Analysis vs arithmetic approach to solving motion

In summary, the conversation discusses the use of mathematical approach in describing motion and how it can be applied to both falling bodies and objects attached to a spring. It also delves into the process of reaching conclusions through trial and error, and the role of experiments in validating theories. The conversation also touches upon the role of deductive reasoning and the importance of imagination in creating scientific theories.
  • #1
rudransh verma
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  • #3
Chestermiller said:
9.8 m/s^2
Oh yes! acceleration is 32.
 
  • #4
rudransh verma said:
Using Mathematical approach we can describe the motion of a falling body whose gravity is 32 m/s^2. Analysis shows that this is simply s−s0=ut+1/2at2. Similarly we can describe the motion of a mass attached to spring by mathematical approach. Analysis shows this is simply x=cos⁡t.

This is called modelling, a process by which we create models.

rudransh verma said:
How do we reach to this conclusion?

By comparing our model to observations of how Nature behaves. If the model doesn't match what we observe, we try a different model. It's this process of trial and error that leads us to these "conclusions".
 
  • #5
rudransh verma said:
Oh yes! acceleration is 32.
You've got the units mixed up. This is in ft/s2.
 
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  • #6
Mister T said:
By comparing our model to observations of how Nature behaves. If the model doesn't match what we observe, we try a different model. It's this process of trial and error that leads us to these "conclusions".
So you are saying we can't derive mathematically the model or analysis from the numerical process. Is it a guess that ##x=\cos t## perfectly describes the motion of spring?
 
  • #7
rudransh verma said:
So you are saying we can't derive mathematically the model or analysis from the numerical process. Is it a guess that ##x=\cos t## perfectly describes the motion of spring?
We guess and confirm Newton's second law that ##F=ma##
We guess and confirm Hooke's law that ##F=kx##
We solve the resulting differential equation and obtain a family of solutions that includes ##x=\cos t## and phase-shifted and scaled versions thereof.
 
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  • #8
rudransh verma said:
So you are saying we can't derive mathematically the model or analysis from the numerical process.
You can derive the mathematical model and you can perform a numerical analysis using the mathematical model. What you can't do is use that model to reliably predict how Nature will behave. You have to perform experiments to see if your model correctly predicts how Nature behaves.

It was once thought that the power of the human intellect would be all that's necessary, but we have learned in recent centuries that that alone won't tell us how Nature behaves. We need experiments for that.

rudransh verma said:
Is it a guess that x=cos⁡t perfectly describes the motion of spring?

Well, it doesn't perfectly describe the motion of a bob hanging from a spring. It's an idealization call simple harmonic motion, and although we can't produce perfect simple harmonic motion, we can go through a process where we get closer and closer to the idealization. In fact, there is nothing we know of that is a perfectly valid theory of physics. All theories have limits of validity.

As to whether or not it was a guess, I don't know as I'm not aware of the history. But the process of constructing physical theories is an inductive one. We can't deduce the correct theories of physics using deductive reasoning alone.

In mathematics we use proofs that involve pure deductive reasoning. The problem with that process is that there's nothing introduced that wasn't already present in the premises.

Take Einstein's special theory of relativity. He used two postulates to deduce effects like relative simultaneity, length contraction, and time dilation. These deductions follow logically from the postulates using pure deductive reasoning. However, those deductions had to be tested experimentally before they were accepted.
 
  • #9
rudransh verma said:
Using Mathematical approach we can describe the motion of a falling body whose gravity is 32 m/s^2. Analysis shows that this is simply ##s-s_0=ut+1/2at^2##. Similarly we can describe the motion of a mass attached to spring by mathematical approach. Analysis shows this is simply ##x=\cos t##. How do we reach to this conclusion?
The simple equations are the solution of the differential equations for the model.
 
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  • #10
Mister T said:
You can derive the mathematical model and you can perform a numerical analysis using the mathematical model. What you can't do is use that model to reliably predict how Nature will behave. You have to perform experiments to see if your model correctly predicts how Nature behaves.Well, it doesn't perfectly describe the motion of a bob hanging from a spring. It's an idealization call simple harmonic motion, and although we can't produce perfect simple harmonic motion, we can go through a process where we get closer and closer to the idealization. In fact, there is nothing we know of that is a perfectly valid theory of physics. All theories have limits of validity.

As to whether or not it was a guess, I don't know as I'm not aware of the history. But the process of constructing physical theories is an inductive one. We can't deduce the correct theories of physics using deductive reasoning alone.

In mathematics we use proofs that involve pure deductive reasoning. The problem with that process is that there's nothing introduced that wasn't already present in the premises.

Take Einstein's special theory of relativity. He used two postulates to deduce effects like relative simultaneity, length contraction, and time dilation. These deductions follow logically from the postulates using pure deductive reasoning. However, those deductions had to be tested experimentally before they were accepted.
https://www.feynmanlectures.caltech.edu/I_01.html "The principle of science, the definition, almost, is the following: The test of all knowledge is experiment. Experiment is the sole judge of scientific “truth.” But what is the source of knowledge? Where do the laws that are to be tested come from? Experiment, itself, helps to produce these laws, in the sense that it gives us hints. But also needed is imagination to create from these hints the great generalizations—to guess at the wonderful, simple, but very strange patterns beneath them all, and then to experiment to check again whether we have made the right guess. This imagining process is so difficult that there is a division of labor in physics: there are theoretical physicists who imagine, deduce, and guess at new laws, but do not experiment; and then there are experimental physicists who experiment, imagine, deduce, and guess."

This is the paragraph from the link. I think this is what you are saying.
All the laws like coulombs law, law of gravity, gauss law, kinematic eqns, friction law, hookes law are deduced together from like mathematically/analytically and experiments. They are approximate. These models or laws describe our world roughly exactly.
Things in physics move forward from defining ,experimenting, deducing, experimenting.
 

1. What is the difference between analysis and arithmetic approach to solving motion?

The analysis approach involves breaking down a complex problem into smaller, more manageable parts and using mathematical concepts and equations to solve for the unknown variables. On the other hand, the arithmetic approach involves using basic arithmetic operations such as addition, subtraction, multiplication, and division to solve for the unknown variables.

2. Which approach is more accurate in solving motion problems?

The analysis approach is generally considered more accurate as it takes into account more factors and variables that may affect the motion. It also allows for more precise calculations and can handle more complex problems compared to the arithmetic approach.

3. Is one approach better than the other?

It depends on the specific problem and the level of accuracy needed. Some problems may be better suited for the analysis approach, while others may be more efficiently solved using the arithmetic approach. It is important to understand both approaches and choose the one that is most appropriate for the given problem.

4. Can both approaches be used interchangeably?

No, the analysis and arithmetic approaches are fundamentally different and cannot be used interchangeably. Each approach has its own strengths and limitations, and it is important to choose the appropriate approach for the specific problem at hand.

5. How do I know which approach to use for a given problem?

Understanding the problem and its variables is crucial in determining which approach to use. If the problem involves multiple variables and requires a high level of accuracy, the analysis approach may be more suitable. If the problem is simpler and only involves basic arithmetic operations, the arithmetic approach may be more efficient.

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