Equivalent Conditions for Invertible nxn Matrices

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Discussion Overview

The discussion revolves around identifying all possible equivalent conditions for an nxn matrix A to be considered invertible. It includes theoretical aspects and references to known theorems related to matrix properties.

Discussion Character

  • Exploratory
  • Technical explanation
  • Debate/contested
  • Mathematical reasoning

Main Points Raised

  • Some participants suggest that there are infinitely many equivalent conditions due to the nature of logical statements and tautologies.
  • One participant highlights key conditions such as det(A) ≠ 0 and rank(A) = n as significant for determining invertibility.
  • A participant lists multiple conditions from the invertible matrix theorem, including properties like having n pivots, linear independence of columns, and the existence of solutions to Ax = b.
  • There is a clarification regarding the notation "At is invertible," with participants confirming that "t" refers to the transpose of matrix A.

Areas of Agreement / Disagreement

Participants generally agree on several key conditions related to invertibility, but there is no consensus on the completeness of the list or the significance of all proposed conditions. The discussion remains open with multiple viewpoints presented.

Contextual Notes

Some conditions may depend on specific definitions or interpretations of matrix properties, and the completeness of the equivalent conditions is not resolved.

eyehategod
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write all possible equivalent conditions to "A is invertible," where A is an nxn matrix.
 
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Well, there's obviously infinitely many, as one can take take any logical statement and compose with a tautology to get a new statement which is true exactly when the original one was.

That said, the only two ones anybody cares to know are the definition, and the requirement that det(A) have an inverse.
 
Some helpful ones other than the definition(but not all of them!):
1) det(A) =/= 0
2) rank(A) = n (A is an nxn matrix)
 
I'm actually on my way to memorizing the invertible matrix theorem, given I have an exam on it friday.

if A is nxn, then A

a) is invertible
b) ~ I
c) has n pivots
d) Ax=0 has only the trivial solution
e) columns of A are linearly independent
f) x -> Ax is 1:1
g) Ax=b has at least 1 solution per b in Rn
h) columns of A span Rn
i) x -> Ax maps Rn onto Rn
j) CA = I
k) AD = I
j) At is invertible

hope that works
 
What do you mean by "At is invertible"? What is t?
 
HallsofIvy said:
What do you mean by "At is invertible"? What is t?

sorry, the t is for A transform, A^t
 
You mean transpose.
 

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