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Write and prove in tensor notation:

(a) Chapter 6, Problem 3.13.

(b) Chapter 6, Problem 3.14.

(c) Lagrange’s identity:(A×B)·(C×D)=(A·C)(B·D)-(A·D)(B·C).

(d), role="math" localid="1659335462905" (A×B)(C×D)=(ABD)C-(ABC)Dwhere the symbol(xyz) means the triple scalar product of the three vectors.

Short Answer

Expert verified

(a) The equation 3.13, i.e.,A×B·B×C×C×Z=A·B×C2

(b) The equation 3.14, i.e.,A×B×C+C×A+C×A×B=0

(c) Lagrange’s identity:A×B·C×D=A·CB·D-A·DB·C

(d) The equation required, i.e.,.A×B×C×D=ABDC-ABCD·

Step by step solution

01

Given Information

The equation 5·8, i.e.,role="math" localid="1659336734341" o,ijko,imn=SjmSkn-SjnSkm

The equation ,5.9 i.e., .role="math" localid="1659337040545" o,abco,pqb=o,bcao,bpq=ScpSaq-ScqSap.

02

Definition of Triple Scalar Product.

The dot product of one of the vectors with the cross product of the other two is known as the triple scalar product.

03

 Step 3: (a) Prove that (A×B)·(B×C×C×A)=(A·B×C)2

Solve for (a).

A×B·B×C×C×A=o,ijkA×BiB×CjC×AK=o,ijko,imuno,j+okj˩AmBnBICrCpAq=SjmSkm-SjnSkmo,jIro,kpqAmBnBICrCpAq=o,mIro,nqqo,nl+o,mwpAmBnBICrCpAq

Simplify further,
=o,mirAmBICro,mepAvBnCp-o,nirAnBICro,mupAreBpCq=A·B×C2

The equation ,3.13 i.e.,A×B·B×C×C×A×C×A=A·B×C2

04

(b) Prove thatA×(B×C)+B×(C×A)+C×(A×B)=0

Solve for (b).

A×B×C+B×C×A+C×A×B=A·CB-A·BC+B·AC-B·CA+C·B-C·AB=0

The equation ,3.14i.e., A×B×C+B×C×A+C×A×B=0

05

(c) Prove that(A×B)·(C×D)=(A·C)(B·D)-(A·D)(B·C)

Solve for (c).

A×B·C×D=A×Bic×di=o,ijkAjBkCnDm-SknSjmAjBkCnDm=o,mirAmBICro,mepAvBnCp-o,nirBnBICro,mupAreBpCq

On further simplification,

A×B·C×D=AjBkCjDK-AjBkCkDj=A·CB·D-A·DB·C

Lagrange’s identity:A×B·C×D=A·CB·D-A·DB·C

06

(d) Prove that(A×B)×(C×D)=(ABD)C-(ABC)D

Solve for (d).

A×BC×Di=o,ojkA×BjC×Dk=o,ijko,jnmo,kpqAnBmCpDq=o,nmjAnBmCjDi-o,nmjAnBmCjDi

Simplify further,

=ABDCi-ABCDi=ABDC-ABCDiA×B×C×D=ABDC-ABCD

Hence, the equation required, i.e., A×B×C×D=ABDC-ABCD.

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Most popular questions from this chapter

In equation(10.13),let the variables be rectangular coordinates x, y, z, and let x1,x2,x3 , be general curvilinear coordinates, orthogonal or not (see end of Section 8 ). Show that JTJ is the gijmatrix in(8.13) [or in (8.16) for an orthogonal system]. Thus show that the volume element in a general coordinate system is dV=gdx1dx2dx3 whereg=detgij , and that for an orthogonal system, this becomes [by (8.16) or (10.19) ], dV=h1h2h3dx1dx2dx3. Hint: To evaluate the products of partial derivatives in JTJ, observe that the same expressions arise as in finding ds2 . In fact, from (8.11) and (8.12) , you can show that row i times column j in JTJ is just ai.aj=gij in equations (8.11) to (8.14) .

Interpret the elements of the matrices in Chapter 3, Problems 11.18 to11.21, as components of stress tensors. In each case diagonalize the matrix and so find the principal axes of the stress (along which the stress is pure tension or compression). Describe the stress relative to these axes. (See Example 1.)

Do Problem 5 for the coordinate systems indicated in Problems 10 to 13. Parabolic.

Consider the matrix A in(2.7)or(2.10) .Think of the elements in each row (or column) as the components of a vector. Show that the row vectors form an orthonormal triad (that is each is of unit length and they are all mutually orthogonal), and the column vectors form an orthonormal triad.

As in problem 6, show that the sum of two 2nd-rank tensors is a 2nd-rank tensor; that the sum of two 4th-rank tensors is a 4th-rank tensor.

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