The limitations of a simple model for

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In summary, the conversation discusses the concept of electrical circuits and the possibility of using electromagnetic waves as an external force in a second circuit. This can be achieved through resonance by altering the variables of the circuits to make them identical. The solution to the circuit is an alternating current that produces an electromagnetic wave.
  • #1
LoBun
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...radio transmission.. what could they be? :confused:

Not exactly Maths, I know, but its Maths that I need it for..

Thanks!
 
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  • #2
I'm not sure what you would consider a model but I've seen this in differential equations texts:

Suppose we have an electrical circuit consisting of variable resistance, capacitor, and coil. The charge on the capacitor (whose derivative is the currant in the circuit) is given by
[tex]L\frac{d^2Y}{dt^2}+ \frac{1}{C}\frac{dY}{dx}+ Ry= 0[/tex]
where L is the inductance, C the capacitance, and R the resistance in the circuit.
One can show that the solution is an alternating current that produces an electromagnetic wave.

If you have another circuit set up across the room, the waves from the first circuit will act as an external force on the second circuit. If the two circuits are identical (which can be done by altering the variable inductance, etc.) you have resonance so the very very tiny force of the waves will produce a noticable current in the second circuit.
 
  • #3


The limitations of a simple model for radio transmission could include:

1. Lack of accuracy: A simple model may not accurately represent the complex and dynamic nature of radio waves and their behavior in the real world. This could lead to inaccurate predictions and results.

2. Limited frequency range: Simple models may only work for a specific range of frequencies and may not be applicable to all types of radio transmissions. This could limit their usefulness in real-life scenarios.

3. Ignoring environmental factors: Simple models may not take into account external factors such as weather conditions, terrain, and interference from other devices, which can significantly impact radio transmission.

4. Simplified antenna design: Antennas play a crucial role in radio transmission, and a simple model may not accurately represent the complex design and functionality of different types of antennas.

5. Lack of consideration for modulation techniques: Simple models may not consider the various modulation techniques used in radio transmission, which can affect the quality and reliability of the transmission.

6. Inadequate for advanced systems: With the advancement of technology, radio transmission systems have become more complex, incorporating features like multiple antennas, adaptive coding, and diversity techniques. A simple model may not be sufficient to analyze and optimize such systems.

7. Does not account for non-linear effects: Radio transmission can experience non-linear effects such as interference, distortion, and noise, which cannot be accurately captured by a simple model.

In conclusion, while a simple model may be useful for basic understanding and initial analysis, it may not be suitable for real-world applications where accuracy and complexity are crucial. More advanced and comprehensive models are needed to overcome these limitations and provide a more accurate representation of radio transmission.
 

What are the limitations of a simple model for climate change?

A simple model for climate change may not take into account the complexity of the Earth's climate system, which is influenced by various factors such as ocean currents, clouds, and land use. It also may not accurately predict long-term changes or extreme weather events.

Why is a simple model not sufficient for studying the spread of diseases?

A simple model may not consider the individual characteristics of people, such as age, health, and behavior, which can greatly impact the spread of diseases. It also may not take into account real-world factors like travel patterns and effectiveness of prevention measures.

What are the drawbacks of using a simple model for economic forecasting?

A simple economic model may oversimplify the complex interactions between different sectors of the economy, leading to inaccurate predictions. It also may not consider external factors such as political events or natural disasters that can significantly impact the economy.

In what ways can a simple model for species distribution be limited?

A simple model may not account for the effects of human activities, such as habitat destruction and climate change, on species distribution. It also may not accurately represent the complex relationships between different species and their environments.

How does a simple model for population growth differ from a more complex model?

A simple model for population growth may only consider the basic factors of birth rate, death rate, and immigration/emigration, while a more complex model may incorporate additional factors such as age structure, disease prevalence, and environmental factors. This can lead to different predictions and may not accurately reflect real-world population dynamics.

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