Matrix Transformation ugly problem

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The discussion revolves around finding the projection matrix of a vector X onto a plane U in R^3, defined by a normal vector n. The original poster expresses frustration over arriving at a complicated result and questions the validity of their approach, which involves using the projection of X onto n to derive the projection onto U. A contributor suggests that while there isn't a quick method, calculating the unit normal vector and projecting standard basis vectors onto the plane can yield the necessary projection matrix. The contributor provides calculations for the projections of the basis vectors, indicating that the matrix can be formed from these results. The conversation highlights the complexity of the problem and seeks clarity on the correct method for deriving the projection matrix.
kingwinner
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1) Let U be a plane through the origin in R^3 with a nonzero normal vector n=[a b c]^T. Find the projection matrix of X=[x1 x2 x3]^T onto U.

I got this question from my linear algebra test today and I am dying on it.

I tried something out but ended up with a terribly ugly result in which I have no confidence of it being right.

My method:
Since (projection of X onto n) gives the perpendicular (closeest) distance from X to the plane U, I have the following inequality: (in orthongonal complement of U)
(projection of X onto n) = X - (projection of X onto U) (<-is this right?)
and then solve for (projection of X onto U) for which I can obtain the induced matrix by factoring the matrix [x1 x2 x3]^T out
and this ends up with some ugly calculations (this question only worth 5 marks, how can I take that long?)

Is there a flaw in this thinking? Is it right?

I seriously think I have missed something...Is there a very easy method to do this question? Can someone teach me? I can't sleep without it.

Thanks a lot!
 
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Is there anyone good in linear algebra who can help me? thanks
 
Last edited:
kingwinner said:
1) Let U be a plane through the origin in R^3 with a nonzero normal vector n=[a b c]^T. Find the projection matrix of X=[x1 x2 x3]^T onto U.

I got this question from my linear algebra test today and I am dying on it.

I tried something out but ended up with a terribly ugly result in which I have no confidence of it being right.

My method:
Since (projection of X onto n) gives the perpendicular (closeest) distance from X to the plane U, I have the following inequality: (in orthongonal complement of U)
(projection of X onto n) = X - (projection of X onto U) (<-is this right?)
and then solve for (projection of X onto U) for which I can obtain the induced matrix by factoring the matrix [x1 x2 x3]^T out
and this ends up with some ugly calculations (this question only worth 5 marks, how can I take that long?)

Is there a flaw in this thinking? Is it right?

I seriously think I have missed something...Is there a very easy method to do this question? Can someone teach me? I can't sleep without it.

Thanks a lot!

With the normal vector given as just the general <a, b, c>, I don't see any really quick way to do it. It's easy to see that a unit vector normal to the plane is <a/L, b/L, c/L> where L is the length of <a, b, c>: \sqrt{a^2+ b^2+ c^2}. The projection of the basis vector <1, 0, 0> onto that line is &lt;a^2/L^2, b/L^2, c/L^2&gt; and so its projection onto the plane is &lt;(b^2+ c^2)/L^2, -b/L^2, -c/L^2&gt;. Similarly, the projection of &lt;0, 1, 0&gt; onto the plane is &amp;lt;-a/L^2, (a^2+ c^2)/L^2,-c/L^2) and the projection of &amp;lt;0, 0, 1&amp;gt; onto the plane is &amp;amp;lt;-a/L^2, -b/L^2, (a^2+ b^2)/L^2&amp;amp;gt;. The matrix representation of the projection is the matrix having those vectors as columns.
 
Question: A clock's minute hand has length 4 and its hour hand has length 3. What is the distance between the tips at the moment when it is increasing most rapidly?(Putnam Exam Question) Answer: Making assumption that both the hands moves at constant angular velocities, the answer is ## \sqrt{7} .## But don't you think this assumption is somewhat doubtful and wrong?

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