Created by M. Oki Orlandofrom the Noun Project

Upper-Triangular

Definition (Upper-triangular)

A matrix A=[aij]Fn×nA=[a_{ij}]\in\mathbb{F}^{n\times n} is called upper triangular if aij=0a_{ij}=0 whenever j<ij<i. If we write this matrix out it looks like A:=[a1,1a1,2a1,3a1,n0a2,2a2,3a2,n00a3,3a3,n000an,n]A:= \begin{bmatrix} a_{1,1} & a_{1,2} & a_{1,3} &\cdots & a_{1,n} \\ 0 & a_{2,2} & a_{2,3} & \cdots & a_{2,n} \\ 0 & 0 & a_{3,3} & \cdots & a_{3,n} \\\vdots & \vdots & \vdots & \ddots & \vdots \\ 0 & 0 & 0 & \cdots & a_{n,n}\\ \end{bmatrix}

Proposition (Criterion for Upper Triangular Matrix)

Let VV be a finite dimensional vector space with basis B={v1,,vn}B=\{v_1,\cdots,v_n\}. For a linear map TL(V)T\in\mathscr{L}(V), the following statements are equivalent:

  1. The matrix of TT with respect to BB is Upper-Triangular
  2. T(vk)\mboxspan(v1,,vk)T(v_{k})\in\mbox{span}(v_1,\cdots,v_k) for 1kn1\le k\le n
  3. \mboxspan(v1,,vk)\mbox{span}(v_1,\cdots,v_k) is TT-invariant for 1kn1\le k\le n

Theorem (Existence of Upper Triangular Matrices on Complex Spaces)

If VV is a C\mathbb{C}-Vector Space and we define some Linear Map TL(V)T\in\mathscr{L}(V), then there is a Finite Basis B={v1,,vn}B=\{v_1,\cdots,v_n\} such that the matrix of TT with respect to BB is Upper-Triangular.

Proposition (Criterion for Invertibility using Upper Triangular)

Let VV be a Finite Dimensional F\mathbb{F}-Vector Space and TL(V)T\in\mathscr{L}(V). If there is a Finite Basis of VV such that [aij]=M(T)[a_{ij}]=\mathcal{M}(T) is Upper-Triangular with respect to this basis, then TT is invertible if and only if ai,i0 i=1,,na_{i,i}\not=0 \ \forall i=1,\cdots,n.

Proposition (Eigenvalues are Diagonal Elements of Upper Triangular)

Let VV be a Finite Dimensional Vector Space and let TL(V)T\in\mathscr{L}(V). If there is a Finite Basis such that [ai,j]=M(T)[a_{i,j}]=\mathcal{M}(T) is Upper-Triangular with respect to this basis, then the eigenvalues of TT are exactly the diagonal elements ai,ia_{i,i}.

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