1973
DOI: 10.1016/0024-3795(73)90023-2
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Hadamard products and multivariate statistical analysis

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Cited by 285 publications
(102 citation statements)
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“…The eigenvalues of the MCA problem are those of E 1 and those of E 2 and so on. The largest nontrivial one is the largest eigenvalue of E 2 , the smallest nontrivial one is the smallest of E 2 [Styan, 1973]. but the order of the others is undecided.…”
Section: E M S Cmentioning
confidence: 97%
“…The eigenvalues of the MCA problem are those of E 1 and those of E 2 and so on. The largest nontrivial one is the largest eigenvalue of E 2 , the smallest nontrivial one is the smallest of E 2 [Styan, 1973]. but the order of the others is undecided.…”
Section: E M S Cmentioning
confidence: 97%
“…There is, however, much justification for the term "Schur product" and we refer the reader to [2] and [20] for an historical discussion. This concept was first investigated by Schur in his paper [17] and has since appeared in several different areas of analysis: [15], [18], [19](complex function theory); [1], [12] (Banach spaces); [21], [14], [4] (operator theory); [5], [3] (matriceal harmonic analysis) and [20] (multivariate analysis).…”
Section: First Let Us Recall the Definition Of Schur Multipliersmentioning
confidence: 99%
“…This concept was first investigated by Schur in his paper [17] and has since appeared in several different areas of analysis: [15], [18], [19](complex function theory); [1], [12] (Banach spaces); [21], [14], [4] (operator theory); [5], [3] (matriceal harmonic analysis) and [20] (multivariate analysis). If X and Y are two Banach spaces of matrices we define Schur multipliers from X to Y as the space M (X, Y ) = {M : M * A ∈ Y for every A ∈ X}, equipped with the natural norm M = sup…”
Section: First Let Us Recall the Definition Of Schur Multipliersmentioning
confidence: 99%
“…The Hadamard product of two positive semi-definite matrices is positive semi-definite; for example, see Styan (1973). In addition, the sum of two positive semi-definite matrices is positive semi-definite.…”
Section: Proof Of Propositionmentioning
confidence: 99%