21.10.2014 Views

Physical Chemistry 3: — Chemical Kinetics — - Christian-Albrechts ...

Physical Chemistry 3: — Chemical Kinetics — - Christian-Albrechts ...

Physical Chemistry 3: — Chemical Kinetics — - Christian-Albrechts ...

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

3.4 Generalized first-order kinetics* 49<br />

I Ansatz: The ansatz for solving Eq. 3.58 assumes that we can express A in terms of<br />

another vector B, 25 A = P · B (3.59)<br />

where P · B means the dot product, using a rotation matrix P which is defined so that<br />

it diagonalizes K via the eigenvalue equation K·P = P · Λ , which by multiplication<br />

from the left with P −1 yields<br />

P −1 · K · P = Λ (3.60)<br />

The eigenvalue matrix Λ is a diagonal matrix of the form<br />

⎛ ⎞<br />

1 0 0<br />

Λ = ⎝ 0 2 0<br />

0 0 . ⎠ (3.61)<br />

..<br />

As defined by Eq. 3.60, its elements on the diagonal { 1 2 } are the eigenvalues of<br />

the rate constant matrix. ThematrixP is called the eigenvector matrix associated<br />

with K. The columns of P are the respective eigenvectors <br />

associated with the<br />

respective eigenvalues .<br />

I Solution: Inserting the ansatz<br />

A = P · B (3.62)<br />

into our matrix equation 26 ·<br />

A = K · A (3.63)<br />

we have<br />

or<br />

(P · B)<br />

<br />

Muliplication of this equation from the left by P −1 gives<br />

= K · P · B (3.64)<br />

P · ·<br />

B = K · P · B (3.65)<br />

P −1 · P · ·<br />

B = P −1 · K · P · B (3.66)<br />

or<br />

·<br />

B = Λ · B (3.67)<br />

This DE can be immediately integrated since Λ is diagonal. The solution is<br />

B = Λ B 0 (3.68)<br />

where Λ is a diagonal matrix with elements © 1 2 ª , and Λ B 0 means<br />

element-wise multiplication. The result gives the time dependence of B, i.e., B()<br />

starting from the initial values B 0 .<br />

25 The components of B will be seen to be linear combinations of the components of the concentration<br />

vector A. B is immediately obtained once we have the matrix of eigenvectors P (see below).<br />

26 The dot above a concentration vector indicates differentiation by .

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!