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10 Nov 2019
A matrix A ? MnÃn(R) is Gramian if there is a B ? MnÃn(R) such that A = BtB. Prove that A is Gramian if and only if A is symmetric and all of its eigenvalues are non-negative. Hint: For (?), note that A is diagonalizable via an orthonormal basis {u1 , . . . , un } where ui is an eigenvector of A with eigenvalue ?i. Consider the linear operator T on Rn where T(ui) = ??iui. Now take B = [T]std and check that A = BtB.
A matrix A ? MnÃn(R) is Gramian if there is a B ? MnÃn(R) such that A = BtB. Prove that A is Gramian if and only if A is symmetric and all of its eigenvalues are non-negative. Hint: For (?), note that A is diagonalizable via an orthonormal basis {u1 , . . . , un } where ui is an eigenvector of A with eigenvalue ?i. Consider the linear operator T on Rn where T(ui) = ??iui. Now take B = [T]std and check that A = BtB.
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Reid WolffLv2
15 Sep 2019