How Does Positivity in C*-Algebras Relate to Their Representations?

In summary, the conversation discusses the relationship between positive elements in a C*-algebra and their images under a faithful nondegenerate representation. The concept of positive elements and their definition in a C*-algebra is also clarified. The conversation suggests that one implication, where a positive element implies a positive image under the representation, is obvious. However, the other implication may involve the concepts of faithfulness and nondegeneracy.
  • #1
Oxymoron
870
0
If I have a faithful nondegenerate representation of a C*-algebra, A:

[tex]\pi\,:\,A \rightarrow B(\mathcal{H})[/tex]

where [itex]B(\mathcal{H})[/itex] is the set of all bounded linear operators on a Hilbert space. And just suppose that [itex]a\geq 0 \in A[/itex]. How is the fact that a is positive got anything to do with [itex]\pi(a)[/itex] being positive?

Apparantly there is an if and only if relationship!? How does one begin to prove something like [itex]a\geq 0 \Leftrightarrow \pi(a) \geq 0 \in B(\mathcal{H})[/itex]?
 
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  • #2
Define positive for me again for a C* alg.
 
  • #3
Let [itex]A[/itex] be a C*-algebra, and [itex]a,b \in A[/itex]. Then [itex]a\geq b[/itex] if [itex]a-b[/itex] has the form [itex]c^*c[/itex] for some [itex]c\in A[/itex]. In particular, [itex]a[/itex] is positive if [itex]a = c^*c[/itex] for some [itex]c \in A[/itex].
 
  • #4
Well, one implication is obvious a positive implies pi(a) positive since pi is a *-homomorphism.

Conversely, hmm, well, faithfulness and nondegeneracy must come into it somewhere.
 

What is Representation Theory?

Representation theory is the branch of mathematics that studies the ways in which abstract algebraic structures, such as groups, rings, and fields, can be represented as linear transformations of vector spaces. It provides a powerful tool for understanding and classifying these structures by associating them with concrete objects and operations.

What are the applications of Representation Theory?

Representation theory has a wide range of applications in both mathematics and physics. In mathematics, it is used to study the structure of algebraic objects, solve equations, and classify symmetries. In physics, it is used to understand the properties of particles and their interactions, as well as to study symmetry-breaking phenomena. It also has applications in other fields such as computer science and chemistry.

What are the basic concepts in Representation Theory?

The basic concepts in Representation Theory include vector spaces, linear transformations, groups, group representations, and irreducible representations. Other important concepts include characters, tensor products, and modules. A thorough understanding of linear algebra and abstract algebra is necessary for studying Representation Theory.

What are the differences between finite and infinite-dimensional representations?

Finite-dimensional representations are those in which the vector space has a finite basis, while infinite-dimensional representations have an infinite basis. In finite-dimensional representations, the algebraic structure can be completely understood by studying a finite number of matrices, while in infinite-dimensional representations, the structure is more complex and requires advanced mathematical tools. Additionally, finite-dimensional representations are often used in applications, while infinite-dimensional representations are more theoretical in nature.

How is Representation Theory related to other branches of mathematics?

Representation theory has connections with many other areas of mathematics, including number theory, algebraic geometry, topology, and combinatorics. It also has links with physics, especially with quantum mechanics and quantum field theory. Representation theory has also been used in cryptography, coding theory, and other areas of computer science. Understanding these connections can provide insights and applications in various fields.

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