MLA 2-D Mapping

An Approach to Matrix & Linear Algebra

by Frank C. Fung ( 1st published in November, 2004. )

Top Of Page

Appendix B : 2-Dimensional Planar Mapping :

Topic IIntroduction & Summary for this Appendix
Topic IISetting up the Planar Mapping
Topic IIIA First Analysis
Topic IVFinding the Maximum
Topic VWhen { Beta } is [ 90 degrees ]

Topic I - Introduction & Summary for this Appendix :

This Appendix attempts to find the maximum when a { unit circle } is mapped onto an { ellipse } in a 2-Dimensional ( 2-D ) { linear mapping } process.

go to Top Of Page

Topic II - Setting up the Planar Mapping :

Let us look at this Planar Mapping :

where :

are mapped onto :

Let the point, { } , be any point on the { unit circle } , in { Reference Frame B } on-the-right :

such that :

This { unit-vector } , in { Reference Frame B } on-the-right, is then mapped onto the vector { } in { Reference Frame A } on-the-left :

go to Top Of Page

Topic III - A First Analysis :

Let us now introduce a pair of orthogonal { unit-vectors } , & respectively, in { Reference Frame A } on-the-left , as per this diagram below :

such that :

Let us now introduce the scalar values { } , { } and { } respectively, such that :

We can then write :

Let us recall, from above, that :

Substituting therein then yields :

Further yielding :

We can then write the following equation for the value of :

Consolidating terms then yields :

go to Top Of Page

Topic IV - Finding the Maximum :

Let us now try to determine the value of { } such that the value { } is maximized.

We then take the { 1st derivative } of with respect to { } :

yielding :

And finally :

We can then set this { 1st derivative } equal to [ zero ] to find the maximum , i.e. setting :

yielding :

And we come up with this relation to find the value of { } at the maximum :

go to Top Of Page

Topic V - When { Beta } is [ 90 degrees ] :

We note here that when is exactly { 90 degrees } , or { 270 degrees } , then :

Otherwise, i.e. for values of not equal to { 90 degrees } , { 270 degrees } , or equivalent , the value of cannot be { 0 degrees } or { a multiple of 90 degrees } .

go to Top Of Page

go to back to Section 2 before branching here

go to back to Section 6 before branching here

return to FCF's Matrix & Linear Algebra HomePage

original dated 2004-11-15