Physics Stability Analysis: Lagrangian Equilibria, Matrix Stability, Orbital Potentials, Slides of Classical Mechanics

Stability analysis in physics through various concepts such as lagrangian equilibria, matrix stability, orbital potentials, and lyapunov stability. It covers topics like expanding lagrangians near equilibrium, second derivative tests, normal modes, and effective potentials. Useful for students in physics and related fields.

Typology: Slides

2012/2013

Uploaded on 07/24/2013

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Stability

Lagrangian

Near

Equilibium

•^
A

‐dimensional

Lagrangian

can

be

expanded

near

equilibrium.

Expand

to

second

order

2 , 2 2 , 2 2 , 2 2 , , , 0 0 0 0 0 0 0 0 0 0 0 0

q

L q

q q

q q

L

q

L q

q

L q

q

L q

L

L

q q q q q q q q q q q

q^

^

^

 

 

  

 

 

  

 

 

    

 

    

 

  

2

2

q

F

q

Eq

Dq

q

C

Bq

A

L

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Matrix

Stability

•^
A

general

set

of

coordinates

gives

rise

to

a

matrix

form

of

the

Lagrangian.

Normal

modes

for

normal

coordinates.

•^

The

eigenfrequencies

2

determine

stability.

If

stable,

all

positive

Diagonalization

of

V

j i ij

j i ij^

q q V q q G L

1 2

1 2

] ) ( ) ( )
[(

2

2

2

1 2

j

j

j

i^

x

q

c

L
(^

2

j

Orbital

Potentials

•^

Kepler

orbits

involve

a

moving

system.

Effective

potential

reduces

to

a

single

variable

Second

variable

is

cyclic

2 2 2

r J

k r

V

eff

 

dr dV

r

eff

r

r

V

eff

r^0

r^ 

r^0

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Modified

Kepler

•^

Kepler

orbits

can

have

a

perturbed

potential.

Not

small

at

small

r

Two

equilibrium

points

Test

with

second

derivative

Test

with

r

2 2

3

r J

b r

k r

V

eff

b k

k J

k J

r^

2 (^42)

2

0

r

V

eff

r^0

r A

2 3

4

2

J r

r b

k r

dr dV

eff

^0

2

2

b k

r k J

r

b k

k J

k J

rA

2 (^42)

2

stable unstable

Lyapunov

Stability

•^
A

Lyapunov

function

is

defined

on

some

region

of

a

space

X

including

Continuous,

real

function

•^

The

derivative

with

respect

to

a

map

f

is

defined

as

a

dot

product.

•^

If

V

exists

such

that

V
,^

then

the

point

is

stable.

(^

x

x V

*^

x f x V x V