In the wire frame - Revision history

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← Older revision		Revision as of 19:17, 19 April 2017
Line 1:		Line 1:
−	~~Points of Intersection~~

−	Since the wires are <math>6^{\circ}</math> above the y axis in the x-y plane, we can use a rotation matrix about the z axis, to rotate points and equations into the coordinate system of the wire (x'', y''). There are two types of rotation matrix which are referred to as a passive or active transformation matrices. The passive transformation takes the components of a vector in the first system and finds the components of this vector in a new system. In effect, this type of transformation rotates the coordinate system while leaving the vector stationary. An active transformation matrix uses the original basis vectors to find the basis vectors in the new system. The outcome of this is to in effect rotate the vector to a different coordinate system.
−
−	~~Demonstrating a passive rotation for a point in space we can use the rotation matrix~~
−
−
−
−	~~<math>R(\theta_{xy})=\begin{bmatrix}~~
−	~~cos\ \theta & -sin\ \theta & 0 \\~~
−	~~sin\ \theta & cos\ \theta & 0 \\~~
−	~~0 & 0 & 1~~
−	~~\end{bmatrix}</math>~~
−
−	which corresponds to a counter-clockwise rotation of a positive angle \[Theta] in the x-y plane. In determining that the angle is positive, this dictates the rotation must be from the x towards the y axis in the 1st quadrant. By the orthogonality of the Cartesian coordinates this then gives positive \[Theta] rotations from the y to -x in the 2nd, the -x to the -y in the 3rd, and -y to x axis in the 4th quadrants. This then implies a clockwise rotation from the x to the -y axis with a negative angle in the xy plane, for the 1st and so forth for the remaining quadrants in the x-y plane. Since the even odd properties of the sine and cosine functions with respect to the input angle determine the sign of the function, we find
−
−
−	~~<math>R(-\theta_{xy})=\begin{bmatrix}~~
−	~~cos\ (-\theta) & -sin\ (-\theta) & 0 \\~~
−	~~sin\ (-\theta) & cos\ (-\theta) & 0 \\~~
−	~~0 & 0 & 1~~
−	~~\end{bmatrix}=\begin{bmatrix}~~
−	~~cos\ \theta & sin\ \theta & 0 \\~~
−	~~-sin\ \theta & cos\ \theta & 0 \\~~
−	~~0 & 0 & 1~~
−	~~\end{bmatrix}</math>~~
−
−
−
−
−
−	~~with <math>sin(-\theta)=-sin \theta, cos(-\theta)=cos(\theta)</math>~~
−
−	~~Conversely, a negative rotation can be viewed as a positive rotation of <math>\theta</math> from the y towards the x axis in the 1st quadrant for the y-x plane.~~
−
−
−	~~<math>R(-\theta_{xy})=R(\theta_{yx})=\begin{bmatrix}~~
−	~~cos\ (\theta) & sin\ (\theta) & 0 \\~~
−	~~-sin\ (\theta) & cos\ (\theta) & 0 \\~~
−	~~0 & 0 & 1~~
−	~~\end{bmatrix}</math>~~
−
−	~~This positive rotation will correspond to a counter-clockwise rotation, just as a negative rotation will correspond to a clockwise one in the y-x plane.~~
−
−	~~<math>R(-\theta_{yx})=\begin{bmatrix}~~
−	~~cos\ (\theta) & -sin\ (\theta) & 0 \\~~
−	~~sin\ (\theta) & cos\ (\theta) & 0 \\~~
−	~~0 & 0 & 1~~
−	~~\end{bmatrix}</math>~~
−
−	~~Checking with the geometry, we find for a counter-clockwise rotation in the y-x plane:~~
−
−	~~[[File:Q1xComp.png]]~~
−
−	~~[[File:Q1yComp.png]]~~
−
−
−	~~For the 1st quadrant, <math>R(-\theta_{xy})=R(\theta_{yx})=\begin{bmatrix}~~
−	~~cos\ (\theta) & sin\ (\theta) & 0 \\~~
−	~~-sin\ (\theta) & cos\ (\theta) & 0 \\~~
−	~~0 & 0 & 1~~
−	\end{bmatrix}</math> as expected for a positive <math>\theta</math> rotation from y to x axis in the y-x plane. Again, this corresponds to a negative <math>\theta</math> in the x-y plane, with <math>R(-\theta_{yx})=\begin{bmatrix}
−	~~cos\ (\theta) & -sin\ (\theta) & 0 \\~~
−	~~sin\ (\theta) & cos\ (\theta) & 0 \\~~
−	~~0 & 0 & 1~~
−	~~\end{bmatrix}</math>~~
−
−	~~For the 4th quadrant, where y is negative,~~
−
−
−	~~[[File:Q2xComp.png]]~~
−
−	~~[[File:Q2yComp.png]]~~
−
−
−	~~<math>R(-\theta_{xy})=R(\theta_{yx})=\begin{bmatrix}~~
−	~~cos\ (\theta) & sin\ (\theta) & 0 \\~~
−	~~-sin\ (\theta) & cos\ (\theta) & 0 \\~~
−	~~0 & 0 & 1~~
−	\end{bmatrix}</math> as expected for a positive <math>\theta</math> rotation from x to -y axis in the y-x plane. Again, this corresponds to a negative <math>\theta</math> in the x-y plane, with <math>R(-\theta_{yx})=\begin{bmatrix}
−	~~cos\ (\theta) & -sin\ (\theta) & 0 \\~~
−	~~sin\ (\theta) & cos\ (\theta) & 0 \\~~
−	~~0 & 0 & 1~~
−	~~\end{bmatrix}</math>~~

@@ Line 51: / Line 51: @@
 Checking with the geometry, we find for a counter-clockwise rotation in the y-x plane:
-[[File:Example.jpg]]
+[[File:Q1xComp.png]]
-[[File:Example.jpg]]
+[[File:Q1yComp.png]]
-	For the 1st quadrant, R(Subscript[\[Theta], yx])=(cos \[Theta]	-sin \[Theta]	0
+	For the 1st quadrant, <math>R(-\theta_{xy})=R(\theta_{yx})=\begin{bmatrix}
-sin \[Theta]	cos \[Theta]	0
+cos\ (\theta) & sin\ (\theta) & 0 \\
-	0	1
+-sin\ (\theta) & cos\ (\theta) & 0 \\
+& 0 & 1
-) as expected for a positive \[Theta] rotation from y to x axis in the y-x plane.  Again, this corresponds to a negative \[Theta] in the x-y plane, with R(-Subscript[\[Theta], xy])=(cos \[Theta]	sin \[Theta]	0
+\end{bmatrix}</math> as expected for a positive <math>\theta</math> rotation from y to x axis in the y-x plane.  Again, this corresponds to a negative <math>\theta</math> in the x-y plane, with <math>R(-\theta_{yx})=\begin{bmatrix}
--sin \[Theta]	cos \[Theta]	0
+cos\ (\theta) & -sin\ (\theta) & 0 \\
-	0	1
+sin\ (\theta) & cos\ (\theta) & 0 \\
+& 0 & 1
-).
+\end{bmatrix}</math>
 For the 4th quadrant, where y is negative,
-[[File:Example.jpg]]
+[[File:Q2xComp.png]]
-R(Subscript[\[Theta], yx])=(cos \[Theta]	-sin \[Theta]	0
+[[File:Q2yComp.png]]
-).
+<math>R(-\theta_{xy})=R(\theta_{yx})=\begin{bmatrix}

← Older revision		Revision as of 19:11, 19 April 2017
Line 50:		Line 50:

	Checking with the geometry, we find for a counter-clockwise rotation in the y-x plane:		Checking with the geometry, we find for a counter-clockwise rotation in the y-x plane:
		+
		+	[[File:Example.jpg]]
		+
		+	[[File:Example.jpg]]
		+
		+
		+	For the 1st quadrant, R(Subscript[\[Theta], yx])=(cos \[Theta] -sin \[Theta] 0
		+	sin \[Theta] cos \[Theta] 0
		+	0 0 1
		+
		+	) as expected for a positive \[Theta] rotation from y to x axis in the y-x plane. Again, this corresponds to a negative \[Theta] in the x-y plane, with R(-Subscript[\[Theta], xy])=(cos \[Theta] sin \[Theta] 0
		+	-sin \[Theta] cos \[Theta] 0
		+	0 0 1
		+
		+	).
		+
		+
		+	For the 4th quadrant, where y is negative,
		+
		+
		+	[[File:Example.jpg]]
		+
		+	[[File:Example.jpg]]
		+
		+
		+	R(Subscript[\[Theta], yx])=(cos \[Theta] -sin \[Theta] 0
		+	sin \[Theta] cos \[Theta] 0
		+	0 0 1
		+
		+	) as expected for a positive \[Theta] rotation from x to -y axis in the y-x plane. Again, this corresponds to a negative \[Theta] in the x-y plane, with R(-Subscript[\[Theta], xy])=(cos \[Theta] sin \[Theta] 0
		+	-sin \[Theta] cos \[Theta] 0
		+	0 0 1
		+
		+	).

@@ Line 37: / Line 37: @@
 <math>R(-\theta_{xy})=R(\theta_{yx})=\begin{bmatrix}
 cos\ (\theta) & sin\ (\theta) & 0 \\
--sin\ (-theta) & cos\ (\theta) & 0 \\
+-sin\ (\theta) & cos\ (\theta) & 0 \\
 & 0 & 1
 \end{bmatrix}</math>
@@ Line 43: / Line 43: @@
 This positive rotation will correspond to a counter-clockwise rotation, just as a negative rotation will correspond to a clockwise one  in the y-x plane.
-	R(Subscript[\[Theta], yx])=(cos \[Theta]	-sin \[Theta]	0
+<math>R(-\theta_{yx})=\begin{bmatrix}
-sin \[Theta]	cos \[Theta]	0
+cos\ (\theta) & -sin\ (\theta) & 0 \\
-	0	1
+sin\ (\theta) & cos\ (\theta) & 0 \\
+& 0 & 1
+\end{bmatrix}</math>
 Checking with the geometry, we find for a counter-clockwise rotation in the y-x plane:

@@ Line 8: / Line 8: @@
 <math>R(\theta_{xy})=\begin{bmatrix}
-cos \theta & -sin \theta & 0 \\
+cos\ \theta & -sin\ \theta & 0 \\
-sin \theta & cos \theta & 0 \\
+sin\ \theta & cos\ \theta & 0 \\
 & 0 & 1
 \end{bmatrix}</math>
@@ Line 17: / Line 17: @@
 <math>R(-\theta_{xy})=\begin{bmatrix}
-cos (-\theta) & -sin (-\theta) & 0 \\
+cos\ (-\theta) & -sin\ (-\theta) & 0 \\
-sin (-\theta) & cos (-\theta) & 0 \\
+sin\ (-\theta) & cos\ (-\theta) & 0 \\
 & 0 & 1
 \end{bmatrix}=\begin{bmatrix}
-cos \theta & sin \theta & 0 \\
+cos\ \theta & sin\ \theta & 0 \\
--sin \theta & cos \theta & 0 \\
+-sin\ \theta & cos\ \theta & 0 \\
 & 0 & 1
 \end{bmatrix}</math>
@@ Line 34: / Line 34: @@
 Conversely, a negative rotation can be viewed as a positive rotation of <math>\theta</math> from the y towards the x axis in the 1st quadrant for the y-x plane.
+<math>R(-\theta_{xy})=R(\theta_{yx})=\begin{bmatrix}
 This positive rotation will correspond to a counter-clockwise rotation, just as a negative rotation will correspond to a clockwise one  in the y-x plane.

@@ Line 5: / Line 5: @@
 Demonstrating a passive rotation for a point in space we can use the rotation matrix
 <math>R(\theta_{xy})=\begin{bmatrix}
@@ Line 19: / Line 15: @@
 which corresponds to a counter-clockwise rotation of a positive angle \[Theta] in the x-y plane.  In determining that the angle is positive, this dictates the rotation must be from the x towards the y axis in the 1st quadrant.  By the orthogonality of the Cartesian coordinates this then gives positive \[Theta] rotations from the  y to -x in the 2nd, the -x to the -y in the 3rd, and -y to x axis in the 4th quadrants. This then implies a clockwise rotation from the x to the -y axis with a negative angle in the xy plane, for the 1st and so forth for the remaining quadrants in the x-y plane.  Since the even odd properties of the sine and cosine functions with respect to the input angle determine the sign of the function, we find
-) =(cos (\[Theta])	sin (\[Theta])	0
+<math>R(-\theta_{xy})=\begin{bmatrix}
--sin (\[Theta])	cos (\[Theta])	0
+cos (-\theta) & -sin (-\theta) & 0 \\
-	0	1
+sin (-\theta) & cos (-\theta) & 0 \\
-	with sin(-\[Theta])=-sin \[Theta], cos(-\[Theta])=cos(\[Theta])
+	with <math>sin(-\theta)=-sin \theta, cos(-\theta)=cos(\theta)</math>
-Conversely, a negative rotation can be viewed as a positive rotation of \[Theta] from the y towards the x axis in the 1st quadrant for the y-x plane.
+Conversely, a negative rotation can be viewed as a positive rotation of <math>\theta</math> from the y towards the x axis in the 1st quadrant for the y-x plane.
 	R(-Subscript[\[Theta], xy])=R(Subscript[\[Theta], yx])=(cos \[Theta]	sin \[Theta]	0

@@ Line 1: / Line 1: @@
 Points of Intersection
-Since the wires are <math>6^\{circ}</math> above the y axis in the x-y plane, we can use a rotation matrix about the z axis, to rotate points and equations into the coordinate system of the wire (x'', y'').  There are two types of rotation matrix which are referred to as a passive or active transformation matrices.  The passive transformation takes the components of a vector in the first system and finds the components of this vector in a new system.  In effect, this type of transformation rotates the coordinate system while leaving the vector stationary.  An active transformation matrix uses the original basis vectors to find the basis vectors in the new system.  The outcome of this is to in effect rotate the vector to a different coordinate system.
+Since the wires are <math>6^{\circ}</math> above the y axis in the x-y plane, we can use a rotation matrix about the z axis, to rotate points and equations into the coordinate system of the wire (x'', y'').  There are two types of rotation matrix which are referred to as a passive or active transformation matrices.  The passive transformation takes the components of a vector in the first system and finds the components of this vector in a new system.  In effect, this type of transformation rotates the coordinate system while leaving the vector stationary.  An active transformation matrix uses the original basis vectors to find the basis vectors in the new system.  The outcome of this is to in effect rotate the vector to a different coordinate system.
 Demonstrating a passive rotation for a point in space we can use the rotation matrix