Matrix Inversion And the Solution of Linear Equations

Cover Matrix Inversion And the Solution of Linear Equations
Matrix Inversion And the Solution of Linear Equations
J H Curtiss
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2) is to prove that b. = j "b'' ^ j, at the same time showing that | b "^ j :; ^i^i * ^'® have |a"l!.^M = ^ b'^""^ k?!
^^ k^i a ik /t b. R.^a^^/ « Ostrowski (1952) 1-41 "'e leave the remainder of the proof of (1. 4. 2) to the reader. A3 for (1. 4. 3), we have a b -1 .^V^ %h^^1^ h I r* Ik The reader should have no difficulty in proceedins; from here. ) '''} 10. Let A = a '^ be a complex n x n matrix and letos be a L -I -^ g \ complex n X 1 matrix with elements y"^, y'^, •••^ y^ • Further, let A
...and*Y^have the following property; ii > y ij , i = 1, , n, where r is some positive num. Ber. Prove that the system of linear equations represented by A € -^ has a unique solution /J IP T-l 111 C =(x, x, ... , x) such that Ix | ^ r, 1 - 1, ... , n.
(Hint: Of course the existence and uniqueness of the solution I kl I 1 1 21 is assured by Exercise B. Let |x ! be the maximum of x, ^ ]' ... , |x"|, and suppose that |x^|= r, in contradiction to the con- clusion stated above. Consider the eqiiation -a x r -y *^^ x .


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