The Derivative in Several Variables .... Hubbard and Hubbard, Section 1.7 ....

In summary: Name]In summary, the authors Hubbard and Hubbard discuss the derivative in several variables as linear transformations in Section 1.7 of their book "Vector Calculus, Linear Algebra and Differential Forms" (Fourth Edition). They mention on page 124 that the limit in equation 1.7.10 changes sign as h approaches 0 from the left and from the right, which is due to the different behavior of the function on the left and right sides of the point a. This is demonstrated in a simple example where the limit of a function changes depending on the direction from which the variable approaches 0.
  • #1
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I am reading the book: "Vector Calculus, Linear Algebra and Differential Forms" (Fourth Edition) by John H Hubbard and Barbara Burke Hubbard.

I am currently focused on Section 1.7: Derivatives in Several Variables as Linear Transformations ...

I need some help in order to understand some remarks by Hubbard and Hubbard on page 124 under the heading "The derivative in several variables ... ...

The relevant text reads as follows:
View attachment 8720
Referring to equation 1.7.10 H&H say the following:

" ... ... But this wouldn't work even in dimension \(\displaystyle 1\), because the limit changes sign as \(\displaystyle h\) approaches \(\displaystyle 0\) from the left and from the right. ... ... "Could someone please explain exactly how/why the limit changes sign as \(\displaystyle h\) approaches \(\displaystyle 0\) from the left and from the right. ... ... ?

I am puzzled because \(\displaystyle \mid h \mid\) doesn't change sign and \(\displaystyle f( a + h ) - f ( a)\) doesn't necessarily change sign as \(\displaystyle h\) approaches \(\displaystyle 0\) from the left and from the right. ... ...
Hope someone can help ...

Peter
 

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  • #2
Yes, |h| doesn't change sign but h does and so using |h| is a mistake. As the author says "this won't work even in dimension 1". Take the very simple case of [tex]f(x)= 2x+ 3[/tex] at x= 1. Since this is linear, its derivative at any x is the slope, 2. The usual definition of the derivative gives [tex]\lim_{h\to 0}\frac{f(1+ h)- f(1)}{h}= \lim_{h\to 0}\frac{(2(1+ h)+ 3)- 5}{h}= \lim_{h\to 0}\frac{2h}{h}= 2[/tex]. But if we use "|h|" in the denominator instead of "h" that limit does not exist!

If h> 0 then [tex]\lim_{h\to 0}\frac{2h}{|h|}=\lim_{h\to 0^+}\frac{2h}{h}= 2[/tex] but if h< 0, |h|= -h so [tex]\lim_{h\to 0^-}\frac{2h}{|h|}= \lim_{h\to 0}\frac{2h}{-h}= -2[/tex]. The two onesided limits are not the same so the limit itself does not exist.
 
  • #3


Hi Peter,

The reason why the limit changes sign as h approaches 0 from the left and from the right is because of the definition of a limit. In this case, we are looking at the limit of a function as h approaches 0, which means we are looking at the behavior of the function as h gets closer and closer to 0.

In the case of equation 1.7.10, we are looking at the limit of the function f(a+h) - f(a) as h approaches 0. This limit is not just dependent on the values of f(a+h) and f(a), but also on the direction from which h is approaching 0. When h approaches 0 from the left, the values of f(a+h) and f(a) will be different than when h approaches 0 from the right. This is because the behavior of the function may be different on the left and right sides of the point a.

To understand this concept, it may be helpful to think about a simple example in one dimension. Consider the function f(x) = x^2. When x is positive, the function is increasing, but when x is negative, the function is decreasing. So, when we take the limit of f(x) as x approaches 0, the value of the limit will be different depending on whether x is approaching 0 from the left (negative values) or from the right (positive values).

In the case of the function in equation 1.7.10, the limit will also be different depending on the direction from which h is approaching 0. This is because the function may have different behavior on the left and right sides of the point a, which will affect the values of f(a+h) and f(a).

I hope this helps to clarify the concept for you. Let me know if you have any further questions. Happy studying!

 

Related to The Derivative in Several Variables .... Hubbard and Hubbard, Section 1.7 ....

1. What is the definition of a derivative in several variables?

The derivative in several variables is a measure of how a function changes in response to changes in multiple input variables. It is a generalization of the single variable derivative, which measures the rate of change of a function with respect to a single input variable.

2. How is the derivative in several variables calculated?

The derivative in several variables is calculated using partial derivatives, which measure the rate of change of a function with respect to each individual input variable while holding all other variables constant. These partial derivatives are then combined to form the gradient, which represents the direction of steepest ascent for the function.

3. What is the significance of the derivative in several variables?

The derivative in several variables is important in many fields of science and engineering, including physics, economics, and computer science. It is used to optimize functions, solve systems of equations, and study the behavior of complex systems.

4. Can the derivative in several variables be visualized?

Yes, the derivative in several variables can be visualized using vector fields and contour plots. These visualizations help to illustrate the direction and magnitude of the derivative at different points in the function's domain.

5. Are there any applications of the derivative in several variables?

Yes, there are many applications of the derivative in several variables. For example, it is used in physics to calculate the trajectory of a projectile, in economics to maximize profits, and in computer graphics to create 3D models and animations. Additionally, machine learning algorithms often use derivatives to optimize models and make predictions.

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