Note that it is very important that the vector is a unit vector.
													
																	Rotation around x axis matrix. 
									
	
		
	
																	The formula creates a rotation matrix around an axis defined by the unit vector by an angle using a very simple equation. 
																	Because we have the special case that p lies on the x axis we see that x. 
																	In sum the three elemental rotations occur about z x and z. 
																	Where is the identity matrix and is a matrix given by the components of the unit vector. 
															
													
									
	
		
	
																	When acting on a matrix each column of the matrix represents a different vector. 
																	A rotation in the x y plane by an angle θ measured counterclockwise from the positive x axis is represented by the real 2 2 special orthogonal matrix 2 cosθ sinθ sinθ cosθ. 
																	But the other thing is if you think about it a lot of the rotations that you might want to do in r3 can be described by a rotation around the x axis first which we did in this video then by rotation around the y axis and then maybe some rotation around the z axis. 
																	If we consider this rotation as occurring in three dimensional space then it can be described as a counterclockwise rotation by an angle θ about the z axis. 
															
													
									
	
		
	
																	X axis second at the two dimensional rotation of an arbitrary point and finally we conclude with the desired result of 3d rotation around a major axis. 
																	This is just a special case where we re dealing with rotation around the x. 
																	2d rotation of a point on the x axis around the origin the goal is to rotate point p around the origin with angle α. 
																	If we take the point x 1 y 0 this will rotate to the point x cos a y sin a if we take the point x 0 y 1 this will rotate to the point x sin a y cos a 3d rotations. 
															
													
									
	
		
	
																	The xyz system rotates again about the x axis by β. 
																	Is given by the following matrix. 
																	The x axis is now at angle γ with respect to the x axis. 
																	The z axis is now at angle β with respect to the z axis. 
															
													
									
	
		
	
																	In linear algebra a rotation matrix is a matrix that is used to perform a rotation in euclidean space for example using the convention below the matrix rotates points in the xy plane counterclockwise through an angle θ with respect to the x axis about the origin of a two dimensional cartesian coordinate system to perform the rotation on a plane point with standard. 
																	The xyz system rotates a third time about the z axis by α. 
																	For the rotation matrix r and vector v the rotated vector is given by r v. 
																	Rotation about the z axis.