I_ab
Derivation of differential equations describing evolution of spin concentrations
1. Reaction rates and partial conversion rates
4. Expression in terms of spin (monomer) concentrations
clean up workspace
reset()
Write properly balanced reactions equations:
Transition A:
(1) (2)
Ra<=>Rb
Constants: k_1_A (forward), k_2_A (reverse).
Write reaction rates
Introduction.
We distinguish reaction rates (Rate, elementary reaction acts per unit time) and conversion rates (dc/dt, number of moles of the specific species consumed/produced per unit time). Conversion rates, dc/dt, for species are related to reaction rates, Rate, through molecularity coefficients.
To compute conversion rates, we need to distinguish partial conversion rates from net (overall) conversion rates. The net conversion rate is actual rate of change in measured concentration of the species. Partial conversion rate is a conversion rate of the species observed along the specific branch of the reaction mechanism. Summing partial conversion rates of the species one obtains the net conversion rate for this species.
Isomerization (forward transition on A: 1_A)
a reaction rate
eq1_1a:= Rate_1_A = k_1_A*Ra
a partial conversion rate of Ra: one reaction act uses one molecule of Ra
eq1_1b:= dcRadt_1_A = Rate_1_A * (-1)
The final form
eq1_1c:= eq1_1b | eq1_1a
a partial conversion rate of Rb: one reaction makes one molecule of Rb
eq1_1d:= dcRbdt_1_A = Rate_1_A * (+1)
The final form
eq1_1e:= eq1_1d | eq1_1a
Isomerization (reverse transition on A: 2_A)
a reaction rate
eq1_2a:= Rate_2_A = k_2_A*Rb
a partial conversion rate of Ra: one reaction act makes one molecule of Ra
eq1_2b:= dcRadt_2_A = Rate_2_A * (+1)
The final form
eq1_2c:= eq1_2b | eq1_2a
a partial conversion rate of Rb: one reaction act uses one molecule of Ra
eq1_2d:= dcRbdt_2_A = Rate_2_A * (-1)
The final form
eq1_2e:= eq1_2d | eq1_2a
To define evolution of the species we need to compute concentrations as a function of time. To this end, we will write differential equations for conversion rates of all species.
In a reversible process both forward and reverse reaction occur simultaneously. Thus, the net conversion rate of the species is a difference between partial conversion rates resulting from forward and reverse reactions, summed along all branches.
Net conversion rate of Ra
Sum all pertaining partial conversion rates
eq3_1a:= dcRadt_N = dcRadt_1_A + dcRadt_2_A
Substitute using expressions for partial conversion rates
eq1_1c;
eq1_2c;
eq3_1b:= eq3_1a | eq1_1c | eq1_2c
Net conversion rate of Rb
Sum all pertaining partial conversion rates
eq3_2a:= dcRbdt_N = dcRbdt_1_A + dcRbdt_2_A
Substitute using expressions for partial conversion rates
eq1_1e;
eq1_2e;
eq3_2b:= eq3_2a | eq1_1e | eq1_2e
not needed here because we do not have oligomerization reactions: one spin in Ra is converted to one spin in Rb.
Summarize the derivation results
eq3_1b
eq3_2b
Assign order to species
eq5_1a:= Ra = C1;
eq5_1b:= Rb = C2;
Same order for net rates
eq5_2a:= dcRadt_N = dC1dt;
eq5_2b:= dcRbdt_N = dC2dt;
Restate the equations in terms of numbered species
eq5_3a:= eq3_1b | eq5_1a | eq5_1b | eq5_2a | eq5_2b
eq5_3b:= eq3_2b | eq5_1a | eq5_1b | eq5_2a | eq5_2b
Prepare results for transfer to MATLAB
To avoid typing errors when transfering derived K matrix to MATLAB we type it in here and then directly test against the derivation result from above. After that the K matrix may be transfered to MATLAB by cut-and-paste of the MuPad output.
Enter the K-matrix looking at the above results (collect terms at correspondingly numbered species).
Simple rules that allow catching mistakes in K matrix derivation:
(1) a sum of each column should be zero (so each constant must appear with both positive and negative sign), and
(2) each row has to have complete pairs of constants (i.e., if k12
appears there must be k21 in the same row with an opposite sign and so on).
K:=matrix(2,2,[
[ -k_1_A, k_2_A ],
[ k_1_A, -k_2_A ]
])
Create a column vector containing concentrations of species in numbered notation
P:=matrix(2,1,[C1, C2])
Check correctness of the entered K matrix by multiplying with P and comparing to the above equations:
Multiply K and P:
dCdt_manual_input:= K*P
Collect right-hand-side parts of equations
dCdt_mupad:=matrix(2,1,[ rhs(eq5_3a), rhs(eq5_3b)])
Compare the derivation result to manual input
dCdt_mupad=dCdt_manual_input:
normal(%);
bool(%)
=> If TRUE ---the typed K-matrix is correct.
Use this K-matrix (copy-paste output to MATLAB)
K;
I derived differential equations governing spin populations. The K matrix has been prepared for transferring to MATLAB.