Prove the inverse image is a subspace.

Remember that T^-1 (X) = {v | T(v) is in X}. So if u,v are in T^-1 (X), then T(u) and T(v) are in X. Can you show that T(u+v) is also in X? And similarly for scalar multiplication? Showing that T^-1 (X) is non-empty should be easy, since the original space is non-empty.
  • #1
trap101
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Let T: V-->W be a surjective linear transformation and let X be a subspace of W. Assume tat Ker(T) and X are finite dimensonal.

Prove that T^-1 (X) = {v | T(v) is in X} is a subspace of V.


Ok I absolutely suck at showing things are a subspace of something...I don't even know where to start.


Thanks for the help
 
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  • #2
a "subspace" is a subset U of a vector space V that is a vector space in its own right, when the vector addtion of V is restricted to U and the scalar multiplication is restricted to U.

since the operation on U is really "the same one" as on V, there are certain axioms of the entire canon of axioms of a vector space we don't actually have to prove for U, because they hold just as they did for V.

for example, if u+v = v+u for all u,v in V, then it is certainly STILL true if we insist that u,v are in U (since U is a subset of V, so everything in U is also in V).

but there are some things we "don't get for free".

we have no guarantee that when we restrict vector addition to U, that for u,v in U, that u+v will still BE in U. that is, that "+" restricted to U is a legitimate binary operation on U.

we also have no guarantee that for a scalar c, that cu will still be in U (which has to be true for U to be a vector space).

finally, the empty set is NEVER a vector space (every vector space contains, at minimum, a 0-vector. that's as small as a vector space can get). so it behooves us to ensure that something is actually IN our "subspace" U.

so typically, to establish a subSET is a subSPACE, you need to show 3 things:

a)if u,v are in U, so is u+v (closure of vector addition)
b)if c is in F, and u is in U, then cu is in U (closure of scalar multiplication)
c)the 0-vector of V is in U (alternatively, U is non-empty).
 
  • #3
trap101 said:
Ok I absolutely suck at showing things are a subspace of something...I don't even know where to start.

How about showing closure under addition and scalar multiplication? The other vector space properties are inherited from the original space.
 

FAQ: Prove the inverse image is a subspace.

What is the definition of an inverse image?

The inverse image of a function is the set of all inputs that produce a given output. In other words, it is the set of all elements in the domain of a function that map to a specific element in the range.

Why is it important to prove that the inverse image is a subspace?

Proving that the inverse image is a subspace ensures that the set of inputs that map to a specific output also forms a subspace, meaning it follows the same properties and rules as other subspaces. This is important in order to apply mathematical operations and transformations to the inverse image with confidence.

How is the inverse image of a subspace related to the original subspace?

The inverse image of a subspace is a subset of the original subspace. This means that any element in the inverse image is also an element in the original subspace, but the inverse image may contain additional elements that do not map to a specific output in the subspace.

Can the inverse image of a subspace be empty?

Yes, it is possible for the inverse image of a subspace to be empty. This would occur when there are no inputs in the domain of the function that map to a specific output in the subspace. In this case, the inverse image would be considered a trivial subspace.

How do you prove that the inverse image is a subspace?

To prove that the inverse image is a subspace, you must show that it follows the three properties of a subspace: closure under addition, closure under scalar multiplication, and containing the zero vector. This can be done by using the definition of an inverse image and showing that all elements in the inverse image also satisfy these properties.

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