Math 2.0

statement proposition

Linearly independent set of the right size is a basis

Statement

Let FF be a field and let VV be a vector space over FF of finite dimension nn. Let v1,…,vn∈Vv_1, \dots, v_n \in V be nn vectors. If v1,…,vnv_1, \dots, v_n are linearly independent, then they form a basis of VV. If v1,…,vnv_1, \dots, v_n span VV, then they form a basis of VV.

Remarks

Thus, for exactly dim⁡V\dim V vectors, independence and spanning are equivalent. For example, three vectors of R3\R^3 form a basis if and only if the 3×33 \times 3 matrix with these columns has nonzero determinant. More generally, a family v1,…,vkv_1, \dots, v_k is linearly independent if and only if its span has dimension kk.

Explanations

L1 human

When we have exactly as many vectors as the dimension, we only need to check one of the two basis conditions. Independence gives spanning for free, and spanning gives independence for free. This halves the work of checking a basis.

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  1. Vector space definition
  2. Linear combination definition
  3. Linear subspace definition
  4. Linear independence definition
  5. Linear span definition
  6. Spanning set definition
  7. Basis definition
  8. Finite-dimensional vector space definition
  9. Dimension definition
  10. Linearly independent set of the right size is a basis statement

Sources

  1. Web https://en.wikipedia.org/wiki/Basis_(linear_algebra), Properties