Solving Superposition Problem: Find a3 and Bint

The resulting wave is also in the form of a sine function with a new amplitude, which can be found using the principle of superposition. So, in summary, when two harmonic waves are superposed, the resulting wave is a sine wave with a phase shift and a new amplitude, which can be found using trigonometric identities.
  • #1
FoolishMortal
2
0
The superposition of two harmonic waves:
u1 = B * sin( a1(r) )
u2 = B * sin( a2(r) )
results in a sinusoidal wave of the form:
uint = Bint * sin( a3(r) )
Find a3 and Bint

I'm not sure what to do. I can't think of any way to get it into that "form". http://scienceworld.wolfram.com/physics/Interference.html (5) on that link gives the form I would expect.
I think the "int" subscript is talking about intensity, and I'm not sure but I don't think either u1 or u2 depend on time.
Can anyone help?
 
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  • #2
Try looking up some trig identities for sine functions. Is there one involving the addition of two sine waves and getting another sine wave with a phase shift?
 
  • #3


I would first clarify the problem by asking for more information. Is this a theoretical or experimental problem? Are we dealing with a specific physical system or is this a general case? Can we assume that the waves are propagating in the same medium and in the same direction? These details are important in order to provide an accurate and relevant solution.

Assuming that this is a theoretical problem and the waves are propagating in the same medium and direction, we can use the principle of superposition to solve for a3 and Bint. The principle states that when two or more waves overlap, the resulting wave is the algebraic sum of the individual waves.

In this case, we have two harmonic waves u1 and u2, with amplitudes B and frequencies a1 and a2, respectively. The resulting wave uint also has an amplitude Bint and frequency a3. Using the principle of superposition, we can write the following equation:

uint = u1 + u2

Substituting the given expressions for u1 and u2, we get:

Bint * sin(a3(r)) = B * sin(a1(r)) + B * sin(a2(r))

Now, using the trigonometric identity sin(a + b) = sin(a)cos(b) + cos(a)sin(b), we can rewrite the equation as:

Bint * sin(a3(r)) = 2B * sin[(a1(r) + a2(r))/2]cos[(a1(r) - a2(r))/2]

Comparing this with the form given in the link provided, we can see that:

a3(r) = (a1(r) + a2(r))/2
Bint = 2B * cos[(a1(r) - a2(r))/2]

Therefore, to solve for a3 and Bint, we need to know the values of a1 and a2 at a specific point in space, and the value of B. We can then use these equations to calculate a3 and Bint.

In conclusion, the superposition of two harmonic waves can be solved using the principle of superposition. By equating the resulting wave to the sum of the individual waves, we can obtain the values of a3 and Bint. However, the specific values of a1, a2, and B are needed to solve for these variables.
 

1. What is the superposition problem?

The superposition problem is a concept in quantum mechanics where a system can exist in multiple states simultaneously. This means that an object can be in two or more places at the same time.

2. How is superposition problem solved?

To solve the superposition problem, we use mathematical equations and principles, such as Schrödinger's equation and the principle of superposition. These allow us to calculate the probabilities of finding a system in different states and determine the actual state of the system.

3. What is the significance of finding a3 and Bint in solving the superposition problem?

Finding a3 and Bint allows us to determine the coefficients for the different states of a quantum system. These coefficients represent the probabilities of finding the system in each state and are crucial in solving the superposition problem.

4. Can the superposition problem be solved for any system?

Yes, the superposition problem can be solved for any quantum system. However, the complexity of the calculations and the accuracy of the results may vary depending on the system and the available information.

5. Are there real-world applications for solving the superposition problem?

Yes, the superposition problem has many real-world applications, such as quantum computing, cryptography, and quantum teleportation. Understanding and solving the superposition problem is crucial for advancing these technologies and our understanding of the quantum world.

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