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Quasitrace

Quasitrace 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 Quasitrace rather than just read about it. In short: In mathematics, especially functional analysis, a quasitrace is a not necessarily additive tracial functional on a C*-algebra. An additive quasitrace is called a trace.

Key takeaways

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

Reference excerpt

In mathematics, especially functional analysis, a quasitrace is a not necessarily additive tracial functional on a C*-algebra. An additive quasitrace is called a trace. It is a major open problem if every quasitrace is a trace.

Definition A quasitrace on a C*-algebra A is a map τ : A + → [ 0 , ∞ ] {\displaystyle \tau \colon A_{+}\to [0,\infty ]} such that:

τ {\displaystyle \tau } is homogeneous:

τ ( λ a ) = λ τ ( a ) {\displaystyle \tau (\lambda a)=\lambda \tau (a)} for every a ∈ A + {\displaystyle a\in A_{+}} and λ ∈ [ 0 , ∞ ) {\displaystyle \lambda \in [0,\infty )} .

τ {\displaystyle \tau } is tracial:

τ ( x x ∗ ) = τ ( x ∗ x ) {\displaystyle \tau (xx^{*})=\tau (x^{*}x)} for every x ∈ A {\displaystyle x\in A} .

τ {\displaystyle \tau } is additive on commuting elements:

τ ( a + b ) = τ ( a ) + τ ( b ) {\displaystyle \tau (a+b)=\tau (a)+\tau (b)} for every a , b ∈ A + {\displaystyle a,b\in A_{+}} that satisfy a b = b a {\displaystyle ab=ba} .

and such that for each n ≥ 1 {\displaystyle n\geq 1} the induced map

τ n : M n ( A ) + → [ 0 , ∞ ] , ( a j , k ) j , k = 1 , . . . , n ↦ τ ( a 11 ) + . . . τ ( a n n ) {\displaystyle \tau _{n}\colon M_{n}(A)_{+}\to [0,\infty ],(a_{j,k})_{j,k=1,...,n}\mapsto \tau (a_{11})+...\tau (a_{nn})}

has the same properties. A quasitrace τ {\displaystyle \tau } is:

bounded if

sup { τ ( a ) : a ∈ A + , ‖ a ‖ ≤ 1 } < ∞ . {\displaystyle \sup\{\tau (a):a\in A_{+},\|a\|\leq 1\}<\infty .}

normalized if

sup { τ ( a ) : a ∈ A + , ‖ a ‖ ≤ 1 } = 1. {\displaystyle \sup\{\tau (a):a\in A_{+},\|a\|\leq 1\}=1.}

lower semicontinuous if

{ a ∈ A + : τ ( a ) ≤ t } {\displaystyle \{a\in A_{+}:\tau (a)\leq t\}} is closed for each t ∈ [ 0 , ∞ ) {\displaystyle t\in [0,\infty )} .

Variants A 1-quasitrace is a map A + → [ 0 , ∞ ] {\displaystyle A_{+}\to [0,\infty ]} that is just homogeneous, tracial and additive on commuting elements, but does not necessarily extend to such a map on matrix algebras over A. If a 1-quasitrace extends to the matrix algebra M n ( A ) {\displaystyle M_{n}(A)} , then it is called a n-quasitrace. There are examples of 1-quasitraces that are not 2-quasitraces. One can show that every 2-quasitrace is automatically a n-quasitrace for every n ≥ 1 {\displaystyle n\geq 1} . Sometimes in the literature, a quasitrace means a 1-quasitrace and a 2-quasitrace means a quasitrace.

Properties A quasitrace that is additive on all elements is called a trace. Uffe Haagerup showed that every quasitrace on a unital, exact C*-algebra is additive and thus a trace. The article of Haagerup was circulated as handwritten notes in 1991 and remained unpublished until 2014. Blanchard and Kirchberg removed the assumption of unitality in Haagerup's result. As of today (August 2020) it remains an open problem if every quasitrace is additive. Joachim Cuntz showed that a simple, unital C*-algebra is stably finite if and only if it admits a dimension function. A simple, unital C*-algebra is stably finite if and only if it admits a normalized quasitrace. An important consequence is that every simple, unital, stably finite, exact C*-algebra admits a tracial state. Every quasitrace on a von Neumann algebra is a trace.

Notes

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Quasitrace

Start with the simplest possible case. Write down what Quasitrace 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 Quasitrace 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 Quasitrace 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 Quasitrace

In research
Quasitrace 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 Quasitrace 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
Quasitrace is common in secondary-school and first-year university syllabi. It links to neighbouring topics Functional analysis, so understanding it makes those chapters shorter.
In everyday life
Look for Quasitrace 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 Quasitrace in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Quasitrace 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 Quasitrace out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Quasitrace in simple terms?

In mathematics, especially functional analysis, a quasitrace is a not necessarily additive tracial functional on a C*-algebra. An additive quasitrace is called a trace.

Why does Quasitrace 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 Quasitrace?

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 Quasitrace.

Tags

  • Functional analysis

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