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4.6.1 Symmetric Matrix

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One interesting property of a symmetric (n × n) matrix V, defined as

(4.187)

and consistent with Eq. (4.107), entails the alternate product by vector column a, of length n, viz.

(4.188)

and vector column b, also of length n, viz.

(4.189)

the product of aT as per Eq. (4.188) by V as per Eq. (4.187) reads

(4.190)

following Eq. (4.47) for the algorithm of multiplication of matrices, coupled with Eq. (4.105) to calculate aT – whereas a further multiplication of aT V by b unfolds

(4.191)

By the same token, one may write

(4.192)

based on Eqs. (4.47), (4.105), (4.187), and (4.189) – where postmultiplication by a produces

(4.193)

if subscripts i and j are exchanged – as allowed because they are dummy variables, then Eq. (4.193) becomes

(4.194)

with the aid of the interchangeability of summations (as their lower and upper bounds are unconnected), besides vi,jvj,i as per Eq. (4.187). One realizes that Eq. (4.194) mimics Eq. (4.191), i.e.

(4.195)

– as long as the products exist and V is symmetric.

Mathematics for Enzyme Reaction Kinetics and Reactor Performance

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