field. We now consider K as a vector space over itself.

Introduction

From school we already know the vector space ℝ3 over the field ℝ. The vectors in ℝ3 have the form (x,y,z)T with x,y,z∈ℝ. We can consider the vectors in a 3-dimensional coordinate system. Since ℝ3 is a vector space, we can add and scale vectors.

We also know the vector space ℝ2. The vectors in ℝ2 have the form (x,y)T with x,y∈ℝ. We can get ℝ2 from ℝ3 by deleting one of the coordinates x,y,z (e.g., the last one). Illustratively, we then go from the 3-dimensional coordinate system to the xy plane. So when omitting a coordinate from ℝ3, the vector space structure is conserved. What happens if we delete another coordinate?

For example, if we omit the second coordinate of (x,y), only x remains and we get an element in ℝ. Illustratively, we thus go from the xy plane to the x axis. Again, when deleting a coordinate, the vector space structure should not be broken.

We can add and scale the elements in ℝ (just like vectors), because for all x,y∈ℝ we have x+y∈ℝ and for all λ∈ℝ and x∈ℝ it holds that λ⋅x∈ℝ.

Now our field ℝ should be an ℝ-vector space. Visually, this vector space is the number line.

We can apply this idea to an arbitrary field K, since also in an arbitrary K we can add elements and multiply them by scalars in K. Therefore, we conjecture that K is a K-vector space.

Definition of the vector space structure

Let (K,+,⋅) be a field. Then we can define an addition and a scalar multiplication.

Mathe für Nicht-Freaks: Vorlage:Definition

The field is a vector space over itself

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