Dimensional Analysis of an oscillation

In summary, the period of oscillation of a nonlinear oscillator depends on the mass, the restoring force constant, and the amplitude.
  • #1
Zack K
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Homework Statement


The period of oscillation of a nonlinear oscillator depends on the mass m, with dimensions M; a restoring force constant k with dimensions of ML-2T-2, and the Amplitude A, with dimensions L. Use dimensional analysis to show what the period of oscillation would be proportional to.

Homework Equations


N/A

The Attempt at a Solution


So we know that P∝ makbAc(a,b and c are numerical exponents to be determined). So rewriting P(period of oscillation) into its dimensions, we get MxML-2T-2L which then simplifies to M2L-1T-2. That is equal to Ma(M/L2T2)bLc. Then multiplying our unknown exponents into our dimensions and setting them equal to the dimension exponents on the right, we should get: a+b=2, -2b+c=-1, -2b=-2. Solving for each variable we get: b=1, a=2, c=1. Then redefining our dimensions into their respective units I got: P∝m2AK. The problem is this is not a possible solution since its a multiple choice question.
 
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  • #2
A period is a time.
 
  • #3
Orodruin said:
A period is a time.
Oh wow I feel stupid now. Anyways besides that, I thought to get the dimensions of the left hand side(in this case period) was given by multiplying the dimensions of the variables on your right hand side. Why is this not true?
 
  • #4
Zack K said:
Oh wow I feel stupid now. Anyways besides that, I thought to get the dimensions of the left hand side(in this case period) was given by multiplying the dimensions of the variables on your right hand side. Why is this not true?
It is true. That is why you can identify T with the products of the dimension on the RHS. What is not true is, eg, that ##[m^a]=[m]##, which is what you were doing. Your algebra was also off, you should have gotten a=b=c=1 with your (faulty) method, because you essentially assumed that the period could be written proportional to mkA.

You may also want to double check the dimensions you have for the force constant ...
 
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What is dimensional analysis?

Dimensional analysis is a mathematical method used to analyze and understand the physical quantities and relationships in a system. It involves breaking down the system into its fundamental dimensions and using conversion factors to describe the relationships between these dimensions.

How is dimensional analysis used in the study of oscillations?

Dimensional analysis is used to determine the relationships between the various physical quantities involved in an oscillatory system, such as the frequency, amplitude, and period. By understanding these relationships, scientists can make predictions about the behavior of the system and design experiments to test these predictions.

Why is dimensional analysis important in scientific research?

Dimensional analysis is important because it allows scientists to identify the fundamental dimensions and relationships in a system, which can then be used to make predictions and design experiments. It also helps to ensure that calculations and equations are consistent and accurate, as any discrepancies in units can indicate errors in the analysis.

What are some examples of oscillatory systems that can be analyzed using dimensional analysis?

Oscillatory systems can be found in many areas of science, such as physics, chemistry, and biology. Some common examples include pendulums, springs, and simple harmonic motion. More complex systems, such as electronic circuits and chemical reactions, can also exhibit oscillatory behavior that can be analyzed using dimensional analysis.

Are there any limitations to using dimensional analysis in the study of oscillations?

While dimensional analysis is a powerful tool, there are some limitations to its use in the study of oscillations. It assumes that the system is linear and that the relationships between physical quantities are constant. In reality, many oscillatory systems may have non-linear behavior or may be affected by external factors that can complicate the analysis.

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