Proving that determinants aren't linear transformations?

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Homework Help Overview

The discussion revolves around determining whether the function defined by the determinant of a 2x2 matrix is a linear transformation. Participants explore the properties of determinants in relation to linearity, specifically questioning the validity of the equation det(A + B) = det(A) + det(B).

Discussion Character

  • Conceptual clarification, Assumption checking

Approaches and Questions Raised

  • Participants consider specific cases and counterexamples to test the linearity of the determinant function. There is a focus on the implications of the determinant's properties, such as det(λA) and the behavior of determinants under addition.

Discussion Status

Some participants have provided counterexamples to support the assertion that the determinant is not a linear transformation. There is an acknowledgment of the validity of these examples, though no consensus has been reached on the necessity of using definitions in the proof.

Contextual Notes

Participants note the potential for different interpretations of the problem and the importance of clarity in definitions and assumptions regarding linear transformations.

Eclair_de_XII
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Homework Statement


"Determine whether the function ##T:M_{2×2}(ℝ)→ℝ## defined by ##T(A)=det(A)## is a linear transformation.

Homework Equations


##det(A)=\sum_{i=1}^n a_{ij}C_{ij}##

The Attempt at a Solution


I'm assuming that it isn't a linear transformation because ##det(A+B)≠det(A)+det(B)##. So I have here:

##det(A)=\sum_{i=1}^n a_{ij}C_{ij}##
##det(B)=\sum_{i=1}^n b_{ij}C_{ij}##

##det(A)+det(B)=\sum_{i=1}^n (a_{ij}C_{ij}+b_{ij}C_{ij})##

Meanwhile, I have...

##det(A+B)=\sum_{i=1}^n (a_ij+bij)(C_{ij}+D_{ij})##

I'm fairly certain that the equation directly above is incorrect; perhaps that of the one above that one, too.
 
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What do you get for simple examples like ##A=\lambda I## and ##B=-A## before you try to prove the general case?
 
Eclair_de_XII said:

Homework Statement


"Determine whether the function ##T:M_{2×2}(ℝ)→ℝ## defined by ##T(A)=det(A)## is a linear transformation.

Homework Equations


##det(A)=\sum_{i=1}^n a_{ij}C_{ij}##

The Attempt at a Solution


I'm assuming that it isn't a linear transformation because ##det(A+B)≠det(A)+det(B)##. So I have here:

##det(A)=\sum_{i=1}^n a_{ij}C_{ij}##
##det(B)=\sum_{i=1}^n b_{ij}C_{ij}##

##det(A)+det(B)=\sum_{i=1}^n (a_{ij}C_{ij}+b_{ij}C_{ij})##

Meanwhile, I have...

##det(A+B)=\sum_{i=1}^n (a_ij+bij)(C_{ij}+D_{ij})##

I'm fairly certain that the equation directly above is incorrect; perhaps that of the one above that one, too.

You are correct. It is not a linear transformation because ##det(A + B) \neq det(A) + det(B)## (a counterexample is easy to find, so if you do this this is sufficient to prove the statement, there is really no need to use these definitions). Moreover, ##det(\lambda A) = \lambda^n det(A)## if ##A## is a ##n \times n## matrix, which means ##det(\lambda A) \neq \lambda det(A)## in general.
 
Math_QED said:
(a counterexample is easy to find, so if you do this this is sufficient to prove the statement, there is really no need to use these definitions)

I see. In any case, I'm just going to do the problem like this and hope that my teacher accepts it:

"Let ##A=[I_n]## and ##B## be an ##n×n## matrix such that ##ent_{ij}(B)=β≠0## iff ##i=j=1## and ##ent_{ij}(B)=0## otherwise. Then ##det(A)=1## and ##det(B)=0##. However, ##det(A+B)=1+β≠1=det(A)+det(B)##. Therefore, the determinant is not a linear transformation from ##M_{n×n}(ℝ)→ℝ##."
 
Eclair_de_XII said:
I see. In any case, I'm just going to do the problem like this and hope that my teacher accepts it:

"Let ##A=[I_n]## and ##B## be an ##n×n## matrix such that ##ent_{ij}(B)=β≠0## iff ##i=j=1## and ##ent_{ij}(B)=0## otherwise. Then ##det(A)=1## and ##det(B)=0##. However, ##det(A+B)=1+β≠1=det(A)+det(B)##. Therefore, the determinant is not a linear transformation from ##M_{n×n}(ℝ)→ℝ##."

Counterexamples are more elegant imo, and you are sure there is no flaw in the reasoning, but your approach is fine.
 
Thanks...
 

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