Explaining Coordinate Rotation in Arfken & Weber Chapter 1

In summary, the authors of Mathematical Methods for Physicists, 6th Edition, explain that for a set of coordinates to represent a vector, its components must transform in the same way as the coordinates themselves. If the components do not show this form invariance when the coordinates are rotated, they do not form a vector. This concept is further illustrated with examples such as elastic constants and the index of refraction in isotropic crystals.
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In Mathematical Methods for Physicists, 6th Edition, by Arfken and Weber, Chapter 1 Vector Analysis, pages 8-9, the authors make the following statement:

"If Ax and Ay transform in the same way as x and y, the components of the general two-dimensional coordinate vector r, they are the components of a vector A. If Ax and Ay do not show this form invariance (also called covariance) when the coordinates are rotated, they do not form a vector."

I understand how to use equations (1.9) and their derivations, but could anyone please explain the above statement?

Thank you so much for your help...
 
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sams said:
In Mathematical Methods for Physicists, 6th Edition, by Arfken and Weber,
For those interested, this edition of the book is available online as a PDF - perhaps legally?

Chapter 1 Vector Analysis, pages 8-9, the authors make the following statement:

"If Ax and Ay transform in the same way as x and y, the components of the general two-dimensional coordinate vector r, they are the components of a vector A. If Ax and Ay do not show this form invariance (also called covariance) when the coordinates are rotated, they do not form a vector."

I find that passage to be confusing. Here's my guess at what it means: Suppose some physical phenomenon is assigned cartesian coordinates ##(A_x,A_y)## and has coordinates ##(A'_x, A'_y)## in a rotated coordinate system. Is the physical phenomenon a vector? The passage says that if ##(A'_x, A'_y)## can be computed from ##(A_x,A_y)## in the same way we would compute the new coordinates for a geometric point ##(A_x,A_y)## in a rotated coordinate system then the phenomenon is a vector.

For that passage to have significance, you must be able to imagine that there physical phenomenon described by two numbers ##(A_x,A_y)## whose coordinates in a rotated coordinate system cannot be computed by imagining ##(A_x,A_y)## to be the cartesian coordinates of a point and computing the new coordinates as we would compute the new coordinates for a geometric point.

Examples the authors give for such phenomena are "elastic constants" and "the index of refraction in isotropic crystals". Perhaps experts on those topics can elaborate.

If there is a phenomenon with a "magnitude and direction", it is tempting to think that it must be a vector and that it can be represented as an arrow from the origin of a cartesian coordinate system to some point in the coordinate system. The book says such a representation doesn't work for some phenomena.
 
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FAQ: Explaining Coordinate Rotation in Arfken & Weber Chapter 1

1. What is coordinate rotation?

Coordinate rotation is the process of changing the orientation of a coordinate system in such a way that the axes are aligned with different directions.

2. Why is coordinate rotation important?

Coordinate rotation is important because it allows us to simplify and solve problems in various fields such as mathematics, physics, and engineering. It also helps us to visualize and understand complex systems and relationships.

3. How is coordinate rotation explained in Arfken & Weber Chapter 1?

In Arfken & Weber Chapter 1, coordinate rotation is explained using a geometric approach, where rotations are represented by matrices and vectors. The concept is also demonstrated through examples and exercises to help readers understand and visualize the concept better.

4. What are some common applications of coordinate rotation?

Coordinate rotation has many applications in different fields. Some common examples include celestial navigation, computer graphics, robotics, and mechanics. It is also used in solving physical problems involving rotations and transformations.

5. How does coordinate rotation relate to other mathematical concepts?

Coordinate rotation is closely related to other mathematical concepts such as linear algebra, trigonometry, and geometry. It is a fundamental concept in understanding transformations, rotations, and vector operations. It is also used in solving differential equations and in the study of complex numbers.

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