Graduate How Do We Prove ##L / Z(L)## is Nilpotent in Engel's Theorem?

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SUMMARY

The discussion focuses on proving that ##L / Z(L)## is nilpotent in the context of Engel's Theorem, specifically referencing proof steps from page 13 of a related text. The proof utilizes induction on the dimension of ##L##, establishing that ##L / Z(L)## consists of ad-nilpotent elements and has a smaller dimension than ##L##. Key points include the necessity of ad-nilpotent matrices and the induction hypothesis that ##L/Z(L)## is nilpotent, ultimately concluding that ##L## is nilpotent as well.

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  • Understanding of Engel's Theorem and its conditions.
  • Familiarity with ad-nilpotent elements and their properties.
  • Knowledge of linear algebra concepts, particularly matrix operations.
  • Experience with induction proofs in abstract algebra.
NEXT STEPS
  • Study the properties of ad-nilpotent matrices in detail.
  • Explore the implications of Engel's Theorem in various algebraic structures.
  • Learn about the Heisenberg algebra and its applications in representation theory.
  • Investigate examples of nilpotent Lie algebras and their classifications.
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HDB1
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in the Proof of Engel's Theorem. (3.3), p. 13:

please, how we get this step:

##L / Z(L)## evidently consists of ad-nilpotent elements and has smaller dimension than ##L##.
Using induction on ##\operatorname{dim} L##, we find that ##L / Z(L)## is nilpotent.

Thanks in advance,
 
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We know that ##L## consists of ad-nilpotent matrices. (Condition of Engel's theorem.)
This means ##(\operatorname{ad}x)^n=0## for every ##x\in L## and some ##n.##

For the induction step, we need ad-nilpotent matrices of a smaller size.
(i) ##Z(L)\neq 0.## (theorem 3.3)
(ii) Since ##(i)## holds we have ##\dim \left(L/Z(L)\right)<\dim (L)##

(iii) ##L/Z(L)## is ad-nilpotent.
Proof: Take an element ##x+Z(L)\in L/Z(L).## Then ##\operatorname{ad}(x+Z(L))(y+Z(L))=[x,y]+Z(L).## Thus
\begin{align*}
(\operatorname{ad}(x+Z(L)))^n(y)&=[x,[x,[x,[x,[x,\ldots[x,y]\ldots ]]]]]+Z(L)=(\operatorname{ad}_L(x))^n(y)+Z(L)
\end{align*}
Since ##x\in L## is an ad-nilpotent element, we end up with ##(\operatorname{ad}(x+Z(L)))^n(y)=0+Z(L)## if ##n## is only large enough. But that means that ##x+Z(L)\in L/Z(L)## is ad-nilpotent so we can apply the induction hypothesis.

(iv) Induction hypothesis: ##L/Z(L)## is nilpotent.
(v) ##L## is nilpotent by proposition 3.2 (b)
 
Thank you so much, @fresh_42 , :heart: :heart: :heart: :heart:

please, is the opposite direction of Engel's theorem, true? do you have any example of this theorem, please?
 
HDB1 said:
please, is the opposite direction of Engel's theorem, true?
I think so, let's see. Engel says: all ##\operatorname{ad}X## with ##X\in L## nilpotent, then ##L## is nilpotent.

This is definitely the stronger part because it says that from ##[X,[X,[X,\ldots[X,A]\ldots]]]=0## we can conclude that ##[X,[Y,[Z,\ldots[W,A]\ldots]]]=0.## So turning the direction seems to be trivial.

If ##L## is nilpotent and ##X\in L## then ##\{0\}=L^n=[L,[L,[L,\ldots[L,L]\ldots]]]## and in particular ##[X,[X,[X,\ldots[X,A]\ldots]]]=(\operatorname{ad}^n(X))(A)=0## for all ##A\in L.##

You must learn to use the definitions of those terms. Then many answers will come in naturally.

HDB1 said:
do you have any example of this theorem, please?
Consider the Heisenberg algebra ##\left\{\begin{pmatrix}0&a&b\\0&0&c\\0&0&0\end{pmatrix}\right\}.## Set
$$
A=\begin{pmatrix}0&1&0\\0&0&0\\0&0&0\end{pmatrix}\, , \,B=\begin{pmatrix}0&0&1\\0&0&0\\0&0&0\end{pmatrix}\, , \,C=\begin{pmatrix}0&0&0\\0&0&1\\0&0&0\end{pmatrix}
$$
as basis vectors.
 
I am studying the mathematical formalism behind non-commutative geometry approach to quantum gravity. I was reading about Hopf algebras and their Drinfeld twist with a specific example of the Moyal-Weyl twist defined as F=exp(-iλ/2θ^(μν)∂_μ⊗∂_ν) where λ is a constant parametar and θ antisymmetric constant tensor. {∂_μ} is the basis of the tangent vector space over the underlying spacetime Now, from my understanding the enveloping algebra which appears in the definition of the Hopf algebra...

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