MATH 409 Lecture 15
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Review
Derivative is defined as or equivalently .
Notations:
- Lagrange:
- Newton:
- Leibniz:
- Euler:
- (higher order derivatives)
Derivative at a point denoted .
- Sum and Difference Rules
- Product Rule
- Quotient Rule
Derivatives of Elementary Functions
Higher-Order Derivatives
Defined inductively:
For for any , the -th derivative of at a point , denoted , is defined by .
Derivative Spaces
Let be an interval of the real line . We denote or as the set of all continuous functions on .
For any , we denote as the set of all functions that are times continuously differentiable on . (that is, the -th derivative is continuous)
represents the set of all infinitely continuously differentiable on .
Examples
, and for .
Product and Chain rules show that is differentiable on .
For .
The function is continuous at , but the derivative is not continuous at , so is not differentiable at . Indeed has no limit as .
, and for .
As above, the Product and Chain rules show that is differentiable on .
For ,
The function is differentiable at 0. Indeed as .
Note that is not continuously differentiable on since is not continuous at . Namely, does not exist.
Power Rule
Theorem. for all and .
Proof by induction. In the case , we have for all .
Assume that for some and all . Using the product rule, we obtain .
Note: The theorem can also be proved using the formula .
In the same breath, for all and .
Using reciprocal rule, we obtain
Derivative of Inverse Function
Theorem. Suppose is an invertible continuous function. If is differentiable at a point and , then the inverse function is differentiable at the point and
Proof. Since is differentiable at , we know that is defined on an open interval containing . Since is continuous and invertible, it follows from the Intermediate Value Theorem that is strictly monotone on , the image is an open interval containing , and the inverse function is continuous and strictly monotone on .
We have . Since , it follows that . Since is continuous and monotone on the interval , we obtain that and when and .
Therefore .
Remark. In the case , the inverse function is not differentiable at .
Indeed, if is differentiable at , the chain rule implies that . Obviously the LHS is the identity function, so , so that .
Example
, .
The function is strictly decreasing on and maps this interval onto . By definition, the function is the inverse of the restriction of to . Notice that and for . It follows that the function is continuous on and not differentiable at and . Moreover, for any ,
Let (hence ). We have by the pythagorean identity. Besides, since . Consequently, . Thus .
Homework hint; use similar method to prove for and , just use same identity (divide by for )
Exponential and Logarithmic Functions
Theorem. The sequence for is increasing and bounded, hence convergent.
The limit is the number (number of letters in each word in "I'm forming a mnemonic to remember a constant in analysis")
Corollary. .
Not proved here... (Ain't nobody got time for that!)
for any and , the exponential function is strictly monotone and continuous on . It maps onto . Therefore the inverse function is strictly monotone and continuous on . The natural logarithm is also denoted just .
Since as , it follows that as . In other words,
Examples
for .
for all . Therefore for any ,
for , where .
Equivalently, . So .
for .
Since is the inverse function , we obtain for all .
Power Rule: General Case
for all and .
Proof. Let us fix a number and consider for . For any , we obtain , where . Hence , where for and for . By the chain rule, .