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Continuity

4.1 Limits of Functions

Let f:DRf : D \to \mathbb{R} where DRD \subseteq \mathbb{R}. We say limxaf(x)=L\lim_{x \to a} f(x) = L if for Every ε>0\varepsilon > 0There exists δ>0\delta > 0 such that

0<xa<δ    f(x)L<ε0 \lt |x - a| \lt \delta \implies |f(x) - L| \lt \varepsilon

4.2 Continuity

Definition. ff is continuous at aa if limxaf(x)=f(a)\lim_{x \to a} f(x) = f(a). In epsilon-delta form: For every ε>0\varepsilon > 0There exists δ>0\delta > 0 such that

xa<δ    f(x)f(a)<ε|x - a| \lt \delta \implies |f(x) - f(a)| \lt \varepsilon

Remark. A function is continuous on a set EE if it is continuous at every point of EE. A function is globally continuous (or “continuous”) if it is continuous on its entire domain.

Definition. ff is discontinuous at aa if it is not continuous at aa. Discontinuities are Classified as:

  • Removable: limxaf(x)\lim_{x \to a} f(x) exists but does not equal f(a)f(a) (or f(a)f(a) is undefined).
  • Jump: limxaf(x)\lim_{x \to a^-} f(x) and limxa+f(x)\lim_{x \to a^+} f(x) both exist but are unequal.
  • Essential (or infinite/oscillatory): At least one one-sided limit does not exist.

Proposition 4.3. Polynomials are continuous on R\mathbb{R}. Rational functions p(x)/q(x)p(x)/q(x) are Continuous wherever q(x)0q(x) \neq 0. The functions sinx\sin x, cosx\cos x, exe^x, lnx\ln x are continuous On their domains.

Theorem 4.1 (Algebra of Continuous Functions). If ff and gg are continuous at aaThen f+gf+g fgf-g, fgfgAnd (where defined) f/gf/g are continuous at aa.

Theorem 4.2. Compositions of continuous functions are continuous: if ff is continuous at aa and gg is continuous at f(a)f(a)Then gfg \circ f is continuous at aa.

4.2a Sequential Characterization of Limits and Continuity

The epsilon-delta definitions can be reformulated in terms of sequences, which is often more Convenient for …/1-number-and-algebra/3_proof-and-logics.

Proposition 4.2a (Sequential Criterion for Limits). limxcf(x)=L\lim_{x \to c} f(x) = L if and only if For every sequence (xn)(x_n) with xncx_n \to c and xncx_n \neq c for all nnWe have f(xn)Lf(x_n) \to L.

Proof. (\Rightarrow) Let ε>0\varepsilon > 0. Choose δ>0\delta > 0 from the ε\varepsilon-δ\delta definition. Since xncx_n \to cThere exists NN with xnc<δ|x_n - c| \lt \delta for nNn \geq N. Then f(xn)L<ε|f(x_n) - L| \lt \varepsilon for nNn \geq N.

(\Leftarrow) Suppose the ε\varepsilon-δ\delta condition fails. Then there exists ε>0\varepsilon > 0 such That for every nNn \in \mathbb{N}There exists xnx_n with 0<xnc<1/n0 \lt |x_n - c| \lt 1/n but f(xn)Lε|f(x_n) - L| \geq \varepsilon. Then xncx_n \to c but f(xn)↛Lf(x_n) \not\to LContradicting the hypothesis. \blacksquare

Corollary 4.2b. ff is continuous at cc if and only if for every sequence (xn)(x_n) with xncx_n \to c We have f(xn)f(c)f(x_n) \to f(c).

This is especially useful for proving that a function is not continuous: find one sequence Converging to cc whose image does not converge to f(c)f(c).

4.3 Intermediate Value Theorem

Theorem 4.3 (IVT). If f:[a,b]Rf : [a,b] \to \mathbb{R} is continuous and f(a)<y<f(b)f(a) \lt y \lt f(b) (or f(b)<y<f(a)f(b) \lt y \lt f(a)), then there exists c(a,b)c \in (a,b) such that f(c)=yf(c) = y.

Proof. Assume f(a)<y<f(b)f(a) \lt y \lt f(b). Let S={x[a,b]:f(x)<y}S = \{x \in [a,b] : f(x) \lt y\}. Since aSa \in S SS is non-empty and bounded above by bb. Let c=sup(S)c = \sup(S). We show f(c)=yf(c) = y.

If f(c)<yf(c) \lt yThen by continuity at ccThere exists δ>0\delta > 0 such that f(x)<yf(x) \lt y for x(cδ,c+δ)x \in (c - \delta, c + \delta). But then c+δ/2Sc + \delta/2 \in SContradicting that c=sup(S)c = \sup(S).

If f(c)>yf(c) > yThen by continuity, there exists δ>0\delta > 0 such that f(x)>yf(x) > y for x(cδ,c+δ)x \in (c - \delta, c + \delta). But then cδ/2c - \delta/2 is an upper bound for SSContradicting That c=sup(S)c = \sup(S).

Therefore f(c)=yf(c) = y. \blacksquare

Alternative …/1-number-and-algebra/3_proof-and-logic (bisection). Set a0=aa_0 = a, b0=bb_0 = b. Given [an,bn][a_n, b_n] with f(an)<y<f(bn)f(a_n) \lt y \lt f(b_n) Let mn=(an+bn)/2m_n = (a_n + b_n)/2. If f(mn)yf(m_n) \geq ySet an+1=ana_{n+1} = a_n, bn+1=mnb_{n+1} = m_n. If f(mn)<yf(m_n) \lt y Set an+1=mna_{n+1} = m_n, bn+1=bnb_{n+1} = b_n. Either way, f(an)<yf(bn)f(a_n) \lt y \leq f(b_n) and bnan=(ba)/2n0b_n - a_n = (b-a)/2^n \to 0. By the nested interval property, anca_n \to c and bncb_n \to c. By continuity, f(c)=limf(an)yf(c) = \lim f(a_n) \leq y And f(c)=limf(bn)yf(c) = \lim f(b_n) \geq ySo f(c)=yf(c) = y. \blacksquare

4.4 Extreme Value Theorem

Theorem 4.4 (EVT). If f:[a,b]Rf : [a,b] \to \mathbb{R} is continuous, then ff attains its maximum and Minimum on [a,b][a,b]: there exist c1,c2[a,b]c_1, c_2 \in [a,b] such that f(c1)f(x)f(c2)f(c_1) \leq f(x) \leq f(c_2) for all x[a,b]x \in [a,b].

Proof. We first show ff is bounded. Suppose not; then for each nNn \in \mathbb{N}There exists xn[a,b]x_n \in [a,b] with f(xn)>n|f(x_n)| > n. By Bolzano-Weierstrass, (xn)(x_n) has a convergent subsequence xnkc[a,b]x_{n_k} \to c \in [a,b]. By continuity, f(xnk)f(c)f(x_{n_k}) \to f(c)So (f(xnk))(f(x_{n_k})) is bounded. But f(xnk)>nk|f(x_{n_k})| > n_k \to \inftyA contradiction.

Now we show ff attains its supremum. Let M=sup{f(x):x[a,b]}M = \sup\{f(x) : x \in [a,b]\}. For each nnChoose xn[a,b]x_n \in [a,b] with f(xn)>M1/nf(x_n) > M - 1/n. By Bolzano-Weierstrass, (xn)(x_n) has a subsequence xnkc[a,b]x_{n_k} \to c \in [a,b]. By continuity, f(c)=limf(xnk)f(c) = \lim f(x_{n_k}). Since M1/nk<f(xnk)MM - 1/n_k \lt f(x_{n_k}) \leq M for all kkThe squeeze theorem gives f(c)=Mf(c) = M. The argument for the infimum is similar (consider f-f). \blacksquare

4.5 Uniform Continuity

Definition. ff is uniformly continuous on DD if for every ε>0\varepsilon > 0There exists δ>0\delta > 0 such that for all x,yDx, y \in D:

xy<δ    f(x)f(y)<ε|x - y| \lt \delta \implies |f(x) - f(y)| \lt \varepsilon

The key distinction: for ordinary continuity, δ\delta may depend on both ε\varepsilon and the point aa; for uniform continuity, δ\delta depends only on ε\varepsilon.

4.6 The Heine-Cantor Theorem

Theorem 4.5 (Heine-Cantor). If f:[a,b]Rf : [a,b] \to \mathbb{R} is continuous on the closed, bounded Interval [a,b][a,b]Then ff is uniformly continuous on [a,b][a,b].

Proof. Suppose ff is continuous on [a,b][a,b] but not uniformly continuous. Then there exists ε>0\varepsilon > 0 such that for every nNn \in \mathbb{N}There exist xn,yn[a,b]x_n, y_n \in [a,b] with xnyn<1/n|x_n - y_n| \lt 1/n but f(xn)f(yn)ε|f(x_n) - f(y_n)| \geq \varepsilon.

By the Bolzano-Weierstrass theorem, (xn)(x_n) has a convergent subsequence xnkc[a,b]x_{n_k} \to c \in [a,b]. Since xnkynk<1/nk0|x_{n_k} - y_{n_k}| \lt 1/n_k \to 0We have ynkcy_{n_k} \to c as well.

By continuity of ff at cc: there exists δ>0\delta > 0 such that xc<δ|x - c| \lt \delta implies f(x)f(c)<ε/2|f(x) - f(c)| \lt \varepsilon/2. For kk sufficiently large, xnkc<δ|x_{n_k} - c| \lt \delta and ynkc<δ|y_{n_k} - c| \lt \deltaSo:

f(xnk)f(ynk)f(xnk)f(c)+f(ynk)f(c)<ε/2+ε/2=ε|f(x_{n_k}) - f(y_{n_k})| \leq |f(x_{n_k}) - f(c)| + |f(y_{n_k}) - f(c)| \lt \varepsilon/2 + \varepsilon/2 = \varepsilon

Contradicting f(xnk)f(ynk)ε|f(x_{n_k}) - f(y_{n_k})| \geq \varepsilon. \blacksquare

4.7 Worked Examples

Problem. Prove that f(x)=xf(x) = \sqrt{x} is uniformly continuous on [0,)[0, \infty).

Solution. For x,y0x, y \geq 0: xy=xyx+yxy1/2|\sqrt{x} - \sqrt{y}| = \frac{|x - y|}{\sqrt{x} + \sqrt{y}} \leq |x - y|^{1/2}.

Given ε>0\varepsilon > 0Choose δ=ε2\delta = \varepsilon^2. Then xy<δ|x - y| \lt \delta implies xyxy<δ=ε|\sqrt{x} - \sqrt{y}| \leq \sqrt{|x-y|} \lt \sqrt{\delta} = \varepsilon. Since δ\delta depends Only on ε\varepsilonThe continuity is uniform. \blacksquare

Worked Example: $\varepsilon$-$\delta$ .../1-number-and-algebra/3_proof-and-logic that $f(x) = 3x - 1$ is continuous at $x = 2$

Solution. We have f(2)=5f(2) = 5. Let ε>0\varepsilon > 0. We need to find δ>0\delta > 0 such that x2<δ|x - 2| \lt \delta implies f(x)5<ε|f(x) - 5| \lt \varepsilon.

Compute: f(x)5=(3x1)5=3x6=3x2|f(x) - 5| = |(3x - 1) - 5| = |3x - 6| = 3|x - 2|.

Choose δ=ε/3\delta = \varepsilon/3. Then x2<δ|x - 2| \lt \delta implies f(x)5=3x2<3ε/3=ε|f(x) - 5| = 3|x - 2| \lt 3 \cdot \varepsilon/3 = \varepsilon. \blacksquare

Worked Example: $\varepsilon$-$\delta$ .../1-number-and-algebra/3_proof-and-logic that $f(x) = x^2$ is continuous at $x = 3$

Solution. We have f(3)=9f(3) = 9. Let ε>0\varepsilon > 0. Compute:

f(x)9=x29=x+3x3|f(x) - 9| = |x^2 - 9| = |x + 3| \cdot |x - 3|

Restrict to δ1\delta \leq 1So x3<1|x - 3| \lt 1 means 2<x<42 \lt x \lt 4Giving x+3<7|x + 3| \lt 7.

Choose δ=min(1,ε/7)\delta = \min(1, \varepsilon/7). Then x3<δ|x - 3| \lt \delta implies:

x29=x+3x3<7ε7=ε|x^2 - 9| = |x + 3| \cdot |x - 3| \lt 7 \cdot \frac{\varepsilon}{7} = \varepsilon

\blacksquare

Worked Example: Show $f(x) = 1/x$ is NOT uniformly continuous on $(0, 1)$

Solution. We show the negation of uniform continuity. Take ε=1\varepsilon = 1. For any δ>0\delta > 0 Choose nNn \in \mathbb{N} with 1/n<δ1/n \lt \delta. Set x=1/nx = 1/n and y=1/(2n)y = 1/(2n). Then xy=1/(2n)<1/n<δ|x - y| = 1/(2n) \lt 1/n \lt \deltaBut:

f(x)f(y)=11/n11/(2n)=n2n=n1=ε|f(x) - f(y)| = \left|\frac{1}{1/n} - \frac{1}{1/(2n)}\right| = |n - 2n| = n \geq 1 = \varepsilon

So no single δ\delta works for all x,y(0,1)x, y \in (0,1). \blacksquare

Worked Example: Use the sequential criterion to show $f(x) = \sin(1/x)$ has no limit as $x \to 0$

Solution. Consider the sequences xn=1/(2nπ)x_n = 1/(2n\pi) and yn=1/(2nπ+π/2)y_n = 1/(2n\pi + \pi/2). Both converge to 00. But f(xn)=sin(2nπ)=0f(x_n) = \sin(2n\pi) = 0 and f(yn)=sin(2nπ+π/2)=1f(y_n) = \sin(2n\pi + \pi/2) = 1 for all nn.

So f(xn)0f(x_n) \to 0 and f(yn)1f(y_n) \to 1. By the sequential criterion, if limx0f(x)\lim_{x \to 0} f(x) existed, Both subsequences would converge to the same limit. Since they don”t, the limit does not exist. \blacksquare

Worked Example: Prove $f(x) = x \sin(1/x)$ (with $f(0) = 0$) is continuous everywhere

Solution. For x0x \neq 0, ff is a product of continuous functions, hence continuous.

At x=0x = 0: let ε>0\varepsilon > 0. Choose δ=ε\delta = \varepsilon. For x0=x<δ|x - 0| = |x| \lt \delta:

f(x)f(0)=xsin(1/x)x<δ=ε|f(x) - f(0)| = |x \sin(1/x)| \leq |x| \lt \delta = \varepsilon

So ff is continuous at 00. Since ff extends continuously from (0,1](0, 1] to [0,1][0, 1]The Heine-Cantor Theorem implies ff is uniformly continuous on [0,1][0, 1]. \blacksquare

Worked Example: $\varepsilon$-$\delta$ .../1-number-and-algebra/3_proof-and-logic that $f(x) = \sin x$ is continuous at every $a \in \mathbb{R}$

Solution. We use the identity sinusinvuv|\sin u - \sin v| \leq |u - v| for all u,vRu, v \in \mathbb{R}. (Proof: sinusinv=2cos((u+v)/2)sin((uv)/2)2sin((uv)/2)uv|\sin u - \sin v| = 2|\cos((u+v)/2)\sin((u-v)/2)| \leq 2|\sin((u-v)/2)| \leq |u - v| Using sintt|\sin t| \leq |t| and cos1|\cos| \leq 1.)

Let ε>0\varepsilon > 0 and aRa \in \mathbb{R}. Choose δ=ε\delta = \varepsilon. For xa<δ|x - a| \lt \delta:

sinxsinaxa<δ=ε|\sin x - \sin a| \leq |x - a| \lt \delta = \varepsilon

Since δ=ε\delta = \varepsilon works independently of aa, sinx\sin x is actually uniformly continuous On R\mathbb{R}. The same argument works for cosx\cos x. \blacksquare

Worked Example: $\varepsilon$-$\delta$ .../1-number-and-algebra/3_proof-and-logic that $f(x) = e^x$ is continuous at every $a \in \mathbb{R}$

Solution. We use the inequality euevemax(u,v)uv|e^u - e^v| \leq e^{\max(u,v)} |u - v|Which follows from the Mean Value Theorem applied to ete^t: euev=eξ(uv)e^u - e^v = e^\xi (u - v) for some ξ\xi between uu and vv So euev=eξuvemax(u,v)uv|e^u - e^v| = e^\xi |u - v| \leq e^{\max(u,v)} |u - v|.

Let ε>0\varepsilon > 0 and aRa \in \mathbb{R}. Restrict to xa<1|x - a| \lt 1So x<a+1x \lt a + 1 and emax(x,a)ea+1e^{\max(x,a)} \leq e^{a+1}. Choose δ=min(1,ε/ea+1)\delta = \min(1, \varepsilon / e^{a+1}). For xa<δ|x - a| \lt \delta:

exeaea+1xa<ea+1εea+1=ε|e^x - e^a| \leq e^{a+1} |x - a| \lt e^{a+1} \cdot \frac{\varepsilon}{e^{a+1}} = \varepsilon

\blacksquare

If you get this wrong, revise: Section 4.2 (Continuity), Section 5.3 (Mean Value Theorem).

:::caution Common Pitfall Continuity on (a,b)(a, b) does not imply uniform continuity. The function f(x)=1/xf(x) = 1/x on (0,1)(0, 1) is Continuous but not uniformly continuous. The Heine-Cantor theorem requires a closed and bounded Interval. Also, a function can be uniformly continuous on an unbounded domain (e.g., f(x)=xf(x) = \sqrt{x} On [0,)[0, \infty)) --- boundedness of the domain is sufficient but not necessary.

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