Confused on definition of projection

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Discussion Overview

The discussion revolves around the definition of a projection in the context of linear operators on vector spaces, specifically addressing the conditions under which an operator qualifies as a projection. The scope includes theoretical aspects of linear algebra and definitions from textbooks and external sources.

Discussion Character

  • Debate/contested
  • Conceptual clarification

Main Points Raised

  • One participant cites a textbook definition stating that a linear operator ## T ## on ## V ## is a projection on ## W_1 ## along ## W_2 ## if it satisfies ## T(x) = x_1 ## for any decomposition ## x = x_1 + x_2 ##, where ## x_1 \in W_1 ## and ## x_2 \in W_2 ##.
  • The same participant questions the consistency of this definition with the assertion that ## T ## is a projection if and only if ## T^2 = T ##, particularly in the case of the identity operator ## I ##.
  • Another participant challenges whether the second statement about ## T^2 = T ## is a definition or merely a consequence of applying the first definition in specific scenarios.
  • A further contribution suggests that the identity operator can be considered a trivial projection based on the decomposition of ## V ## into itself and the zero subspace, arguing that in this case, the decomposition leads to ## x_1 + x_2 = x_1 ## when ## x_2 = 0 ##.

Areas of Agreement / Disagreement

Participants express differing views on the nature of the identity operator as a projection, with some asserting it does not meet the first definition while others argue it qualifies under the second definition. The discussion remains unresolved regarding the implications of these definitions.

Contextual Notes

The discussion highlights potential ambiguities in the definitions of projections and the conditions under which they apply, particularly concerning the identity operator and its role in vector space decompositions.

JonnyG
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My textbook says: "if ## V = W_1 \oplus W_2 ##,, then a linear operator ## T ## on ##V ## is the projection on ##W_1## along ##W_2## if, whenever ## x = x_1 + x_2##, with ##x_1 \in W_1## and ##x_2 \in W_2##, we have ##T(x) = x_1##"

It then goes on to say that "##T## is a projection if and only ##T^2 = T##.

But what if ##T = I## (the identity operator)? Then suppose ##V## is finite dimensional and ##W## is a subspace of ##V##. Then ##V = W \oplus W^{\perp}## so that any ##x \in V## has the form ##x = x_1 + x_2##. So by the first definition, ##I## is not a projection because ##I(x) = x = x_1 + x_2 \neq x_1 ##. But by the second definition, ##I## is a projection, because ##I^2 = I##.

What's going on here?
 
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Are you sure the second statement is a definition ... could it be a consequence of applying the definition in a particular situation.
 
The exact wording in the book is "In fact, it can be shown (see Exercise 17 of Section 2.3) that ##T## is a projection if and only ##T^2 = T##. The article on Wikipedia also gives this definition.
 
Id is a trivial projection, based on the trivial decomposition of V into the sum of V and the zero subspace. note: Vperp = {0}. I.e. x1+x2 = x1 precisely when x2 =0.
 
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