Constructing Non-Zero Vectors from a Zero Matrix: A Proof of Linear Dependence

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Homework Help Overview

The discussion revolves around proving that if a square matrix \( A \) multiplied by any vector results in the zero vector, then \( A \) must be the zero matrix. This falls under the subject area of linear algebra, specifically focusing on concepts of linear dependence and matrix properties.

Discussion Character

  • Exploratory, Assumption checking, Conceptual clarification

Approaches and Questions Raised

  • Participants discuss the implications of the condition \( Ax = 0 \) for all vectors \( x \) and explore initial steps for the proof. Some express uncertainty about how to begin, while others suggest specific approaches, such as considering the definition of the zero matrix or choosing particular vectors to simplify the problem.

Discussion Status

The discussion is active, with participants sharing their thoughts on how to approach the proof. Some have suggested methods to prove specific entries of the matrix are zero, while others are questioning the implications of assuming certain entries are non-zero. There is no explicit consensus yet, but various productive lines of reasoning are being explored.

Contextual Notes

Participants note the forum's rules regarding providing help only after attempts have been made, which influences the nature of the discussion. There is also an acknowledgment of the need to clarify definitions and assumptions related to matrix operations.

hkus10
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1) Let A be an n x n matrix. Prove that if Ax= 0 for all n x 1matrices, then A=O.
Can you show me the steps of solving this problem?
Please!
 
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hkus10 said:
1) Let A be an n x n matrix. Prove that if Ax= 0 for all n x 1matrices, then A=O.
Can you show me the steps of solving this problem?
Please!
Show us what you've tried. The rules of this forum say that we aren't supposed to provide any help if you haven't given the problem a try.
 
Mark44 said:
Show us what you've tried. The rules of this forum say that we aren't supposed to provide any help if you haven't given the problem a try.

Actually, I am stuck how to begin this question. However, I still have some ideas for how to start. I just want to make sure this is the right approach before solving this kind of proof problem. Is it related to the Matrix-Vector Product ?
 
A vector and an n x 1 matrix are the same thing: it's just semantics.

First, write down what it means for A to be the zero matrix. This will tell you what it is you need to prove. Next, the condition Ax = 0 holds for all n x 1 matrices (or vectors) x, so try to cleverly choose a vector that makes the product Ax nice to work with.

I'm being pretty vague, but I'll be happy to elaborate once you show us your attempt.
 
Is it I have to converse of the implication first?
 
I suppose you could, but I think it's easier to prove directly. I guess both methods boil down to the same thing in the end.

Try this: how would you prove that the entry [itex]A_{1,1}=0[/itex]? If you can do this, you should be able to generalize your method.
 
Suppose some entry in A, say Aij is NOT 0. Can you construct a vector v, such that Av is not 0?
 

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