Diagonalized Matrix: Solving for ds^2 using Real Functions A, B, and C"

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Homework Help Overview

The discussion revolves around the transformation of a line-element expressed as ds² = A dx² + B dy² + C dx dy into a diagonal form ds² = du² + dv², where A, B, and C are real functions of x and y. Participants are exploring methods to achieve this transformation, particularly through matrix diagonalization and coordinate transformations.

Discussion Character

  • Exploratory, Mathematical reasoning, Assumption checking

Approaches and Questions Raised

  • The original poster attempts to use total derivatives to express du and dv, but expresses uncertainty about the correctness of this approach. Another method involves finding a matrix that diagonalizes the metric tensor, raising questions about the complexity due to the functions involved.
  • Some participants suggest writing u and v as functions of x and y to clarify the differentiation process.
  • Others draw parallels to conic sections and question the feasibility of transforming to the desired form without imaginary coordinates, noting the invariance of the metric signature under real transformations.
  • One participant mentions the matrix representation of the line-element and suggests finding eigenvalues and eigenvectors to achieve diagonalization.

Discussion Status

Contextual Notes

Participants are navigating the complexities of transforming a metric with variable coefficients, which raises questions about the assumptions and constraints inherent in the problem. The discussion reflects a mix of mathematical exploration and conceptual clarification regarding the transformation process.

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Homework Statement


Show that we can always write this line-element

ds^2=Adx^2+Bdy^2+Cdxdy ; which A B and C are any real function of x and y

to this form ds^2 = du^2 + dv^2

Homework Equations


The Attempt at a Solution


I try to solve it in two way
First , I write total derivative of u as du = (du/dx)dx + (du/dy)dy and then dv = (dv/dx)dx + (dv/dy)dy

and I square both of du and dv then I can write du^2 + dv^2 = ()dx^2 + ()dy^2 + ()dxdy
but I'm not sure this is correct. :confused:

Another way to do,I have to find a matrix transform that can diagonalize my metric tensor from the first line-element. I found that, I have to find eigenvalue of these metric and then eigenfunction after that ,I compose its eigenfunction into a new metric (called U) then by follow this equation U^-1 A U = D when U^-1 is U inverse
A is the original metric
D is diagonal metric

but I have a little confused because my metric has component as an any function that make me a difficult to find metric U
 
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Your first method was on the right track, though it may be easier to see if you write u = f(x,y) and v=g(x,y), and then you follow through with differentiation getting du=(df/dx)dx+(df/dy)dy and dv=(dg/dx)dx+(dg/dy)dy, and then realizing that the derivatives of f and g are functions of x and y.

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Last edited by a moderator:
You might want to compare this with the problem of finding a standard form conic section for A*x^2+B*y^2+C*xy wherein you want eliminate the cross term xy by transforming to new coordinates. BTW, I don't think you can transform any such thing to du^2+dv^2, unless you are allowed to use an imaginary coordinate transformation. The signature of the metric should be invariant under real transformations. And yes, this is the same roughly the same thing as diagonalizing a matrix, except that you can change the eigenvalues by rescaling a coordinate.
 
Last edited:
Thank a lots both of you so Can I following the first method? or I have to fiind and imaginary coordinate transform?
 
ds2= Adx2+ Bdxdy+ Cdy2 is equivalent to the matrix multiplication
[tex]ds^2= \left[\begin{array}{cc}dx & dy \end{array}\right]\left[\begin{array}{cc}A & \frac{B}{2} \\ \frac{B}{2} & C\end{array}\right]\left[\begin{array}{c}dx \\ dy\end{array}\right][/tex]

Find the eigenvalues and eigenvectors of that 2 by 2 matrix. Since it is symmetric it has two real eigenvalues. Taking x' and y' coordinate axes in the directions of the eigenvectors, the matrix becomes diagonal with the eigenvalues on the diagonal.
 

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