Tensor Analysis: quadric, bases, MOI, bisectors

In summary: To show that a_ij is a rank 2 tensor, we can use the definition of a tensor, which is a multilinear map. This means that the tensor is linear in each of its inputs. Therefore, we can write the tensor as a sum of products of the form a_ij * x_i * x_j. Since each of these terms is linear in both x_i and x_j, we can conclude that the tensor is a rank 2 tensor.
  • #1
domath
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Homework Statement



1) Let e, e' be two orthonormal bases(not necessarily the standard basis). Prove that the matrix S = [Id]e-e' (direct transformation from e to e') is orthogonal, i.e. SS^T = S^TS = [Id]_3. SS^T is S * S transpose.

2) The moment of inertia tensor of a right circular cylinder with respect to the axes passing through its center of mass(the x_3-axis is parallel to the generators) is of the form

||I_ik|| = ||I_0, 0, 0; 0, I_0, 0; 0, 0, I_1||

Find the moment of inertia of the cylinder about the bisectors of the angles between the various coordinate axes.

3) Prove that the matrix a_ij is a rank 2 tensor, where Q is a quadric given in Euclidean coordinates by the equation

summation_ij (a_ij * x_i * x_j) = 1

Homework Equations


The Attempt at a Solution


1) S = S reciprocal? [Id]e-e' = (e'^T)*(e)
2) No clue.
3) More info needed?
 
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  • #2


1) To prove that the matrix S is orthogonal, we need to show that SS^T = S^TS = [Id]_3.
First, let's calculate SS^T:
SS^T = [Id]e-e' * [Id]e-e'^T
= (e'^T)*(e) * (e'^T)*(e)
= (e'^T)*(e')
= [Id]_3
Therefore, SS^T = [Id]_3.

Next, let's calculate S^TS:
S^TS = [Id]e-e'^T * [Id]e-e'
= (e)*(e'^T) * (e)*(e'^T)
= (e)*(e')
= [Id]_3
Therefore, S^TS = [Id]_3.

Since both SS^T and S^TS equal [Id]_3, we can conclude that S is an orthogonal matrix.

2) To find the moment of inertia of the cylinder about the bisectors of the angles between the various coordinate axes, we can use the parallel axis theorem. This theorem states that the moment of inertia about a parallel axis is equal to the moment of inertia about the center of mass plus the product of the mass and the square of the distance between the two axes.

In this case, the moment of inertia about the bisectors of the angles between the various coordinate axes will be equal to the moment of inertia about the center of mass (which is given in the problem as ||I_0, 0, 0; 0, I_0, 0; 0, 0, I_1||) plus the product of the mass and the square of the distance between the two axes.

Since the distance between the two axes is equal to the radius of the cylinder, we can write the moment of inertia as:
||I_ik|| = ||I_0, 0, 0; 0, I_0, 0; 0, 0, I_1|| + mr^2

3) To prove that the matrix a_ij is a rank 2 tensor, we first need to understand what a rank 2 tensor is. A rank 2 tensor is a linear transformation that takes in two vectors and produces a scalar. In this case, the tensor a_ij takes in two vectors x_i
 

Related to Tensor Analysis: quadric, bases, MOI, bisectors

1. What is the difference between a quadric and a basis in tensor analysis?

A quadric is a mathematical surface that can be described by a second degree polynomial equation in three-dimensional space. It is used to represent different shapes such as spheres, ellipsoids, and hyperboloids. A basis, on the other hand, is a set of linearly independent vectors that can be used to represent any vector in a given vector space. In tensor analysis, a quadric can be defined by a basis of eigenvectors of the quadric's associated matrix.

2. How is the moment of inertia (MOI) related to tensor analysis?

MOI is a measure of an object's resistance to rotational motion. In tensor analysis, MOI is represented by a tensor, which is a mathematical object that can represent physical quantities such as force, momentum, and stress. The MOI tensor is used to calculate the distribution of mass in an object and its orientation in space.

3. What is the significance of bisectors in tensor analysis?

Bisectors are lines or planes that divide an object into two equal parts. In tensor analysis, bisectors are used to determine the principal axes of a quadric, which are the directions along which the quadric has the highest and lowest MOI values. The bisectors also help in determining the orientation of an object in space.

4. How can tensor analysis be applied in engineering and physics?

Tensor analysis has various applications in engineering and physics. It is used in structural analysis to determine the stress and strain distribution in materials. In fluid mechanics, tensors are used to describe the flow of fluids and calculate quantities such as velocity and pressure. In electromagnetism, tensors are used to represent the electric and magnetic fields. Overall, tensor analysis is a powerful tool for analyzing and solving problems in various fields of science and engineering.

5. Are there any real-world examples of tensor analysis being used?

Yes, tensor analysis is used in many real-world applications. For instance, in aerospace engineering, tensors are used to model the behavior of materials under extreme conditions, such as in the design of aircraft and spacecraft. In robotics, tensors are used to calculate the motion and forces of robotic arms and joints. In geology, tensors are used to analyze the deformation of rocks and predict earthquakes. These are just a few examples, and tensor analysis is widely used in many other fields.

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