Mechanics Rigid Body Motion, Lecture Notes - Physics, Study notes of Mechanics

Mechanics, Physics, Rigid Body Motion, Rigid Body, 2-D Rotation, 3D Rotation, Constraints of Rotation , Orthogonal Matrix, Space Inversion, Rotation Matrix, Euler Angles, Euler’s Theorem, Rotation Vecto,r Infinitesimal Rotation, Axial Vecto,r Parity.

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Mechanics
Physics 151
Lecture 8
Rigid Body Motion
(Chapter 4)
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Mechanics

Physics 151

Lecture 8

Rigid Body Motion

(Chapter 4)

What We Did Last Time!^

Discussed scattering problem^!

Foundation for all experimental physics

!^

Defined and calculated cross sections^!

Differential cross section and impact parameter! Rutherford scattering

!^

Translated into laboratory system^!

Angular translation + Jacobian! Shape of

) changes

(^

)^

sin

s^

ds d

hits N

I

=^

Rigid Body!^

Multi-particle system with fixed distances^!

Constraints:

!^

How should we define generalized coordinates?^!

How many independent coordinates are there?! If you start from 3

N

and subtract the number of constraints

!^

Right answer: 3 translation and 3 rotation = 6

const

for all ,

ij^

i^

j

r^

i j

=^

−^

r^

r

2

(^

N N

N

N

N

−^

−^

=^

≤^

0 for N

Not all the constraints are independent

Today’s theme

2-D Rotation!^

2-dimensional rotation is specified by a 2×2 matrix^!

Try the same thing with 3-d rotation

cos

sin

sin

cos

x^

x

y^

y x y

θ^

θ^

^

^

^

^

^

^

′^

^

^

^

′^

⋅^

^

=^

^

′^

⋅^

^

i^

i^

i^

j

j^

i^

j^

j

θ^

x x

yy

i

j

i j

x^

x

yy

z

z

3D Rotation!^

Simplify formulae by renaming^!

Rotation is now expressed by

!^

We got 9 parameters

a

ij^

to describe a 3-d rotation

!^

Only 3 are independent

1

2

3

,^

)^

(^

,^

,^

x y z

x^

x^

x

1

2

3

(^

,^

,^

)^

(^

,^

,^

x^

y^

z^

x^

x^

x

′^

′^

′^

′^

′^

cos

i^

ij^

j^

ij^

j^

ij^

j

j^

j

x^

x^

a x

a x

=^

∑ Einstein convention:

Implicit summation over repeated index

Constraints of Rotation!^

Rotation cannot change the length of any vector^!

Exactly the constraints we need for rigid body motion! Using the transformation matrix! Matrix

A

= [

aij

] is orthogonal

2

i^

i^

i^

i

r^

x x

′ ′ x x

=^

i^

i^

ij^

j^

ik^

k

x x

a x a x ′ ′ =

i^

ij^

j

x^

a x ′ = therefore

(^

(^

ij^

ik^

jk

j^

k

a a

j^

k

δ^

=^

≡^

^

6 conditionsreduces freeparametersfrom 9 to 3

AA

Transpose of

A

Space Inversion!^

Space inversion is represented by^!

S

is orthogonal

Doesn’t change distances

!^

But it cannot be a rotation^!

Coordinate axes invert to become left-handed! Orthogonal matrices with |

A

| = –1 does this

!^

Rigid body rotation is represented by properorthogonal matrices

^

=^

≡^

^

^

^

r^

r^

Sr

r^

S

Rotation Matrix!^

A

operating on

r

can be interpreted as

!^

Rotating

r

around an axis by an angle

!^

Positive angle = clockwise rotation

!^

Rotating the coordinate axes around the same axis by thesame angle in the opposite direction^!

Positive angle = counter clockwise rotation

!^

Both interpretations are useful^!

We are more interested in the latter for now

!^

How do we write

A

with 3 parameters?

!^

There are many ways

′ = r

Ar

Euler Angles!^

Definition of Euler angles is somewhat arbitrary^!

cos May rotate around different axes in different order! Many conventions exist – Watch out!

sin

0

sin

cos

0

0

0

1

φ^

φ

φ^

φ

^

^

=^

−

^

^

D

1

0

0

0

cos

sin

0

sin

cos θ^

θ

θ^

θ

^

^

=^

^

^

− ^

C

cos

sin

0

sin

cos

0

0

0

1

ψ^

ψ

ψ^

ψ

^

^

=^

−

^

^

B

cos

cos

cos

sin

sin

cos

sin

cos

cos

sin

sin

sin

sin

cos

cos

sin

cos

sin

sin

cos

cos

cos

cos

sin

sin

sin

sin

cos

cos

ψ^

φ^

θ^

φ^

ψ

ψ^

φ^

θ^

φ^

ψ^

ψ^

θ

ψ^

φ^

θ^

φ^

ψ^

ψ^

φ^

θ^

φ^

ψ^

ψ^

θ

θ^

φ

θ^

φ

θ

−^

^

^

=^

−^

−^

−^

^

^

^

A

Rigid Body Motion!^

Motion of a rigid body can be described by:^!

Define

x’-y’-z’

axes (body axes) attached to the rigid body

!^

Same direction as

x-y-z

(space axes) at

t^

!^

Origin fixed at one point of the rigid body (e.g. CoM)

!^

Use

R

( t ) to describe the motion of the origin

!^

Use

A

( t ) to describe the rotation of the

x’-y’-z’

axes

!^

Use Euler angles

t ),

t ),

( t )

!^

A

^1

!^

6 independent coordinates (

x ,

y

,^ z

,^ φ

,^ θ

,^ ψ

Euler’s Theorem

!^

If a matrix

A

satisfies

!^

Since !^

For odd-dimensioned matrices

Ar = r

(^

)^

A

1 r =

0 or

0 or

−^

=^

=^

A

r^

A - 1

A

! A

(^

−^

−^

−^

A

1 A = 1

A

A

1 A = 1

A

A

A

!^

!^

−^

M

M

−^

−^

−^

A

A

Q.E.D.

Rotation Vector?!^

Euler’s theorem provides another way of describing3-d rotation^!

Direction of axis (2 parameters) and angle of rotation (1)! It sounds a bit like angular momentum

!^

Critical difference: commutativity^!

Angular momentum is a vector

!^

Two angular momenta can be added in any order

!^

Rotation is not a vector^!

Two rotations add up differently depending on whichrotation is made first

behaves almost like a

vector

Infinitesimal Rotation!^

Inverse of an infinitesimal rotation is^!

Using! We can write

ε as

(^

+^

−^

=^

+^

−^

ε^

ε^

ε^

ε^

1

(^

+^

=^

ε^

ε (^1) − = A

!^ A

+^

=^

ε^

ε

!

ε^

ε !^

ε^ is antisymmetric^3

2

3

1

2

1

d^

d

d^

d

d^

Ω d

^

^

=^

^

^

^

ε^

1

2

3

(^

,^

,^

d^

d^

d^

d

=^

We’ll see…

Infinitesimal Rotation!^

A vector

r

is rotated by

(^1

ε

)^ as

!^

Euler’s theorem says this equals to arotation by an infinitesimal angle

d

around an axis

n

(^

r^

ε^

r

3

2

1

3

1

2

2

1

3

d^

d^

x

d^

d^

x

d^

d^

x

d^

d

−^

^

^

≡^

−^

=^

=^

^

^

−^

^

r^

r^

r^

ε^

r ◊

r^

n

r d r

d Φ

d^

d

=^

r^

r ◊n

d^

d =^

n