Calculus Derivatives Overview

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Questions and Answers

What does the derivative measure in relation to a function?

  • The maximum value of the function.
  • The rate of change of the function as its input changes. (correct)
  • The area under the curve of the function.
  • The total value of the function.

What is the second derivative of a function commonly used to indicate?

  • The concavity of the function. (correct)
  • The average rate of change.
  • The slope of the tangent line.
  • The maximum value of the function.

Which differentiation rule applies to the expression

$h(x) = f(x) g(x)$?

  • Sum Rule
  • Difference Rule
  • Product Rule (correct)
  • Chain Rule

What is a characteristic of a function with a positive second derivative?

<p>The function is concave up. (A)</p> Signup and view all the answers

What does the first derivative test primarily help determine?

<p>The presence of local extrema at critical points. (C)</p> Signup and view all the answers

When is the derivative of a constant function equal to zero?

<p>At all points along the function. (D)</p> Signup and view all the answers

What does the derivative of the position function with respect to time represent in physics?

<p>Velocity (B)</p> Signup and view all the answers

In the context of differentiation, which rule would you use to differentiate

$f(g(x))$?

<p>Chain Rule (B)</p> Signup and view all the answers

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Study Notes

Derivatives

Definition and Properties

  • Definition: A derivative measures how a function changes as its input changes. It is defined as the limit of the average rate of change of the function as the interval approaches zero.
  • Notation: Commonly denoted as ( f'(x) ) or ( \frac{dy}{dx} ).
  • Properties:
    • If ( f(x) ) is continuous at ( x ), then ( f'(x) ) exists.
    • The derivative of a constant is zero: ( f'(c) = 0 ).
    • The derivative of ( x^n ) is ( nx^{n-1} ).
    • ( f'(x) ) indicates the slope of the tangent line to the curve at point ( (x, f(x)) ).

Higher-order Derivatives

  • Definition: Higher-order derivatives are derivatives of derivatives.
  • Notation:
    • Second derivative: ( f''(x) = \frac{d^2y}{dx^2} ).
    • Third derivative: ( f'''(x) = \frac{d^3y}{dx^3} ), and so forth.
  • Interpretation:
    • The second derivative indicates concavity of the function.
    • Positive ( f''(x) ): Concave up (local minima).
    • Negative ( f''(x) ): Concave down (local maxima).

Rules of Differentiation

  1. Sum Rule: ( (f + g)' = f' + g' )
  2. Difference Rule: ( (f - g)' = f' - g' )
  3. Product Rule: ( (fg)' = f'g + fg' )
  4. Quotient Rule: ( \left(\frac{f}{g}\right)' = \frac{f'g - fg'}{g^2} )
  5. Chain Rule: If ( y = f(g(x)) ), then ( \frac{dy}{dx} = f'(g(x)) \cdot g'(x) )

Applications in Physics

  • Velocity: The derivative of the position function with respect to time gives velocity.
  • Acceleration: The derivative of the velocity function gives acceleration.
  • Graphical Interpretation:
    • Increasing function: Positive derivative indicates motion in a positive direction.
    • Decreasing function: Negative derivative indicates motion in a negative direction.

Derivative Tests for Extrema

  • First Derivative Test:

    • Identify critical points where ( f'(x) = 0 ) or ( f'(x) ) is undefined.
    • Determine the sign of ( f'(x) ) before and after the critical point.
      • If ( f' ) changes from positive to negative: local maximum.
      • If ( f' ) changes from negative to positive: local minimum.
  • Second Derivative Test:

    • Compute ( f''(x) ) at the critical point ( x = c ).
      • If ( f''(c) > 0 ): local minimum.
      • If ( f''(c) < 0 ): local maximum.
      • If ( f''(c) = 0 ): test is inconclusive.

Definition and Properties

  • A derivative quantifies the rate of change of a function as its input varies.
  • Defined mathematically as the limit of the average rate of change as the interval approaches zero.
  • Notated as ( f'(x) ) or ( \frac{dy}{dx} ).
  • If a function ( f(x) ) is continuous at a point ( x ), then ( f'(x) ) exists.
  • The derivative of a constant function is zero.
  • For a power function, the derivative follows the formula: ( \frac{d}{dx}(x^n) = nx^{n-1} ).
  • The first derivative ( f'(x) ) represents the slope of the tangent line to the function at any given point.

Higher-order Derivatives

  • Higher-order derivatives refer to the derivatives of derivatives.
  • Second derivative notated as ( f''(x) ) and represents ( \frac{d^2y}{dx^2} ).
  • Third derivative notated as ( f'''(x) ) representing ( \frac{d^3y}{dx^3} ).
  • The second derivative indicates the concavity of the function:
    • If ( f''(x) > 0 ), the function is concave up, suggesting a local minimum.
    • If ( f''(x) < 0 ), the function is concave down, suggesting a local maximum.

Rules of Differentiation

  • Sum Rule: Derivative of a sum is the sum of the derivatives: ( (f + g)' = f' + g' ).
  • Difference Rule: Derivative of a difference is the difference of the derivatives: ( (f - g)' = f' - g' ).
  • Product Rule: For the product of two functions: ( (fg)' = f'g + fg' ).
  • Quotient Rule: For the quotient of two functions: ( \left(\frac{f}{g}\right)' = \frac{f'g - fg'}{g^2} ).
  • Chain Rule: For composite functions: if ( y = f(g(x)) ), then ( \frac{dy}{dx} = f'(g(x)) \cdot g'(x) ).

Applications in Physics

  • Velocity is determined by taking the derivative of the position function concerning time.
  • Acceleration is the derivative of the velocity function.
  • A positive derivative indicates an increasing function and motion in a positive direction.
  • A negative derivative indicates a decreasing function and motion in a negative direction.

Derivative Tests for Extrema

  • First Derivative Test:

    • Identify critical points where ( f'(x) = 0 ) or ( f'(x) ) is undefined.
    • Analyze the sign of ( f'(x) ) around critical points.
    • A change from positive to negative indicates a local maximum.
    • A change from negative to positive indicates a local minimum.
  • Second Derivative Test:

    • Evaluate ( f''(x) ) at the critical point ( x = c ).
    • If ( f''(c) > 0 ), a local minimum is present.
    • If ( f''(c) < 0 ), a local maximum is present.
    • If ( f''(c) = 0), the result is inconclusive.

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