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Chapter 5: Problem 34

Parasitoids are insects that lay their eggs in, on, or close to other (host) insects. Parasitoid larvae then devour the host insect. The likelihood of the host insect escaping from being eaten depends on the number of parasitoids in her vicinity. One model for this dependence is that the probability of escaping parasitism is equal to $$ f(P)=e^{-a P} $$ where \(P\) is the number of parasitoids in the host insect's vicinity and \(a\) is a positive constant. Determine whether the probability of the host insect escaping being eaten increases or decreases with the number of parasitoids nearby.

Short Answer

Expert verified
The probability decreases as the number of parasitoids increases.

Step by step solution

01

Understand the Function

The function given is \( f(P) = e^{-aP} \), where \( e \) is the base of the natural logarithm, \( a \) is a positive constant, and \( P \) is the number of parasitoids. The function \( f(P) \) represents the probability of the host insect escaping parasitism.
02

Analyze the Behavior of the Exponent

The exponent \(-aP\) is a product of the constant \( -a \) (which is negative) and \( P \) (which is positive). As \( P \) increases, the value of \(-aP\) becomes a larger negative number. Since \( a \) is positive, more parasitoids \( P \) means the exponent becomes more negative.
03

Examine the Effect on the Exponential Function

The exponential function \( e^x \) decreases when the exponent \( x \) becomes more negative. As a result, when \( P \), the number of parasitoids, increases, \( e^{-aP} \) decreases because the exponent \(-aP\) becomes more negative with increasing \( P \).
04

Draw a Conclusion

Based on the behavior of the function \( e^{-aP} \), as the number of parasitoids \( P \) increases, the probability \( f(P) = e^{-aP} \) decreases. This means the likelihood of the host insect escaping decreases with more parasitoids.

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Probability Functions
Probability functions are mathematical functions that describe the likelihood of different outcomes in a probabilistic system. In the context of the given exercise, the function \( f(P) = e^{-aP} \) represents the probability that a host insect escapes being eaten by parasitoid larvae. Here are some key points:
  • The function is an exponential decay function, characterized by a negative exponent \(-aP\).
  • In probability functions like this one, the exponent often contains variables and constants that influence the probability.
  • As \(P\), the number of parasitoids, increases, the exponent \(-aP\) becomes more negative, causing \( e^{-aP} \) to decrease.
This indicates a lower probability of escape when more parasitoids are around. The exponential nature of the function signifies a rapid change, highlighting how quickly the chance of escape diminishes with increasing parasitoids.
Differential Calculus
Differential calculus involves the study of rates at which quantities change. It's useful for understanding how functions behave, particularly how they increase or decrease. In examining the exponential probability function \( f(P) = e^{-aP} \):
  • You can find the rate of change using the derivative, which involves applying the chain rule.
  • The derivative \( f'(P) \) would tell us how fast the probability changes as the number of parasitoids changes.
  • For this function, the derivative will result in \( f'(P) = -ae^{-aP} \), showing the rate is negative at all points, indicating a consistently decreasing probability.
This negative derivative reflects that as you increase \(P\), the function \(f(P)\) continuously decreases, offering deeper insight into the dynamics of escape probability as more parasitoids appear.
Biological Models
Biological models are mathematical representations of biological systems, used to predict behaviors and outcomes in natural settings. The function in the exercise, \( f(P) = e^{-aP} \), is a simple yet potent model for observing parasitism effects:
  • This specific model explores the relationship between parasitoid presence and the host's likelihood of escape.
  • The exponential decay captures how biological pressures (like increasing numbers of parasites) rapidly affect survival chances.
  • By adjusting the constant \(a\), scientists can adapt the model to different scenarios or types of hosts and parasitoids, making it versatile in studying various ecological interactions.
Such models are crucial for understanding complex biological systems, allowing predictions and facilitating potential interventions in real-world ecosystems.

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