Master Linear Algebra Proofs: Dimension Theorem, Rank-Nullity Theorem, and More!

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The discussion focuses on understanding key linear algebra proofs, specifically the Dimension Theorem, the relationship between dimensions of finite-dimensional vector spaces under bijections, and the Rank-Nullity Theorem. The Dimension Theorem states that the sum of the dimensions of two vector spaces equals the dimension of their sum plus the dimension of their intersection. For bijective linear transformations, it is established that the dimensions of the domain and codomain are equal. The Rank-Nullity Theorem addresses injectivity and surjectivity conditions based on the dimensions of the spaces involved. Participants seek clarity on these proofs and recommendations for additional resources to enhance their understanding.
killpoppop
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Hey people. I find myself getting through my course but currently with not as much understanding as I would like. We've got to some proofs and i either vaguely understand them or do not know how to prove them.

Homework Statement


The first would be to prove the Dimension theorem that.

dimU + dimV = dim(U + V) + dim( U intersection V )

The second is if U,V are finite dimensional vector spaces over a field, and T: V -> W is a bijection

Show dimU = dimW

The last is to do with the Rank-Nullity Theorem and a basic linear transformation T: Rn -> Rm

That if m < n prove that T is not injective
And if m = n prove that T is injective iff T is surjective.

Some general insight into these proofs would be very very helpful. All feedback would be very much appreciated.

Thanks.
 
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killpoppop said:
The first would be to prove the Dimension theorem that.

dimU + dimV = dim(U + V) + dim( U intersection V )

Let {u1, ... , uk} be a basis for U and {v1, ... , vp} a basis for V. Now consider the intersection U\capV. If U\capV = {0}, what can you say about the linear depence of the set {u1, ... , uk, v1, ... , vp}? How about the situation U\capV \neq {0}?

The second is if U,V are finite dimensional vector spaces over a field, and T: V -> W is a bijection

Show dimU = dimW
If T: V -> W is a bijective map, then what can you say about its range and kernel? How is this related to the first problem?

The last is to do with the Rank-Nullity Theorem and a basic linear transformation T: Rn -> Rm

That if m < n prove that T is not injective
And if m = n prove that T is injective iff T is surjective.
Again, consider range and kernel.
 
killpoppop said:
Hey people. I find myself getting through my course but currently with not as much understanding as I would like. We've got to some proofs and i either vaguely understand them or do not know how to prove them.


Homework Statement


The first would be to prove the Dimension theorem that.

dimU + dimV = dim(U + V) + dim( U intersection V )
I would do this: subtract dim(U intersect V) from both sides to get the equivalent
dim(U+ V)= dimU + dimV- dim( U intersection V )
Choose a basis for U intersect V, then extend it to a basis of U. Extend that same basis for U intersect V to a basis for V. Show that the union of those two bases is a basis for U+ V.


The second is if U,V are finite dimensional vector spaces over a field, and T: V -> W is a bijection

Show dimU = dimW
Choose a basis for U, {u1, u2, ..., un} and show that {Tu1, Tu2, ... Tun} are independent. Thus, dimU\le dimW. Choose a basis for W, {w1, w2, ..., wm} and show that {T-1w1, T-1w2, ..., T-1wn} are independent.

The last is to do with the Rank-Nullity Theorem and a basic linear transformation T: Rn -> Rm

That if m < n prove that T is not injective
And if m = n prove that T is injective iff T is surjective.
Again choose a basis for Rn, {v1, v2, ..., vn} and look at {Tv1, Tv2, ..., Tvn}.

Some general insight into these proofs would be very very helpful. All feedback would be very much appreciated.

Thanks.
 
Last edited by a moderator:
Thanks for the feedback it all helps. But still doesn't clear a lot up for me.

Choose a basis for U intersect V, then extend it to a basis of U. Extend that same basis for U intersect V to a basis for V. Show that the union of those two bases is a basis for U+ V.

For this questions I've proved U+V is a subspace. What your saying is the next step but it doesn't make much sense to me. Can you explain further?
 
Also can anyone suggest a decent book or website where i can read up on these?
 
Question: A clock's minute hand has length 4 and its hour hand has length 3. What is the distance between the tips at the moment when it is increasing most rapidly?(Putnam Exam Question) Answer: Making assumption that both the hands moves at constant angular velocities, the answer is ## \sqrt{7} .## But don't you think this assumption is somewhat doubtful and wrong?

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