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Glossary

C

Concave Down

Criticality: 3

A portion of a function's graph where the curve opens downwards, resembling an inverted cup. This occurs when the second derivative is negative.

Example:

The function y = -x² is concave down everywhere because its second derivative, y'' = -2, is always negative.

Concave Up

Criticality: 3

A portion of a function's graph where the curve opens upwards, resembling a cup. This occurs when the second derivative is positive.

Example:

The parabola y = x² is concave up everywhere because its second derivative, y'' = 2, is always positive.

Constant Multiple Rule

Criticality: 2

This rule allows you to pull a constant factor out of the derivative operation; the derivative of a constant times a function is the constant times the derivative of the function.

Example:

To find the derivative of g(x) = 5sin(x), you use the Constant Multiple Rule to get g'(x) = 5cos(x).

Constant Rule

Criticality: 2

This rule states that the derivative of any constant value is always zero.

Example:

If f(x) = 7, then by the Constant Rule, f'(x) = 0, because a constant function has no change.

D

Derivative

Criticality: 3

The derivative of a function represents its instantaneous rate of change at a specific point. Geometrically, it is the slope of the tangent line to the function's graph at that point.

Example:

If a car's position is given by s(t) = t², its derivative s'(t) = 2t gives its instantaneous velocity at any time t.

Derivative of cos(x)

Criticality: 3

The derivative of the cosine function, cos(x), is -sin(x).

Example:

If the temperature oscillates as T(t) = cos(t), the rate of change of temperature is the derivative of cos(t), which is T'(t) = -sin(t).

Derivative of eˣ

Criticality: 3

The derivative of the natural exponential function, eˣ, is itself, eˣ.

Example:

If a population grows exponentially according to P(t) = 100eᵗ, its growth rate is the derivative of eᵗ, which is P'(t) = 100eᵗ.

Derivative of ln(x)

Criticality: 3

The derivative of the natural logarithm function, ln(x), is 1/x.

Example:

To find the rate of change of a logarithmic scale, such as sound intensity, you would use the derivative of ln(x), which is 1/x.

Derivative of sin(x)

Criticality: 3

The derivative of the sine function, sin(x), is cos(x).

Example:

If a particle's position is given by s(t) = sin(t), its velocity is the derivative of sin(t), which is v(t) = cos(t).

Derivative of tan(x)

Criticality: 2

The derivative of the tangent function, tan(x), is sec²(x).

Example:

When analyzing the slope of a tangent line for y = tan(x), you'd use the derivative of tan(x) to find y' = sec²(x).

H

Horizontal Tangent

Criticality: 3

A tangent line that is perfectly flat, indicating that the slope of the function at that point is zero. This often occurs at local maxima or minima.

Example:

To find where the function f(x) = x² - 4x has a horizontal tangent, you set its derivative f'(x) = 2x - 4 equal to zero and solve for x.

I

Instantaneous Rate of Change

Criticality: 3

This describes how quickly a quantity is changing at a precise moment in time, as opposed to its average rate of change over an interval.

Example:

Finding the instantaneous rate of change of a balloon's volume with respect to its radius when the radius is exactly 5 cm requires a derivative.

P

Power Rule

Criticality: 3

A fundamental rule for differentiating functions of the form xⁿ, where the derivative is nxⁿ⁻¹.

Example:

Using the Power Rule, the derivative of f(x) = x⁵ is f'(x) = 5x⁴.

Product Rule

Criticality: 3

Used to find the derivative of a product of two functions: (first function * derivative of second) + (second function * derivative of first).

Example:

To differentiate f(x) = x * cos(x), apply the Product Rule: f'(x) = (1 * cos(x)) + (x * -sin(x)) = cos(x) - xsin(x).

Q

Quotient Rule

Criticality: 3

Used to find the derivative of a function that is a ratio of two other functions: (low d high - high d low) / (low squared).

Example:

To find the derivative of y = sin(x)/x, use the Quotient Rule: y' = (x * cos(x) - sin(x) * 1) / x².

S

Second Derivative

Criticality: 3

The derivative of the first derivative of a function, often denoted as f''(x) or d²y/dx². It describes the rate of change of the slope, indicating concavity.

Example:

If a car's position is s(t), its velocity is s'(t), and its acceleration is the second derivative, s''(t).

Sharp Corner/Cusp

Criticality: 2

A point on a graph where the function changes direction abruptly, preventing a unique tangent line from being defined, thus the derivative does not exist.

Example:

The absolute value function f(x) = |x| has a sharp corner (or cusp) at x=0, so its derivative does not exist there.

Slope of a Tangent Line

Criticality: 3

The slope of the tangent line at a point on a curve is numerically equal to the derivative of the function at that specific point.

Example:

To find the slope of a tangent line to the curve y = x³ at x=2, you'd calculate the derivative y' = 3x² and then evaluate it at x=2, getting 12.

Sum Rule

Criticality: 2

The derivative of a sum of functions is the sum of their individual derivatives.

Example:

If h(x) = x² + eˣ, then by the Sum Rule, h'(x) = 2x + eˣ.

T

Tangent Line

Criticality: 3

A straight line that touches a curve at a single point, sharing the same slope as the curve at that point.

Example:

The line y = 2x - 1 is the tangent line to the parabola y = x² at the point (1,1).

V

Vertical Tangent

Criticality: 2

A tangent line that is perfectly vertical, indicating an undefined or infinite slope at that point on the curve, meaning the derivative does not exist.

Example:

The function f(x) = x^(1/3) has a vertical tangent at x=0, where its derivative is undefined.