Q1. Consider the following batch chemical system which we wish to model similarly to A=B-P The time evolution of the system is given according to the following model equations: d[B] dt d[P] dt d[A] dt = k₁[A]-(K-1 + K2)[B], = K₂[B]. = -K₁[A] + k-1[B], The rate coefficients are k₁= 10−4 s−¹, k_₁ = 10-²-1, and k₂ = 10-³ S-1 We are interested in the situation where initially (timeto), [A] = 10-7 mol/L, [B] = 0, and [P] = 0. (a) Write an analytical solution for [P] in terms of [B]. (b) Show how eigen-decomposition of the first two differential equations IVPs can be used to determine [A] and [B] as a function of time. (c) Write the entire set of equations in matrix vector form dv(t) dt -=Mv(t) where M is a 3*3 square matrix and v is a column vector. What is the initial condition vector v(t.)? (d) Although it is convenient to transform the matrix M to a diagonal form that is not always possible. If M is singular, does that imply it is not diagonalizable? Is M being singular a necessary condition for this system of differential equations to have a non-trivial steady state solution (other than v(t))?
Q1. Consider the following batch chemical system which we wish to model similarly to A=B-P The time evolution of the system is given according to the following model equations: d[B] dt d[P] dt d[A] dt = k₁[A]-(K-1 + K2)[B], = K₂[B]. = -K₁[A] + k-1[B], The rate coefficients are k₁= 10−4 s−¹, k_₁ = 10-²-1, and k₂ = 10-³ S-1 We are interested in the situation where initially (timeto), [A] = 10-7 mol/L, [B] = 0, and [P] = 0. (a) Write an analytical solution for [P] in terms of [B]. (b) Show how eigen-decomposition of the first two differential equations IVPs can be used to determine [A] and [B] as a function of time. (c) Write the entire set of equations in matrix vector form dv(t) dt -=Mv(t) where M is a 3*3 square matrix and v is a column vector. What is the initial condition vector v(t.)? (d) Although it is convenient to transform the matrix M to a diagonal form that is not always possible. If M is singular, does that imply it is not diagonalizable? Is M being singular a necessary condition for this system of differential equations to have a non-trivial steady state solution (other than v(t))?
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
Related questions
Question
Can anyone here solve this question? At least 2 parts if not all but please correctly and handwritten
![Q1. Consider the following batch chemical system which we
wish to model similarly to
A=B-P
The time evolution of the system is given according to the
following model equations:
=-k₁[A] + K-1[B],
d[B]
dt
= k₁[A]-(k-1 + K₂)[B],
d[P]
dt
d[A]
dt
= K₂[B].
The rate coefficients are k₁ = 10-4s-¹, k-₁ = 10-² S-¹, and k₂
We are interested in the situation where initially
(timeto), [A] = 10-7 mol/L, [B] = 0, and [P] = 0.
= 10-3 S-1
(a) Write an analytical solution for [P] in terms of [B].
(b) Show how eigen-decomposition of the first two differential
equations IVPS can be used to determine [A] and [B] as a
function of time.
(c) Write the entire set of equations in matrix vector form
dv(t)
=Mv(t)
dt
where M is a 3*3 square matrix and v is a column
vector. What is the initial condition vector v(t)?
(d) Although it is convenient to transform the matrix M to a
diagonal form that is not always possible. If M is singular, does
that imply it is not diagonalizable? Is M being singular a
necessary condition for this system of differential equations to
have a non-trivial steady state solution (other than v(t))?](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F405e7a69-2f84-44eb-b08d-4db515620f63%2Fabcec5c2-fd12-4c38-a81a-e3ebff959bdb%2Fh0eq2qn_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Q1. Consider the following batch chemical system which we
wish to model similarly to
A=B-P
The time evolution of the system is given according to the
following model equations:
=-k₁[A] + K-1[B],
d[B]
dt
= k₁[A]-(k-1 + K₂)[B],
d[P]
dt
d[A]
dt
= K₂[B].
The rate coefficients are k₁ = 10-4s-¹, k-₁ = 10-² S-¹, and k₂
We are interested in the situation where initially
(timeto), [A] = 10-7 mol/L, [B] = 0, and [P] = 0.
= 10-3 S-1
(a) Write an analytical solution for [P] in terms of [B].
(b) Show how eigen-decomposition of the first two differential
equations IVPS can be used to determine [A] and [B] as a
function of time.
(c) Write the entire set of equations in matrix vector form
dv(t)
=Mv(t)
dt
where M is a 3*3 square matrix and v is a column
vector. What is the initial condition vector v(t)?
(d) Although it is convenient to transform the matrix M to a
diagonal form that is not always possible. If M is singular, does
that imply it is not diagonalizable? Is M being singular a
necessary condition for this system of differential equations to
have a non-trivial steady state solution (other than v(t))?
Expert Solution

This question has been solved!
Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.
This is a popular solution!
Trending now
This is a popular solution!
Step by step
Solved in 3 steps with 2 images

Recommended textbooks for you

Advanced Engineering Mathematics
Advanced Math
ISBN:
9780470458365
Author:
Erwin Kreyszig
Publisher:
Wiley, John & Sons, Incorporated

Numerical Methods for Engineers
Advanced Math
ISBN:
9780073397924
Author:
Steven C. Chapra Dr., Raymond P. Canale
Publisher:
McGraw-Hill Education

Introductory Mathematics for Engineering Applicat…
Advanced Math
ISBN:
9781118141809
Author:
Nathan Klingbeil
Publisher:
WILEY

Advanced Engineering Mathematics
Advanced Math
ISBN:
9780470458365
Author:
Erwin Kreyszig
Publisher:
Wiley, John & Sons, Incorporated

Numerical Methods for Engineers
Advanced Math
ISBN:
9780073397924
Author:
Steven C. Chapra Dr., Raymond P. Canale
Publisher:
McGraw-Hill Education

Introductory Mathematics for Engineering Applicat…
Advanced Math
ISBN:
9781118141809
Author:
Nathan Klingbeil
Publisher:
WILEY

Mathematics For Machine Technology
Advanced Math
ISBN:
9781337798310
Author:
Peterson, John.
Publisher:
Cengage Learning,

