Orthogonal Complement in Inner Product Space: W2^\bot\subseteqW1^\bot

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In summary, the conversation discusses how to show that the orthogonal complement of W2 is a subset of the orthogonal complement of W1. The conversation also mentions the importance of using proper notation, such as ^\bot instead of \bot. The suggested approach is to start by assuming an arbitrary element x\in W_2^\perp and then showing that it is also a member of W_1^\perp, using the definition of "orthogonal complement".
  • #1
chuy52506
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Let W1 and W2 be subspaces of an inner product space V with W1[tex]\subseteq[/tex]W2. Show that (the orthogonal complement denoted by [tex]\bot[/tex]) W2[tex]^\bot[/tex][tex]\subseteq[/tex]W1[tex]^\bot[/tex].
 
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  • #2
You mean W1 instead of the second W2 in the latter inclusion.

Anyway, just write out the definitions. Really.
 
  • #3
Just a little tip about the notation: ^\bot looks better than \bot.
 
  • #4
How would you start it though?
 
  • #5
You start by saying "Let [itex]x\in W_2^\perp[/itex] be arbitrary". Then you show that it's a member of [itex]W_1^\perp[/itex]. You should see how to do this if you just write down the definition of "orthogonal complement".
 

FAQ: Orthogonal Complement in Inner Product Space: W2^\bot\subseteqW1^\bot

What is an orthogonal complement?

An orthogonal complement is a mathematical concept that refers to the set of all vectors that are perpendicular, or orthogonal, to a given vector or set of vectors. It is also known as the orthogonal subspace.

How is an orthogonal complement represented?

The orthogonal complement is often denoted by the symbol ⊥ or by adding a superscript ⊥ to the original vector or subspace.

How is the orthogonal complement calculated?

The orthogonal complement is calculated using the dot product, or inner product, between two vectors. The dot product is equal to zero when two vectors are perpendicular, so the orthogonal complement can be found by solving the equation:

v ⋅ w = 0

where v is the given vector and w is the unknown vector in the orthogonal complement.

What is the relationship between the orthogonal complement and the span of a vector or subspace?

The orthogonal complement and the span of a vector or subspace are complementary spaces that form a direct sum. This means that every vector in the original space can be represented as a sum of a vector in the orthogonal complement and a vector in the span.

How is the orthogonal complement used in real-world applications?

The concept of orthogonal complement is used in various fields, such as physics, engineering, and computer science. It is particularly useful in solving systems of linear equations, finding orthogonal bases, and in signal processing for noise reduction and data compression.

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