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Variational Principles in Conformation Dynamics - FU Berlin, FB MI

Variational Principles in Conformation Dynamics - FU Berlin, FB MI

Variational Principles in Conformation Dynamics - FU Berlin, FB MI

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18 II. The variational pr<strong>in</strong>cipleThe only problem left is the requirement that the basis functions were so far assumed toorthonormal. However, this can easily be circumvented. Aga<strong>in</strong>, let χ 1 ,...,χ m ∈ L 2 µ(Ω) benormalized basis functions as before, except that they are no longer assumed to be orthogonal.We can still derive a similar result:Theorem II.10 (Roothan-Hall method): For basis functions as above, the l<strong>in</strong>ear comb<strong>in</strong>ationthat maximizes the Rayleigh coefficient is given by the solution b 1 correspond<strong>in</strong>g tothe greatest eigenvalue ξ 1 of the generalized eigenvalue problemH b 1 = ξ 1 S b 1 ,where H is as <strong>in</strong> Theorem II.8 and S is the overlap matrix with entriess ij = χ i | χ j µ.(II.55)(II.56)Proof. Start<strong>in</strong>g out the same way as <strong>in</strong> Theorem II.8, wefirsthavetoreformulatethenormalization constra<strong>in</strong>t. Equation II.43 then becomes:1= ˆψmm2 = b i b j χ i | χ j µ= b i b j s ij .(II.57)i,j=1i,j=1i,j=1This results <strong>in</strong> an effective functional of the form:mmF (b 1 ,...,b m )= b i b j h ij − ξ( b i b j s ij − 1).Maximization requires the solution of:⇒ ξ0=2mb j s ij =j=1i,j=1mb j h ij − 2ξj=1mb j h ij ,j=1mb j s ij .j=1(II.58)(II.59)(II.60)for every i ∈{1,...,m}. Thisisthegeneralizedeigenvalueequationstatedabove.S<strong>in</strong>ceH issymmetric and S is positive def<strong>in</strong>ite, this problem has m real eigenvalues ξ i and correspond<strong>in</strong>geigenvectors b i which are orthonormal with respect to the S-weighted scalar product, i.e. wehave b T i S b j = δ ij . Therefore, similar to Equation II.47 - Equation II.48, wef<strong>in</strong>dforthecorrespond<strong>in</strong>g functions ˆψ i := mj=1 b i,jχ j :ˆψi |T(τ) | ˆψ mmi = b i,j b i,k χ j |T(τ) | χ k = b i,j b i,k h jk (II.61)j,k=1j,k=1 m= ξ i b i,j b i,k s j,k = ξ i b T i S b i = ξ i .j,k=1(II.62)

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