Math 2.0

statement theorem

Jordan–Chevalley decomposition

Statement

Let FF be a perfect field, for example a field of characteristic 00 or an algebraically closed field. Let VV be a finite-dimensional vector space over FF, and let T ⁣:V→VT \colon V \to V be a linear map. Then there are unique linear maps S,N ⁣:V→VS, N \colon V \to V with these properties:

  1. T=S+NT = S + N.
  2. SS is semisimple and NN is nilpotent.
  3. SN=NSSN = NS.

Remarks

Moreover, SS and NN are polynomials in TT without constant term. Over C\C, SS is diagonalisable; in a Jordan basis, SS is the diagonal part of the Jordan form. For J2(λ)J_2(\lambda), the decomposition is S=λI2S = \lambda I_2 and N=(0100)N = \begin{pmatrix} 0 & 1 \\ 0 & 0 \end{pmatrix}.

Explanations

L1 human

Every linear map over C\C splits into a diagonalisable part and a nilpotent part. The two parts commute with each other. This splitting is unique, and it makes functions of matrices easier to compute.

What this node needs for W1
  • an inventory row: the row of the inventory that the node accounts for (0 of 1)

The writing levels say how complete the text of a node is. They do not measure its truth.

What this needs

To read this node, read these 8 nodes in this order. The foundations come first, and the list ends with this node.

Each node uses the nodes above it. The colour of the bar on a box shows the evidence level, and the box also gives it as text. The list below has the same nodes.
  • no evidence level
  1. Vector space definition
  2. Linear map definition
  3. Linear subspace definition
  4. Endomorphism definition
  5. Nilpotent endomorphism definition
  6. Invariant subspace definition
  7. Semisimple endomorphism definition
  8. Jordan–Chevalley decomposition statement

Sources

  1. Web https://en.wikipedia.org/wiki/Jordan–Chevalley_decomposition, Decomposition of a linear operator