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. Author manuscript; available in PMC: 2014 Oct 2.
Published in final edited form as: Am Math Mon. 2014 Mar 1;121(3):258–259. doi: 10.4169/amer.math.monthly.121.03.258

Hadamard’s Determinant Inequality

Kenneth Lange 1
PMCID: PMC4183455  NIHMSID: NIHMS606933  PMID: 25284823

Abstract

This note is devoted to a short, but elementary, proof of Hadamard’s determinant inequality.


Let X be an n × n matrix with complex entries and columns x1, …, xn. Hadamard’s determinant inequality [2] reads

detXi=1n||xi||2.

Horn and Johnson [1] supply at least a half dozen proofs for this classical result. Hadamard’s inequality is obviously true if any xi = 0. If we assume otherwise and divide both sides by the right-hand side, then Hadamard’s inequality reduces to the inequality |detX| ≤ 1 subject to the Euclidean length constraints ||xi||2 = 1. Equality is attained by taking X to be the identity matrix I or any unitary matrix. Recall that a unitary matrix X has orthonormal columns and consequently satisfies

detX2=detXdetX=det(XX)=detI=1.

In view of Weierstrass’ theorem, the necessarily positive maximum of |detX| is attained on the compact set defined by the constraints. Suppose X has columns of unit length and yields the maximum value, but two columns of X, say the first two, are not orthogonal. Let us demonstrate that |detX| can be increased by replacing the first column by the linear combination y1 = ax1+bx2 for carefully chosen complex scalars a and b. The determinant of the new matrix Y satisfies

detY=det(ax1+bx2,x2,x3,,xn)=adetX.

We force y1 to be a unit vector by imposing the constraint

a2+b2+2Re(a¯bs)=1,s=x1x2.

The Cauchy-Schwarz inequality implies |s| ≤ 1. Furthermore, s ≠ 0 by assumption, and |s| ≠ 1, for otherwise x1 and x2 are collinear and detX vanishes. The reader can check that we may choose

(ab)=(11-s2-s¯1-s2).

Since a > 1, the identity detY = a detX shows that |detY| > |detX|. This contradiction proves that X has orthonormal columns, so it is unitary and |detX| = 1.

References

  • 1.Horn RA, Johnson CR. Matrix Analysis. 2. Cambridge University Press; Cambridge: 2013. [Google Scholar]
  • 2.Hadamard J. Résolution d’une question relative aux déterminants. Bulletin des Sciences Math. 1893;2:240–246. [Google Scholar]

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