Laplace transform of a Taylor series expansion

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SUMMARY

The discussion focuses on the application of the Laplace transform to analyze the creep compliance of human red blood cells as described in the paper "Viscoelasticity of the human red blood cell." The expression for creep compliance is given by J(s) = 1/(As + Bs^(a+1)), where 0 ≤ a ≤ 1. The participants derive early-time and late-time behaviors using Taylor series expansions, resulting in specific approximations for J(t). The conversation highlights the utility of geometric series expansions for deriving these approximations, which were not explicitly mentioned in the original paper.

PREREQUISITES
  • Understanding of Laplace transforms, specifically L[t^a] = Γ(a+1)/s^(a+1).
  • Familiarity with Taylor series expansions and their applications in mathematical analysis.
  • Knowledge of geometric series and their convergence criteria.
  • Basic concepts of viscoelasticity and rheology in biological systems.
NEXT STEPS
  • Study the properties and applications of Laplace transforms in engineering contexts.
  • Learn about Taylor series expansions and their role in approximating functions.
  • Explore geometric series and their use in deriving series expansions in mathematical physics.
  • Investigate the rheological properties of biological materials, focusing on red blood cells.
USEFUL FOR

Researchers in applied mathematics, physicists studying material properties, and engineers working on biological systems will benefit from this discussion, particularly those interested in the mathematical modeling of viscoelastic materials.

Mapes
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I'm reading a paper on tissue cell rheology ("Viscoelasticity of the human red blood cell") that models the creep compliance of the cell (in the s-domain) as

J(s) = \frac{1}{As+Bs^{a+1}}

where 0\leq a\leq 1. Since there's no closed-form inverse Laplace transform for this expression, they explore early-time (t\rightarrow 0) and late-time (t\rightarrow \infty) behavior by using a Taylor series expansion around s\rightarrow \infty and s\rightarrow 0, respectively. This is said to yield

J(t)\approx \frac{t^a}{B\Gamma(a+1)}-\frac{At^{2a}}{B^2\Gamma(2a+1)}+\frac{A^2t^{3a}}{B^3\Gamma(3a+1)}

for the early-time behavior and

J(t)\approx \frac{1}{A}-\frac{Bt^{-a}}{A^2\Gamma(1-a)}

for the late-time behavior. However, I just can't see how these expressions arise. I know that the Laplace transform of t^a is

L[t^a]=\frac{\Gamma(a+1)}{s^{a+1}}

and so presumably

L\left[\frac{t^a}{\Gamma(a+1)}\right]=\frac{1}{s^{a+1}}\mathrm{,}\quad L\left[\frac{t^{-a}}{\Gamma(1-a)}\right]=\frac{1}{s^{-a+1}}

but I can't figure out where these terms would appear in a Taylor series expansion. When I try to expand J(s) in the manner of

f(x+\Delta x)\approx f(x) + f^\prime(x)\Delta x +\frac{1}{2}f^{\prime\prime}(x)(\Delta x)^2

I get zero or infinity for each term. Unfortunately, Mathematica is no help in investigating an expansion around s\rightarrow\infty or s\rightarrow 0; it just returns the original expression. Perhaps I'm making a silly error, or perhaps the paper skipped an important enabling or simplifying step. Any thoughts?
 
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Both series expansions below are geometric series: \frac{1}{1-x}=\sum_{k=0}^{\infty}x^k\mbox{ for }|x|<1.

For \left| {\scriptstyle \frac{B}{A}}s^{a} \right| < 1, we have

J(s) = \frac{1}{As+Bs^{a+1}} = \frac{1}{As}\cdot\frac{1}{1+{\scriptstyle \frac{B}{A}}s^{a}} = \frac{1}{As}\sum_{k=0}^{\infty}\left(-1\right)^k \left(\frac{B}{A}}\right)^k s^{ak}=\frac{1}{A}\sum_{k=0}^{\infty}\left(-1\right)^k \left(\frac{B}{A}}\right)^k s^{ak-1}

J(s) = \frac{1}{As}-\frac{B}{A^2s^{1-a}}}+\frac{B^2}{A^3s^{1-2a}}}-\cdots

hence

J(t) = \frac{1}{A}u(t)-\frac{Bt^{-a}}{A^2\Gamma (1-a)}}+\frac{B^2t^{-2a}}{A^3\Gamma (1-2a)}}-\cdots​

where u(t) is the unit step function...

And for \left| {\scriptstyle \frac{A}{B}} s^{-a} \right| < 1, we have

J(s) = \frac{1}{As+Bs^{a+1}} = \frac{1}{Bs^{a+1}}\cdot\frac{1}{ {\scriptstyle \frac{A}{B}}s^{-a}}+1} <br /> =\frac{1}{Bs^{a+1}}\sum_{k=0}^{\infty}\left(-1\right)^k \left(\frac{A}{B}}\right)^k s^{-ak}=\frac{1}{B}\sum_{k=0}^{\infty}\left(-1\right)^k \left(\frac{A}{B}}\right)^k s^{-ak-a-1}


J(s) = \frac{1}{Bs^{a+1}}-\frac{A}{B^2s^{2a+1}}+\frac{A^2}{B^3s^{3a+1}}-\cdots​

hence

J(t) = \frac{t^{a}}{B\Gamma (a+1)}-\frac{At^{2a}}{B^2\Gamma (2a+1)}+\frac{A^2t^{3a}}{B^3\Gamma (3a+1)}-\cdots​
 
Thank you benorin, that makes things perfectly clear. I've only seen the geometric series expansion once or twice before in my field and wouldn't have thought to use it. It would have been nice if the paper had mentioned that they used this technique.

Thanks again!
 

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