Understanding Differentiability of Functions with Several Variables

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SUMMARY

The discussion focuses on the differentiability of functions with several variables, specifically addressing the chain rule and the concept of affine functions. It clarifies that differentiability at a point \( x_0 \) implies that the function can be approximated by a linear function, or tangent, at that point. Additionally, the existence of partial derivatives does not guarantee that a function is continuously differentiable; all higher-order partial derivatives must also exist for that classification. The conversation highlights the importance of understanding these concepts for proper application in multivariable calculus.

PREREQUISITES
  • Understanding of single-variable calculus, particularly the chain rule.
  • Familiarity with the concept of affine functions in mathematics.
  • Knowledge of partial derivatives and their significance in multivariable functions.
  • Basic understanding of continuity and differentiability in calculus.
NEXT STEPS
  • Study the properties of affine functions and their role in approximating differentiable functions.
  • Learn about the implications of the Mean Value Theorem in the context of multivariable functions.
  • Explore the criteria for a function to be continuously differentiable, including the existence of higher-order partial derivatives.
  • Investigate examples of polynomial functions and their differentiability properties to solidify understanding.
USEFUL FOR

Students and educators in calculus, mathematicians focusing on multivariable analysis, and anyone seeking to deepen their understanding of differentiability in functions of several variables.

asif zaidi
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Hello:

These are not h/w problems but something from the class notes which I am not able to fully understand. I have two questions stated below


Question1
We are doing chain rule and function of several variables. To explain the prof has first explained about single variables and then gone to composite functions and vector functions. But since I cannot understand single variables, no point in going to other topics

Anyway the class note is as follows:

The differentiability of f at xo is equivalent to
( f(xo+h) - (f^{'}(x0)h) ) / h -> 0 i.e. the function f is approximated to first order by function x-> f(xo) + f^{'}(x0)(x-xo) (where x = xo + h)


The function h-> f(xo) + f^{'}(x0)h is a function of the form: a constant function (f(xo) + a linear map (f^{'}(x0)h). Such a function is called an affine function. Thus differentiability can be formulated as the statement: there is a linear map \phi: R->R such that the affine function f(xo) + \phi(x-xo) is a first-order approximation to f at xo.


My problem is as follows
- it is the last line which states that differentiability can be formulated by the linear map. Can someone explain what the notes are trying to say. I have been on this for about 3 days and not able to grasp it

Question 2:
Not entirely related to this, but assuming you have a function f(x1,x2,x3) = x1x2x3 + x1*x3. How do I prove that it is continuously differentiable. If I prove that partial derivatives exist, will it prove that they are continuously differentiable.

Thanks

Asif
 
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Q1. It means if a function f(x) is differentiable at a point x_0, the linear function that best approximates f(x) at x_0 is g(x) = f(x_0) + f' (x_0) (x - x_0) ie its tangent.

To say the differentiability of f at x_0 is equivalent to it being approximated by that tangent is somewhat of a circular argument however, as the function must be differentiable at x_0 to obtain f'(x_0) .

Q2) What do you mean by "continuously differentiable"? If you mean repeatedly or infinitely differentiable, then showing the first partial derivatives exist only shows that they are once differentiable. You must show all further partials also exist.

EDIT: Ahh from Hall's reply, it appears the question was referring to whether or not the partials are continuous functions in themselves. My bad for misinterpreting.
 
Last edited:
It just says that the function f can be approximated, close to x=a, by its tangent line at x= a. At x= 1, for example, if f(x)= x2, the f '(x)= 2x so f(1)= 1 and f '(1)= 2. The tangent line to the graph of y= x2, at x= 1, is y= 2(x-1)+ 1= 2x- 1. For values of x close to 1, y= 2x- 1 will give values close to x2: better than any other linear function.

Question 2: You are right- the fact that the partial derivatives exist does not mean they are continuously differentiable or that the original function is "differentiable". However, in this example, Your function is a polynomial. If you were to think of it as a function of one of the variables, say f(x)= abx+ bx, its derivative would be ab+b, which, being a constant, is continuous. That tells you that the original function has continuous derivatives.
 

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