How to solve for gamma

Hello, I'm trying to solve for gamma in this equation, I was hoping if someone can help out.
considering everything else is a constant that can be put as an input.

2 Comments

An analytical expression for gamma does not seem possible.
Use "fzero" or "fsolve" as numerical root finders for
left-hand side(gamma) - right-hand side(gamma) = 0
Hello, I tried but It's not solving.
clc
clear all
dbs=5.3e-10;
das=1.01e-9;
cb=4e3;
ca=1e3;
x0 =0;
x = fsolve(@myfun,x0)
function F = myfun(x)
F = (1-erf(sqrt(x/dbs)))-(((cb/ca)*sqrt(dbs/das))*(erf(sqrt(x/das)))*(exp((x/das)-(x/dbs))));
end

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 Accepted Answer

Torsten
Torsten on 2 Dec 2022
Edited: Torsten on 2 Dec 2022
format long
dbs=5.3e-10;
das=1.01e-9;
cb=4e3;
ca=1e3;
x0 =0;
options = optimset('TolX',1e-14,'TolFun',1e-14);
x = fsolve(@(x)myfun(x,dbs,das,cb,ca),x0,options)
Equation solved. fsolve completed because the vector of function values is near zero as measured by the value of the function tolerance, and the problem appears regular as measured by the gradient.
x =
2.980227787591144e-08
myfun(x,dbs,das,cb,ca)
ans =
-7.180679523372318e-12
function F = myfun(x,dbs,das,cb,ca)
F = (1-erf(sqrt(x/dbs)))-(((cb/ca)*sqrt(dbs/das))*(erf(sqrt(x/das)))*(exp((x/das)-(x/dbs))));
end

5 Comments

What does the (-7e-12) resemble exactly ??
-7e-12 is the value the function actually calculates at x. Ideally you would want it to compute exactly 0, but that is not usually realistic due to floating point round-off (and the fact that you did not use as tight a tolerance as absolutely possible.)
is there a way to get x more accurately, because according to the background, x should be smaller in order (e-10)
Seems your equation has multiple solutions.
A good idea is always to plot the function to have a good guess for the solution.
dbs=5.3e-10;
das=1.01e-9;
cb=4e3;
ca=1e3;
F = @(x)(1-erf(sqrt(x/dbs)))-(((cb/ca)*sqrt(dbs/das))*(erf(sqrt(x/das))).*(exp((x/das)-(x/dbs))));
x = 0:1e-12:2e-10;
plot(x,F(x))
sol = fzero(F,[0 1e-9])
sol = 4.7822e-11
F(sol)
ans = 1.2922e-09
Thank you @Torsten!

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R2018b

Asked:

on 2 Dec 2022

Commented:

on 5 Dec 2022

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