Way to generalize the relationship between T and T^2?

In summary, the conversation discusses the relationship between diagonalizable matrices and their powers, specifically T and T^2. It is mentioned that if T is diagonalizable, then so is T^2, but the reverse implication is not always true. A counterexample is provided to demonstrate this. It is also mentioned that the addition of two diagonalizable matrices may not always be diagonalizable, and a counterexample is suggested. The conversation concludes with a question about the diagonalizability of a specific 2x2 matrix.
  • #1
mind0nmath
19
0
Hey,
I know that if T(linear transformation in finite dim-vector space) is diagonalizable, then the matrix A that represent T is diagonalizable if there exist a matrix P=! 0 that is invertible and A=P^-1 * D * P for a diagonal matrix D.
I also know that raising A to a positive power will equal the right side with D raised to that same power. i.e. A^n = P^-1 * D^n * P
Does this imply that if T is diagonalizable so is T^2? what if T^2 is diagonalizable, then does that imply T is diagonalizable?

I think that it is an iff statement. Can anyone shine some light into this situation? maybe a counter example? is there a way to generalize the relationship between T and T^2?
 
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  • #2
T diagonalizable certainly means T^2 is diagonalizable. The reverse implication is false, in general. To see why: if t is an e-value of T, then t^2 is an e-value of T^2. Now, what if s is an e-value of T^2? We're surely going to want sqrt(s) an e-value of T, but what if the matrices are over R and s=-1?
 
  • #3
So if T is over the complex numbers, then both directions are true?
i.e. T is diagonalizable <=> T^2 is diagonalizable?
 
  • #4
no. the standard example of a on diagonalizable matrix is a nilpotent matrix. so if T^2 = 0, then T^2 is obviously diagonal but T may not be.

e.g. differentiation of linear functions is square nilpotent, but there are no linear functions such that Df = af except f =0.
 
  • #5
I thought for T to be diagonalizable, it should have dimT distinct eigenvalues or dim(T) linearly independent eigenvectors. Then how is the Zero matrix diagonalizable? aren't the roots all the same(i.e. =0)? and null(T)=C^n?
 
  • #6
It is diagonalizable by your own criteria: any basis is a set of linearly independent eigenvalues.
 
  • #7
How about the addition of two diagonalizable matricies? Is it always diagonalizable in some basis if the field is the complex numbers?
my initial thought is: yes. by the spectral theorem. but not 100% sure since I suspect we might not be able to find a basis for the addition of the matrices which in turn would make it diagonalizable.
any thoughts??
 
  • #8
Have you attempted to find a counterexample? Keep in mind that a nonzero nilpotent matrix is not diagonalizable.
 
  • #9
Here's a new question(related to the subject). Is the 2x2 matrix with only a scalar in the right upper corner and all other entries = 0, diagonalizable? That matrix, call it T, is nilpotent. T^2 is the zero matrix. Isn't the zero matrix diagonalizable? it is in the diagonal form so it must be. Is T diagonalizable??
 
  • #10
If the scalar in the upper right corner is nonzero, then no, this matrix is not diagonalizable. It's been pointed out twice in this thread that a nonzero nilpotent matrix is not diagonalizable (general nxn matrices even, not just 2x2s) -- try to prove this.
 

FAQ: Way to generalize the relationship between T and T^2?

What is the relationship between T and T^2?

The relationship between T and T^2 is that T^2 is the square of T. In other words, T^2 is equal to T multiplied by itself.

Is the relationship between T and T^2 always true?

Yes, the relationship between T and T^2 is always true because it is a mathematical rule that applies to all numbers.

How can the relationship between T and T^2 be generalized?

The relationship between T and T^2 can be generalized by stating that for any number T, T^2 is equal to T multiplied by itself.

Is the relationship between T and T^2 important in science?

Yes, the relationship between T and T^2 is important in science as it is a fundamental concept in mathematics, which is the foundation of many scientific principles and theories.

Can the relationship between T and T^2 be applied to other variables?

Yes, the relationship between T and T^2 can be applied to other variables as long as they follow the same mathematical rule. For example, the relationship between S and S^2 would also be the square of S.

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