Minimum Absolute Value of a nxn Matrix Determinant

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Discussion Overview

The discussion revolves around finding the arrangement of entries in a square n by n matrix, specifically the integers from 1 to n squared, that minimizes the absolute value of the determinant. The scope includes theoretical exploration and mathematical reasoning.

Discussion Character

  • Exploratory
  • Mathematical reasoning
  • Debate/contested

Main Points Raised

  • One participant poses a problem regarding the arrangement of a square n by n matrix with entries from 1 to n squared to minimize the determinant's absolute value.
  • Another participant seeks clarification on whether the matrix should contain all integers from 1 to n squared, each appearing exactly once.
  • A participant confirms that the matrix entries consist of all numbers from 1 to n squared, each occurring only once.
  • A participant analyzes the case of a 2x2 matrix, calculating possible determinants based on different arrangements and suggesting a method for generalization involving the placement of larger numbers along the main diagonal.
  • Another participant claims that for n >= 3, the minimum absolute value of the determinant is 0, providing this as an answer without proof.

Areas of Agreement / Disagreement

Participants express differing views on the arrangement strategies for minimizing the determinant, and there is no consensus on the general approach or the validity of the claim regarding the minimum determinant value for n >= 3.

Contextual Notes

The discussion includes assumptions about matrix arrangements and determinant properties that remain unresolved, particularly regarding the generalization of the approach from a 2x2 matrix to larger matrices.

skymariner
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The following matrix problem occurred to me. I figured out the answer and would like to pose the problem. It's easy but would be best for an undergrad math major. The question: Consider a square n by n matrix with entries 1, 2, ..., n squared. Find a way to arrange these entries so that the absolute value of the determinate of this matrix is a minimum.
 
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"a square n by n matrix with entries 1, 2, ..., n squared"

could you explain this a little better? Do you mean that the matrix have entries 1,2,3,...,n^2, and do all appear and only once?
 
Yes, the entries consist of all the numbers 1 to n^2 and each number occurs only once.
 
Let's see it for a 2x2 matrix. Since a transposition of rows and columns does not change the value of the matrix, and a transposition of row or columns changes the sign, it is sufficient to consider how many different rows we can form. For a 2x2 matrix, we can form the first row in 3 ways (pairing one fixed element with the other 3 elements) and the second row can be formed in the 2 possible permutations of the remaining elements, so 3x2 = 6 possible determinants. Here they are:
<br /> \left|\begin{array}{cc}<br /> 1 &amp; 2 \\<br /> <br /> 3 &amp; 4<br /> \end{array}\right| = 4 - 6 = -2<br />

<br /> \left|\begin{array}{cc}<br /> 1 &amp; 2 \\<br /> <br /> 4 &amp; 3<br /> \end{array}\right| = 3 - 8 = -5<br />

<br /> \left|\begin{array}{cc}<br /> 1 &amp; 3 \\<br /> <br /> 2 &amp; 4<br /> \end{array}\right| = 4 - 6 = -2<br />

<br /> \left|\begin{array}{cc}<br /> 1 &amp; 3 \\<br /> <br /> 4 &amp; 2<br /> \end{array}\right| = 2 - 12 = -10<br />

<br /> \left|\begin{array}{cc}<br /> 1 &amp; 4 \\<br /> <br /> 2 &amp; 3<br /> \end{array}\right| = 3 - 8 = -5<br />

<br /> \left|\begin{array}{cc}<br /> 1 &amp; 4 \\<br /> <br /> 3 &amp; 2<br /> \end{array}\right| = 2 - 12 = -10<br />

I don't see how to generalize it at this point. I would think we need to add the biggest numbers n^{2}, (n - 1)^{2}, \ldots, n^{2} - n +1 along the main diagonal, then the next along the third to the main diagonal and start inserting the smallest elements along the odd diagonals.
 
I don't want to spoil other people's fun with this so I'll give the answer without a proof:
When n >= 3, the minimum absolute value of the determinant is 0.
 

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