Is Integration in d-Dimension Well Defined for 1<|q|<∞

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In summary, the conversation discusses dimensional regularization and integration in d-dimensions. The first question is whether the integration is well-defined in the mathematical sense for a specific range of values. The second question is about the consistency of setting mass-less tadpoles to zero in DR. The response is that for the first question, the integral should be fine, but for the second question, setting the tadpoles to zero is no longer consistent. The reasons for this are discussed, including the fact that the integral does not converge for any particular choice of d.
  • #1
kassem84
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Hello,
As you may know in the context of dimensional regularization, integration is performed in d-dimension where d can take non-integer values. For example:
[itex]\int d^{d}q f(q^2)[/itex]=S[itex]_{D}[/itex][itex]\int_{0}^{∞}q^{q-1}f(q^2)dq[/itex]
My questions are:
1) Is the integration in d-dimension performed is well defined in the mathematical sense when integration is done for: 1<|q|<∞ rather than 0<q<∞:
[itex]\int_{|q|>1} d^{d}q f(q^2)[/itex]=S[itex]_{D}[/itex][itex]\int_{1}^{∞}q^{q-1}f(q^2)dq[/itex]

2)Are tadpole mass-less integrals still equal to zero in DR?
[itex]\int_{|q|>1} d^{d}q (q^2)^{β}[/itex]= 0 for β=1,2,...

Thanks in advance.
Best regards.
 
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  • #2
With regards to 1) I think that the integral should be fine. Just imagine
f(q2) = θ(q2-1)g(q2)

But as for 2) and the massless tadpoles, no, you can no longer consistently set them to zero.

Normally, for the integral over all q, you can argue for its vanishing in two ways:

a) Dimensional analysis: The only dimensional quantity is q, with [q]=1. So The integral has dimension d + 2β. Since you integrate out q, no dimensional quantities remain, so the only consistent result is that the integral must be 0.
b) The integral does not converge for any particular choice of d. But splitting the integral in half (or wherever) and choosing different d's for each half so that it converges in both UV and IR, then recombining the integral, the UV and IR poles cancel and the result is zero.

With your integral, both arguments don't work. For a), your "1" actually has the dimensions of mass (since otherwise |q|>1 would not make sense) and so the argument fails.
For b), you no longer have an IR limit, so there is no cancellation with the UV.

Hope that helps,
Simon
 
  • #3
Thanks Simon for your answers.
 

Related to Is Integration in d-Dimension Well Defined for 1<|q|<∞

1. What is integration in d-dimension?

Integration in d-dimension refers to the process of calculating the definite or indefinite integral of a function with respect to multiple variables, where the variables can take on values in d-dimensional space. This allows for the integration of functions that depend on multiple variables, such as vectors or matrices.

2. Why is integration in d-dimension important?

Integration in d-dimension is important in many areas of science and mathematics, including physics, engineering, and statistics. It allows for the modeling and analysis of systems that involve multiple variables, and can provide insights and solutions to complex problems.

3. What are some common techniques used for integration in d-dimension?

Some common techniques for integration in d-dimension include the use of multiple integrals, such as double or triple integrals, as well as techniques such as change of variables, integration by parts, and integration by substitution. These techniques build upon the fundamental principles of single-variable integration.

4. How does integration in d-dimension differ from integration in one variable?

Integration in d-dimension differs from integration in one variable in that it involves the integration of functions with respect to multiple variables, rather than just one. This introduces additional complexity and requires the use of different techniques and methods, such as multiple integrals and vector calculus.

5. What are some real-world applications of integration in d-dimension?

There are many real-world applications of integration in d-dimension, including in physics for calculating the work done by a force on an object, in economics for calculating the area under a demand curve, and in engineering for modeling and analyzing systems with multiple variables, such as fluid flow or electric fields. It is also used in statistics for calculating probabilities and in machine learning for optimizing functions with multiple variables.

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