Math Methods for Physicists by Arfken Questions?

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SUMMARY

The discussion focuses on the application of equations from "Math Methods for Physicists" by Arfken and Weber (6th ed.) regarding tensor analysis. Specifically, it addresses the transformation of tensors from 4-D Minkowski space-time to 11-D dimensions as proposed in string theory, emphasizing the independence of equations 2.66 from the dimensionality of the space. Participants clarify the distinction between tensor rank and dimension, noting that while the rank of a tensor determines the number of indices, the equations themselves remain valid across different dimensions. The conversation highlights the implicit understanding of dimensionality in tensor equations.

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  • Understanding of tensor rank and dimension
  • Familiarity with Minkowski space-time concepts
  • Knowledge of tensor equations, specifically equations 2.66 from Arfken and Weber
  • Basic principles of string theory and its dimensional proposals
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  • Study the implications of tensor transformations in different dimensional spaces
  • Explore the mathematical foundations of string theory and its dimensionality
  • Review tensor analysis techniques in "Math Methods for Physicists" by Arfken and Weber
  • Investigate the relationship between tensor rank and matrix representation in various dimensions
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Physicists, mathematicians, and students studying advanced topics in theoretical physics, particularly those interested in tensor analysis and string theory.

Abolaban
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Hello Big Minds,

I am reading through Math Methods for Physicists by Arfken and Weber 6th ed --Tensor Analysis.

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Note1:
In page 133, in the foot note it is said that "In N-dimensional space a tensor of rank n has N^n componenets"...in page 135 I understood from the written text that Contravariant, Covariant and Mixed tensors set of equations (2.66) works independent of reference frame and space dimension.
Q1: how can one use equations 2.66 to transform from 4-D (Minkowiski space-time) )to 11-D dimension (as one proposal of String theory) for instance while both sides of Tensors in equations 2.66 must have the same rank (this case of rank 2)? Simply speaking, the number of Tensor's indices depend on the rank of the tensor and the rank of the tensor depends on the dimension but equations 2.66 are independent of the dimension...how is that?
plus his indices of coordinate transformation of contravariant were defined in the subscript first 2.62a but they apear in the superscript in the first equation of 2.66...why? (they must be the same as in this link)

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Abolaban
 
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I think you're confusing rank with dimension.

A tensor of rank 2 is like a matrix. In 3 dimensions the matrix would be 3x3, for 4 dimensions 4x4 and for 11 dimensions it would be 11x11.

The dimension comes into play in a tensor in the value of the indices ie I and j values for 3 dimensions would be { 1, 2, 3 } and for 11 would be { 1, 2, 3, ... 11 }
 
Thanks "jedishrfu" for ur reply,

do you mean that equations 2.66 depend implicitly on dimensions?
 
I guess you could say that. It's understood by the reader what values the indices may take and so if you as the author are stating these equations then you would've also said the dimension of the space in which they are valid.
 
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