Got a bizzare question, appreciate any hints

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Discussion Overview

The discussion revolves around properties of projections in finite dimensional vector spaces, particularly focusing on the relationships between projections, their kernels, and inner product spaces. The scope includes theoretical aspects and mathematical reasoning related to linear algebra.

Discussion Character

  • Technical explanation
  • Mathematical reasoning
  • Homework-related

Main Points Raised

  • Post 1 presents a series of tasks related to projections, including showing that I - P is a projection and exploring conditions for orthogonality.
  • Post 2 suggests that part (a) is straightforward and implies that the tasks involve applying standard definitions and theorems.
  • Post 2 also mentions that part (b) can be approached using the inner product definition.
  • Post 4 provides a hint regarding the identity matrix and encourages the computation to show that I - P is a projection, emphasizing the properties of projections.
  • Post 4 questions whether the original poster is familiar with the standard theorem referenced and suggests reviewing defining properties.

Areas of Agreement / Disagreement

Participants do not express explicit agreement or disagreement on the tasks presented. There is a general acknowledgment of the tasks' nature, but no consensus on specific approaches or solutions.

Contextual Notes

Some participants reference standard theorems and definitions without providing detailed explanations, which may limit understanding for those unfamiliar with the concepts. The discussion does not resolve the complexity of the tasks or the assumptions involved.

Who May Find This Useful

Students or individuals studying linear algebra, particularly those interested in the properties of projections and inner product spaces.

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:bugeye: :bugeye: :bugeye:
Let V be a finite dimensional vector space, and P <- L(V, V) be a projection, i.e P = P^2

a. Show that I - P is also a projection, that I am P = Ker(I-P) and that
V = the direct sum of I am P and Ker P

b. Suppose that V is also an inner product space; show that
I am P orthognoal to Ker P <=> P = "P transpose conjugate"

c. Show that if P, Q are orthogonal projections, then PQ is a
orthogonal projection <=> PQ = QP, and that in this case
I am PQ = intersection of I am P and I am Q

d. Show that if P, Q are orthogonal projections, then P+Q is an
orthogonal projection <=> PQ = 0, and that in this case
Im(P+Q) = direct sum of I am P and I am Q
 
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Well, what's bizarre?

a is easy computation and applying a standard theorem

these are all 'show from something satisfies a definition'; which bits don't you understand?

b. for instance uses (Px,y)=(x,P^ty) and the definition of orthogonal.
 
thanks matt, time to review my maths notes :redface:
 
have you met the standard theorem I allude to? it can be shown without appeal to it as well, and you should probably do that. HINT

1 = 1-P+P

where 1 means the identity matrix.

have you done the computation to show 1-P is a projection? (recall a projection is a map Q such that Q^2=Q, or equally, Q(1-Q)=0. what is the characteristic polynomial of Q? what is the minimal poly of Q if Q is neither 1 nor the zero map?)

if you can't see how to start a question it is always advisable to read the notes that tell you the defining properties of what you wish to demonstrate.
 

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