Change of Coordinate Systems

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Many other such transformations exist and are useful throughout mathematics, such as mapping the points in a disk to a rectangle.
Many other such transformations exist and are useful throughout mathematics, such as mapping the points in a disk to a rectangle.
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|ImageDesc= Some of these mappings can be neatly represented by [[vectors]] and matrices, in the form
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|ImageDesc= Some of these mappings can be neatly represented by [[Vector|vectors]] and matrices, in the form
<math> A\vec{x}=\vec{x'} </math>
<math> A\vec{x}=\vec{x'} </math>
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Where <math> \vec{x}</math> is the <balloon title="A vector for which each components represents a coordinates">coordinate vector</balloon> of our point in the original coordinate system and <math> \vec{x'} </math> is the coordinate vector of our point in the new coordinate system.
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Where <math> \vec{x}</math> is the <balloon title="A vector for which each component represents a coordinate.">coordinate vector</balloon> of our point in the original coordinate system and <math> \vec{x'} </math> is the coordinate vector of our point in the new coordinate system.
For example the transformation in the basic description, doubling the value of the x-coordinate, is represented in this notation by
For example the transformation in the basic description, doubling the value of the x-coordinate, is represented in this notation by

Revision as of 11:30, 12 June 2009

Image:inprogress.png
Change of Coordinates
Field: Algebra
Created By: Brendan John
Website: [ ]

Change of Coordinates

The same object, here a circle, can look completely different depending on which coordinate system is used.


Basic Description

It is a common practice in mathematics to use different coordinate systems to solve different problems. An example of a switch between coordinate systems follows: suppose we take a set of points in regular x-y Cartesian Coordinates, represented by ordered pairs such as (1,2), then multiply their x-components by two, meaning (1,2) in the old coordinates is matched with (2,2) in the new coordinates.

Under this transformation, a set of points would become stretched in the horizontal x-direction since each point becomes further from the vertical y-axis (except for points originally on the y-axis, which remain on the axis). A set of points that was originally contained in a circle in the old coordinates would be contained by a stretched-out ellipse in the new coordinate system, as shown in the top two figures of this page's main image.

Many other such transformations exist and are useful throughout mathematics, such as mapping the points in a disk to a rectangle.

A More Mathematical Explanation

Some of these mappings can be neatly represented by vectors and matrices, in the form

U [...]

Some of these mappings can be neatly represented by vectors and matrices, in the form

A\vec{x}=\vec{x'}

Where \vec{x} is the coordinate vector of our point in the original coordinate system and \vec{x'} is the coordinate vector of our point in the new coordinate system.

For example the transformation in the basic description, doubling the value of the x-coordinate, is represented in this notation by

\begin{bmatrix} 2 & 0 \\ 0 & 1 \\ \end{bmatrix}\vec{x} = \vec{x'}

As can be easily verified.

The ellipse that is tilted relative to the coordinate axes is created by a combination of rotation and stretching, represented by the matrix

\begin{bmatrix} 2cos(\theta) & -sin(\theta)\\ 2sin(\theta) & cos(\theta) \\ \end{bmatrix}\vec{x} = \vec{x'}

Some very useful mappings cannot be represented in matrix form, such as mapping points from Cartesian Coordinates to Polar Coordinates. Such a mapping, as shown in this page's main image, can map a disk to a rectangle. Each origin-centered ring in the disk consists of points at constant distance from the origin and angles ranging from 0 to 2\pi . These points create a vertical line in Polar Coordinates. Each ring at a different distance from the origin creates its own line in the polar system, and the collection of these lines creates a rectangle.

The transformation from Cartesian coordinates to Polar Coordinate can be represented algebraically by

\begin{bmatrix} r\\ \theta\\ \end{bmatrix} = \begin{bmatrix} \sqrt{x^2 + y^2}\\ \arctan{y/x}\\ \end{bmatrix}




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