How to Find \(a^2\) from a Matrix Inverse Equation?

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Discussion Overview

The discussion revolves around finding the value of \(a^2\) from a matrix inverse equation involving a specific matrix and a vector. Participants explore the conditions under which the matrix is singular and the implications for the existence of solutions to the equation.

Discussion Character

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

Main Points Raised

  • One participant seeks guidance on finding \(a^2\) given a matrix equation involving a vector.
  • Another participant suggests that the matrix is singular and discusses the implications of singularity on invertibility.
  • A different participant challenges the assertion of singularity, providing a counterexample and questioning the relationship between the existence of \(x\) and the matrix's invertibility.
  • Definitions of singular matrices are provided, with emphasis on the existence of non-zero vectors that yield zero when multiplied by the matrix.
  • Participants discuss the relevance of determinants and alternative definitions of singularity, including linear dependence of columns.
  • One participant proposes a method to find values of \(a\) that lead to singularity without using determinants, leading to a system of equations to solve for \(a^2\).

Areas of Agreement / Disagreement

Participants express differing views on the singularity of the matrix and the relevance of the "17th power" in the context of the problem. There is no consensus on the best approach to finding \(a^2\), and multiple competing views remain regarding the conditions for singularity.

Contextual Notes

Some participants note limitations in their approaches, such as avoiding determinants and the complexity introduced by the matrix being raised to the 17th power. There are unresolved assumptions regarding the field over which the matrix operates.

Who May Find This Useful

This discussion may be of interest to those studying linear algebra, particularly in the context of matrix theory and singular matrices, as well as individuals exploring problem-solving strategies in mathematical reasoning.

Yankel
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Hello,

I have another question regarding inverse matrices. I need to find

\[a^{2}\]

given:

\[\exists x: \begin{pmatrix} 1 &a \\ 2a &1 \end{pmatrix}^{2}\cdot \begin{pmatrix} 1\\ x \end{pmatrix}=\begin{pmatrix} 0\\ 0 \end{pmatrix}\]

Any hints or guidance will be appreciated !

Thanks !
 
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Some random thoughts that occurs to me:

We can see that the matrix:

$\begin{bmatrix}1&2a\\a&1 \end{bmatrix}^2$

is singular. Let's call this matrix $M^2$.

Convince yourself that if $M$ is invertible, so is $M^2$. Since $M^2$ is singular, then, so must $M$ be. Under what conditions will $M$ be singular?
 
not sure I follow you

what makes you think it is singular ? I ran an example setting a=2 on Maple and there was an inverse...

if they tell me there exist x such that...is it right to say that there exist x that solves this linear equation system, meaning that the matrix is invertible ? saying that, is it correct to say that rank of this matrix must equal 2, and that what I need to do here is to find the values of a that gives me that ? If I am correct, I know WHAT to do, but not HOW to do, because of the 17th power up there.
 
There are lots of "equivalent" definitions of a singular matrix:

1) A matrix that is not invertible.
2) A matrix $A$ for which there exists some other matrix $B \neq 0$ with $AB = 0$.
3) A matrix $A$ for which there exists some non-zero vector $v$ such that $Av = 0$.
4) A matrix with zero determinant.

It should be clear that definition #3 is easiest to apply, here: since the vector $(1,x)^T$ is non-zero, no matter "what" $x$ may be.

Yes, for SOME values of $a$, the matrix $M$ WILL be invertible. You are not interested in those values, you are interested in the values for which $M$ will NOT be invertible (Hint: look at definition #4).
 
basically I am not suppose to use determinants for this one...

I understand what you mean now, for why seeking for values of a for which the matrix is NOT invertible. How should I find them if I have a 17th power - this I am yet to realize
 
Not using determinants seems an onerous restriction, as it truly is the most elegant way in this case.

I do not see why you keep mentioning the "17th power" it truly does not seem relevant.

I forgot the mention a 5th equivalent definition of a singular matrix:

One whose columns form a linearly dependent set.

If we apply THIS definition, we must have:

$(2a,1) = (k,ka)$ for some field element (real number? rational? complex? you do not say...) $k$.

Since by direct substitution we see $a = 0$ does not work, we may assume $a \neq 0$.

This leads to the two equations:

$2a = k$
$1 = ka$

That is:

$k = \dfrac{1}{a} = 2a$.

This last equation can be solved for $a^2$.
 

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