Jerzy Baksalary

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Jerzy Kazimierz Baksalary (25 June 1944 – 8 March 2005) was a Polish mathematician who specialized in mathematical statistics and linear algebra.[1] In 1990 he was appointed professor of mathematical sciences. He authored over 170 academic papers published and won one of the Ministry of National Education awards.[2]

Biography

Early life and education (1944 – 1988)

Baksalary was born in Poznań, Poland on 25 June 1944.[1] From 1969 to 1988, he worked at the Agricultural University of Poznań.[1]

In 1975, Baksalary received a PhD degree from Adam Mickiewicz University in Poznań; his thesis on linear statistical models was supervised by Tadeusz Caliński.[1][3] He received a Habilitation in 1984, also from Adam Mickiewicz University, where his Habilitationsschrift was also on linear statistical models.[1]

Career (1988 – 2005)

In 1988, Baksalary joined the Tadeusz Kotarbiński Pedagogical University in Zielona Góra, Poland, being the university's rector from 1990 to 1996.[1] In 1990, he became a "Professor of Mathematical Sciences", a title received from the President of Poland.[1] For the 1989–1990 academic year, he moved to the University of Tampere in Finland.[1] Later on, he joined the University of Zielona Góra.[1]

2005 death and legacy

Baksalary died in Poznań on 8 March 2005.[1][3] His funeral was held there on 15 March 2005.[1][3] There, Caliński praised Baksalary for his "contributions to the Poznań school of mathematical statistics and biometry".[1]

Memorial events in honor of Baksalary were also held at two conferences after his death:[1]

  • The 14th International Workshop on Matrices and Statistics, held at Massey University in New Zealand from 29 March to 1 April 2005.
  • The Southern Ontario Matrices and Statistics Days, held at the University of Windsor[4] in Canada from 9 to 10 June 2005.

Research

In 1979, Baksalary and Radosław Kala proved that the matrix equation AXYB=C has a solution for some matrices X and Y if and only if (IAA)C(IBB)=0.[5] (Here, A denotes some g-inverse of the matrix A.) This is equivalent to a 1952 result by W. E. Roth on the same equation, which states that the equation has a solution iff the ranks of the block matrices [AC0B] and [A00B] are equal.[5]

In 1980, he and Kala extended this result to the matrix equation AXB+CYD=E, proving that it can be solved if and only if KGKAE=0,KAERD=0,KCERB=0,ERBRH=0, where G:=KAC and H:=DRB.[6]Template:Rp (Here, the notation KM:=IMM, RM:=IMM is adopted for any matrix M.[6]Template:Rp)

In 1981, Baksalary and Kala proved that for a Gauss-Markov model {y,Xβ,V}, where the vector-valued variable has expectation Xβ and variance V (a dispersion matrix), then for any function F, a best linear unbiased estimator of Xβ which is a function of Fy exists iff C(X)C(TF). The condition is equivalent to stating that r(XTF)=r(X), where r() denotes the rank of the respective matrix.[7]

In 1995, Baksalary and Sujit Kumar Mitra introduced the "left-star" and "right-star" partial orderings on the set of complex matrices, which are defined as follows. The matrix A is below the matrix B in the left-star ordering, written A*<B, iff A*A=A*B and (A)(B), where () denotes the column span and A* denotes the conjugate transpose.[8]Template:Rp Similarly, A is below B in the right-star ordering, written A<*B, iff AA*=BA* and (A*)(B*).[8]Template:Rp

In 2000, Jerzy Baksalary and Oskar Maria Baksalary characterized all situations when a linear combination P=c1P1+c2P2 of two idempotent matrices can itself be idempotent.[9] These include three previously known cases P=P1+P2, P=P1P2, or P=P2P1, previously found by Rao and Mitra (1971); and one additional case where c2=1c1 and (P1P2)2=0.[9]

References

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