How can I prove that two null spaces are equal by using the existence of an invertible operator?
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Suppose $W$ is finite dimensional and $T_1, T_2 in L(V,W).$ Prove that null($T_1$) $=$ null($T_2$) if and only if there exists and invertable operator $Sin L(W)$ such that $T_1 = Scirc T_2$.
I'm quite sure I have to make use of the rank-nullity theorem here. I started with:
$ dim(v) = dim(null(Scirc T_2)) + dim(Range(Scirc T_2)) $
$=dim(null(T_1)) + dim(Range(S circ T_2)) $
$=dim(null(S circ T_2) = dim(Range(nullT_1))$
$=dim(nullT_1) + dim(Range(T_1)) $
$= dim(nullT_1), + dim(Range(S circ T_2))$
$=dim(Range(T_1)) = dim(Range(S circ T_2))$
...I'm not sure how to take this further and put everything together.
linear-algebra vector-spaces linear-transformations proof-explanation
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Suppose $W$ is finite dimensional and $T_1, T_2 in L(V,W).$ Prove that null($T_1$) $=$ null($T_2$) if and only if there exists and invertable operator $Sin L(W)$ such that $T_1 = Scirc T_2$.
I'm quite sure I have to make use of the rank-nullity theorem here. I started with:
$ dim(v) = dim(null(Scirc T_2)) + dim(Range(Scirc T_2)) $
$=dim(null(T_1)) + dim(Range(S circ T_2)) $
$=dim(null(S circ T_2) = dim(Range(nullT_1))$
$=dim(nullT_1) + dim(Range(T_1)) $
$= dim(nullT_1), + dim(Range(S circ T_2))$
$=dim(Range(T_1)) = dim(Range(S circ T_2))$
...I'm not sure how to take this further and put everything together.
linear-algebra vector-spaces linear-transformations proof-explanation
What have you tried so far?
– jgon
Nov 13 at 17:06
Any time you're stuck on a proof, one place to start is to circle all the key terms and write down the definitions for them. PS it's "Invertible", not "invertable".
– Acccumulation
Nov 13 at 17:13
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up vote
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down vote
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Suppose $W$ is finite dimensional and $T_1, T_2 in L(V,W).$ Prove that null($T_1$) $=$ null($T_2$) if and only if there exists and invertable operator $Sin L(W)$ such that $T_1 = Scirc T_2$.
I'm quite sure I have to make use of the rank-nullity theorem here. I started with:
$ dim(v) = dim(null(Scirc T_2)) + dim(Range(Scirc T_2)) $
$=dim(null(T_1)) + dim(Range(S circ T_2)) $
$=dim(null(S circ T_2) = dim(Range(nullT_1))$
$=dim(nullT_1) + dim(Range(T_1)) $
$= dim(nullT_1), + dim(Range(S circ T_2))$
$=dim(Range(T_1)) = dim(Range(S circ T_2))$
...I'm not sure how to take this further and put everything together.
linear-algebra vector-spaces linear-transformations proof-explanation
Suppose $W$ is finite dimensional and $T_1, T_2 in L(V,W).$ Prove that null($T_1$) $=$ null($T_2$) if and only if there exists and invertable operator $Sin L(W)$ such that $T_1 = Scirc T_2$.
I'm quite sure I have to make use of the rank-nullity theorem here. I started with:
$ dim(v) = dim(null(Scirc T_2)) + dim(Range(Scirc T_2)) $
$=dim(null(T_1)) + dim(Range(S circ T_2)) $
$=dim(null(S circ T_2) = dim(Range(nullT_1))$
$=dim(nullT_1) + dim(Range(T_1)) $
$= dim(nullT_1), + dim(Range(S circ T_2))$
$=dim(Range(T_1)) = dim(Range(S circ T_2))$
...I'm not sure how to take this further and put everything together.
linear-algebra vector-spaces linear-transformations proof-explanation
linear-algebra vector-spaces linear-transformations proof-explanation
edited 2 days ago
max_zorn
3,25861228
3,25861228
asked Nov 13 at 17:03
Jaigus
1948
1948
What have you tried so far?
– jgon
Nov 13 at 17:06
Any time you're stuck on a proof, one place to start is to circle all the key terms and write down the definitions for them. PS it's "Invertible", not "invertable".
– Acccumulation
Nov 13 at 17:13
add a comment |
What have you tried so far?
– jgon
Nov 13 at 17:06
Any time you're stuck on a proof, one place to start is to circle all the key terms and write down the definitions for them. PS it's "Invertible", not "invertable".
– Acccumulation
Nov 13 at 17:13
What have you tried so far?
– jgon
Nov 13 at 17:06
What have you tried so far?
– jgon
Nov 13 at 17:06
Any time you're stuck on a proof, one place to start is to circle all the key terms and write down the definitions for them. PS it's "Invertible", not "invertable".
– Acccumulation
Nov 13 at 17:13
Any time you're stuck on a proof, one place to start is to circle all the key terms and write down the definitions for them. PS it's "Invertible", not "invertable".
– Acccumulation
Nov 13 at 17:13
add a comment |
1 Answer
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We know that multiplication by an invertible matrix don't change the rank of a matrix,
$Longrightarrow rk(T_1) = rk(SoT_2) = rk(T_2)$
$Longrightarrow null(T_1) = dim(V)-rk(T_1)$
$=dim(V) - rk(T_2)$
$=null(T_2)$
$therefore RHSLongrightarrow LHS$
Hope it helps:)
add a comment |
1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
up vote
0
down vote
We know that multiplication by an invertible matrix don't change the rank of a matrix,
$Longrightarrow rk(T_1) = rk(SoT_2) = rk(T_2)$
$Longrightarrow null(T_1) = dim(V)-rk(T_1)$
$=dim(V) - rk(T_2)$
$=null(T_2)$
$therefore RHSLongrightarrow LHS$
Hope it helps:)
add a comment |
up vote
0
down vote
We know that multiplication by an invertible matrix don't change the rank of a matrix,
$Longrightarrow rk(T_1) = rk(SoT_2) = rk(T_2)$
$Longrightarrow null(T_1) = dim(V)-rk(T_1)$
$=dim(V) - rk(T_2)$
$=null(T_2)$
$therefore RHSLongrightarrow LHS$
Hope it helps:)
add a comment |
up vote
0
down vote
up vote
0
down vote
We know that multiplication by an invertible matrix don't change the rank of a matrix,
$Longrightarrow rk(T_1) = rk(SoT_2) = rk(T_2)$
$Longrightarrow null(T_1) = dim(V)-rk(T_1)$
$=dim(V) - rk(T_2)$
$=null(T_2)$
$therefore RHSLongrightarrow LHS$
Hope it helps:)
We know that multiplication by an invertible matrix don't change the rank of a matrix,
$Longrightarrow rk(T_1) = rk(SoT_2) = rk(T_2)$
$Longrightarrow null(T_1) = dim(V)-rk(T_1)$
$=dim(V) - rk(T_2)$
$=null(T_2)$
$therefore RHSLongrightarrow LHS$
Hope it helps:)
edited Nov 13 at 17:40
answered Nov 13 at 17:22
Crazy for maths
4948
4948
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What have you tried so far?
– jgon
Nov 13 at 17:06
Any time you're stuck on a proof, one place to start is to circle all the key terms and write down the definitions for them. PS it's "Invertible", not "invertable".
– Acccumulation
Nov 13 at 17:13