Quadratic forms of symmetric matrices

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Discussion Overview

The discussion centers on symmetric matrices and their associated quadratic forms, exploring both definitions and examples. Participants inquire about the properties of symmetric matrices, how to derive quadratic forms from them, and the reverse process of constructing symmetric matrices from given quadratic forms. The scope includes theoretical explanations and specific examples related to linear algebra.

Discussion Character

  • Technical explanation
  • Conceptual clarification
  • Debate/contested
  • Mathematical reasoning

Main Points Raised

  • One participant asks for clarification on what constitutes a symmetric matrix and the meaning of quadratic forms in relation to the standard basis.
  • Another participant explains that a symmetric matrix is defined by the property aij = aji and describes how to obtain the quadratic form from a matrix using vector multiplication.
  • A participant provides specific examples of calculating quadratic forms for both a 2x2 and a 3x3 symmetric matrix, detailing the resulting expressions.
  • One participant expresses confusion about how to identify which coefficients from a quadratic equation correspond to elements in the matrix, particularly for 3x3 matrices.
  • Another participant describes the process of deriving a symmetric matrix from a given quadratic form, detailing how to assign coefficients to the matrix elements while maintaining symmetry.
  • A later reply notes that symmetric matrices are diagonalizable and introduces the concept of a new basis that can simplify the representation of the quadratic form.

Areas of Agreement / Disagreement

Participants generally agree on the definitions and properties of symmetric matrices and quadratic forms, but there is some confusion regarding the application of these concepts, particularly in transitioning between quadratic forms and their corresponding matrices. The discussion remains unresolved in terms of fully clarifying the process for 3x3 matrices.

Contextual Notes

Some participants express uncertainty about the relationships between coefficients in quadratic forms and their corresponding matrix elements, particularly in higher dimensions. There are also assumptions about the order of variables that may affect the resulting matrix structure.

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hi i just wanted a quick explanation of what a symmetric matrix is and what they mean by the quadratic form by the standard basis?

(1)
for example why is this a symmetric matrix

[1 3]
[3 2]

and what is the quadratic form of the matrix by the standard basis?

(2)
also how would i go about figuring out the quadratic form corresponding to the matrix by the standard basis for
[ 0 1 1]
[ 1 3 5]
[ 1 5 0]
 
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The first one is a symmetric matrix because it IS symmetric! aij= aji.

You get the quadratic form of an n by n matrix by multiplying the row vector [x1, x2, ..., xn] times the matrix times the column vector [x1, x2, ..., xn]T.

You get the quadratic form by multiplying the matrices
[x y]\left[\begin{array}{cc}1 & 3 \\ 3 & 1\end{array}\right]\left[\begin{array}{c}x \\ y\end{array}\right]= x^3+ 6xy+ y^2

Similarly, you get the quadratic form for a 3 by 3 matrix by multiplying
[x y z]\left[\begin{array}{ccc}0 & 1 & 1 \\ 1 & 3 & 5 \\ 1& 5 & 0\end{array}\right]\left[\begin{array}{c}x \\ y \\ z\end{array}\right]= 2y^2+ 2xy + 2xz+ 10yz

Notice that given ANY matrix, doing that gives a quadratic form. Going the other way, there are many matrices corresponding to a given quadratic form- but only one symmetric matrix.
 
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Draw a line from corner to corner, tilt your head to the left a little bit and check the elements on the left and right...
 
How do you know which elements in the quadratic equation go into which spots in the matrix .. for a two by two it seems easy as [1 goes with x^2 1 at the bottom right goes with y^2 and the two 3's are from 3xy +3xy


but i don't get the 3 x 3 matrices from that equation :frown:
 
Oh, now you are going the other way- from the quadratic form to the symmetric matrix!

If we have, for example, x^2- 4xy+ y^2+ 5xz+ 2yz+ z^2, I would notice first the coefficients of x^2, y^2, z^2. They will be the diagonal elements. (In whatever order I choose to put x, y, and z in the vector- if it in that order, they would be top left, center, bottom right).

To find the other numbers, look at the coefficient of xy: -4. Since x and y are the "first" and "second" in order (I just choose them that way) I would put that coefficient in the "first row, second column" and "second row, first column", dividing it equally, -2 in each, between them in order that the matrix be symmetric.

The coefficient of xz (first and third variables in my order) is 5. Put 5/2 in the "first row, third column" and 5/2 in the "third row, first column".

Finally, the coefficient of yz (second and third variables) is 2. Put 1 in the "second row, third column" and 1 in the "third row, second column".

\left[\begin{array}{ccc} x & y & z\end{array}\right]\left[\begin{array}{ccc}1 & -2 & \frac{5}{2} \\ -2 & 1 & 1 \\\frac{5}{2} & 1 & 1\end{array}\right]\left[\begin{array}{ccc} x \\ y \\ z\end{array}\right]= x^2- 4xy+ y^2+ 5xz+ 2yz+ z^2
 
Alright thanks a lot makes sense :)
 
And, since the matrix is symmetric, it is diagonalizable. There exist a new "basis" (i.e. new coordinate system) in which the matrix is diagonal. Those give the "principle directions" for the surface define by the quadratic form.
 

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