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MIDTERM 1 REVIEW

MICHAEL

First, a (no promise of being exhaustive) list of topics. (1) Being familiar with homework problems is a good idea. (2) Anything from last quarter is fair game, of course. (3) Definition of an . Note you should definitely know the geometric pictures, but knowing the technicalities of partitions, upper sums, and lower sums is also good. (4) Elementary properties of integrable functions: basic lower and upper bounds, additivity, , integrable on [a, b] implies integrable on a of [a, b]... (5) Continuous implies integrable. (6) Basic examples of non-integrable functions (most importantly, not bounded implies not integrable). R x (7) Definition of ; definition of F (x) = c f(t) dt and basic properties of this . (8) : If f is continuous on [a, b], and F and G are of f, then there exists a constant c such that f(x) = g(x) + c. (9) First Fundamental Theorem of : if c ∈ [a, b], f is continuous at d ∈ (a, b), and F (x) = R x 0 c f(t) dt, then F (d) = f(d). Also know its more useful statement: if c ∈ [a, b], f continuous R x 0 on [a, b], then F (x) = c f(t) dt is continuous on [a, b], differentiable on (a, b), and F (x) = f(x). Understanding the proof geometrically is good. (10) Using the above two points to prove the Second Fundamental Theorem of Calculus for continuous functions. R tan(x) (11) Applying the First Fundamental Theorem to differentiate, for example, cos(x) sin(t) dt on (−π/2, π/2). (12) The Second Fundamental Theorem of Calculus: if f is integrable on [a, b], and F is an antiderivative R b for f on [a, b], then a f(x) dx = F (b) − F (a). Knowing that the hypotheses here are necessary is also good. (13) More advanced properties: f < g =⇒ R f < R g, | R f| ≤ R |f|, f and g integralbe implies f · g integralbe, etc. (14) Definition of indefinite , and inherent qualms therein (e.g., f need not be integrable for R f to exist; if f is integrable, then R f need not exist; “+C” does not really mean plust a constant, with like f(x) = 1/x). (15) The integrals we should know, e.g., xα for α 6= −1, and those coming from the of the trig functions. 0 R b 0 (16) The statement of u-substitution: if f is continuous, ϕ differentiable, and ϕ integrable, then a f(ϕ(x))ϕ (x) dx = R ϕ(b) ϕ(a) f(x) dx. Also how this is derived simply from integrating the . (17) Using u-substitution in the forward direction, to solve things like R sin(x) cos(x) dx, R (x2+2x5)/(x3+ x6) dx, or R sec3(x) tan(x) dx. √ √ (18) Using u-substitution in the reverse direction, to solve things like R 1 − x2 dx, R p9 − x dx.

(19) Using u-substitution just√ to make a simple change of coordinates to make integrals easier, like R (x + 3)(x − 1)5 dx, R x 4 − x dx, R (x + 7)/(3x + 4)3 dx.

Last modified: January 24, 2020, Date of test: January 27, 2020. 1 2 MICHAEL

(20) The for Integrals: if f is continuous on [a, b], g is integrable on [a, b], g(x) ≥ 0, R b R b then there exists c ∈ (a, b) such that a f(x)g(x) dx = f(c) a g(x) dx. (21) Solving for g-weighted averages, I guess: this is really just solving integrals, but the terminology needs to be known. (22) Symmetry tricks are good: integral of an odd function about a symmetric domain is zero, trying a substitution that flips bounds of integration on a definite integral, etc. A lot of other “tricks” that people talk about are just guessing convenient u’s, for doing the “reverse direction” version of u-substitution. (23) Using integrals to set-up area problems, e.g., finding the area bounded by some subset of in the .

Now the next problems are not comprehensive. If you want more problems, you should be able to solve anything from Chapter 2 of the textbook should be fine.

Problems: (1) For the following problems, answer true or false. If true, provide a brief reason. If false, provide a counterexample. R b R b (i) Suppose a f(x) dx = 0. Then a |f(x)| dx = 0. R x (ii) If u is once differentiable, then 0 u(t) dt is twice differentiable. R 1 R 1 2 (iii) If 0 u du = 0, then 0 u = 0. R 1 2 R 1 (iv) If u is continuous then 0 u dx = 0, then 0 u dx = 0.

(v) If R 1 |f(x)| dx ≤ 2, then R 1 f(x) dx ≤ 2. 0 0 (vi) If f is continuous and g > 0, then

Z b R b f a f dx dx = b . a g R a g dx (vii) If f and g are two continuous functions defined on [a, b], then

b b R f dx R g(x) dx R fg a a = . b − a b − a b − a R f (viii) If f and g are continuous and g 6= 0, then g dx exists. R b (ix) If a f(x) dx = 0, then there exists c such that f(c) = 0. (x) Z π/2 √ Z π/2 cos x dx < cos x. 0 0 (xi) Suppose f is a continuous function defined on [0, ∞) that is positive. If x > y > 0, then Z y Z x f(t) dt < f(t) dt. 0 0 R b R b (xii) If a f(t) dt ≤ a g(t) dt, then there exists c ∈ (a, b) such that f(c) < g(c). (xiii) Suppose that f, g are continuous defined on [a, b] and that for c ∈ [a, b], Z c Z c f(t) dt < g(t) dt. a a Then f(x) ≤ g(x) for all x ∈ [a, b]. MIDTERM 1 REVIEW 3

R b R a (xiv) If a f(t) dt = c, then b f(t) dt = −c. (xv) −0 = 0. (xvi) If u:[a, b] → [c, d] and f :[c, d] → R are continuous, then Z d Z b f(t) dt = f(u(t))u0(t) dt. c a Z 16 1 (xvii) 3 dt < 1. 0 1 + x R 1 2020 (xviii) 0 sin (x) dx < 1 R x (xix) If f(x) > 0, then 0 f(t) dt has no local extrema. (xx) If f(t) > 0 and g(x) > 0 are continuous, then Z g(x) f(t) dt 0 has no local extrema. (xxi) If f(x) > 0, continuous, and f is defined on [0, ∞), then sZ x f(t) dt 0 has no critical points. R cos(x) (xxii) Suppose that f is continuous. Then F (x) = 0 f(t) dt is periodic. (xxiii) Suppose that f and g are continuous functions defined on [a, b]. Then there exists c such that R b f(t) dt R b g(t) dt f(c) = a and g(c) = a . b − a b − a (xxiv) Suppose f > 0 on [0, ∞) then ∃x > 0, such that Z x f(t) dt = π 0 R x R x p (xxv) If 0 f(t) dt has a horizontal , then 0 f(t) dt has a horizontal asymptote. R b R b 2 (xxvi) Suppose a |f(x)| dx = 0. Then a f(x) dx = 0. R x (xxvii) There exists a g such that 0 g(t) dt has a cusp at x = 1. (xxviii) 10 10 Z X X Z sin(ix) dx = sin(ix) dx. i=1 i=1 (xxix) If |f| ≤ 1, then Z Z gf dx ≤ g dx

(xxx) If F,G are two antiderivatives of 1/x on its domain of definition, then F − G is constant. R x R x 0 (xxxi) Let H(x) = 0 f(t) dt 0 g(t) dt. Then H (x) = f(x)g(x). R 3 0 R 3 (xxxii) Let F (x) = 2 x cos(t) dt. Then F (x) = 2 cos(t) dt.

(xxxiii) Suppose that f is continous function defined on [0, 1]. Let P1 = {0, 1/2, 1} and let P2 = {0, 1/3, 2/3, 1}. Then for all f

Lf (P1) ≤ Lf (P2). (xxxiv) If p(x) is a defined on R and F is an antiderivative of p(x), then F is a polynomial. 4 MICHAEL

R π (xxxv) If f(x) = f(x + π) then 0 f(t) dt = 0. R x (xxxvi) If F (−x) = −F (x), then 0 F (t) dt is an odd function. (xxxvii) If f is continuous, Z 1 Z 1 f(x) dx = f(1 − x) dx. 0 0 0 R x (xxxviii) If F = f, then 0 f = F (x) + c for some constant c. (xxxix) If m > n then Z 1 Z 1 xm dx > xn dx. 0 0 (xl) Z b Z b Z b |f + g| ≤ |f| + |g| a a a (xli) If f is defined on R and 1 ≤ f ≤ 2, then there exists c such that Z c f(t) dt = 2020. 0 R c (xlii) If 0 < f < 2, then there exists c such that 0 f(t) dt = 2020. R b 2 R b (xliii) Suppose a f(x) dx = 0. Then a |f(x)| dx = 0. (xliv) 3 R x f(t) dt lim 0 = 1. x→0 R x2 0 f(t) dt R b R b R b (xlv) If a f + g dx = 0 and a f − g dx = 0, then a f dx = 0. R x 0 (xlvi) Let F (x) = 0 f(t) dt. If f > 0, then F (x) lies above its line. (xlvii) Suppose f is continuous and defined on [a, b] and the maximum of f is c. Then Z b f 2 dx ≤ c2(b − a). a (xlviii) d Z x Z y  Z x Z x f(y) g(t) dt dy = f(x) g(t) dt + f(y)g(y) dy. dx 0 0 0 0 (xlix) If f is a function defined on (0, 1) ∪ (2, 3) and F and G are two antiderivatives of f, then there exists a number c such that F − G = c. R x (l) If f is twice differentiable, then F (x) = 0 f(t) dt is three times differentiable. R x (li) If f(x) > 0 then the function F (x) = 0 f(t) dt has a local minimum. R b (lii) If f > 0 is a continuous function defined on [a, b], then a f dx > 0.

(liii) Suppose R b f(x) dx > R b g(x) dx . Then R b |f(x)| dx > R b |g(x)| dx. a a a a R b R b  R b  (liv) If f, g are both continuous functions defined on [a, b], then a fg dx = a f dx a g dx .

(lv) If f is continuous on [a, b] and there exists a partition P of [a, b] such that Lf (P ) = Uf (P ) then f is constant on [a, b]. (lvi) There exists a continuous function f on [0, 1] such that

Uf ({0, 1/2, 1}) < Uf ({0, 1/4, 1/2, 3/4, 1}).

(lvii) If f is continuous on [0, 1], then for any partitions P and Q of [0, 1] we have Lf (P ) ≤ Uf (Q). MIDTERM 1 REVIEW 5

(2) Compute the following. Z (i) x7 − 5x4 + 3x3 − 2x + 1 dx

Z √ (ii) x5 − x − x−3/5 dx Z (iii) tan(x) sec2(x)(sec3(x) + tan3(x)) dx Z (iv) sin(x)(cos4(x) − cos2(x) − sec3(x)) dx

Z 1 p (v) x 1 − x4 dx 0 Z x (vi) dx x3 − 6x2 + 12x − 8 Z √ (vii) x3 2 + 3x dx

Z sin(x) (viii) dx 1 + cos(2x) Z x (ix) √ dx 3 + 2x2 Z x + 4 (x) dx (x + 3)2(x + 5)2 Z x2 + 2x3 cos2(x) + cos2(x) (xi) dx (x sin(x) + x3 cos(x) − cos(x))2 (3) Compute the following. d Z x (i) sin(t2) dt dx 0 d Z x (ii) sin(t2) dt dx −x d Z 1 (iii) sin(t2) dt dx x2−5 d Z cos(x) (iv) sin(cos(t)) dt dx sin(x)

3 d Z x 1 (v) dt 3 1/3 dx x1/3 t + t (4) Compute the following. Z 8 (i) x4 sin9(x) cos4(x) dx −8 Z 7 (ii) (x − 2)7 + 5(x − 2)5 − (x − 2)3 + 17(x − 2) dx −3 Z 4 ((x + 1)(x + 5))1/5 (iii) dx 2 1/5 2 1/5 −1 (x − 12x + 32) + (x + 6x + 5) (5) Find the area bounded between y = x2 − x and x = y2 − y. (6) Find the area bounded between y = x3 − x and x = y3 − y. 6 MICHAEL

(7) Can you extend the above, and find the area bounded between y = xn − x and x = yn − y with n odd? What about when n is even? √ √ (8) Find the area bounded by y = x, 2x = y + 1, and y = −2x. (The algebra here is accidentally a lot harder than it was supposed to be. It is a good exercise to think about, but explicitly solving is hard.) (9) Let f be continuous. Suppose that g is a function such that the average of g on any is equal to the average of f on that interval. Prove that limh→0 g(x + h) = f(x). (10) One can treat a like these “rod” problems. Specifically, put a (right, circular) cone of radius r and height h with its vertex at the origin, and with its height parallel to the x-axis. Then its mass density can be written as simply the cross-sectional area, i.e., at distance x from the origin, we have λ(x) = π(rx/h)2. (i) Find the “mass” of this “rod”. What property of the cone is this? (ii) Find the “center of mass” of this “rod”. What is the center of mass of the cone? Remark: This above is an actually useful method of thinking about “rods”: you should think of these as a projection of an object onto a one-dimensional coordinate. This will be what we do after the exam.