MHB Split Short Exact Sequences .... Bland, Proposition 3.2.6 .... ....

Math Amateur
Gold Member
MHB
Messages
3,920
Reaction score
48
I am reading Paul E. Bland's book "Rings and Their Modules" ...

Currently I am focused on Section 3.2 Exact Sequences in $$\text{Mod}_R$$ ... ...

I need some help in order to fully understand the proof of Proposition 3.2.6 ...

Proposition 3.2.6 and its proof read as follows:
View attachment 8078
In the above proof of Proposition 3.2.6 we read the following:"... ... Then $$x - x'\in \text{Ker } g = \text{Im } f$$, so $$(x - f( f' (x))) - (x' - f( f' (x'))) = ( x - x') - ( f ( f'(x) ) - f ( f'(x') ) )$$

$$= ( x - x') - f ( f' ( x - x') )$$

$$\in \text{Ker } f' \cap \text{Im } f = 0$$ ... ...

Thus it follows that $$g'$$ is well-defined ... ... "Can someone please explain exactly why/how $$( x - x') - f ( f' ( x - x') ) \in \text{Ker } f' \cap \text{Im } f = 0$$ ... ... Further, can someone please explain in some detail how the above working shows that $$g'$$ is well-defined ...
Help will be much appreciated ...

Peter
 
Physics news on Phys.org
Hi Peter,

By a previous remark, each of $x-f(f'(x))$ and $x'-f(f'(x'))$ belongs to $\ker f'$. As $\ker f'$ is a sub-module, this shows that
$$u = (x-f(f'(x))) - (x'-f(f'(x'))) \in\ker f'$$

on the other hand, we have $x-x'\in\ker g=\mathrm{img}\:f$, and, obviously, $f(\ldots)\in\mathrm{img}\:f$. This shows that we also have $u\in\mathrm{img}\:f$, and, as $\ker f'\cap\mathrm{img}\:f=0$, $u=0$.

This shows that, if you use $x'$ instead of $x$ (subject to $g(x')=g(x)$) in the definition of $g'(y)$, the difference will be $u=0$, which means that you will get the same value for $g'(y)$; this is what "g' is well-defined" means.

This proof looks a little like black magic, but there is a trick that allows you to see what happens. You will end up proving that $M$ is isomorphic to $M_1\times M_2$. Of course, you cannot use that in the proof, but you can use it to understand what happens in the proof.

Knowing that, we can write any element of $M$ as $(a,b)$, with $a\in M_1$ and $b\in M_2$. You can define:
$$\begin{align*}
f(a) &= (a,0)\\
f'(a,b) &= a\\
g(a,b) &= b\\
\end{align*}$$
and you are trying to define $g'(b)$ as $(0,b)$. If $x$ is any element that maps to $b$, like $(c,b)$, you cannot simply define $g'(b)=(c,b)$, because there can be many possible elements $(c,b)$ in the pre-image of $b$. The trick is to use $f$ and $f'$ to get rid of $c$. Specifically, you have, using the formula in the text : $(c,b) - f(f'(c,b))= (c,b) - f(c) = (c,b) - (c,0) = (0,b)$, and this is what you want.
 
Last edited:
castor28 said:
Hi Peter,

By a previous remark, each of $x-f(f'(x))$ and $x'-f(f'(x'))$ belongs to $\ker f'$. As $\ker f'$ is a sub-module, this shows that
$$u = (x-f(f'(x))) - (x'-f(f'(x'))) \in\ker f'$$

on the other hand, we have $x-x'\in\ker g=\mathrm{img}\:f$, and, obviously, $f(\ldots)\in\mathrm{img}\:f$. This shows that we also have $u\in\mathrm{img}\:f$, and, as $\ker f'\cap\mathrm{img}\:f=0$, $u=0$.

This shows that, if you use $x'$ instead of $x$ (subject to $g(x')=g(x)$) in the definition of $g'(y)$, the difference will be $u=0$, which means that you will get the same value for $g'(y)$; this is what "g' is well-defined" means.

".
Thanks castor28 ... most helpful ...

Most interesting and enlightening is when you write: " ... ... This proof looks a little like black magic, but there is a trick that allows you to see what happens. You will end up proving that $M$ is isomorphic to $M_1\times M_2$. Of course, you cannot use that in the proof, but you can use it to understand what happens in the proof.

Knowing that, we can write any element of $M$ as $(a,b)$, with $a\in M_1$ and $b\in M_2$. You can define:
$$\begin{align*}
f(a) &= (a,0)\\
f'(a,b) &= a\\
g(a,b) &= b\\
\end{align*}$$
and you are trying to define $g'(b)$ as $(0,b)$. If $x$ is any element that maps to $b$, like $(c,b)$, you cannot simply define $g'(b)=(c,b)$, because there can be many possible elements $(c,b)$ in the pre-image of $b$. The trick is to use $f$ and $f'$ to get rid of $c$. Specifically, you have, using the formula in the text : $(c,b) - f(f'(c,b))= (c,b) - f(c) = (c,b) - (c,0) = (0,b)$, and this is what you want. ... ... Still reflecting on these ideas ...

Thanks again ...

Peter
 
Thread 'How to define a vector field?'
Hello! In one book I saw that function ##V## of 3 variables ##V_x, V_y, V_z## (vector field in 3D) can be decomposed in a Taylor series without higher-order terms (partial derivative of second power and higher) at point ##(0,0,0)## such way: I think so: higher-order terms can be neglected because partial derivative of second power and higher are equal to 0. Is this true? And how to define vector field correctly for this case? (In the book I found nothing and my attempt was wrong...

Similar threads

  • · Replies 3 ·
Replies
3
Views
2K
  • · Replies 1 ·
Replies
1
Views
1K
  • · Replies 7 ·
Replies
7
Views
923
  • · Replies 2 ·
Replies
2
Views
1K
Replies
25
Views
4K
Replies
2
Views
2K
Replies
2
Views
1K
  • · Replies 5 ·
Replies
5
Views
2K
  • · Replies 12 ·
Replies
12
Views
3K
  • · Replies 9 ·
Replies
9
Views
2K