How Do Lambda and Beta Relate in the Exponential Decay of Foam?

In summary, the conversation discusses the formation and decay of foam, with the density function of each bubble's lifetime being determined by a exponential function with rate lambda and the total amount of foam decaying exponentially with a decay constant of beta. The relationship between these two functions is not clear, but by the law of large numbers, it can be expected that the fraction of bubbles surviving to time t is exp(-lambda*t) and thus lambda = beta.
  • #1
LucasGB
181
0
Hello,

Suppose you observe some foam. The foam is formed by a set of bubbles, and each bubble blows up after a random time. The density function of the time each bubble will take to blow up is probably exponential, with rate lambda. The total amount of foam (Q) must also decay exponentially, at a rate given by the decay constant beta.

So, we have to exponencial functions:

1) the exponencial density function that determines the lifetime of each individual buble:

f(t) = lambda*exp(-lambda*t)

2) the exponencial decay that determines the amount of foam we have at time t:

Q(t)=Q[0]*exp(-beta*t)

The relation between these two functions is not clear to me. What is the relation between lambda and beta?

Thanks in advance,

Estêvão
 
Physics news on Phys.org
  • #2
LucasGB said:
Hello,

Suppose you observe some foam. The foam is formed by a set of bubbles, and each bubble blows up after a random time. The density function of the time each bubble will take to blow up is probably exponential, with rate lambda. The total amount of foam (Q) must also decay exponentially, at a rate given by the decay constant beta.

So, we have to exponencial functions:

1) the exponencial density function that determines the lifetime of each individual buble:

f(t) = lambda*exp(-lambda*t)

2) the exponencial decay that determines the amount of foam we have at time t:

Q(t)=Q[0]*exp(-beta*t)

The relation between these two functions is not clear to me. What is the relation between lambda and beta?

Thanks in advance,

Estêvão

The probability that the bubble survives to time t is exp(-lambda*t), so if the number of bubbles is large then by the law of large numbers you'd expect that fraction of the bubbles to have survived.
 
  • #3
bpet said:
The probability that the bubble survives to time t is exp(-lambda*t), so if the number of bubbles is large then by the law of large numbers you'd expect that fraction of the bubbles to have survived.

So lambda = beta?
 

Related to How Do Lambda and Beta Relate in the Exponential Decay of Foam?

1. What is exponential decay of foam?

Exponential decay of foam refers to the gradual decrease in the volume and density of foam over time due to the breaking down of its bubbles.

2. What causes foam to decay exponentially?

Foam decays exponentially due to the diffusion of gas molecules from the bubbles into the surrounding air, causing the bubbles to collapse and the foam to shrink.

3. How does temperature affect the exponential decay of foam?

Higher temperatures can accelerate the decay of foam by increasing the rate of diffusion, while lower temperatures can slow down the decay process.

4. What factors can impact the rate of exponential decay of foam?

The rate of exponential decay of foam can be influenced by various factors such as the type of foam, temperature, humidity, and the concentration of surfactants.

5. Is there a way to slow down the exponential decay of foam?

Yes, adding stabilizers such as polymers or proteins to the foam can slow down the decay process by forming a protective layer around the bubbles and preventing gas diffusion.

Similar threads

Replies
3
Views
447
  • Introductory Physics Homework Help
Replies
3
Views
902
  • Set Theory, Logic, Probability, Statistics
Replies
12
Views
2K
  • Set Theory, Logic, Probability, Statistics
Replies
2
Views
861
Replies
1
Views
2K
  • High Energy, Nuclear, Particle Physics
Replies
3
Views
2K
  • Set Theory, Logic, Probability, Statistics
Replies
1
Views
1K
Replies
1
Views
2K
Replies
6
Views
2K
  • Set Theory, Logic, Probability, Statistics
Replies
1
Views
8K
Back
Top