A point light source (like an LED) is located at S ( 5 , − 5 , 1 5 ) in a given coordinate frame. A circle C lies completely in the y z - plane, and has its center at ( 0 , 5 , 5 ) and a radius of 5 . The shadow of the circle onto the ground, which is the x y -plane is an ellipse . Find its area A , rounded to 3 decimal places.
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The light rays between the point light source and points on the circle define an oblique cone, with its apex at the light source (point S ), and its base being the given circle C . The shadow is formed by the intersection of the x y -plane with this oblique cone of light rays.
This problem was addressed here .
The solution to that problem (with the necessary modifications) is repeated below for convenience.
Vectors connecting the apex S to points on the base are given by
v ( t ) = ( 0 , 5 cos t + 5 , 5 sin t + 5 ) − ( 5 , − 5 , 1 5 ) = ( − 5 , 1 0 + 5 cos t , − 1 0 + 5 sin t )
All the other points on the surface of the cone are scalar multiples of these vectors plus an offset of the apex coordinates.
We can think of this cone as a linear transformation of another arbitrary standard right circular cone.
Note first that v ( t ) can be written as
v ( t ) = cos t ( 0 , 5 , 0 ) + sin t ( 0 , 0 , 5 ) + ( − 5 , 1 0 , − 1 0 ) = v 1 cos t + v 2 sin t + v 0
An arbitrary standard right circular cone with apex at the origin, and a circular base centered at ( 0 , 0 , − h ) , and radius of base r has the following form of its lateral vectors
u ( t ) = cos t ( r , 0 , 0 ) + sin t ( 0 , r , 0 ) + ( 0 , 0 , − h ) = u 1 cos t + u 2 sin t + u 0
So we can write the vectors ( 0 , 5 , 0 ) , ( 0 , 0 , 5 ) , ( − 5 , 1 0 , − 1 0 ) (which are v 1 , v 2 , v 0 ) as a linear transformation (matrix multiplication) of the vectors ( r , 0 , 0 ) , ( 0 , r , 0 ) , and ( 0 , 0 , − h ) , ( which are u 1 , u 2 , u 0 ). In matrix form, this translates to,
V = A U
where V = [ v 1 v 2 v 0 ] and U = [ u 1 u 2 u 0 ]
The solution for the 3 × 3 matrix A is simply A = V U − 1
For computation, we can take h = 1 , r = 1 . It follows that points on our oblique cone are given by r = r 0 + A r ′ , where r 0 is the apex of the oblique cone, which is the point (5, -5, 15), and r ′ is the position vector of a point on the right circular cone.
Now, we know that the algebraic equation of points on the right circular cone are given by r ′ T Q ′ r ′ = 0 , where for the simple choice that we made of h = 1 , and r = 1 , we have,
Q ′ = ⎣ ⎡ 1 0 0 0 1 0 0 0 − 1 ⎦ ⎤
Substituting for r ′ , we obtain,
( A − 1 ( r − r 0 ) ) T Q ′ ( A − 1 ( r − r 0 ) ) = 0
which simplifies to,
( r − r 0 ) T Q ( r − r 0 ) = 0 where Q = A − T Q ′ A − 1
Now, we are ready to intersect this oblique cone with the cutting plane, which is the \( x y )- plane. The vector equation of any plane is
\( r = r_1 + W u \)
where r 1 is any arbitrary point on the plane, and W = [ w 1 , w 2 ] is a 3 × 2 matrix whose columns are arbitrary unit vectors that together with the normal to the plane form an orthonormal basis for R 3 .
In the case of the x y -plane, it is natural to choose r 1 = ( 0 , 0 , 0 ) , w 1 = ( 1 , 0 , 0 ) and w 2 = ( 0 , 1 , 0 ) .
Substituting this vector expression into the equation of the oblique cone, one obtains,
( r 1 − r 0 + W u ) T Q ( r 1 − r 0 + W u ) = 0
Expanding this quadratic form gives,
u T ( W T Q W ) u + 2 u T W T Q ( r 1 − r 0 ) + ( r 1 − r 0 ) T Q ( r 1 − r 0 ) = 0
Take u 0 = − ( W T Q W ) − 1 W T Q ( r 1 − r 0 ) , then the above equation becomes,
( u − u 0 ) T ( W T Q W ) ( u − u 0 ) = C
where the constant C is given by C = − ( r 1 − r 0 ) T Q ( r 1 − r 0 ) + u 0 T ( W T Q W ) u 0
Dividing by C , we obtain,
( u − u 0 ) T Q 1 ( u − u 0 ) = 1
where Q 1 = C 1 ( W T Q W ) .
The final step is to diagonalize Q 1 into Q 1 = R D R T . The diagonal elements of the diagonal matrix D are the eigenvalues of Q 1 which are the reciprocal of the square of the semi-major and semi-minorr axes lengths a and b of the resulting ellipse of intersection.
The area is given by π a b .
Let's now perform the above computations. We have
V = ⎣ ⎡ 0 5 0 0 0 5 − 5 1 0 − 1 0 ⎦ ⎤
U = ⎣ ⎡ 1 0 0 0 1 0 0 0 − 1 ⎦ ⎤
so that U − 1 = U = ⎣ ⎡ 1 0 0 0 1 0 0 0 − 1 ⎦ ⎤
Therefore,
A = V U − 1 = ⎣ ⎡ 0 5 0 0 0 5 − 5 1 0 − 1 0 ⎦ ⎤ ⎣ ⎡ 1 0 0 0 1 0 0 0 − 1 ⎦ ⎤ = ⎣ ⎡ 0 5 0 0 0 5 5 − 1 0 1 0 ⎦ ⎤
Its inverse is,
A − 1 = 5 1 ⎣ ⎡ 2 − 2 1 1 0 0 0 1 0 ⎦ ⎤
Now, let's compute matrix Q = A − T Q ′ A − 1 .
Q = 2 5 1 ⎣ ⎡ 2 1 0 − 2 0 1 1 0 0 ⎦ ⎤ ⎣ ⎡ 1 0 0 0 1 0 0 0 − 1 ⎦ ⎤ ⎣ ⎡ 2 − 2 1 1 0 0 0 1 0 ⎦ ⎤
Multiplying the last two matrices first, we obtain,
Q = 2 5 1 ⎣ ⎡ 2 1 0 − 2 0 1 1 0 0 ⎦ ⎤ ⎣ ⎡ 2 − 2 − 1 1 0 0 0 1 0 ⎦ ⎤
so that,
Q = 2 5 1 ⎣ ⎡ 7 2 − 2 2 1 0 − 2 0 1 ⎦ ⎤
Next, we compute the matrix W T Q W , this is given by:
W T Q W = 2 5 1 [ 1 0 0 1 0 0 ] ⎣ ⎡ 7 2 − 2 2 1 0 − 2 0 1 ⎦ ⎤ ⎣ ⎡ 1 0 0 0 1 0 ⎦ ⎤
Which is a straight forward computation. This comes to,
W T Q W = 2 5 1 [ 7 2 2 1 ]
Next, we compute the vector u 0 = − ( W T Q W ) − 1 W T Q ( r 1 − r 0 ) . Note that r 1 = ( 0 , 0 , 0 ) and r 0 = S = ( 5 , − 5 , 1 5 ) . Therefore,
u 0 = 3 1 [ 1 − 2 − 2 7 ] [ 7 2 2 1 − 2 0 ] ⎣ ⎡ 5 − 5 1 5 ⎦ ⎤
This comes to,
u 0 = [ − 5 1 5 ]
Now, we're ready to compute C = − ( r 1 − r 0 ) T Q ( r 1 − r 0 ) + u 0 T ( W T Q W ) u 0
This comes to,
C = − 2 5 1 ( 7 ( 2 5 ) + 1 ( 2 5 ) + 1 ( 2 2 5 ) + 4 ( − 2 5 ) − 4 ( 7 5 ) ) + 2 5 1 ( 7 ( 2 5 ) + 1 ( 2 2 5 ) + 4 ( − 7 5 ) )
Simplifying, we get,
C = − ( 7 + 1 + 9 − 4 − 1 2 ) + ( 7 + 9 − 1 2 ) = 3
Therefore, the matrix Q 1 = C 1 ( W T Q W ) is given by,
Q 1 = 7 5 1 [ 7 2 2 1 ]
The product of the eigenvalues of this matrix is equal to its determinant,
∣ Q 1 ∣ = a 2 b 2 1 = 7 5 2 3
Hence a b = 3 7 5 = 2 5 3 .
This means that the area is equal to π a b = 2 5 3 π = 1 3 6 . 0 3 5 when rounded to three decimal places.
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The point ( 0 , 5 ( 1 + sin t ) , 5 ( 1 + cos t ) ) on C projects to the point ( x , y , 0 ) on the x y -plane, where x = 5 + 2 − sin t 3 ( − 5 ) = − 2 − sin t 5 ( 1 + sin t ) y = − 5 + 2 − sin t 3 5 ( 2 + cos t ) = 2 − sin t 5 ( 4 + sin t + 3 cos t ) and so x + 5 = 2 − sin t 5 ( 1 − 2 sin t ) y − 1 5 = 2 − sin t 5 ( − 2 + 4 sin t + 3 cos t ) and hence 7 ( x + 5 ) 2 + 4 ( x + 5 ) ( y − 1 5 ) + ( y − 1 5 ) 2 = 7 5 (The values of 5 and − 1 5 are found by averaging the minimum and maximum values of x and y respectively as t varies over [ 0 , 2 π ] , and the coefficients 7 , 4 , 1 are chosen to remove terms in cos t and sin t cos t in the numerator of the expansion 7 ( x + 5 ) 2 + 4 ( x + 5 ) ( y − 1 5 ) + ( y − 1 5 ) 2 ).
The eigenvalues of the matrix ( 7 2 2 1 ) are 4 ± 1 3 , and so we can find an X Y -axis system with origin at the point ( − 5 , 1 5 ) such that the equation of the shadow of C is ( 4 + 1 3 ) X 2 + ( 4 − 1 3 ) Y 2 = 7 5 which is the equation of an ellipse with semimajor and semiminor axes a , b , where a 2 = 4 − 1 3 7 5 b 2 = 4 + 1 3 7 5 and hence a b = 2 5 3 . The area of the ellipse is therefore π a b = 2 5 π 3 .