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MATH 31A Review
Ege Tanboga
Tutorfly
Continuity
 Keep in mind that continuity at a point x = c requires that:
 1. f (c) is defined. 2. lim x->c f (x) exists. 3. They are equal.
 Means limit from both sides should be equal
Squeeze Theorem
 If a function has certain boundaries it cannot go above / below, then you can
squeeze it in between those boundaries to find a limit
 Ex. xsin(1/x)
Intermediate Value Theorem
 A function cannot skip values if it is continuous
 If the boundaries change sign (Ex. f(a) < 0 f(b) >0), then there is a point
where f(c)= 0, between a and b). This is a consequence of IVT
Differentiability
 Differentiability implies continuity: If f is differentiable at x = a, then f is
continuous at x = a. However, there exist continuous functions that are not
differentiable.
 Ex. Absolute value function
 Chain Rule: dy/dx = (dy/du) (du/dx)
 This logic is used in both implicit differentiation and related rates so it is
important to understand this notation of Chain Rule
Related Rates
 Goal: calculate an unknown rate of change in terms of other rates of change
that are known.
 3 Steps
 1. Identify what you have and what you need to find
 2. Find an equation to relate variables (relate known to unknown) – don’t
substitute until you computed all derivatives
 3. Use given data to find unknown derivative
Extreme Values / Applications of
Derivative
 Critical points when the derivative is 0 or undefined
 Plugging in values between those critical points, we can learn about the
behavior of our function (sometimes without needing the second derivative
test)
 We can use the second derivative test to improve out understanding even
more
 Concavity -> can be found using either second derivative test or through
plugging values between critical points for the first derivative
 Inflection Point: If f ′′(c) = 0 or f ′′(c) does not exist and f′′(x) changes sign at x
= c, then f has a point of inflection at x = c.
 First Derivative
 f′ >0 ⇒ f is increasing f′ <0 ⇒ f is decreasing
 Second Derivative
 f′′ >0 ⇒ f is concave up (local minimum) f′′ <0 ⇒ f is concave down (local
maximum)
 If second derivative test is inconclusive, go back to first derivative test
Optimization
 Choose which variables are relevant
 Find the function and the interval you are interested in (if the function has
more one variable, use the constraints to reduce it to only one variable)
 Optimize the function using knowledge about extreme values
 If bounds are not included, f may not take a min or max!
 You need to check limit near bounds and the values at critical points
Integrals – Fundamental Theorem of
Calculus
 FTC 1 – we can use antiderivatives to calculate definite integrals ->
integration as we know it with bounds
 FTC 2 – more important
 Conditions: f is continuous on an open interval I and a is a point in I

𝑑
𝑑𝑥 𝑎
𝑥
𝑓 𝑡 𝑑𝑡 = 𝑓(𝑥)
 If the bounds are both related to x, factor out the integral and evaluate separately
 If bounds are not just x (Ex. x^3), take the derivative of the bounds as well (3x^2) -
> comes from chain rule
Integrals - substitution
 Try to see the derivative of a function inside an integral
 If you change the variable, you need to change the bounds to your new
variable as well
 Might need to do substitution twice in some cases
Areas and Volumes
 Area: Integral of top-bottom
 Volumes of Revolution: If rotated around x-axis, then the general formula
below can be applied to any situation

𝑎
𝑏
𝑓 𝑥 2 − 𝑔 𝑥 2 𝑑𝑥 see how similar it is to the area formula
 If it is rotated around the y axis, find functions in terms of y, and treat y as if it was x
(think of it as we are naming the variable with a different letter)
General Final Tips
 Pay attention to concepts
 Make sure you understand the question before proceeding
 Don’t rush, finals are not as time intensive as midterms (in general)
 In related rates / optimization questions, always write out what you have and
what you want
 Don’t panic if your second derivative test is inconclusive, you can always go
back to first derivative test to figure things out
 If asked for a derivative of an integral, use FTC (otherwise you will end up
trying to solve a complex integral / waste time)

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Tutorfly Review Session Math 31A

  • 1. MATH 31A Review Ege Tanboga Tutorfly
  • 2. Continuity  Keep in mind that continuity at a point x = c requires that:  1. f (c) is defined. 2. lim x->c f (x) exists. 3. They are equal.  Means limit from both sides should be equal
  • 3. Squeeze Theorem  If a function has certain boundaries it cannot go above / below, then you can squeeze it in between those boundaries to find a limit  Ex. xsin(1/x)
  • 4. Intermediate Value Theorem  A function cannot skip values if it is continuous  If the boundaries change sign (Ex. f(a) < 0 f(b) >0), then there is a point where f(c)= 0, between a and b). This is a consequence of IVT
  • 5. Differentiability  Differentiability implies continuity: If f is differentiable at x = a, then f is continuous at x = a. However, there exist continuous functions that are not differentiable.  Ex. Absolute value function  Chain Rule: dy/dx = (dy/du) (du/dx)  This logic is used in both implicit differentiation and related rates so it is important to understand this notation of Chain Rule
  • 6. Related Rates  Goal: calculate an unknown rate of change in terms of other rates of change that are known.  3 Steps  1. Identify what you have and what you need to find  2. Find an equation to relate variables (relate known to unknown) – don’t substitute until you computed all derivatives  3. Use given data to find unknown derivative
  • 7. Extreme Values / Applications of Derivative  Critical points when the derivative is 0 or undefined  Plugging in values between those critical points, we can learn about the behavior of our function (sometimes without needing the second derivative test)  We can use the second derivative test to improve out understanding even more  Concavity -> can be found using either second derivative test or through plugging values between critical points for the first derivative  Inflection Point: If f ′′(c) = 0 or f ′′(c) does not exist and f′′(x) changes sign at x = c, then f has a point of inflection at x = c.
  • 8.  First Derivative  f′ >0 ⇒ f is increasing f′ <0 ⇒ f is decreasing  Second Derivative  f′′ >0 ⇒ f is concave up (local minimum) f′′ <0 ⇒ f is concave down (local maximum)  If second derivative test is inconclusive, go back to first derivative test
  • 9. Optimization  Choose which variables are relevant  Find the function and the interval you are interested in (if the function has more one variable, use the constraints to reduce it to only one variable)  Optimize the function using knowledge about extreme values  If bounds are not included, f may not take a min or max!  You need to check limit near bounds and the values at critical points
  • 10. Integrals – Fundamental Theorem of Calculus  FTC 1 – we can use antiderivatives to calculate definite integrals -> integration as we know it with bounds  FTC 2 – more important  Conditions: f is continuous on an open interval I and a is a point in I  𝑑 𝑑𝑥 𝑎 𝑥 𝑓 𝑡 𝑑𝑡 = 𝑓(𝑥)  If the bounds are both related to x, factor out the integral and evaluate separately  If bounds are not just x (Ex. x^3), take the derivative of the bounds as well (3x^2) - > comes from chain rule
  • 11. Integrals - substitution  Try to see the derivative of a function inside an integral  If you change the variable, you need to change the bounds to your new variable as well  Might need to do substitution twice in some cases
  • 12. Areas and Volumes  Area: Integral of top-bottom  Volumes of Revolution: If rotated around x-axis, then the general formula below can be applied to any situation  𝑎 𝑏 𝑓 𝑥 2 − 𝑔 𝑥 2 𝑑𝑥 see how similar it is to the area formula  If it is rotated around the y axis, find functions in terms of y, and treat y as if it was x (think of it as we are naming the variable with a different letter)
  • 13. General Final Tips  Pay attention to concepts  Make sure you understand the question before proceeding  Don’t rush, finals are not as time intensive as midterms (in general)  In related rates / optimization questions, always write out what you have and what you want  Don’t panic if your second derivative test is inconclusive, you can always go back to first derivative test to figure things out  If asked for a derivative of an integral, use FTC (otherwise you will end up trying to solve a complex integral / waste time)