Math 501 Introduction to Real Analysis Instructor: Alex Roitershtein Iowa State University Department of Mathematics Summer 2015 Homework #2 Solutions EXERCISES FROM CHAPTER 1 39. (a) It is straightforward that if f is uniformly continuous then it is continuous. Furthermore, we will learn later in the course that any continuous function on a closed and bounded interval [a, b] is uniformly continuous. However, a continuous function defined on an open (a, b) interval might not be uniformly continuous. For instance, as the textbook suggests, f (x) = sin(1/x) is not uniformly continuous on (0, 1). Indeed, by the mean value theorem, for any y ∈ (0, 1) and x ∈ (0, y) there exists ξx,y ∈ (x, y) such that (y − x) (y − x) ≥ cos y · . |f (x) − f (y)| = f 0 (ξx,y )(x − y) = cos ξx,y · 2 ξx,y y2 Thus, if f is uniformly continuous than for any ε > 0 and x, y as above there exists δε > 0 such that |x − y| < δε implies ε > |f (x) − f (y)| ≥ cos y · (y − x) . y2 In particular, if y < δε and x = y/2, ε > |f (x) − f (y)| ≥ cos y · y cos y = . 2 2y 2y The above inequality however cannot hold for any y ∈ (0, δε ) because cos y lim = +∞. y→0 2y The contradiction show that f (x) = sin(1/x) is not uniformly continuous on (0, 1). Remark. We give here a short alternative solution which is more tailored to the specific form of the function f than the above given standard argument. Since sin x is a periodic function with period 2π, function f (x) = sin 1/x will admit all values within the interval [−1, 1] when x varies within any interval x01+π , x10 , x0 > 0. However 1 1 2π − = →x0 →∞ 0. x0 x0 + 2π x0 (x0 + 2π) Thus, given any δ > 0, one can find x0 > 0 such that the length of the interval 1 1 , < δ. Since the range of f within this small interval is [−1, 1], f cannot be x0 +π x0 uniformly continuous. 1 (b) Yes. In fact, one can put δ = ε/2. Remark. Functions (for instance, linear functions f (x) = cx) that for some constant c > 0 satisfy the condition |f (x) − f (y)| ≤ c|x − y|, ∀ x, y, (1) are called Lipschitz-continuous. Lipschitz-continuity is, in general, a stronger condition than the uniform continuity. In fact, if (1) holds, one can choose δ = ε/c to verify the uniform continuity of f. (c) No. Indeed, if f (x) = x2 then for any δ > 0, f (x + δ) − f (x) = δ 2 + 2xδ. Thus limx→∞ [f (x + δ) − f (x)] = +∞ for any δ > 0. However, if f (x) would be uniform continuous on R, the difference gδ (x) := f (x + δ) − f (x) would be a bounded function of x for all small enough values of the parameter δ > 0. EXERCISES FROM CHAPTER 2 18. (a) Let p ∈ N and a constant ε > 0 be given. Put δ = ε. Then, since dN (f p, f q) = dM (p, q), dM (p, q) < δ implies dN (f p, f q) < ε, showing that f is continuous at p. (b) Since f is a bijection, the inverse f −1 is well-defined and is also a bijection. Consider now arbitrary x, y ∈ N and denote p = f −1 x, q = f −1 y. The isometry identity dN (f p, f q) = dM (p, q) implies for x = f p and y = f q, dN (x, y) = dM (f −1 x, f −1 y). Thus f −1 is also an isometry. By the result in (a) both f and f −1 are continuous, and hence f is a homeomorphism by definition. (c) We have seen that if f : [0, 1] → [0, 2] is an isometry then f −1 is also an isometry. This implies, in particular, |f −1 (0) − f −1 (2)| = 2, which is impossible since both f −1 (0) and f −1 (2) are points within the interval [0, 1]. 84. 2 (a) Function ρ is bounded by 0 from below and by 1 from above. Clearly, ρ(x, y) = ρ(y, x). Furthermore, ρ(x, y) = 0 if and only if d(x, y) = 0 if and only if x = y. It remains to verify the triangle inequality. We have: d(x, y) d(y, z) + 1 + d(x, y) 1 + d(y, z) d(x, y) + d(y, z) + 2d(x, y)d(y, z) = 1 + d(x, y) + d(y, z) + d(x, y)d(y, z) d(x, y) + d(y, z) + d(x, y)d(y, z) ≥ 1 + d(x, y) + d(y, z) + d(x, y)d(y, z) d(x, y) + d(y, z) ≥ , 1 + d(x, y) + d(y, z) ρ(x, y) + ρ(y, z) = where in the last step we used the fact that function f (t) = increasing for t ≥ 0. Using the triangle inequality t 1+t 1 = 1 − 1+t is monotone d(x, y) + d(y, z) ≥ d(x, z) and again the monotonicity of f (t) = ρ(x, y) + ρ(y, z) ≥ t , 1+t we obtain d(x, y) + d(y, z) d(x, z) ≥ = ρ(x, z), 1 + d(x, y) + d(y, z) 1 + d(x, z) as required. (b) The identity map is clearly a bijection. Assume that limn→∞ xn = x in the metric space (M, d). Then limn→∞ d(xn , x) = 0, and hence limn→∞ ρ(xn , x) = 0. This shows that the identity map is a continuous function from (M, d) to (M, ρ). Conversely, if limn→∞ ρ(xn , x) = 0, then 0 ρ(xn , x) = = 0. n→∞ 1 − ρ(xn , x) 1−0 lim d(xn , x) = lim n→∞ This shows that the identity map is a continuous function from (M, ρ) to (M, d). (c) The result in (b) implies that boundedness of M is not necessarily preserved under homeomorphisms. (d) The pair (R, ρ) and (R, d) can serve as an example when d is the usual Euclidean metric. 3