4x4 Matrix with rank B=4 and B^2=3

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Discussion Overview

The discussion revolves around the possibility of constructing a 4x4 matrix \( B \) such that the rank of \( B \) is 4 while the rank of \( B^2 \) is 3. Participants explore the implications of matrix rank and determinants in this context, examining both theoretical and practical aspects.

Discussion Character

  • Debate/contested
  • Mathematical reasoning

Main Points Raised

  • Some participants assert that for a matrix \( B \) to have rank 4, the determinant \( \det(B) \) must be non-zero, while for \( B^2 \) to have rank 3, \( \det(B^2) \) must be zero. They note that this leads to a contradiction since \( \det(B^2) = (\det(B))^2 \).
  • One participant suggests that the rank-nullity theorem implies that if \( \operatorname{rank} B = 4 \), then \( B \) is bijective, which would mean \( \operatorname{rank} B^2 \) should also be 4.
  • Another participant mentions an alternative proof approach that does not rely on determinants, emphasizing the implications of bijective linear maps.
  • There is a reference to a property of determinants, \( |AB| = |A||B| \), which some participants discuss in relation to the original question.
  • Several participants share resources and references for understanding determinants and their properties, indicating a shared interest in the mathematical foundations of the topic.

Areas of Agreement / Disagreement

Participants generally disagree on the possibility of constructing such a matrix \( B \). While some argue it is impossible due to the properties of determinants, others explore alternative proofs and reasoning that suggest different interpretations of the problem.

Contextual Notes

The discussion highlights the dependence on definitions and properties of determinants and matrix rank, with unresolved mathematical steps regarding the implications of rank and nullity in the context of the given matrix.

Petrus
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Hello MHB,
"Can we construct a $$4x4$$ Matrix $$B$$ so that rank $$B=4$$ but rank $$B^2=3$$"
My thought:
we got one condition for this to work is that det $$B=0$$ and det $$B^2 \neq 0$$ and B also have to be a upper/lower or identity Matrix. And this Will not work.. I am wrong or can I explain this in a better way?

Regards,
$$|\pi\rangle$$
 
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Petrus said:
"Can we construct a $$4x4$$ Matrix $$B$$ so that rank $$B=4$$ but rank $$B^2=3$$"
My thought:
we got one condition for this to work is that det $$B=0$$ and det $$B^2 \neq 0$$
It's the other way around: $\mathop{\text{rank}}(B)=4\iff\det(B)\ne0$ and $\mathop{\text{rank}}(B^2)=3\implies\det(B^2)=0$. But you are right that this is impossible because $\det(B^2)=(\det(B))^2$.
 
Evgeny.Makarov said:
It's the other way around: $\mathop{\text{rank}}(B)=4\iff\det(B)\ne0$ and $\mathop{\text{rank}}(B^2)=3\implies\det(B^2)=0$. But you are right that this is impossible because $\det(B^2)=(\det(B))^2$.
Hello Evgeny.Makarov,
thanks for fast respond and I meant that! And thanks for showing me this I did not know that $\det(B^2)=(\det(B))^2$ That Was what I Was looking for

Regards,
$$|\pi\rangle$$
 
Last edited:
An alternative proof (without using determinants):

Consider the linear map $B:\mathbb{R}^4\to \mathbb{R}^4,\; x\to Bx.$ As $\operatorname{rank}B=4,$ $\operatorname{nullity}B=0,$ which implies $B$ is bijective. But the composition of bijective maps is bijective, so $\operatorname{rank}B^2=4.$
 
Another formulation:

As rank(B) = 4, B is surjective, that is, B(R4) = R4 (for this is what rank means: the dimension of the image space (or column space) of B, and R4 is the ONLY 4-dimensional subspace of R4​).

Consequently, B2(R4) = B(B(R4)) = B(R4) = R4, from which we conclude B2 is likewise surjective, and thus rank(B2) = 4 as well.

(I only post this to indicate one need not even invoke the rank-nullity theorem).
 
Evgeny.Makarov said:
this is impossible because $\det(B^2)=(\det(B))^2$.
Now that I think about I remember a sats that said $$|AB|=|A||B|$$ but in this case $$A=B$$ hmm I need to find the proof for this.

Regards,
$$|\pi\rangle$$
 
I saw one neat proof of $\det(AB)=\det(A)\det(B)$ in Linear Algebra and Its Applications by Gilbert Strang. He defines $\det(\cdot)$ as a function satisfying three properties:

(1) $\det(I)=1$ where $I$ is the identity matrix;
(2) it changes sign when two adjacent rows are swapped;
(3) it is linear on the first row.

Signed volume in an orthonormal basis satisfies these properties, so this definition is much more intuitive than the Leibniz formula, which is derivable from (1)–(3).

Now, to prove that $\det(AB)=\det(A)\det(B)$, fix $B$ and consider $d(A)=\det(AB)/\det(B)$. It is possible to show that $d(A)$ satisfies (1)–(3), and so $d(A)=\det(A)$.

Now that I looked at the StackExchange link, this is answer #2, which is highest-ranked.
 

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