Trace of Linear Transformations











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I need to find the trace of the following powers of linear transformation which is already given.
enter image description here



My doubt is that Is there any better way than finding the matrix of linear transformation and then taking it's powers.
Because it will involve quite a lot of calculation as we will have a 10× 10 matrix.
Am I missing any trick??
Thanks and regards.










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  • Try computing eigenvalues. Note that there are some relatively obvious invariant subspaces, such as $operatorname{span}(1)$, $operatorname{span}(X, X^2)$, $operatorname{span}(X^3, X^4, X^5)$ and $operatorname{span}(X^6, X^7, X^8, X^9)$. You can break these subspaces down to eigenspaces without too much hassle.
    – Theo Bendit
    Nov 13 at 13:37






  • 2




    Or, given that this transformation just permutes monomials, computing powers is pretty easy to do.
    – Theo Bendit
    Nov 13 at 13:39










  • It will be helpful if you can elaborate a bit as an answer.
    – Devendra Singh Rana
    Nov 13 at 13:41















up vote
1
down vote

favorite
1












I need to find the trace of the following powers of linear transformation which is already given.
enter image description here



My doubt is that Is there any better way than finding the matrix of linear transformation and then taking it's powers.
Because it will involve quite a lot of calculation as we will have a 10× 10 matrix.
Am I missing any trick??
Thanks and regards.










share|cite|improve this question






















  • Try computing eigenvalues. Note that there are some relatively obvious invariant subspaces, such as $operatorname{span}(1)$, $operatorname{span}(X, X^2)$, $operatorname{span}(X^3, X^4, X^5)$ and $operatorname{span}(X^6, X^7, X^8, X^9)$. You can break these subspaces down to eigenspaces without too much hassle.
    – Theo Bendit
    Nov 13 at 13:37






  • 2




    Or, given that this transformation just permutes monomials, computing powers is pretty easy to do.
    – Theo Bendit
    Nov 13 at 13:39










  • It will be helpful if you can elaborate a bit as an answer.
    – Devendra Singh Rana
    Nov 13 at 13:41













up vote
1
down vote

favorite
1









up vote
1
down vote

favorite
1






1





I need to find the trace of the following powers of linear transformation which is already given.
enter image description here



My doubt is that Is there any better way than finding the matrix of linear transformation and then taking it's powers.
Because it will involve quite a lot of calculation as we will have a 10× 10 matrix.
Am I missing any trick??
Thanks and regards.










share|cite|improve this question













I need to find the trace of the following powers of linear transformation which is already given.
enter image description here



My doubt is that Is there any better way than finding the matrix of linear transformation and then taking it's powers.
Because it will involve quite a lot of calculation as we will have a 10× 10 matrix.
Am I missing any trick??
Thanks and regards.







linear-algebra linear-transformations






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share|cite|improve this question











share|cite|improve this question




share|cite|improve this question










asked Nov 13 at 13:31









Devendra Singh Rana

744216




744216












  • Try computing eigenvalues. Note that there are some relatively obvious invariant subspaces, such as $operatorname{span}(1)$, $operatorname{span}(X, X^2)$, $operatorname{span}(X^3, X^4, X^5)$ and $operatorname{span}(X^6, X^7, X^8, X^9)$. You can break these subspaces down to eigenspaces without too much hassle.
    – Theo Bendit
    Nov 13 at 13:37






  • 2




    Or, given that this transformation just permutes monomials, computing powers is pretty easy to do.
    – Theo Bendit
    Nov 13 at 13:39










  • It will be helpful if you can elaborate a bit as an answer.
    – Devendra Singh Rana
    Nov 13 at 13:41


















  • Try computing eigenvalues. Note that there are some relatively obvious invariant subspaces, such as $operatorname{span}(1)$, $operatorname{span}(X, X^2)$, $operatorname{span}(X^3, X^4, X^5)$ and $operatorname{span}(X^6, X^7, X^8, X^9)$. You can break these subspaces down to eigenspaces without too much hassle.
    – Theo Bendit
    Nov 13 at 13:37






  • 2




    Or, given that this transformation just permutes monomials, computing powers is pretty easy to do.
    – Theo Bendit
    Nov 13 at 13:39










  • It will be helpful if you can elaborate a bit as an answer.
    – Devendra Singh Rana
    Nov 13 at 13:41
















Try computing eigenvalues. Note that there are some relatively obvious invariant subspaces, such as $operatorname{span}(1)$, $operatorname{span}(X, X^2)$, $operatorname{span}(X^3, X^4, X^5)$ and $operatorname{span}(X^6, X^7, X^8, X^9)$. You can break these subspaces down to eigenspaces without too much hassle.
– Theo Bendit
Nov 13 at 13:37




Try computing eigenvalues. Note that there are some relatively obvious invariant subspaces, such as $operatorname{span}(1)$, $operatorname{span}(X, X^2)$, $operatorname{span}(X^3, X^4, X^5)$ and $operatorname{span}(X^6, X^7, X^8, X^9)$. You can break these subspaces down to eigenspaces without too much hassle.
– Theo Bendit
Nov 13 at 13:37




2




2




Or, given that this transformation just permutes monomials, computing powers is pretty easy to do.
– Theo Bendit
Nov 13 at 13:39




Or, given that this transformation just permutes monomials, computing powers is pretty easy to do.
– Theo Bendit
Nov 13 at 13:39












It will be helpful if you can elaborate a bit as an answer.
– Devendra Singh Rana
Nov 13 at 13:41




It will be helpful if you can elaborate a bit as an answer.
– Devendra Singh Rana
Nov 13 at 13:41










1 Answer
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1
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You have a 10x10 matrix indeed, but a really specific one.



Hint: Note that





  • $T(a_0)=a_0$


  • $X$ and $X^2$ coefficients are "mixed up"

  • So are $X^3$, $X^4$ and $X^5$ coefficients

  • Same with $X^i, iin {6,ldots,9}$


Treat each "block" separatly, and arrange them to form a block diagonal matrix






share|cite|improve this answer























  • We need to evaluate powers of these diagonal blocks@F.Carette right??
    – Devendra Singh Rana
    Nov 13 at 14:01










  • You're right. And as theses are just permutations, a block to the right power will be nothing more than the identity matrix.
    – F.Carette
    Nov 13 at 14:18











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1 Answer
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active

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1 Answer
1






active

oldest

votes









active

oldest

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active

oldest

votes








up vote
1
down vote



accepted










You have a 10x10 matrix indeed, but a really specific one.



Hint: Note that





  • $T(a_0)=a_0$


  • $X$ and $X^2$ coefficients are "mixed up"

  • So are $X^3$, $X^4$ and $X^5$ coefficients

  • Same with $X^i, iin {6,ldots,9}$


Treat each "block" separatly, and arrange them to form a block diagonal matrix






share|cite|improve this answer























  • We need to evaluate powers of these diagonal blocks@F.Carette right??
    – Devendra Singh Rana
    Nov 13 at 14:01










  • You're right. And as theses are just permutations, a block to the right power will be nothing more than the identity matrix.
    – F.Carette
    Nov 13 at 14:18















up vote
1
down vote



accepted










You have a 10x10 matrix indeed, but a really specific one.



Hint: Note that





  • $T(a_0)=a_0$


  • $X$ and $X^2$ coefficients are "mixed up"

  • So are $X^3$, $X^4$ and $X^5$ coefficients

  • Same with $X^i, iin {6,ldots,9}$


Treat each "block" separatly, and arrange them to form a block diagonal matrix






share|cite|improve this answer























  • We need to evaluate powers of these diagonal blocks@F.Carette right??
    – Devendra Singh Rana
    Nov 13 at 14:01










  • You're right. And as theses are just permutations, a block to the right power will be nothing more than the identity matrix.
    – F.Carette
    Nov 13 at 14:18













up vote
1
down vote



accepted







up vote
1
down vote



accepted






You have a 10x10 matrix indeed, but a really specific one.



Hint: Note that





  • $T(a_0)=a_0$


  • $X$ and $X^2$ coefficients are "mixed up"

  • So are $X^3$, $X^4$ and $X^5$ coefficients

  • Same with $X^i, iin {6,ldots,9}$


Treat each "block" separatly, and arrange them to form a block diagonal matrix






share|cite|improve this answer














You have a 10x10 matrix indeed, but a really specific one.



Hint: Note that





  • $T(a_0)=a_0$


  • $X$ and $X^2$ coefficients are "mixed up"

  • So are $X^3$, $X^4$ and $X^5$ coefficients

  • Same with $X^i, iin {6,ldots,9}$


Treat each "block" separatly, and arrange them to form a block diagonal matrix







share|cite|improve this answer














share|cite|improve this answer



share|cite|improve this answer








edited Nov 13 at 14:19

























answered Nov 13 at 13:42









F.Carette

1,19312




1,19312












  • We need to evaluate powers of these diagonal blocks@F.Carette right??
    – Devendra Singh Rana
    Nov 13 at 14:01










  • You're right. And as theses are just permutations, a block to the right power will be nothing more than the identity matrix.
    – F.Carette
    Nov 13 at 14:18


















  • We need to evaluate powers of these diagonal blocks@F.Carette right??
    – Devendra Singh Rana
    Nov 13 at 14:01










  • You're right. And as theses are just permutations, a block to the right power will be nothing more than the identity matrix.
    – F.Carette
    Nov 13 at 14:18
















We need to evaluate powers of these diagonal blocks@F.Carette right??
– Devendra Singh Rana
Nov 13 at 14:01




We need to evaluate powers of these diagonal blocks@F.Carette right??
– Devendra Singh Rana
Nov 13 at 14:01












You're right. And as theses are just permutations, a block to the right power will be nothing more than the identity matrix.
– F.Carette
Nov 13 at 14:18




You're right. And as theses are just permutations, a block to the right power will be nothing more than the identity matrix.
– F.Carette
Nov 13 at 14:18


















 

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