Prove that the set of all vectors is a subspace

In summary, the conversation discusses the problem of proving that the set of all vectors satisfying a dot product of zero with a fixed vector a in R3 is a subspace. Geometrically, this set can be described as a plane through the origin perpendicular to a. Analytically, it can be proved by showing that any linear combination of two vectors with a dot product of zero with a is also perpendicular to a. For part (b), the conversation discusses how to prove that the set of all vectors satisfying a cross product of zero with a is a subspace as well. This can be done using the properties of cross product.
  • #1
danago
Gold Member
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Let [tex]\vec{a} \ne 0[/tex] be a fixed vector in R3.

(a) Prove that the set of all vectors [tex]\vec{x} \in R^3[/tex] satisfying [tex]\vec{a}.\vec{x}=0[/tex] is a subspace of R^3. Describe this set geometrically.

(b) Is the set of all vectors [tex]\vec{x} \in R^3[/tex] satisfying [tex]\vec{a} \times \vec{x}=0[/tex] a subspace of R3?
For part (a), i thought about the problem geometrically and id be inclined to say that it is a subspace. The zero dot product implies that a and x are orthogonal, and so the set of all x will be a plane through the origin (since <0,0>.a=0 for any a) which is perpendicular to a.

Analytically, i proved it by letting p and q be vectors such that p.a=q.a=0. I then showed that any linear combination of these two vectors is also perpendicular to a.

(kp+lq).a=k(p.a)+l(q.a)=0

Is that correct?

Its part (b) where I am a bit stuck. If the cross product of two vectors is the zero vector, this implies that they are parallel, yea? So x is some element of the set of all vectors which are parallel to a? Since the linear combination of any two vectors parallel to a will also be parallel to a, can we conclude that the set of all x is a subspace of R3?

Now, if my reasoning is correct, how could i go about showing this analytically? I guess it comes down to showing that the cross product being zero implies that the vectors are parallel; once i can show this i can do the rest myself.

Thanks in advance,
Dan.
 
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  • #2


You can do (b) the same way you did (a). Just use the properties of cross product to do so.
 
  • #3


Defennder said:
You can do (b) the same way you did (a). Just use the properties of cross product to do so.

Oh...ofcourse..haha don't know why i didnt do that. Guess its time for bed :-p Thanks for the quick reply :smile:
 

FAQ: Prove that the set of all vectors is a subspace

What is a vector?

A vector is a mathematical object used to represent quantities that have both magnitude and direction. It is typically represented graphically as an arrow, with the length of the arrow representing the magnitude and the direction of the arrow representing the direction.

What is a subspace?

A subspace is a subset of a vector space that satisfies the three properties of closure under vector addition, closure under scalar multiplication, and contains the zero vector. In simpler terms, a subspace is a smaller space within a larger vector space that still follows the rules of vector addition and scalar multiplication.

How can you prove that a set of vectors is a subspace?

To prove that a set of vectors is a subspace, you must show that it satisfies the three properties of closure under vector addition, closure under scalar multiplication, and contains the zero vector. This can be done by demonstrating that any two vectors in the set can be added together and multiplied by a scalar to produce another vector in the set, and that the zero vector is included in the set.

Why is it important to prove that a set of vectors is a subspace?

Proving that a set of vectors is a subspace is important because it allows us to identify and analyze smaller spaces within a larger vector space. This can help us to better understand the properties and behaviors of these smaller spaces, and how they relate to the larger space.

What are some examples of vector subspaces?

Some examples of vector subspaces include the set of all 2D and 3D vectors, the set of all polynomials of a certain degree, and the set of all solutions to a linear system of equations. These subspaces can help us to solve problems in geometry, physics, and other areas of mathematics.

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