Difference between 2 types of differentials?

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SUMMARY

The discussion clarifies the differences between two methods for calculating differentials in multivariable calculus. The first method involves taking the partial derivatives of each component function and organizing them into a matrix, which is applicable when dealing with functions from R^m to R^n. The second method utilizes a curve on a surface, allowing for a more general approach to differentials, particularly for functions from R^1 to R^n. The first method is coordinate-dependent, while the second method provides a non-coordinate definition.

PREREQUISITES
  • Understanding of multivariable calculus concepts
  • Familiarity with partial derivatives
  • Knowledge of matrix representation of functions
  • Basic comprehension of differential geometry
NEXT STEPS
  • Study the application of Jacobian matrices in differential calculus
  • Explore the concept of curves on surfaces in differential geometry
  • Learn about the implications of coordinate systems in multivariable functions
  • Investigate the relationship between differentials and tangent vectors
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Students of mathematics, particularly those studying calculus and differential geometry, as well as educators seeking to clarify the concepts of differentials in multivariable contexts.

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I have a simple question about differentials. I have been taught two ways to find the differential and my questions is in what situations do I use each one?

simply speaking these are the 2 ways

1.) just take the partials of each component function and throw them in a matrix

2.) Let f be the function we want the differential for, where f:S→ℝm. You choose a curve [itex]\alpha[/itex](-ε,ε)→S such that [itex]\alpha[/itex](0)=p and [itex]\alpha[/itex]'(0)= v where p is in S and S is a surface, and v is in TpS.
Then you compose f with [itex]\alpha[/itex] and take the derivative with respect to t.

Thank you for your time.
 
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In 1, it looks like you are referring to the differential of a function from [itex]R^m[/itex] to [itex]R^n[/itex] while in 2, you are specifically referring to a function from [itex]R^1[/itex] to [itex]R^n[/itex].

Also, 1 is assuming a specific coordinate system while 2 is a general, non-coordinate definition.
 

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