Euclidian space en U is a linear subspace

In summary, the problem states that in an Euclidean space (ℝ,V,+,[,.,]), if U is a linear subspace of V, then (U⊥)⊥ = U. This can be shown by first picking an orthonormal basis for U and then finding orthonormal basis vectors for the orthogonal complement of U, and subsequently for the orthogonal complement of that. It follows that U is a subset of U⊥⊥ and that they have the same dimensions, making them the same subspace.
  • #1
damabo
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Homework Statement



show that (U[itex]\bot[/itex])[itex]\bot[/itex]=U, if (ℝ,V,+,[,.,]) an Euclidian space en U is a linear subspace of V.

Homework Equations





The Attempt at a Solution



suppose [itex]\beta={u_1,...,u_k}[/itex] is an orthonormal basis of U.
pick u in U. Then [itex]u=x_1u_1+...+x_ku_k[/itex] for certain x_1,...,x_k in ℝ.

pick u'_1,...,u'_k as orthonormal basisvectors of U[itex]\bot[/itex], where u'_i[itex]\bot[/itex]u_i for all i. and consequently take basisvectors u''_1,...,u''_k for U[itex]\bot\bot[/itex] that are orthogonal to the previous. then it follows that u''=x_1u''_1+...+x_ku''_k = x_1u_1+...+x_ku_k = u.
this means that U[itex]\subset[/itex]U[itex]\bot\bot[/itex] and also that both have the same dimensions, and consequently that they are the same subspaces (since [itex]span(u_1,...,u_k)=span(u''_1,...,u''_k)=ℝ^k [/itex]).
 
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  • #2


I am confused as to what you mean by U⊥. I would expect that to mean "the orthogonal complement of U" but that requires that U be a subset of some larger space. If you mean "orthogonal complement, what larger space are you assuming?
 
  • #3


see the problem statement: [itex]U\bot[/itex] is indeed the orthogonal complement and V is the Euclidian space of which U is a subspace. [itex]U\bot\bot[/itex] is thus the orthogonal complement of the orthogonla complement.
 
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1. What is Euclidian space?

Euclidian space refers to the mathematical concept of a space with three dimensions (length, width, and height) that follows the rules of Euclidean geometry. It is often represented as a Cartesian coordinate system, with each point in the space having a unique set of coordinates.

2. What does it mean for a space to be linear?

A linear space is a mathematical concept that describes a set of vectors that can be added together and multiplied by a scalar, while still remaining within the same space. This means that all points within the space can be reached through a combination of vector addition and scalar multiplication.

3. What is a subspace?

A subspace is a subset of a larger vector space that also follows the rules of vector addition and scalar multiplication. This means that all vectors within the subspace can be added together and multiplied by scalars without leaving the subspace.

4. How do you determine if a space is a linear subspace?

To determine if a space is a linear subspace, you must check if it follows the two main rules of a subspace: closure under addition and closure under scalar multiplication. This means that the sum of any two vectors within the space must also be within the space, and the multiplication of any vector by a scalar must also result in a vector within the space.

5. What are some examples of linear subspaces?

Some examples of linear subspaces include the xy-plane, the x-axis, and the y-axis in a three-dimensional Euclidean space. These subspaces follow the rules of vector addition and scalar multiplication, and all points within these subspaces can be reached through these operations. Other examples include the null space and column space of a matrix in linear algebra.

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