CALCULUS - SINGLE VARIABLE
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x as infinite if it satisfies the conditions |x| > 1, |x| > 1 + 1, |x| > 1 + 1 + 1, ..., and infinitesimal if x ≠ 0 and a similar set of conditions holds for x and the reciprocals of the positive integers
Continuity and Limit
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the function has a limit L at an input p, if f(x) gets closer and closer to L as x moves closer and closer to p
continuity of by saying that an infinitesimal change in x necessarily produces an infinitesimal change in y
A function f is said to be continuous at c if it is both defined at c and its value at c equals the limit of f as x approaches c:
We have here assumed that c is a limit point of the domain of f.
Differential Calculus
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For every positive real number , there exists a positive real number such that, for every such that and then is defined, and
Leibniz Derivative Notation
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The first derivative of is denoted by , read as "the derivative of with respect to ".
for the -th derivative of
Lagrange Derivative Notation
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The first derivative is written as
for the th derivative of .
Newton Derivative Notation
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If is a function of , then the first and second derivatives can be written as and
Differential Operator Derivative Notation
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and higher derivatives are written with a superscript, so the -th derivative is
Let f(x) = x2 be the squaring function.
Leibniz Derivative Example
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Differentiation is linear
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with respect to is:
- The constant factor rule
- The sum rule
- The difference rule
, then
For the functions and , the derivative of the function with respect to is
In Leibniz's notation this is written
The derivative of the function is
In Leibniz's notation, this is written as:
often abridged to
If z = f(y) and y = g(x)
and
If y = f(u) and u = g(x):
or for short,
The derivative function is therefore:
Chain Rule Higher Derivatives
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Looks like the product rule.
f(u) and u = g(x):
The quotient rule is a consequence of the chain rule and the product rule. To see this, write the function f(x)/g(x) as the product f(x) · 1/g(x). First apply the product rule:
y = g(x) has an inverse function. Call its inverse function f so that we have x = f(y).
The derivative of for any (nonvanishing) function f is:
- wherever f is non-zero.
In Leibniz's notation, this is written
Derivatives of exponential and logarithmic functions
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-
- wherever f is positive.
Derivatives of Trigonometric Functions
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Derivatives of integrals
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where the functions and are both continuous in both and in some region of the plane, including , and the functions and are both continuous and both have continuous derivatives for . Then for :
Integrals Rational Functions
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Integrals Exponential Functions
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Integrals Trigonometric functions
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Power Rule Integration
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