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Understanding stability of fixed points in 2D maps.


Definition and some elementary properties of the “vector turn map”What is this bifurcation?Nature of stability of critical pointsProve the Cayley-Hamilton theorem using upper triangular form and matrices?Diagonalisability with $lambda = 2,x$Linear ODE induces new ODE on the sphere: stability questions.Understanding a spectral theorem's proofMultiplying eigenvalues with characteristic polynomialStability around critical points of linear and almost linear systems proofDefinition of a hyperbolic map













1












$begingroup$


I'm trying to understand the stability analysis for a map of the form $$(x_n+1, y_n+1) = A(x_n,y_n)$$



Where A is a 2x2 matrix - assumed to be diagonalisable and with distinct eigenvalues. I understand there are two cases to consider:



  • If $lambda_1$ and $lambda_2$ are real then it's clear that the general solution is $v_n = (lambda)^n v_0$ and this is clearly stable iff $|lambda|$ are both less than 1.

  • If If $lambda_1$ and $lambda_2$ are a complex conjugate pair then we can write the general solution in polar coordinates (as seen here http://math.colgate.edu/~wweckesser/math312Spring05/handouts/Linear2DMaps.pdf) to a vector proportional to $r^n$ where $r = |lambda|$ and again this is stable iff $r<1$.

Now my confusion comes from looking at the stability of an area preserving map (E.g. the standard map http://mathworld.wolfram.com/StandardMap.html). In such a case the characteristic polynomial is: $$p(lambda) = lambda^2 - Tr(A)lambda + 1$$



It's claimed in the mathworld article that $Tr(A) < 2$ i.e. the real parts of the conjugate pair are less than 1. Whereas with the stability analysis outlined above it would seem that the fixed points of an area preserving map are marginally stable as their eigenvalues lie on the unit disk?



Thanks for any help with understanding this difference!










share|cite|improve this question











$endgroup$
















    1












    $begingroup$


    I'm trying to understand the stability analysis for a map of the form $$(x_n+1, y_n+1) = A(x_n,y_n)$$



    Where A is a 2x2 matrix - assumed to be diagonalisable and with distinct eigenvalues. I understand there are two cases to consider:



    • If $lambda_1$ and $lambda_2$ are real then it's clear that the general solution is $v_n = (lambda)^n v_0$ and this is clearly stable iff $|lambda|$ are both less than 1.

    • If If $lambda_1$ and $lambda_2$ are a complex conjugate pair then we can write the general solution in polar coordinates (as seen here http://math.colgate.edu/~wweckesser/math312Spring05/handouts/Linear2DMaps.pdf) to a vector proportional to $r^n$ where $r = |lambda|$ and again this is stable iff $r<1$.

    Now my confusion comes from looking at the stability of an area preserving map (E.g. the standard map http://mathworld.wolfram.com/StandardMap.html). In such a case the characteristic polynomial is: $$p(lambda) = lambda^2 - Tr(A)lambda + 1$$



    It's claimed in the mathworld article that $Tr(A) < 2$ i.e. the real parts of the conjugate pair are less than 1. Whereas with the stability analysis outlined above it would seem that the fixed points of an area preserving map are marginally stable as their eigenvalues lie on the unit disk?



    Thanks for any help with understanding this difference!










    share|cite|improve this question











    $endgroup$














      1












      1








      1





      $begingroup$


      I'm trying to understand the stability analysis for a map of the form $$(x_n+1, y_n+1) = A(x_n,y_n)$$



      Where A is a 2x2 matrix - assumed to be diagonalisable and with distinct eigenvalues. I understand there are two cases to consider:



      • If $lambda_1$ and $lambda_2$ are real then it's clear that the general solution is $v_n = (lambda)^n v_0$ and this is clearly stable iff $|lambda|$ are both less than 1.

      • If If $lambda_1$ and $lambda_2$ are a complex conjugate pair then we can write the general solution in polar coordinates (as seen here http://math.colgate.edu/~wweckesser/math312Spring05/handouts/Linear2DMaps.pdf) to a vector proportional to $r^n$ where $r = |lambda|$ and again this is stable iff $r<1$.

      Now my confusion comes from looking at the stability of an area preserving map (E.g. the standard map http://mathworld.wolfram.com/StandardMap.html). In such a case the characteristic polynomial is: $$p(lambda) = lambda^2 - Tr(A)lambda + 1$$



      It's claimed in the mathworld article that $Tr(A) < 2$ i.e. the real parts of the conjugate pair are less than 1. Whereas with the stability analysis outlined above it would seem that the fixed points of an area preserving map are marginally stable as their eigenvalues lie on the unit disk?



      Thanks for any help with understanding this difference!










      share|cite|improve this question











      $endgroup$




      I'm trying to understand the stability analysis for a map of the form $$(x_n+1, y_n+1) = A(x_n,y_n)$$



      Where A is a 2x2 matrix - assumed to be diagonalisable and with distinct eigenvalues. I understand there are two cases to consider:



      • If $lambda_1$ and $lambda_2$ are real then it's clear that the general solution is $v_n = (lambda)^n v_0$ and this is clearly stable iff $|lambda|$ are both less than 1.

      • If If $lambda_1$ and $lambda_2$ are a complex conjugate pair then we can write the general solution in polar coordinates (as seen here http://math.colgate.edu/~wweckesser/math312Spring05/handouts/Linear2DMaps.pdf) to a vector proportional to $r^n$ where $r = |lambda|$ and again this is stable iff $r<1$.

      Now my confusion comes from looking at the stability of an area preserving map (E.g. the standard map http://mathworld.wolfram.com/StandardMap.html). In such a case the characteristic polynomial is: $$p(lambda) = lambda^2 - Tr(A)lambda + 1$$



      It's claimed in the mathworld article that $Tr(A) < 2$ i.e. the real parts of the conjugate pair are less than 1. Whereas with the stability analysis outlined above it would seem that the fixed points of an area preserving map are marginally stable as their eigenvalues lie on the unit disk?



      Thanks for any help with understanding this difference!







      linear-algebra dynamical-systems nonlinear-system






      share|cite|improve this question















      share|cite|improve this question













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      share|cite|improve this question








      edited May 26 '15 at 22:14









      Lukas Geyer

      13.8k1556




      13.8k1556










      asked May 24 '15 at 10:57









      WoosterWooster

      1,405935




      1,405935




















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          $begingroup$

          In linear area-preserving maps the product of the eigenvalues (i.e. the determinant) lies on the unit circle. This does not imply that all the eigenvalues lie on the unit circle. You can have two real values, one within the unit circle and one outside of it. The sum of the eigenvalues (the trace of the matrix) will tell you whether or not this is the case.






          share|cite|improve this answer









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            $begingroup$

            In linear area-preserving maps the product of the eigenvalues (i.e. the determinant) lies on the unit circle. This does not imply that all the eigenvalues lie on the unit circle. You can have two real values, one within the unit circle and one outside of it. The sum of the eigenvalues (the trace of the matrix) will tell you whether or not this is the case.






            share|cite|improve this answer









            $endgroup$

















              0












              $begingroup$

              In linear area-preserving maps the product of the eigenvalues (i.e. the determinant) lies on the unit circle. This does not imply that all the eigenvalues lie on the unit circle. You can have two real values, one within the unit circle and one outside of it. The sum of the eigenvalues (the trace of the matrix) will tell you whether or not this is the case.






              share|cite|improve this answer









              $endgroup$















                0












                0








                0





                $begingroup$

                In linear area-preserving maps the product of the eigenvalues (i.e. the determinant) lies on the unit circle. This does not imply that all the eigenvalues lie on the unit circle. You can have two real values, one within the unit circle and one outside of it. The sum of the eigenvalues (the trace of the matrix) will tell you whether or not this is the case.






                share|cite|improve this answer









                $endgroup$



                In linear area-preserving maps the product of the eigenvalues (i.e. the determinant) lies on the unit circle. This does not imply that all the eigenvalues lie on the unit circle. You can have two real values, one within the unit circle and one outside of it. The sum of the eigenvalues (the trace of the matrix) will tell you whether or not this is the case.







                share|cite|improve this answer












                share|cite|improve this answer



                share|cite|improve this answer










                answered Jun 1 '15 at 10:05









                citronrosecitronrose

                497313




                497313



























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