• No results found

Mathematical Methods For Physicists Solutions Ch. 2, Webber and Arfken

N/A
N/A
Protected

Academic year: 2021

Share "Mathematical Methods For Physicists Solutions Ch. 2, Webber and Arfken"

Copied!
6
0
0

Loading.... (view fulltext now)

Full text

(1)

Physics 451 Fall 2004 Homework Assignment #4 — Solutions

Textbook problems: Ch. 2: 2.5.11, 2.6.5, 2.9.6, 2.9.12, 2.10.6, 2.10.11, 2.10.12 Chapter 2

2.5.11 A particle m moves in response to a central force according to Newton’s second law m¨~r = ˆr f (~r )

Show that ~r × ˙~r = ~c, a constant, and that the geometric interpretation of this leads to Kepler’s second law.

Actually, ~r × ˙~r is basically the angular momentum, ~L = ~r × ~p = m~r × ˙~r. To show that ~L is constant, we can take its time derivative

˙~L = d

dt(m~r × ˙~r ) = m ˙~r × ˙~r + m~r × ¨~r

The first cross-product vanishes. So, by using Newton’s second law, we end up with

˙~L = ~r × ˆrf(~r ) = (~r × ~r )f(~r ) r = 0

This indicates that the angular momentum ~L is a constant in time (ie that it is conserved). The constant vector ~c of the problem is just ~L/m. Note that this proof works for any central force, not just the inverse square force law.

For the geometric interpretation, consider the orbit of the particle m

dr r

The amount of area swept out by the particle is given by the area of the triangle dA = 12|~r × d~r |

So the area swept out in a given time dt is simply dA dt = 1 2 ~r ×d~r dt = 12|~r × ˙~r |

Since this is a constant, we find that equal areas are swept out in equal times. This is just Kepler’s second law (which is also the law of conservation of angular momentum).

(2)

2.6.5 The four-dimensional, fourth-rank Riemann-Christoffel curvature tensor of general relativity Riklm satisfies the symmetry relations

Riklm = −Rikml = −Rkilm

With the indices running from 0 to 3, show that the number of independent compo-nents is reduced from 256 to 36 and that the condition

Riklm = Rlmik

further reduces the number of independent components to 21. Finally, if the com-ponents satisfy an identity Riklm + Rilmk + Rimkl = 0, show that the number of

independent components is reduced to 20.

Here we just have to do some counting. For a general rank-4 tensor in four dimensions, since each index can take any of four possible values, the number of independent components is simply

independent components = 44 = 256 Taking into account the first symmetry relation, the first part

Riklm = −Rikml

indicates that the Riemann tensor is antisymmetric when the last pair of indices is switched. Thinking of the last pair of indices as specifying a 4×4 antisymmetric matrix, this means instead of having 42 = 16 independent elements, we actually

only have 12(4)(3) = 6 independent choices for the last index pair (this is the number of elements in an antisymmetric 4 × 4 matrix). Similarly, the second part of the first symmetry relation

Riklm = −Rkilm

indicates that the Riemann tensor is antisymmetric in the first pair of indices. As a result, the same argument gives only 6 independent choices for the first index pair. This accounts for

independent components = 6 · 6 = 36 We are now able to handle the second condition

Riklm = Rlmik

By now, it should be obvious that this statement indicates that the Riemann tensor is symmetric when the first index pair is interchanged with the second

(3)

index pair. The counting of independent components is then the same as that for a 6 × 6 symmetric matrix. This gives

independent components = 12(6)(7) = 21

Finally, the last identity is perhaps the trickiest to deal with. As indicated in the note, this only gives additional information when all four indices are different. Setting iklm to be 0123, this gives

R0123+ R0231+ R0312= 0 (1)

As a result, this can be used to remove one more component, leading to independent components = 21 − 1 = 20

We can, of course, worry that a different combination of iklm (say 1302 or some-thing like that) will give further relations that can be used to remove additional components. However, this is not the case, as can be seen by applying the first to relations.

Note that it is an interesting exercise to count the number of independent com-ponents in the Riemann tensor in d dimensions. The result is

independent components for d dimensions = 121 d2(d2− 1)

Putting in d = 4 yields the expected 20. However, it is fun to note that putting in d = 1 gives 0 (you cannot have curvature in only one dimension) and putting in d = 2 gives 1 (there is exactly one independent measure of curvature in two dimensions).

2.9.6 a) Show that the inertia tensor (matrix) of Section 3.5 may be written Iij = m(r2δij − xixj) [typo corrected!]

for a particle of mass m at (x1, x2, x3).

Note that, for a single particle, the inertia tensor of Section 3.5 is specified as Ixx = m(r2− x2), Ixy = −mxy, etc

Using i = 1, 2, 3 notation, this is the same as indicating

Iij =

 m(r2− x2

i) i = j

(4)

We can enforce the condition i = j by using the Kronecker delta, δij. Similarly,

the condition i 6= j can be enforced by the ‘opposite’ expression 1 − δij. This

means we can write

Iij = m(r2− x2i)δij − mxixj(1 − δij) (no sum)

distributing the factors out, and noting that it is safe to set xixjδij = x2iδij, we

end up with

Iij = mr2δij − mx2iδij− mxixj + mx2iδij = m(r2δij− xixj)

Note that there is a typo in the book’s version of the homework exercise! b) Show that

Iij = −MilMlj = −milkxkljmxm

where Mil = m1/2ilkxk. This is the contraction of two second-rank tensors and

is identical with the matrix product of Section 3.2. We may calculate

−MilMlj = −milkxkljmxm = −mlkiljmxkxm

Note that the product of two epsilons can be re-expressed as

lkiljm = δkjδim− δkmδij (2)

This is actually the BAC–CAB rule in index notation. Hence

−MilMlj = −m(δkjδim− δkmδij)xkxm= −m(δkjxkδimxm− δkmxkxmδij)

= −m(xjxi− xkxkδij) = m(r2δij − xixj) = Iij

Note that we have used the fact that xkxk = x21+ x22+ x23 = r2.

2.9.12 Given Ak = 12ijkBij with Bij = −Bji, antisymmetric, show that

Bmn= mnkAk

Given Ak = 12ijkBij, we compute

mnkAk = 12mnkkijBij = 12kmnkijBij = 12(δmiδnj − δmjδni)Bij

= 12(Bmn− Bnm) = Bmn

(5)

2.10.6 Derive the covariant and contravariant metric tensors for circular cylindrical coordi-nates.

There are several ways to derive the metric. For example, we may use the relation between Cartesian and cylindrical coordinates

x = ρ cos ϕ, y = ρ sin ϕ, z = z (3)

to compute the differentials

dx = dρ cos ϕ − ρ sin ϕ dϕ, dy = dρ sin ϕ + ρ cos ϕ dϕ, dz = dz The line element is then

ds2 = dx2 + dy2+ dz2 = (dρ cos ϕ − ρ sin ϕ dϕ)2+ (dρ sin ϕ + ρ cos ϕ dϕ)2+ dz2 = dρ2+ ρ2dϕ2+ dz2

Since ds2 = g

ijdxidxj [where (x1, x2, x3) = (ρ, ϕ, z)] we may write the covariant

metric tensor (matrix) as

gij =   1 0 0 0 ρ2 0 0 0 1   (4)

Alternatively, the metric is given by gij = ~ei· ~ej where the basis vectors are

~ ei =

∂~r ∂xi

Taking partial derivatives of (3), we obtain ~ eρ = ˆx cos ϕ + ˆy sin ϕ ~ eϕ = ρ(−ˆx sin ϕ + ˆy cos ϕ) ~ez = ˆz Then

gρρ = ~eρ· ~eρ = (ˆx cos ϕ + ˆy sin ϕ) · (ˆx cos ϕ + ˆy sin ϕ) = cos2ϕ + sin2ϕ = 1

gρϕ = ~eρ· ~eϕ = (ˆx cos ϕ + ˆy sin ϕ) · ρ(−ˆx sin ϕ + ˆy cos ϕ)

= ρ(− cos ϕ sin ϕ + sin ϕ cos ϕ) = 0 etc . . .

The result is the same as (4).

The contravariant components of the metric is given by the matrix inverse of (4)

gij =   1 0 0 0 ρ−2 0 0 0 1   (5)

(6)

2.10.11 From the circular cylindrical metric tensor gij calculate the Γkij for circular cylindrical

coordinates.

We may compute the Christoffel components using the expression Γijk = 12(∂kgij + ∂jgik− ∂igjk)

However, instead of working out all the components one at a time, it is more effi-cient to examine the metric (4) and to note that the only non-vanishing derivative is

∂ρgϕϕ = 2ρ

This indicates that the only non-vanishing Christoffel symbols Γijk are the ones

where the three indices ijk are some permutation of ρϕϕ. It is then easy to see that

Γρϕϕ = −ρ, Γϕρϕ = Γϕϕρ = ρ

Finally, raising the first index using the inverse metric (5) yields Γρϕϕ = −ρ, Γϕρϕ= Γϕϕρ=

1

ρ (6)

Note that the Christoffel symbols are symmetric in the last two indices. 2.10.12 Using the Γk

ij from Exercise 2.10.11, write out the covariant derivatives Vi;j of a

vector ~V in circular cylindrical coordinates.

Recall that the covariant derivative of a contravariant vector is given by Vi;j = Vi,j + ΓijkVk

where the semi-colon indicates covariant differentiation and the comma indicates ordinary partial differentiation. To work out the covariant derivative, we just have to use (6) for the non-vanishing Christoffel connections. The result is

Vρ;ρ= Vρ,ρ+ ΓρρkVk = Vρ,ρ Vϕ;ρ= Vϕ,ρ+ ΓϕρkVk = Vϕ,ρ+ ΓϕρϕVϕ = Vϕ,ρ+ 1 ρV ϕ Vz;ρ = Vz,ρ+ ΓzρkVk = Vz,ρ Vρ;ϕ = Vρ,ϕ+ ΓρϕkVk = Vρ,ϕ+ ΓρϕϕVϕ = Vρ,ϕ− ρVϕ Vϕ;ϕ = Vϕ,ϕ+ ΓϕϕkVk = Vϕ,ϕ+ ΓϕϕρVρ = Vϕ,ϕ+ 1 ρV ρ Vz;ϕ = Vz,ϕ+ ΓzϕkVk = Vz,ϕ Vρ;z = Vρ,z + ΓρzkVk = Vρ,z Vϕ;z = Vϕ,z + ΓϕzkVk = Vϕ,z Vz;z = Vz,z + ΓzzkVk = Vz,z

Note that, corresponding to the three non-vanishing Christoffel symbols, only three of the expressions are modified in the covariant derivative.

References

Related documents

Although total labor earnings increase with the unskilled unions’ bargaining power, we can say nothing when the increase in production is due to stronger skilled unions, since

Jika Anda seorang wanita yang sedang membesarkan seorang anak laki-laki alau mempunyai seorang suami, Anda harus: mengerti bahwa walau pun mereka memiliki

Make  changes  to  section  on  agreements  to   reflect  emphasis  of  agreements  in  new

Parr and Shanks [18] classify ERP implementations to three broad categories (comprehensive, middle road, and vanilla) and according to them ERP implementations differ with respect

ter mean to the prototypes computed from the true labels of all the samples. Similar to the semi-supervised scenario, we use a PN trained in the episodic mode as the feature

During the thesis work, I measured six different parameters: the number of emergency processes, hash table entry number, caching replacement policy, cache entry

We also deal with the question whether the inferiority of the polluter pays principle in comparison to the cheapest cost avoider principle can be compensated

Comments This can be a real eye-opener to learn what team members believe are requirements to succeed on your team. Teams often incorporate things into their “perfect team