Proving Singularity of Matrix B with Added Column Ab

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Homework Help Overview

The problem involves proving that a matrix B, formed by adding a column Ab to an existing matrix A, is singular for any choice of the vector b in R^(n-1). The context is linear algebra, specifically focusing on properties of matrices and linear dependence.

Discussion Character

  • Exploratory, Conceptual clarification, Assumption checking

Approaches and Questions Raised

  • Participants discuss the implications of singularity and linear dependence, with one suggesting that the new column Ab is a linear combination of the existing columns of A. Others question the validity of this reasoning and seek clarification on the conditions under which it holds.

Discussion Status

The discussion is ongoing, with some participants offering insights into the relationship between the columns of B and linear dependence. However, there is a lack of consensus, as questions about the applicability of certain arguments arise.

Contextual Notes

Participants are navigating the definitions of singularity and linear dependence, and there may be assumptions about the dimensions and properties of the matrices involved that are not fully articulated.

EV33
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1. Homework Statement
Let A = [A1,...,An-1] be an (nx(n-1)) matrix. Show that B = [A1,...,An-1,Ab] is singular for every choice of b in R^n-1.



2. Homework Equations
Ax = 0



3. The Attempt at a Solution
I know that if B is singular that means that for the equation Bx = 0 there exists another solution another than the trivial solution (x = 0). Now if we made B have all the same columns as A except added a new column Ab, that would make B a square matrix that is (nxn). But from there, I can't figure out how to use the information I know to solve the problem...
 
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If a matrix is singular, then its columns are linearly dependent. Any ideas?
 
Ab=[A1b A2b ... An-1b]^T so by construction the column Ab is a linear combination of the first n-1 column vectors, regardless of what the vector b actually is. Hence detB=0
 
radou isn't that only true if the matrix is two by two?


And Matthollywood I am not sure what you are saying, could you please reword what you said.

Thank you.
 

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