Can PCA Be Used to Derive Equations of Motion?

AI Thread Summary
PCA can be applied to estimate constants in equations like F = kx, but it is not the typical method; linear regression is usually preferred for such tasks. PCA involves analyzing the eigenvectors of the covariance matrix to derive relationships between variables. The equation F = kx is not classified as an equation of motion, which may lead to confusion in its application. Clarifying the specific problem or goal can help determine the most appropriate analytical approach. Understanding the context and methodology is crucial for accurate modeling in physics.
touqra
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Was wondering if PCA can be used to find equation of motions, like F = kx.
 
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And PCA means what exactly?
 
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Dr.D said:
And PCA means what exactly?
Principal Component Analysis
 
touqra said:
Was wondering if PCA can be used to find equation of motions, like F = kx.
You mean to estimate the constant k for a spring? You usually use linear regression for that. But you can apply PCA and then compute k as the ratio of the components of the eigenvectors of the covariance matrix.
 
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F=kx is not an equation of motion. What is your actual problem or goal?
 
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