Is a mixed second rank tensor reducible?

In summary, the conversation discusses the concept of reducibility in mixed second rank tensors. The definition of reducible is explained and a reference from Anderson's Principles of Relativity Physics is provided for further understanding. The conversation then delves into the decomposition of a mixed second rank tensor into its irreducible parts and how it can be shown to be reducible through its transformation properties. The question asks for a demonstration of its reducibility and its irreducible parts.
  • #1
jason12345
109
0
As a complete novice, I'm reading a text which says that a mixed second rank tensor [tex]T^{u}_{v}[/tex] is reducible but don't see how. Anyone care to show me? :wink:
 
Physics news on Phys.org
  • #2
What is the definition of reducible? (I'm not sure what you mean.)
 
  • #3
robphy said:
What is the definition of reducible? (I'm not sure what you mean.)

It means it can be broken down into parts that transform among themselves.
 
  • #4
Can you provide the reference where the statement in your first post appears?
 
  • #5
robphy said:
Can you provide the reference where the statement in your first post appears?

It comes from Anderson's Principles of Relativty Physics on page 19:

" Thus from the components of a tensor T[tex]^{uv}[/tex] we can construct its symmetric part T[tex]^{(uv)}[/tex] and its antisymmetric part T[tex]^{[uv]}[/tex] according to

[tex]T^{(uv)} = 1/2(T^{uv}+ T^{vu})[/tex]

[tex]T^{[uv]} = 1/2(T^{uv}- T^{vu})[/tex]

Similarly we can construct the transformed symmetric part T[tex]^{'(uv)}[/tex] and the antisymmetric part T[tex]^{'[uv]}[/tex] from the transformed T[tex]^{'uv}[/tex]. Then, one can show that T[tex]^{'(uv)}[/tex] is a function of T[tex]^{(uv)}[/tex] and the mapping function only, and similarly for T[tex]^{[uv]}[/tex]. When ever a geometrical object can be broken up into parts that transform among themselves, we say that we have a reducible object. If no such decomposition as possible. we have an irreducible object.
 
  • #6
OK, I see now.
I take it you are referring to Problem 1.7...
where they are telling you to "decompose" [itex]T_\nu{}^\mu[/itex]
into irreducible parts consisting of
its "trace" [itex]T_\mu{}^\mu[/itex] and
a "traceless " (or "trace-free") tensor (which they give as [itex]T_\nu{}^\mu-\frac{1}{4}\delta_\nu{}^\mu T_\rho{}^\rho[/itex] on the assumption one is working in a 4-dimensional space).

So, basically they have told you to write [itex]T_\nu{}^\mu[/itex]
as a sum of two tensors, one of which they gave you:
[itex]T_\nu{}^\mu = \mbox{(trace-part tensor)}_\nu{}^\mu + \mbox{(trace-free tensor)}_\nu{}^\mu [/itex]
 
  • #7
robphy said:
OK, I see now.
I take it you are referring to Problem 1.7...
where they are telling you to "decompose" [itex]T_\nu{}^\mu[/itex]
into irreducible parts consisting of
its "trace" [itex]T_\mu{}^\mu[/itex] and
a "traceless " (or "trace-free") tensor (which they give as [itex]T_\nu{}^\mu-\frac{1}{4}\delta_\nu{}^\mu T_\rho{}^\rho[/itex] on the assumption one is working in a 4-dimensional space).

So, basically they have told you to write [itex]T_\nu{}^\mu[/itex]
as a sum of two tensors, one of which they gave you:
[itex]T_\nu{}^\mu = \mbox{(trace-part tensor)}_\nu{}^\mu + \mbox{(trace-free tensor)}_\nu{}^\mu [/itex]

Yes. The question says: "show that it is reducible *and* its irreducuble parts are...". So I would have thought you should be able to first show its reducible from the transformation properties of a mixed second rank tensor, rather than being told what the irreducible components are and from that showing its reducible :smile
 

FAQ: Is a mixed second rank tensor reducible?

What is a mixed second rank tensor?

A mixed second rank tensor is a mathematical object that represents the relationship between two vector spaces. It is a combination of two types of coordinates - contravariant and covariant - and has two indices, one for each type of coordinate.

What does it mean for a mixed second rank tensor to be reducible?

A mixed second rank tensor is reducible if it can be broken down into a sum of simpler tensors. This means that the tensor can be expressed in terms of other tensors that have fewer indices and are easier to work with.

How is a mixed second rank tensor reduced?

A mixed second rank tensor can be reduced by using the index notation and applying the summation convention. This involves summing over repeated indices and using transformation rules to simplify the tensor into a sum of simpler tensors.

What is the importance of reducing a mixed second rank tensor?

Reducing a mixed second rank tensor makes it easier to work with in mathematical calculations and applications. It also helps to identify and understand the underlying structure and relationships within the tensor.

Can all mixed second rank tensors be reduced?

No, not all mixed second rank tensors can be reduced. In order for a mixed second rank tensor to be reducible, it must satisfy certain conditions, such as having a symmetric or antisymmetric structure. Tensors with more complex structures may not be reducible or may require more advanced techniques for reduction.

Similar threads

Back
Top