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Jacobson density theorem

Jacobson density theorem is a mathematics topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Jacobson density theorem rather than just read about it. In short: In mathematics, more specifically non-commutative ring theory, modern algebra, and module theory, the Jacobson density theorem is a theorem concerning simple modules over a ring R. The theorem can be applied to show that any primitive ring can be viewed as a "dense" subring of the ring of linear transformations of a vector space.

Key takeaways

  • Jacobson density theorem belongs to mathematics; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Jacobson density theorem to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Jacobson density theorem from memory before moving on to harder problems.

Reference excerpt

In mathematics, more specifically non-commutative ring theory, modern algebra, and module theory, the Jacobson density theorem is a theorem concerning simple modules over a ring R. The theorem can be applied to show that any primitive ring can be viewed as a "dense" subring of the ring of linear transformations of a vector space. This theorem first appeared in the literature in 1945, in the famous paper "Structure Theory of Simple Rings Without Finiteness Assumptions" by Nathan Jacobson. This can be viewed as a kind of generalization of the Artin-Wedderburn theorem's conclusion about the structure of simple Artinian rings.

Motivation and formal statement Let R be a ring and let U be a simple right R-module. If u is a non-zero element of U, u • R = U (where u • R is the cyclic submodule of U generated by u). Therefore, if u, v are non-zero elements of U, there is an element of R that induces an endomorphism of U transforming u to v. The natural question now is whether this can be generalized to arbitrary (finite) tuples of elements. More precisely, find necessary and sufficient conditions on the tuple (x1, ..., xn) and (y1, ..., yn) separately, so that there is an element of R with the property that xi • r = yi for all i. If D is the set of all R-module endomorphisms of U, then Schur's lemma asserts that D is a division ring, and the Jacobson density theorem answers the question on tuples in the affirmative, provided that the xi are linearly independent over D. With the above in mind, the theorem may be stated this way:

The Jacobson density theorem. Let U be a simple right R-module, D = End(UR), and X ⊂ U a finite and D-linearly independent set. If A is a D-linear transformation on U then there exists r ∈ R such that A(x) = x • r for all x in X.

Proof In the Jacobson density theorem, the right R-module U is simultaneously viewed as a left D-module where D = End(UR), in the natural way: g • u = g(u). It can be verified that this is indeed a left module structure on U. As noted before, Schur's lemma proves D is a division ring if U is simple, and so U is a vector space over D. The proof also relies on the following theorem proven in (Isaacs 1993) p. 185:

Theorem. Let U be a simple right R-module, D = End(UR), and X ⊂ U a finite set. Write I = annR(X) for the annihilator of X in R. Let u be in U with u • I = 0. Then u is in XD; the D-span of X.

Proof of the Jacobson density theorem We use induction on |X|. If X is empty, then the theorem is vacuously true and the base case for induction is verified. Assume X is non-empty, let x be an element of X and write Y = X \{x}. If A is any D-linear transformation on U, by the induction hypothesis there exists s ∈ R such that A(y) = y • s for all y in Y. Write I = annR(Y). Now x • I is a submodule of U. If x • I = 0, then the previous theorem implies that x would be in the D-span of Y, contradicting the D-linear independence of X, therefore x • I ≠ 0. Since U is simple, we have: x • I = U. Since A(x) − x • s ∈ U = x • I, there exists i in I such that x • i = A(x) − x • s. Define r = s + i and observe that for all y in Y we have:

y ⋅ r = y ⋅ ( s + i ) = y ⋅ s + y ⋅ i = y ⋅ s ( since i ∈ ann R ( Y ) ) = A ( y ) {\displaystyle {\begin{aligned}y\cdot r&=y\cdot (s+i)\\&=y\cdot s+y\cdot i\\&=y\cdot s&&({\text{since }}i\in {\text{ann}}_{R}(Y))\\&=A(y)\end{aligned}}}

Now we do the same calculation for x:

x ⋅ r = x ⋅ ( s + i ) = x ⋅ s + x ⋅ i = x ⋅ s + ( A ( x ) − x ⋅ s ) = A ( x ) {\displaystyle {\begin{aligned}x\cdot r&=x\cdot (s+i)\\&=x\cdot s+x\cdot i\\&=x\cdot s+\left(A(x)-x\cdot s\right)\\&=A(x)\end{aligned}}}

Therefore, A(z) = z • r for all z in X, as desired. This completes the inductive step of the proof. It follows now from mathematical induction that the theorem is true for finite sets X of any size.

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Jacobson density theorem

Start with the simplest possible case. Write down what Jacobson density theorem claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In mathematics, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Jacobson density theorem before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Jacobson density theorem ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Jacobson density theorem

In research
Jacobson density theorem appears in mathematics research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Jacobson density theorem in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Jacobson density theorem is common in secondary-school and first-year university syllabi. It links to neighbouring topics Module theory, Theorems in ring theory, so understanding it makes those chapters shorter.
In everyday life
Look for Jacobson density theorem outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Jacobson density theorem in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Jacobson density theorem means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Jacobson density theorem out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Jacobson density theorem in simple terms?

In mathematics, more specifically non-commutative ring theory, modern algebra, and module theory, the Jacobson density theorem is a theorem concerning simple modules over a ring R. The theorem can be applied to show that any primitive ring can be viewed as a "dense" subring of the ring of linear tr…

Why does Jacobson density theorem matter?

Because it connects several mathematics ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Jacobson density theorem?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Jacobson density theorem.

Tags

  • Module theory
  • Theorems in ring theory

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