Real life phenomenon that can be modeled by this curve?

In summary, the function y=1/x can be used to model the growth of a virus, but a better equation for modeling population growth is to consider the linear function $a(y) = (b-cy)y$.
  • #1
das1
40
0
Is there any real life phenomenon that can be modeled by the curve:

S(t) = 1/(1+e^-t) ?

in the range between t=-5 and t=5

Thanks!
 
Physics news on Phys.org
  • #3
That's awesome, thank you!

How about the function y=1/x ?

Is there anything in reality that can be modeled by this function?

Thanks!
 
  • #4
das said:
That's awesome, thank you!

How about the function y=1/x ?

Is there anything in reality that can be modeled by this function?

Thanks!

Hilbert transform, which is quite useful for communication transmission. y=1/x is the convolution kernel. Hilbert transform - Wikipedia, the free encyclopedia
 
  • #5
das said:
How about the function y=1/x ?

Is there anything in reality that can be modeled by this function?
The electric potential of a point charge decreases as $1/x$ where $x$ is the distance.
 
  • #6
das said:
Is there any real life phenomenon that can be modeled by the curve:

S(t) = 1/(1+e^-t) ?

in the range between t=-5 and t=5

Thanks!

Suppose $y(t)$ is the growth of a virus at time $t$. This quantity is usually modeled by the basic equation $y' = ay$ where $a$ is some positive constant.

However, this equation has limitation as it does not take growth constraints into account. A better equation for a population model that takes population limitations into account is to rather consider $y' = a(y) \cdot y$ where $a(y)$ depends on the quantity $y$, it gets smaller as $y$ gets larger. The simplest type of such a function is the linear function $a(y) = (b - cy)$ where $b,c$ are positive constants. Note that if $y$ is small then $b-cy \approx b$ and so we are back to the equation $y' = by$. However, the constant of growth gets smaller as $y$ increases.

This model $y' = (b-cy)y'$ of growth leads to the solution every similar to what you just posted.
 

FAQ: Real life phenomenon that can be modeled by this curve?

What is the equation for this curve?

The equation for this curve is y = ax^2 + bx + c, where a, b, and c are constants that determine the shape and position of the curve.

What is the significance of this curve in real life?

This curve is commonly used to model a wide range of natural phenomena, such as the trajectory of a projectile, the growth of a population, or the motion of a pendulum. It can also represent the shape of many physical objects, such as parabolic mirrors or suspension bridges.

How is this curve derived from real life data?

This curve can be derived from real life data by using a process called regression analysis. This involves finding the best-fitting curve that represents the relationship between the independent and dependent variables in the data.

Can this curve accurately predict future events?

While this curve can provide a good approximation of real life phenomena, it is important to note that it is a model and not a perfect representation of reality. Therefore, its predictions may not always be completely accurate, especially for complex systems with many variables.

Are there any limitations to using this curve in scientific research?

One limitation of using this curve is that it assumes a constant rate of change, which may not always hold true in real life. Additionally, the accuracy of the curve depends on the quality and quantity of data used to derive it. It is important for scientists to carefully consider the appropriateness of this curve for their research and to use it in conjunction with other models and methods.

Back
Top