Guide to Non-linear Dynamics in Accelerator Physics/Linear Motion

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This chapter provides tools to describe linear motions

Linear dynamics of a single particle

For the case of linear dynamics, the motion can be represented by a 2N x 2N matrix. This matrix maps phase space points into phase space points. Let us represent the initial phase space point by z0. The transformation can then be represented by

z=Mz0.

The matrix M will be symplectic. This means that

MTJM=J

where

J=(010000100000000100001000000001000010).

Now, in quantum mechanics, we typically deal with Hermitian operators. These can be diagonalized by orthogonal matrices. With symplectic matrices, we can diagonalize the matrix, but here the transformation matrix will be symplectic. To do this, we find the eigenvectors of M. Let us label these as v±1,±2,±3 The positive and negative eigenmodes are related to each other by

vk=ivk*

We can define the normalization by defining an upper indexed vector

vj=isgn(j)vj*

Then we find the normalization condition

vjvk=δjk

The matrix of eigenvectors

U=(v1 v1v2 v2 v3 v3)

is symplectic. The invariants are given in terms of the eigenvectors as

Ga=J(vava+va*vaT)J

Linear Motion in terms of Lie operators

We may also describe the one turn map as an operator on x and p. Let us consider the rotation matrix (xp)=(cosμsinμsinμcosμ)(x0p0) We may represent this in terms of functions by the Lie operator R=eμ2:x2+p2: This operator acts on the functions x and p in the following way Rx=cosμxsinμp and Rp=sinμp+cosμx The eigenfunctions of R are given by h±=xip with Rh±=e±iμh±. h± are sometimes referred to as the resonance basis. In the non-linear problems, we will need to compute various operators built out the linear operator. Expanding in terms of the resonance basis will allow us to do these calculations.

2-D phase space

Here the one turn map is a 2 x 2 matrix with determinant 1. We can parametrize it by

Mx=Icosμ+Jxsinμ

where

Jx=(αβγα)

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