Differentiation Review for Exam
Differentiation Notes
The Derivative and the Tangent Line Problem
The derivative of a function measures how the function value changes as its input changes.
Fundamental Concepts
Derivative Functions
Derivative functions describe the rate of change of a function.
Basic Differentiation Rules
The primary tool for differentiation includes product and quotient rules, derivatives of trigonometric and exponential functions, and the chain rule.
Product and Quotient Rules
For functions f(x) and g(x):
Product Rule:
d[f(x) imes g(x)] = f'(x) imes g(x) + f(x) imes g'(x)Quotient Rule:
rac{d}{dx}igg[ rac{f(x)}{g(x)}igg] = rac{f'(x)g(x) - f(x)g'(x)}{[g(x)]^2}
Derivatives of Trigonometric and Exponential Functions
Key derivatives to memorize:
rac{d}{dx}[ ext{sin}(x)] = ext{cos}(x)
rac{d}{dx}[ ext{cos}(x)] = - ext{sin}(x)
rac{d}{dx}[ ext{tan}(x)] = ext{sec}^2(x)
Exponential function:
rac{d}{dx}[e^x] = e^x
The Chain Rule
If h(x) = f(g(x)), then
h'(x) = f'(g(x))g'(x)
Derivatives of Inverse Functions
If f is a one-to-one function and has an inverse, then
rac{d}{dx}[f^{-1}(x)] = rac{1}{f'(f^{-1}(x))}
Higher Derivatives
Notation and meaning:
First derivative: f'(x)
Second derivative: f''(x)
Third derivative: f'''(x)
n-th derivative: f^{(n)}(x)
Implicit Differentiation
Used when y is not isolated. Follow these steps:
Differentiate both sides implicitly with respect to x.
Collect terms and isolate y' to solve for it.
Tangent Lines
Definition and Calculation
The tangent line to the curve y = f(x) at the point (a, f(a)) is defined as:
y - f(a) = f'(a)(x - a)The slope (m) is the derivative at that point:
m = f'(a)
Example
Given the function f(x) = x² + 2, task to find the slope at (1,3):
m = lim_{x o 1} rac{f(x) - f(1)}{x - 1}
Slope calculated as 2.
Find equation of tangent line:
y - 3 = 2(x - 1)
Simplified equation: y = 2x + 1
Applications of Derivatives
Physical Interpretations
The derivative f'(a) can represent rates of change in various fields:
Physics: s(t) represents position, s'(t) is velocity.
Economics: C'(t) represents cost changes over time.
Differentiability
Definition of Differentiability
A function is differentiable at a point if the derivative exists at that point.
Additionally, a function is differentiable on an interval if it is differentiable at every point in that interval.
Conditions for Non-Differentiability
The function may not be differentiable at:
Points with discontinuities.
Points with sharp corners (corners, cusps).
Points with vertical tangents.
Summary of Differentiation Rules
Constant: d[c] = 0
Power Rule: d[x^n] = nx^{n-1}
Constant Multiple: d[c imes f(x)] = c imes f'(x)
Sum: d[f(x) + g(x)] = f'(x) + g'(x)
Difference: d[f(x) - g(x)] = f'(x) - g'(x)
Examples and Exercises
Differentiate f(x) = 4x^2 - x + 2:
f'(x) = 8x - 1
Find f'(x) for h(x) = (3x + 1)(x^2):
Apply product rule:
h'(x) = (3)(x^2) + (3x + 1)(2x)
Example with trigonometric functions, such as f(x) = sin(x) + e^x to derive: f'(x) = cos(x) + e^x.
Implicit differentiation example with x^2 + y^2 = 25. Differentiate both sides to find y':
2x + 2y rac{dy}{dx} = 0
ightarrow y' = - rac{x}{y}.
Logarithmic Differentiation Example: For y = x^x, take the natural log of both sides and differentiate.
Conclusion
Mastering differentiation involves understanding functions’ behavior in different contexts, using various rules and interpretations to analyze and solve problems in mathematics and applied fields.