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 Resolvent contours:  The Resolvent matrix is = ( )   The diagrams below show the Resolvent contours / -pseudospectrum (  ()  ) close to the origin of a low resolution Eigen spectrum. The contours are of the followi ng form: () = { () ≤ }  The contours in the diagram below represent = 1, 10 , 10 2 , 10 3  

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  • Resolvent contours:

    The Resolvent matrix is = ( )1

    The diagrams below show the Resolvent contours / -pseudospectrum (()) close to the origin of a low resolution Eigen spectrum. The contours are of the following form:

    () = { ( ) }

    The contours in the diagram below represent = 1, 101, 102, 103

  • This next diagram is a closer look at the diagram above

    Zoom in version of the above diagram

    The Eigenvalues that are farthest from the contours are the eigenvalues that are the most susceptible

    to disturbance. Therefore, the Eigenvalues closest to the origin, represent the non-normal behavior

    of the matrix.

    Reasoning:

    If is a matrix over . Then for () we have

    ( )1 1

    (, ())

    However, if is normal then,

    ( )1 =1

    (, ())

    NON-NORMAL BEHAVIOUR OF THE H MATRIX

  • Where,

    (, ) = inf {| || }

    Questions:

    1. Please let me know if my interpretation of the Resolvent contours and what they signify is

    incorrect.

    2. The contour program is sluggish, similar contours on higher resolution Eigen-spectrum take

    a lot longer. I wanted to know if you would like to see the same program run for the high-res

    Eigen spectrum as well.