Comprehensive Study Notes on Calculus: Limits, Continuity, Differentiability, Mean Value Theorems, Asymptotes, and Curve Tracing

Limits and Neighbourhoods

  • Neighbourhood of a Point:

    • In a space with a distance function d(–,–)d(\text{--}, \text{--}), the neighbourhood of a point aa with radius ̢\delta (denoted by Na(δ)N_a(\delta)) is defined as:     Na(δ)={x:d(x,a)<δ}N_a(\delta) = \{x : d(x, a) < \delta\}

    • On the real line R\mathbb{R}, the distance function is d(x,a)=∣x−a∣d(x, a) = |x - a|. Thus, for a∈Ra \in \mathbb{R}:     Na(δ)={x:∣x−a∣<δ}N_a(\delta) = \{x : |x - a| < \delta\}

    • Example 1.1: Finding the neighbourhood of a=2a = 2 with δ=1\delta = 1:     N2(1)={x:∣x−2∣<1}=(1,3)N_2(1) = \{x : |x - 2| < 1\} = (1, 3)     This represents the set of all points lying in the open interval (1,3)(1, 3).     

      Neighbourhood of a point on real line
    • Example 1.2: Finding the neighbourhood of a=−1a = -1 with δ=2\delta = 2:     N−1(2)={x:∣x−(−1)∣<2}=(−3,1)N_{-1}(2) = \{x : |x - (-1)| < 2\} = (-3, 1)

  • Deleted Neighbourhood of a Point:

    • The deleted neighbourhood of a point a∈Ra \in \mathbb{R} (denoted by Na∗(δ)N_a^{*}(\delta)) excludes the point aa itself:     Na∗(δ)={x:0<d(x,a)<δ}={x:0<∣x−a∣<δ}N_a^{*}(\delta) = \{x : 0 < d(x, a) < \delta\} = \{x : 0 < |x - a| < \delta\}

    • Example 1.3: Finding the deleted neighbourhood of a=2a = 2 with δ=1\delta = 1:     N2∗(1)={x:0<∣x−2∣<1}=(1,3)∖{2}=(1,2)∪(2,3)N_2^{*}(1) = \{x : 0 < |x - 2| < 1\} = (1, 3) \setminus \{2\} = (1, 2) \cup (2, 3)     

      Deleted neighbourhood of a point on real line
    • Example 1.4: Finding the deleted neighbourhood of a=12a = \frac{1}{2} with δ=34\delta = \frac{3}{4}:     N1/2∗(3/4)={x:0<∣x−12∣<34}=(12−34,12+34)∖{12}=(−14,12)∪(12,54)N_{1/2}^{*}(3/4) = \left\{x : 0 < \left|x - \frac{1}{2}\right| < \frac{3}{4}\right\} = \left(\frac{1}{2} - \frac{3}{4}, \frac{1}{2} + \frac{3}{4}\right) \setminus \left\{\frac{1}{2}\right\} = \left(-\frac{1}{4}, \frac{1}{2}\right) \cup \left(\frac{1}{2}, \frac{5}{4}\right)

Formal Definition of a Limit and Epsilon-Delta Proofs

  • Motivation:

    • For functions like f(x)=x2−4x−2f(x) = \frac{x^2 - 4}{x - 2}, evaluating f(2)f(2) directly yields an undefined expression. Understanding the behavior of f(x)f(x) when xx is extremely close to 22 requires the concept of a limit.

  • Formal Definition of Limit:

    • Let f:I⊆R→Rf : I \subseteq \mathbb{R} \rightarrow \mathbb{R} be a real-valued function. A real number ll is said to be the limit of f(x)f(x) at x=ax = a if for any ϵ>0\epsilon > 0, there exists a δ>0\delta > 0 (depending on ϵ\epsilon and aa) such that for all xx:     ∣f(x)−l∣<ϵwhenever0<∣x−a∣<δ|f(x) - l| < \epsilon \quad \text{whenever} \quad 0 < |x - a| < \delta

    • Symbolically written as:     lim⁡x→af(x)=l\lim_{x \rightarrow a} f(x) = l

    • Alternative representations:     0<∣x−a∣<δ  ⟹  ∣f(x)−l∣<ϵ0 < |x - a| < \delta \implies |f(x) - l| < \epsilon     x∈Na∗(δ)  ⟹  f(x)∈Nl(ϵ)x \in N_a^{*}(\delta) \implies f(x) \in N_l(\epsilon)

    • Note: f(a)f(a) may not exist, or if it exists, f(a)f(a) might not belong to Nl(ϵ)N_l(\epsilon).   

      Existence of limit of a real-valued function
  • Detailed Epsilon-Delta Proof Examples:

    • Example 1.6: Prove lim⁡x→2x2−4x−2=4\lim_{x \rightarrow 2} \frac{x^2 - 4}{x - 2} = 4

    • Estimate: ∣f(x)−4∣=∣x2−4x−2−4∣=∣(x+2)−4∣=∣x−2∣|f(x) - 4| = \left|\frac{x^2 - 4}{x - 2} - 4\right| = |(x + 2) - 4| = |x - 2|

    • Choice: Choosing δ=ϵ\delta = \epsilon gives ∣f(x)−4∣=∣x−2∣<ϵ|f(x) - 4| = |x - 2| < \epsilon whenever 0<∣x−2∣<δ0 < |x - 2| < \delta.

    • Example 1.7: Prove lim⁡x→0(2x+5)=5\lim_{x \rightarrow 0} (2x + 5) = 5

    • Estimate: ∣f(x)−5∣=∣(2x+5)−5∣=2∣x∣|f(x) - 5| = |(2x + 5) - 5| = 2|x|

    • Choice: Choosing δ=ϵ2\delta = \frac{\epsilon}{2} gives ∣f(x)−5∣=2∣x∣<2(ϵ2)=ϵ|f(x) - 5| = 2|x| < 2 \left(\frac{\epsilon}{2}\right) = \epsilon whenever 0<∣x−0∣<δ0 < |x - 0| < \delta.

    • Example 1.8: Prove lim⁡x→22(x2+x−6)x−2=10\lim_{x \rightarrow 2} \frac{2(x^2 + x - 6)}{x - 2} = 10

    • Estimate: ∣f(x)−10∣=∣2(x−2)(x+3)x−2−10∣=∣2x−4∣=2∣x−2∣|f(x) - 10| = \left|\frac{2(x - 2)(x + 3)}{x - 2} - 10\right| = |2x - 4| = 2|x - 2|

    • Choice: Choosing δ=ϵ2\delta = \frac{\epsilon}{2} gives ∣f(x)−10∣=2∣x−2∣<ϵ|f(x) - 10| = 2|x - 2| < \epsilon whenever 0<∣x−2∣<δ0 < |x - 2| < \delta.

    • Example 1.9: Prove lim⁡x→2x2=4\lim_{x \rightarrow 2} x^2 = 4

    • Analysis: ∣f(x)−4∣=∣x2−4∣=∣x+2∣∣x−2∣|f(x) - 4| = |x^2 - 4| = |x + 2||x - 2|. Assuming δ<1\delta < 1, −1<x−2<1  ⟹  3<x+2<5  ⟹  ∣x+2∣<5-1 < x - 2 < 1 \implies 3 < x + 2 < 5 \implies |x + 2| < 5.

    • Thus, ∣f(x)−4∣<5∣x−2∣|f(x) - 4| < 5|x - 2|. To ensure 5∣x−2∣<ϵ5|x - 2| < \epsilon, take ∣x−2∣<ϵ5|x - 2| < \frac{\epsilon}{5}.

    • Formal Choice: δ=min⁡(1,ϵ5){\delta = \min\left(1, \frac{\epsilon}{5}\right)}. Then ∣f(x)−4∣<5∣x−2∣<5(ϵ5)=ϵ|f(x) - 4| < 5|x - 2| < 5\left(\frac{\epsilon}{5}\right) = \epsilon whenever |x - 2| < \delta$.\n * General bound method: |x| = |x - 2 + 2| \le |x - 2| + 2 < \delta + 2 < 3(assuming(assuming\delta < 1).Then). Then|f(x) - 4| < (|x| + 2)|x - 2| < 5|x - 2|.\n * **Example 1.10**: For \lim_{x \rightarrow 5} \sqrt{x - 1} = 2,find, find\delta > 0forfor\epsilon = 1\n * Step (i): Solve |\sqrt{x - 1} - 2| < 1 \iff -1 < \sqrt{x - 1} - 2 < 1 \iff 1 < \sqrt{x - 1} < 3 \iff 1 < x - 1 < 9 \iff 2 < x < 10.\n * Step (ii): Centered interval (5 - \delta, 5 + \delta)insideinside(2, 10).Distancefrom. Distance from5tonearestendpointisto nearest endpoint is3.Thus,choosing. Thus, choosing\delta = 3guaranteesguarantees0 < |x - 5| < 3 \implies |\sqrt{x - 1} - 2| < 1$.

    • Example 1.11: Prove lim⁡x→11+x=2\lim_{x \rightarrow 1} \sqrt{1 + x} = \sqrt{2}

    • Estimate: ∣f(x)−2∣=∣1+x−2∣=∣1+x−21+x+2∣=∣x−1∣1+x+2|f(x) - \sqrt{2}| = |\sqrt{1 + x} - \sqrt{2}| = \left|\frac{1 + x - 2}{\sqrt{1 + x} + \sqrt{2}}\right| = \frac{|x - 1|}{\sqrt{1 + x} + \sqrt{2}}.

    • Since 1+x+2>1\sqrt{1 + x} + \sqrt{2} > 1 on domain (−1,∞)(-1, \infty), ∣f(x)−2∣<∣x−1∣|f(x) - \sqrt{2}| < |x - 1|.

    • Choice: Choosing δ=ϵ\delta = \epsilon yields ∣f(x)−2∣<ϵ|f(x) - \sqrt{2}| < \epsilon whenever 0 < |x - 1| < \delta$.\n * **Example 1.12**: Prove \lim_{x \rightarrow 1} \sqrt{8 + x^2} = 3\n * Solve |\sqrt{8 + x^2} - 3| < \epsilon \iff 3 - \epsilon < \sqrt{8 + x^2} < 3 + \epsilon \iff 0 \le x^2 < \epsilon^2 + 6\epsilon + 1 \iff -\sqrt{\epsilon^2 + 6\epsilon + 1} < x < \sqrt{\epsilon^2 + 6\epsilon + 1}.\n * Subtract 1::-1 - \sqrt{\epsilon^2 + 6\epsilon + 1} < x - 1 < \sqrt{\epsilon^2 + 6\epsilon + 1} - 1$.

    • Choice: δ=ϵ2+6ϵ+1−1{\delta = \sqrt{\epsilon^2 + 6\epsilon + 1} - 1}. Then 0 < |x - 1| < \delta \implies |f(x) - 3| < \epsilon$.\n * **Example 1.13**: Prove \lim_{x \rightarrow 0} \frac{x^2 + 2}{x^2 + 1/2} = 4\n * Estimate: |f(x) - 4| = \left|\frac{x^2 + 2}{x^2 + 1/2} - 4\right| = \left|\frac{3x^2}{x^2 + 1/2}\right| < 3forallfor allx$.

    • If ϵ≥3\epsilon \ge 3, ∣f(x)−4∣<ϵ|f(x) - 4| < \epsilon holds for all xx.

    • If ϵ<3\epsilon < 3, \frac{3x^2}{x^2 + 1/2} < \epsilon \iff 3x^2 < \epsilon\left(x^2 + \frac{1}{2}\right) \iff x^2 < \frac{\epsilon}{2(3 - \epsilon)} \iff -\sqrt{\frac{\epsilon}{2(3 - \epsilon)}} < x < \sqrt{\frac{\epsilon}{2(3 - \epsilon)}}$.\n * General Choice: {\delta = \sqrt{\frac{\epsilon}{2|3 - \epsilon|}}}.\n * **Example 1.14**: Prove \lim_{x \rightarrow 2} \frac{1}{x} = \frac{1}{2}\n * Estimate: |f(x) - 1/2| = \left|\frac{1}{x} - \frac{1}{2}\right| = \frac{|x - 2|}{2|x|}.\n * Assuming \delta = 1,,0 < |x - 2| < 1 \implies 1 < x < 3 \implies \frac{1}{|x|} < 1 \implies \frac{|x - 2|}{2|x|} < \frac{|x - 2|}{2}.\n * Choice: {\delta = \min(1, 2\epsilon)}.Then. Then|f(x) - 1/2| < \frac{|x - 2|}{2} < \frac{2\epsilon}{2} = \epsilon$.

    • Example 1.15: Prove lim⁡x→0xsin⁡(1x)=0\lim_{x \rightarrow 0} x \sin\left(\frac{1}{x}\right) = 0

    • Estimate: ∣f(x)−0∣=∣xsin⁡(1x)∣≤∣x∣|f(x) - 0| = \left|x \sin\left(\frac{1}{x}\right)\right| \le |x| since ∣sin⁡(1x)∣≤1\left|\sin\left(\frac{1}{x}\right)\right| \le 1.

    • Choice: Choosing δ=ϵ\delta = \epsilon gives ∣f(x)−0∣<ϵ|f(x) - 0| < \epsilon whenever 0 < |x - 0| < \delta$.\n * **Example 1.16**: Prove \lim_{x \rightarrow 0} \sin\left(\frac{1}{x}\right) does not exist\n * Negation of limit definition: Show that for any candidate l,thereexistsan, there exists an\epsilon > 0suchthatforeverysuch that for every\delta > 0,thereexists, there existsx_1withwith0 < |x_1 - 0| < \deltabutbut|f(x_1) - l| \ge \epsilon$.

    • Case 1: ∣l∣≠0|l| \neq 0. Set ϵ=∣l∣2\epsilon = \frac{|l|}{2}. For any δ>0\delta > 0, choose integer nn large enough such that x1=1nπx_1 = \frac{1}{n\pi} satisfies 0<∣x1∣<δ0 < |x_1| < \delta. Then |\sin(n\pi) - l| = |l| > \frac{|l|}{2} = \epsilon$.\n * Case 2: |l| = 0.Set. Set\epsilon = \frac{1}{2}.Forany. For any\delta > 0,chooseinteger, choose integernlargeenoughsuchthatlarge enough such thatx_1 = \frac{1}{2n\pi + \pi/2}satisfiessatisfies0 < |x_1| < \delta.Then. Then|\sin(2n\pi + \pi/2) - 0| = 1 > \frac{1}{2} = \epsilon$.

    • Therefore, no real number ll can be the limit.

One-Sided Limits and Limit Theorems

  • Left-Hand Limit (L.H.L.):

    • f(x)f(x) tends to ll as x→a−x \rightarrow a^{-} if for each ϵ>0\epsilon > 0, there exists δ>0\delta > 0 such that ∣f(x)−l∣<ϵ|f(x) - l| < \epsilon whenever a−δ<x<aa - \delta < x < a.

    • Denoted by f(a−0)=lim⁡x→a−f(x)f(a - 0) = \lim_{x \rightarrow a^{-}} f(x).

    • Calculation method: Substitute x=a−hx = a - h (h>0h > 0) and evaluate lim⁡h→0+f(a−h)\lim_{h \rightarrow 0^{+}} f(a - h).

  • Right-Hand Limit (R.H.L.):

    • f(x)f(x) tends to ll as x→a+x \rightarrow a^{+} if for each ϵ>0\epsilon > 0, there exists δ>0\delta > 0 such that ∣f(x)−l∣<ϵ|f(x) - l| < \epsilon whenever a<x<a+δa < x < a + \delta.

    • Denoted by f(a+0)=lim⁡x→a+f(x)f(a + 0) = \lim_{x \rightarrow a^{+}} f(x).

    • Calculation method: Substitute x=a+hx = a + h (h>0h > 0) and evaluate lim⁡h→0+f(a+h)\lim_{h \rightarrow 0^{+}} f(a + h).

  • Existence of Limit at a Point:

    • lim⁡x→af(x)\lim_{x \rightarrow a} f(x) exists if and only if both L.H.L. and R.H.L. exist and are equal: f(a - 0) = f(a + 0) = l$.\n\n* **Examples**:\n * **Example 1.17**: Prove \lim_{x \rightarrow 0^{+}} \frac{2}{1 + e^{-1/x}} = 2\n * Estimate: \left|\frac{2}{1 + e^{-1/x}} - 2\right| = \left|\frac{-2e^{-1/x}}{1 + e^{-1/x}}\right| = \frac{2}{e^{1/x} + 1}.\n * For \epsilon \ge 1,any, any\delta > 0workssinceworks since\frac{2}{e^{1/x} + 1} < 1$.

    • For 0<ϵ<10 < \epsilon < 1: 2e1/x+1<ϵ  ⟺  e1/x>2ϵ−1  ⟺  1x>ln⁡(2ϵ−1)  ⟺  0<x<1ln⁡(2ϵ−1)\frac{2}{e^{1/x} + 1} < \epsilon \iff e^{1/x} > \frac{2}{\epsilon} - 1 \iff \frac{1}{x} > \ln\left(\frac{2}{\epsilon} - 1\right) \iff 0 < x < \frac{1}{\ln\left(\frac{2}{\epsilon} - 1\right)}.

    • Choice: δ=1ln⁡(2ϵ−1){\delta = \frac{1}{\ln\left(\frac{2}{\epsilon} - 1\right)}}.

    • Example 1.18: Show lim⁡x→1[x]\lim_{x \rightarrow 1} [x] does not exist ([x][x] is greatest integer function)

    • L.H.L.: lim⁡x→1−[x]=lim⁡h→0+[1−h]=0\lim_{x \rightarrow 1^{-}} [x] = \lim_{h \rightarrow 0^{+}} [1 - h] = 0

    • R.H.L.: lim⁡x→1+[x]=lim⁡h→0+[1+h]=1\lim_{x \rightarrow 1^{+}} [x] = \lim_{h \rightarrow 0^{+}} [1 + h] = 1

    • Since L.H.L. ≠\neq R.H.L., the limit does not exist.

    • Example 1.19: Evaluate lim⁡x→3([x]−[x3])\lim_{x \rightarrow 3} \left([x] - \left[\frac{x}{3}\right]\right)

    • Near x=3x = 3:

      • For 2<x<32 < x < 3: [x]=2[x] = 2, [x3]=0  ⟹  f(x)=2−0=2\left[\frac{x}{3}\right] = 0 \implies f(x) = 2 - 0 = 2

      • For 3≤x<43 \le x < 4: [x]=3[x] = 3, [x3]=1  ⟹  f(x)=3−1=2\left[\frac{x}{3}\right] = 1 \implies f(x) = 3 - 1 = 2

    • L.H.L. = 22, R.H.L. = 22. Thus, \lim_{x \rightarrow 3} f(x) = 2$.\n * **Example 1.20**: Show \lim_{x \rightarrow 1} \sin\left(\frac{1}{x - 1}\right) does not exist\n * L.H.L. = \lim_{h \rightarrow 0^{+}} \sin\left(\frac{1}{1 - h - 1}\right) = -\lim_{h \rightarrow 0^{+}} \sin\left(\frac{1}{h}\right).\n * As h \rightarrow 0^{+},,\sin\left(\frac{1}{h}\right)oscillatesfinitelybetweenoscillates finitely between-1andand1, failing to approach a unique value. L.H.L. and R.H.L. do not exist.\n\n* **Theorem 1.1 (Limit Laws)**:\n * Let f, g : [b, c] \rightarrow \mathbb{R}withwith\lim_{x \rightarrow a} f(x) = landand\lim_{x \rightarrow a} g(x) = m:\n 1. \lim_{x \rightarrow a} (f \pm g)(x) = l \pm m\n 2. \lim_{x \rightarrow a} (kf)(x) = klforanyfor anyk \in \mathbb{R}\n 3. \lim_{x \rightarrow a} (f \cdot g)(x) = l \cdot m\n 4. \lim_{x \rightarrow a} \left(\frac{f}{g}\right)(x) = \frac{l}{m}providedprovidedg(x) eq 0ininN_a^{*}(\delta)andandm eq 0\n 5. \lim_{x \rightarrow a} [f(x)]^n = l^n((n \in \mathbb{Z}^+)\n 6. \lim_{x \rightarrow a} \sqrt[n]{f(x)} = \sqrt[n]{l} = l^{1/n}((n \in \mathbb{Z}^+)\n\n\n# Infinite Limits\n\n* **Formal Definitions**:\n * \lim_{x \rightarrow a} f(x) = \infty:Forany: For anyG > 0,thereexists, there exists\delta > 0suchthatsuch thatf(x) > Gwheneverwhenever0 < |x - a| < \delta.\n * \lim_{x \rightarrow a^{+}} f(x) = \infty:Forany: For anyG > 0,thereexists, there exists\delta > 0suchthatsuch thatf(x) > Gwheneverwhenevera < x < a + \delta.\n * \lim_{x \rightarrow a^{-}} f(x) = \infty:Forany: For anyG > 0,thereexists, there exists\delta > 0suchthatsuch thatf(x) > Gwheneverwhenevera - \delta < x < a.\n * \lim_{x \rightarrow a} f(x) = -\infty:Forany: For anyG > 0,thereexists, there exists\delta > 0suchthatsuch thatf(x) < -Gwheneverwhenever0 < |x - a| < \delta.\n\n* **Examples**:\n * **Example 1.21**: Prove \lim_{x \rightarrow 0} \frac{1}{x} does not exist\n * Right limit: For G > 0,set, set\delta = \frac{1}{G}..0 < x < \delta \implies \frac{1}{x} > G \implies \lim_{x \rightarrow 0^{+}} \frac{1}{x} = \infty$.

    • Left limit: For G>0G > 0, set δ=1G\delta = \frac{1}{G}. -\delta < x < 0 \implies \frac{1}{x} < -G \implies \lim_{x \rightarrow 0^{-}} \frac{1}{x} = -\infty$.\n * Since L.H.L. eq R.H.L., the limit does not exist.\n * **Example 1.22**: Prove \lim_{x \rightarrow 0} \frac{1}{x^2} = \infty\n * For G > 0,,f(x) > G \iff \frac{1}{x^2} > G \iff x^2 < \frac{1}{G} \iff -\frac{1}{\sqrt{G}} < x < \frac{1}{\sqrt{G}}.\n * Choose {\delta = \frac{1}{\sqrt{G}}}.Then. Then0 < |x - 0| < \delta \implies f(x) > G$.

    • Example 1.23: Prove lim⁡x→0log⁡∣x∣=−∞\lim_{x \rightarrow 0} \log|x| = -\infty

    • For G>0G > 0, f(x)<−G  ⟺  log⁡∣x∣<−G  ⟺  ∣x∣<exp⁡(−G)f(x) < -G \iff \log|x| < -G \iff |x| < \exp(-G).

    • Choose δ=exp⁡(−G){\delta = \exp(-G)}. Then 0 < |x - 0| < \delta \implies f(x) < -G$.\n * **Example 1.24**: Prove \lim_{x \rightarrow 1} f(x) = -\infty where:\n    f(x) = \begin{cases} \frac{1}{x - 1}, & x < 1 \ \log(x - 1), & x > 1 \end{cases}\n * For x < 1::\frac{1}{x - 1} < -G \iff x - 1 > -\frac{1}{G} \iff 0 < 1 - x < \frac{1}{G} \iff 0 < |x - 1| < \frac{1}{G}.\n * For x > 1::\log(x - 1) < -G \iff x - 1 < e^{-G} \iff 0 < |x - 1| < e^{-G}.\n * Choose {\delta = \min\left(\frac{1}{G}, e^{-G}\right)}.Then. Then0 < |x - 1| < \delta \implies f(x) < -G$.

  • Practice Problems:

    1. Find δ\delta such that 0<∣x−2∣<δ  ⟹  ∣2x3+x2−8x−4x−2−20∣<1100 < |x - 2| < \delta \implies \left|\frac{2x^3 + x^2 - 8x - 4}{x - 2} - 20\right| < \frac{1}{10}.

    2. Show lim⁡x→3x1+2x=37\lim_{x \rightarrow 3} \frac{\sqrt{x}}{1 + 2x} = \frac{\sqrt{3}}{7} using ϵ−δ\epsilon - \delta.

    3. Show lim⁡x→12x4−6x3+x2+3x−1=−8\lim_{x \rightarrow 1} \frac{2x^4 - 6x^3 + x^2 + 3}{x - 1} = -8 using ϵ−δ\epsilon - \delta.

    4. For f(x)=x+1f(x) = x + 1 (x>0x > 0), 00 (x=0x = 0), x−1x - 1 (x<0x < 0), show lim⁡x→0f(x)\lim_{x \rightarrow 0} f(x) does not exist but one-sided limits exist.

    5. Show lim⁡x→a1(x−a)n=∞\lim_{x \rightarrow a} \frac{1}{(x - a)^n} = \infty for even natural nn, and does not exist for odd natural nn

    6. Show lim⁡x→121x−1\lim_{x \rightarrow 1} 2^{\frac{1}{x - 1}} does not exist.

Continuity and Discontinuity

  • Definition of Continuity:

    • A function f(x)f(x) is continuous at x=ax = a if for any ϵ>0\epsilon > 0, there exists δ>0\delta > 0 such that:     ∣f(x)−f(a)∣<ϵwhenever∣x−a∣<δ|f(x) - f(a)| < \epsilon \quad \text{whenever} \quad |x - a| < \delta

    • Equivalently: lim⁡x→af(x)=f(a)\lim_{x \rightarrow a} f(x) = f(a).

    • Three formal conditions:

    1. f(a)f(a) is defined.

    2. lim⁡x→af(x)\lim_{x \rightarrow a} f(x) exists.

    3. lim⁡x→af(x)=f(a)\lim_{x \rightarrow a} f(x) = f(a).

  • One-Sided Continuity & Interval Continuity:

    • Continuous from left at aa: lim⁡x→a−f(x)=f(a)\lim_{x \rightarrow a^{-}} f(x) = f(a).

    • Continuous from right at aa: lim⁡x→a+f(x)=f(a)\lim_{x \rightarrow a^{+}} f(x) = f(a).

    • Continuity on endpoint of [a,b][a, b]: Right-continuous at aa (lim⁡x→a+f(x)=f(a)\lim_{x \rightarrow a^{+}} f(x) = f(a)), left-continuous at bb (lim⁡x→b−f(x)=f(b)\lim_{x \rightarrow b^{-}} f(x) = f(b)).

    • Continuous on interval [a,b][a, b]: Continuous at every point in [a,b][a, b].

  • Examples of Continuity Proofs:

    • Example 2.1: Prove f(x)=sin⁡(x)f(x) = \sin(x) is continuous at x=0x = 0

    • ∣f(x)−f(0)∣=∣sin⁡(x)−0∣=∣sin⁡(x)∣≤∣x∣=∣x−0∣|f(x) - f(0)| = |\sin(x) - 0| = |\sin(x)| \le |x| = |x - 0|.

    • Choose δ=ϵ\delta = \epsilon. Then |x - 0| < \delta \implies |f(x) - f(0)| < \epsilon$.\n * **Example 2.2**: Prove f(x) = e^xiscontinuousatis continuous atx = 0\n * Solve |e^x - 1| < \epsilon \iff 1 - \epsilon < e^x < 1 + \epsilon \implies -\log(1 + \epsilon) < x < \log(1 + \epsilon).\n * Choose {\delta = \log(1 + \epsilon)}.\n * **Example 2.3**: Prove f(x) = \log(x)iscontinuousatis continuous atx = 2\n * Estimate: |\log(x) - \log(2)| = \left|\log\left(\frac{x}{2}\right)\right| = \left|\log\left(\frac{x - 2}{2} + 1\right)\right| \le \left|\frac{x - 2}{2}\right|(assuming(assuming\delta < 1).\n * Choose {\delta = \min(1, 2\epsilon)}.Then. Then|\log(x) - \log(2)| \le \frac{|x - 2|}{2} < \epsilon$.

    • Example 2.4: Prove continuity at x=1/2x = 1/2 for f(x)=xf(x) = x (rational) and 1−x1 - x (irrational)

    • ∣f(x)−f(1/2)∣=∣x−12∣|f(x) - f(1/2)| = \left|x - \frac{1}{2}\right| if rational, and ∣(1−x)−12∣=∣12−x∣=∣x−12∣\left|(1 - x) - \frac{1}{2}\right| = \left|\frac{1}{2} - x\right| = \left|x - \frac{1}{2}\right| if irrational.

    • Thus for all xx, ∣f(x)−f(1/2)∣=∣x−1/2∣|f(x) - f(1/2)| = |x - 1/2|. Choose \delta = \epsilon$.\n * **Example 2.5**: Prove f(x) = x^2iscontinuousonis continuous on\mathbb{R}\n * Fix a \in \mathbb{R}..|x^2 - a^2| = |x + a||x - a| \le (|x| + |a|)|x - a|.\n * Assuming \delta = 1,,|x| < 1 + |a| \implies |x^2 - a^2| < (1 + 2|a|)|x - a|$.

    • Choose δ=min⁡(1,ϵ1+2∣a∣){\delta = \min\left(1, \frac{\epsilon}{1 + 2|a|}\right)}.

  • Types of Discontinuities:

    • Removable Discontinuity: lim⁡x→af(x)\lim_{x \rightarrow a} f(x) exists, but lim⁡x→af(x)≠f(a)\lim_{x \rightarrow a} f(x) \neq f(a).     

      Removable Discontinuity
    • Jump Discontinuity (First Kind): Both lim⁡x→a−f(x)\lim_{x \rightarrow a^{-}} f(x) and lim⁡x→a+f(x)\lim_{x \rightarrow a^{+}} f(x) exist, but are not equal.     

      Jump Discontinuity
    • Oscillatory Discontinuity (Second Kind): Neither one-sided limit exists.     

      Oscillatory Discontinuity
    • Infinite Discontinuity: lim⁡x→af(x)=∞\lim_{x \rightarrow a} f(x) = \infty or −∞-\infty.     

      Infinite Discontinuity

          

      Infinite Discontinuity negative
  • Discontinuity Examples:

    • Example 2.6: f(x)=sin⁡(2x)xf(x) = \frac{\sin(2x)}{x} (x≠0x \neq 0), 55 (x=0x = 0). lim⁡x→0f(x)=2≠5  ⟹  \lim_{x \rightarrow 0} f(x) = 2 \neq 5 \implies Removable discontinuity.

    • Example 2.7: f(x)=x2−4x−2f(x) = \frac{x^2 - 4}{x - 2} (x≠2x \neq 2), 1010 (x=2x = 2). lim⁡x→2f(x)=4≠10  ⟹  \lim_{x \rightarrow 2} f(x) = 4 \neq 10 \implies Removable discontinuity.

    • Example 2.8: f(x)=[x]f(x) = [x] at x=1x = 1. L.H.L. = 00, R.H.L. = 1  ⟹  1 \implies Jump discontinuity.

    • Example 2.9: f(x)=x−∣x∣xf(x) = \frac{x - |x|}{x} (x≠0x \neq 0), 22 (x=0x = 0). L.H.L. = 22, R.H.L. = 00, f(0)=2  ⟹  f(0) = 2 \implies Right jump discontinuity at x = 0$.\n * **Example 2.10**: f(x) = x - [x]atatx = 3.L.H.L.=. L.H.L. =1,R.H.L.=, R.H.L. =0,,f(3) = 0 \implies Left jump discontinuity.\n * **Example 2.11**: f(x) = \sin\left(\frac{1}{x}\right)atatx = 0 \implies Oscillatory discontinuity.\n * **Example 2.12**: f(x) = \frac{1}{x^2}atatx = 0 \implies Infinite discontinuity.\n\n* **Theorem 2.1 (Algebra of Continuous Functions)**:\n * If f, garecontinuousatare continuous atx = a,then, thenf \pm g,,kf,,f \cdot g,,f/g((g(a) eq 0),),f^n,and, and\sqrt[n]{f}arecontinuousatare continuous atx = a\n\n\n# Composition of Continuous Functions\n\n* **Theorem**:\n * If fiscontinuousatis continuous ataandandgiscontinuousatis continuous atf(a),thenthecompositefunction, then the composite function(g \circ f)(x) = g(f(x))iscontinuousatis continuous ata\n\n* **Examples**:\n * **Example 2.13(a)**: h_1(x) = \sqrt{x^2 - 2x - 5}\n * Polynomial f(x) = x^2 - 2x - 5 is everywhere continuous.\n * Square root g(x) = \sqrt{x}iscontinuousonis continuous on[0, \infty).\n * Composite (g \circ f)(x) = \sqrt{x^2 - 2x - 5}iscontinuousonitsdomainwhereis continuous on its domain wherex^2 - 2x - 5 \ge 0$.

    • Example 2.13(b): h2(x)=sin⁡(x2)h_2(x) = \sin(x^2)

    • Polynomial f(x)=x2f(x) = x^2 and trigonometric function g(x)=sin⁡(x)g(x) = \sin(x) are everywhere continuous.

    • Composite (g∘f)(x)=sin⁡(x2)(g \circ f)(x) = \sin(x^2) is everywhere continuous.

  • Exercise Problems:

    1. Prove continuity of: (a) ∣x∣|x| over R\mathbb{R}, (b) sin⁡(x),cos⁡(x)\sin(x), \cos(x) over R\mathbb{R}, (c) xnx^n on R\mathbb{R} (n∈Qn \in \mathbb{Q}), (d) exe^x over R\mathbb{R}, (e) tan⁡(x)\tan(x) over (−π2,π2)\left(-\frac{\pi}{2}, \frac{\pi}{2}\right), (f) log⁡(x)\log(x) over (0,∞)(0, \infty).

    2. Show continuity everywhere on domain for: (a) h3(x)=x2/31+x4h_3(x) = \frac{x^{2/3}}{1 + x^4}, (b) h4(x)=∣x−2x2−2∣h_4(x) = \left|\frac{x - 2}{x^2 - 2}\right|, (c) h5(x)=∣xsin⁡(x)x2+2∣h_5(x) = \left|\frac{x \sin(x)}{x^2 + 2}\right|.

Differentiability and Derivative Rules

  • Definition of Differentiability:

    • A function f(x)f(x) is differentiable at x=ax = a if the limit exists finitely:     f′(a)=lim⁡x→af(x)−f(a)x−af'(a) = \lim_{x \rightarrow a} \frac{f(x) - f(a)}{x - a}

  • Differentiability Proof Examples:

    • Example 3.1: Constant function f(x)=kf(x) = k

    • f(x)−f(a)x−a=k−kx−a=0\frac{f(x) - f(a)}{x - a} = \frac{k - k}{x - a} = 0. ∣0−0∣<ϵ\left|0 - 0\right| < \epsilon for any δ>0\delta > 0. Derivative f'(a) = 0$.\n * **Example 3.2**: f(x) = x^2\n * \frac{x^2 - a^2}{x - a} = x + a..\left|(x + a) - 2a\right| = |x - a| < \epsilonbychoosingby choosing\delta = \epsilon.Derivative. Derivativef'(a) = 2a$.

    • Example 3.3: f(x)=sin⁡(x)f(x) = \sin(x)

    • sin⁡(x)−sin⁡(a)x−a−cos⁡(a)=sin⁡(x−a2)cos⁡(x+a2)x−a2−cos⁡(a)\frac{\sin(x) - \sin(a)}{x - a} - \cos(a) = \frac{\sin\left(\frac{x-a}{2}\right) \cos\left(\frac{x+a}{2}\right)}{\frac{x-a}{2}} - \cos(a).

    • Bound estimate gives ≤∣x−a2∣\le \left|\frac{x - a}{2}\right|. Choosing δ=2ϵ\delta = 2\epsilon proves f'(a) = \cos(a)$.\n * **Example 3.4**: f(x) = \sqrt{x}atatx = 3\n * \frac{\sqrt{x} - \sqrt{3}}{x - 3} = \frac{1}{\sqrt{x} + \sqrt{3}}.\n * \left|\frac{1}{\sqrt{x} + \sqrt{3}} - \frac{1}{2\sqrt{3}}\right| = \frac{|x - 3|}{2\sqrt{3}(\sqrt{x} + \sqrt{3})^2} < \frac{|x - 3|}{6\sqrt{3}}.\n * Choosing {\delta = 6\sqrt{3}\epsilon}yieldsderivativeyields derivativef'(3) = \frac{1}{2\sqrt{3}}.\n\n* **Theorem 3.1 (Algebra of Derivatives)**:\n * (f \pm g)'(a) = f'(a) \pm g'(a)\n * (kf)'(a) = k f'(a)\n * (f \cdot g)'(a) = g(a)f'(a) + f(a)g'(a)\n * \left(\frac{f}{g}\right)'(a) = \frac{g(a)f'(a) - f(a)g'(a)}{[g(a)]^2}(where(whereg(a) eq 0)\n\n\n# Successive Differentiation and Leibnitz's Theorem\n\n* **Higher-Order Derivatives**:\n * f^{(n)}(x)orory_noror\frac{d^n y}{dx^n}denotesthedenotes then−thderivativeof-th derivative ofy = f(x).\n\n* **Worked Examples**:\n * **Example 3.5**: If y = e^{ax} \sin(bx),prove, provey_2 - 2ay_1 + (a^2 + b^2)y = 0\n * y_1 = a e^{ax} \sin(bx) + b e^{ax} \cos(bx) = a y + b e^{ax} \cos(bx)\n * y_1 - ay = b e^{ax} \cos(bx)\n * Differentiating again: y_2 - ay_1 = ab e^{ax} \cos(bx) - b^2 e^{ax} \sin(bx) = a(y_1 - ay) - b^2 y\n * Rearranging gives y_2 - 2ay_1 + (a^2 + b^2)y = 0$.

    • Example 3.6: If y=1x2−a2y = \frac{1}{x^2 - a^2}, find yny_n and yn(0)y_n(0)

    • Partial fractions: y=12a(1x−a−1x+a)y = \frac{1}{2a}\left(\frac{1}{x - a} - \frac{1}{x + a}\right)

    • yn=(−1)nn!2a[1(x−a)n+1−1(x+a)n+1]y_n = \frac{(-1)^n n!}{2a}\left[\frac{1}{(x - a)^{n+1}} - \frac{1}{(x + a)^{n+1}}\right]

    • Evaluating at x=0x = 0:       yn(0)={(−1)n+1n!an+2,if n is even0,if n is oddy_n(0) = \begin{cases} \frac{(-1)^{n+1} n!}{a^{n+2}}, & \text{if } n \text{ is even} \\ 0, & \text{if } n \text{ is odd} \end{cases}

    • Example 3.7: If y=xlog⁡(x−1x+1)y = x \log\left(\frac{x - 1}{x + 1}\right), prove yn=(−1)n−2(n−2)![x−n(x−1)n−x+n(x+1)n]y_n = (-1)^{n-2}(n-2)! \left[\frac{x - n}{(x - 1)^n} - \frac{x + n}{(x + 1)^n}\right] for n≥2n \ge 2, and find yn(0)y_n(0)

    • y1=log⁡(x−1)−log⁡(x+1)+1x−1+1x+1y_1 = \log(x - 1) - \log(x + 1) + \frac{1}{x - 1} + \frac{1}{x + 1}

    • Differentiating (n−1)(n-1) times yields the required yny_n expression.

    • Evaluating at x=0x = 0:       yn(0)={(−1)n−12n(n−2)!,if n is even0,if n is oddy_n(0) = \begin{cases} (-1)^{n-1} 2n (n - 2)!, & \text{if } n \text{ is even} \\ 0, & \text{if } n \text{ is odd} \end{cases}

  • Theorem 3.2 (Leibnitz's Theorem):

    • For product of two functions (f⋅g)n(x)=∑i=0n(ni)fi(x)gn−i(x)(f \cdot g)_n(x) = \sum_{i=0}^{n} \binom{n}{i} f_i(x) g_{n-i}(x)

  • Leibnitz's Theorem Applications:

    • Example 3.8: If y=(arcsin⁡(x))2y = (\arcsin(x))^2, prove (1−x2)yn+2−(2n+1)xyn+1−n2yn=0(1 - x^2)y_{n+2} - (2n + 1)x y_{n+1} - n^2 y_n = 0 for n≥1n \ge 1, and evaluate yn(0)y_n(0)

    • y1=2arcsin⁡(x)1−x2  ⟹  (1−x2)y12=4yy_1 = \frac{2\arcsin(x)}{\sqrt{1 - x^2}} \implies (1 - x^2)y_1^2 = 4y

    • Differentiating: (1−x2)2y1y2−2xy12=4y1  ⟹  (1−x2)y2−xy1=2(1 - x^2)2y_1 y_2 - 2x y_1^2 = 4y_1 \implies (1 - x^2)y_2 - x y_1 = 2

    • Applying Leibnitz's theorem nn times:       (1−x2)yn+2+n(−2x)yn+1+n(n−1)2(−2)yn−xyn+1−nyn=0(1 - x^2)y_{n+2} + n(-2x)y_{n+1} + \frac{n(n-1)}{2}(-2)y_n - x y_{n+1} - n y_n = 0       (1−x2)yn+2−(2n+1)xyn+1−n2yn=0(1 - x^2)y_{n+2} - (2n + 1)x y_{n+1} - n^2 y_n = 0

    • At x=0x = 0: yn+2(0)=n2yn(0)y_{n+2}(0) = n^2 y_n(0).

    • Initial values: y(0)=0y(0) = 0, y1(0)=0y_1(0) = 0, y2(0)=2y_2(0) = 2

    • Results:

      • If nn is odd: yn(0)=0y_n(0) = 0

      • If nn is even (n>2n > 2): yn(0)=(n−2)2(n−4)2⋯62⋅42⋅22⋅2y_n(0) = (n - 2)^2 (n - 4)^2 \cdots 6^2 \cdot 4^2 \cdot 2^2 \cdot 2

    • Example 3.9: If y1/m+y−1/m=2xy^{1/m} + y^{-1/m} = 2x, prove (x2−1)yn+2+(2n+1)xyn+1+(n2−m2)yn=0(x^2 - 1)y_{n+2} + (2n + 1)x y_{n+1} + (n^2 - m^2)y_n = 0

    • Quadratic in y1/my^{1/m}: (y1/m)2−2xy1/m+1=0  ⟹  y=[x±x2−1]m(y^{1/m})^2 - 2x y^{1/m} + 1 = 0 \implies y = \left[x \pm \sqrt{x^2 - 1}\right]^m

    • Logarithmic differentiation: log⁡(y)=mlog⁡[x±x2−1]  ⟹  y1x2−1=±my\log(y) = m \log\left[x \pm \sqrt{x^2 - 1}\right] \implies y_1\sqrt{x^2 - 1} = \pm m y

    • Square and differentiate: (x2−1)y12=m2y2  ⟹  (x2−1)y2+xy1=m2y(x^2 - 1)y_1^2 = m^2 y^2 \implies (x^2 - 1)y_2 + x y_1 = m^2 y

    • Apply Leibnitz's theorem nn times: (x^2 - 1)y_{n+2} + (2n + 1)x y_{n+1} + (n^2 - m^2)y_n = 0$.\n\n\n# Rolle's Theorem and Mean Value Theorems\n\n* **Theorem 4.1 (Rolle's Theorem)**:\n * Let f : [a, b] \rightarrow \mathbb{R}becontinuousonbe continuous on[a, b]anddifferentiableonand differentiable on(a, b).If. Iff(a) = f(b),thenthereexists, then there existsc \in (a, b)suchthatsuch thatf'(c) = 0$.   

      Geometric interpretation for Rolle's Theorem
    • Example 4.1: Verify Rolle's theorem for f(x)=2x3+x2−4x−2f(x) = 2x^3 + x^2 - 4x - 2

    • Roots of f(x)=0f(x) = 0: (x2−2)(2x+1)=0  ⟹  x=−1/2,±2(x^2 - 2)(2x + 1) = 0 \implies x = -1/2, \pm\sqrt{2}.

    • Choose interval [−2,2][-\sqrt{2}, \sqrt{2}]. f(−2)=f(2)=0f(-\sqrt{2}) = f(\sqrt{2}) = 0.

    • f′(c)=6c2+2c−4=0  ⟹  (3c−2)(c+1)=0  ⟹  c=2/3,−1f'(c) = 6c^2 + 2c - 4 = 0 \implies (3c - 2)(c + 1) = 0 \implies c = 2/3, -1.

    • Both c=2/3c = 2/3 and c=−1c = -1 lie within (−2,2)(-\sqrt{2}, \sqrt{2}).

    • Example 4.2: Prove that between any real roots of polynomial p(x)=0p(x) = 0 (degree >1> 1), there is a real root of p′(x)+kp(x)=0p'(x) + k p(x) = 0

    • Set f(x)=ekxp(x)f(x) = e^{kx} p(x). Let α<β\alpha < \beta be real roots of p(x)p(x).

    • f(α)=ekαp(α)=0=ekβp(β)=f(β)f(\alpha) = e^{k\alpha} p(\alpha) = 0 = e^{k\beta} p(\beta) = f(\beta).

    • By Rolle's theorem on [α,β][\alpha, \beta], f′(c)=0  ⟹  ekcp′(c)+kekcp(c)=0  ⟹  p′(c)+kp(c)=0f'(c) = 0 \implies e^{kc} p'(c) + k e^{kc} p(c) = 0 \implies p'(c) + k p(c) = 0 (ekc≠0e^{kc} \neq 0).

  • Theorem 4.2 (Lagrange's Mean Value Theorem):

    • Let f:[a,b]→Rf : [a, b] \rightarrow \mathbb{R} be continuous on [a,b][a, b] and differentiable on (a,b)(a, b). Then there exists c∈(a,b)c \in (a, b) such that:     f(b)−f(a)b−a=f′(c)\frac{f(b) - f(a)}{b - a} = f'(c)   

      Geometric interpretation for Lagrange Mean Value Theorem
    • Example 4.3: Prove b−a1+b2<arctan⁡(b)−arctan⁡(a)<b−a1+a2\frac{b - a}{1 + b^2} < \arctan(b) - \arctan(a) < \frac{b - a}{1 + a^2} for 0<a<b<10 < a < b < 1

    • Let f(x)=arctan⁡(x)f(x) = \arctan(x) on [a,b][a, b]. LMV'T gives arctan⁡(b)−arctan⁡(a)b−a=11+c2\frac{\arctan(b) - \arctan(a)}{b - a} = \frac{1}{1 + c^2} for a < c < b$.\n * Since a < c < b \implies 1 + a^2 < 1 + c^2 < 1 + b^2 \implies \frac{1}{1 + b^2} < \frac{1}{1 + c^2} < \frac{1}{1 + a^2}.\n * Multiplying by b - a yields the inequality.\n\n* **Theorem 4.3 (Cauchy's Mean Value Theorem)**:\n * Let f, g : [a, b] \rightarrow \mathbb{R}becontinuousonbe continuous on[a, b]anddifferentiableonand differentiable on(a, b).If. Ifg'(x) eq 0,thenthereexists, then there existsc \in (a, b) such that:\n    \frac{f(b) - f(a)}{g(b) - g(a)} = \frac{f'(c)}{g'(c)}\n  ![Geometric interpretation for Cauchy Mean Value Theorem](https://assets.knowt.com/pdf-flow-prod/1e476c49-4d40-4c3e-a59e-6d1abeea929b-figures/3.jpg)\n * **Example 4.4**: Prove that cisthearithmeticmeanofis the arithmetic mean ofaandandbforforf(x) = e^x, g(x) = e^{-x}onon[a, b]\n * \frac{e^b - e^a}{e^{-b} - e^{-a}} = \frac{e^c}{-e^{-c}} \implies \frac{e^b(1 - e^{a-b})}{e^{-a}(e^{a-b} - 1)} = -e^{2c} \implies e^{a+b} = e^{2c} \implies c = \frac{a + b}{2}.\n\n\n# Taylor's Theorem and Infinite Series Expansions\n\n* **Theorem 4.4 & 4.5 (Taylor's Theorem with Lagrange's Remainder)**:\n * If f(x)hascontinuousderivativesuptohas continuous derivatives up ton−thorderininterval-th order in intervalIcontainingcontaininga:\n    f(x) = f(a) + (x - a)f'(a) + \frac{(x - a)^2}{2!} f''(a) + \cdots + \frac{(x - a)^{n-1}}{(n - 1)!} f^{(n-1)}(a) + R_n(x)\n    where R_n(x) = \frac{(x - a)^n}{n!} f^{(n)}(c)forfora < c < x$.

    • Alternative form (h=x−ah = x - a, c=a+θhc = a + \theta h, 0<θ<10 < \theta < 1):     f(a+h)=f(a)+hf′(a)+h22!f′′(a)+⋯+hn−1(n−1)!f(n−1)(a)+hnn!f(n)(a+θh)f(a + h) = f(a) + h f'(a) + \frac{h^2}{2!} f''(a) + \cdots + \frac{h^{n-1}}{(n - 1)!} f^{(n-1)}(a) + \frac{h^n}{n!} f^{(n)}(a + \theta h)

  • Applications of Taylor's Remainder:

    • Example 4.5: Prove x1+x<log⁡(1+x)<x\frac{x}{1 + x} < \log(1 + x) < x for x>0x > 0

    • Apply Taylor's theorem to f(x)=log⁡(1+x)f(x) = \log(1 + x) on [0,x0][0, x_0]: log⁡(1+x0)=0+x0(11+θx0)\log(1 + x_0) = 0 + x_0 \left(\frac{1}{1 + \theta x_0}\right).

    • Since 0 < \theta < 1 \implies 1 < 1 + \theta x_0 < 1 + x_0 \implies \frac{x_0}{1 + x_0} < \frac{x_0}{1 + \theta x_0} < x_0$.\n * **Example 4.6**: Prove 0 < \frac{1}{x} \log\left(\frac{e^x - 1}{x}\right) < 1forforx > 0\n * Apply Taylor's theorem to f(x) = e^xonon[0, x_0]::e^{x_0} = 1 + x_0 e^{\theta x_0} \implies \frac{e^{x_0} - 1}{x_0} = e^{\theta x_0} \implies \frac{1}{x_0} \log\left(\frac{e^{x_0} - 1}{x_0}\right) = \theta$.

    • Since 0<θ<10 < \theta < 1, the inequality holds.

    • Example 4.7: Prove x−x36≤sin⁡(x)≤x−x36+x5120x - \frac{x^3}{6} \le \sin(x) \le x - \frac{x^3}{6} + \frac{x^5}{120} for x>0x > 0

    • Taylor expansion of sin⁡(x)\sin(x) with remainder after 3 terms: sin⁡(x)=x−x33!cos⁡(θx)\sin(x) = x - \frac{x^3}{3!} \cos(\theta x). Since \cos(\theta x) \le 1 \implies \sin(x) \ge x - \frac{x^3}{6}$.\n * With remainder after 5 terms: \sin(x) = x - \frac{x^3}{3!} + \frac{x^5}{5!} \cos(\theta_1 x) \le x - \frac{x^3}{6} + \frac{x^5}{120}$.

  • Theorem 4.6 & 4.7 (Taylor's and Maclaurin's Infinite Series):

    • As n→∞n \rightarrow \infty, if Rn(x)→0R_n(x) \rightarrow 0:

    • Taylor Infinite Series at x=ax = a:     f(x)=∑n=0∞(x−a)nn!f(n)(a)f(x) = \sum_{n=0}^{\infty} \frac{(x - a)^n}{n!} f^{(n)}(a)

    • Maclaurin Infinite Series (at x=0x = 0):     f(x)=∑n=0∞xnn!f(n)(0)f(x) = \sum_{n=0}^{\infty} \frac{x^n}{n!} f^{(n)}(0)

  • Worked Example & Standard Maclaurin Expansions:

    • Example 4.8: Expand esin⁡(x)e^{\sin(x)} at π2\frac{\pi}{2} up to fifth derivative

    • f(π/2)=ef(\pi/2) = e, f′(π/2)=0f'(\pi/2) = 0, f′′(π/2)=−ef''(\pi/2) = -e, f′′′(π/2)=0f'''(\pi/2) = 0, f(4)(π/2)=4ef^{(4)}(\pi/2) = 4e, f^{(5)}(\pi/2) = 0$.\n * e^{\sin(x)} = e - \frac{e}{2!}\left(x - \frac{\pi}{2}\right)^2 + \frac{4e}{4!}\left(x - \frac{\pi}{2}\right)^4 + \cdots\n * **Standard Maclaurin Expansions**:\n 1. \frac{1}{1 - x} = 1 + x + x^2 + x^3 + \cdots((|x| < 1)\n 2. \frac{1}{1 + x} = 1 - x + x^2 - x^3 + \cdots((|x| < 1)\n 3. \log(1 + x) = x - \frac{x^2}{2} + \frac{x^3}{3} - \cdots\n 4. \sin(x) = x - \frac{x^3}{3!} + \frac{x^5}{5!} - \cdots\n 5. \cos(x) = 1 - \frac{x^2}{2!} + \frac{x^4}{4!} - \cdots\n 6. \tan(x) = x + \frac{x^3}{3} + \frac{2x^5}{15} + \cdots((|x| < \frac{\pi}{2})\n 7. \sec(x) = 1 + \frac{x^2}{2!} + \frac{5x^4}{4!} + \cdots\n 8. e^x \cos(x) = 1 + x - \frac{2x^3}{3!} - \frac{2^2 x^4}{4!} + \cdots\n 9. \arcsin(x) = x + \frac{x^3}{6} + \frac{3x^5}{40} + \cdots((|x| < 1)\n 10. \arccos(x) = \frac{\pi}{2} - x - \frac{x^3}{6} - \frac{3x^5}{40} - \cdots((|x| < 1)\n 11. \arctan(x) = x - \frac{x^3}{3} + \frac{x^5}{5} - \cdots((|x| < 1)\n 12. e^x = 1 + x + \frac{x^2}{2!} + \frac{x^3}{3!} + \cdots\n 13. \sinh(x) = x + \frac{x^3}{3!} + \frac{x^5}{5!} + \cdots\n 14. \cosh(x) = 1 + \frac{x^2}{2!} + \frac{x^4}{4!} + \cdots\n 15. \tanh(x) = x - \frac{x^3}{3} + \frac{2x^5}{15} - \frac{17x^7}{315} + \cdots\n\n\n# Asymptotes of Plane Curves\n\n* **Limits Involving Infinity**:\n * \lim_{x \rightarrow \infty} f(x) = Lifforeveryif for every\epsilon > 0,thereexists, there existsMsuchthatsuch thatx > M \implies |f(x) - L| < \epsilon$.

    • lim⁡x→−∞f(x)=L\lim_{x \rightarrow -\infty} f(x) = L if for every ϵ>0\epsilon > 0, there exists NN such that x < N \implies |f(x) - L| < \epsilon$.\n * **Example 5.1**: \lim_{x \rightarrow \infty} \frac{1}{x} = 0((M = \frac{1}{\epsilon}),),\lim_{x \rightarrow -\infty} \frac{1}{x} = 0((N = -\frac{1}{\epsilon}).\n\n* **Asymptotes for Explicit Curves y = f(x)**:\n * **Vertical Asymptote**: Line x = aifif\lim_{x \rightarrow a^{+}} f(x) = \pm\inftyoror\lim_{x \rightarrow a^{-}} f(x) = \pm\infty.\n * For f(x) = \frac{p(x)}{q(x)},verticalasymptotesoccuratrootsof, vertical asymptotes occur at roots ofq(x) = 0.\n * Odd order root: Curve approaches opposite ends on either side.\n * Even order root: Curve approaches same end on either side.\n * **Horizontal Asymptote**: Line y = bifif\lim_{x \rightarrow \infty} f(x) = boror\lim_{x \rightarrow -\infty} f(x) = b$.

    • Oblique / Inclined Asymptote: Line y=mx+cy = mx + c (m≠0m \neq 0) if \lim_{x \rightarrow \pm\infty} [f(x) - (mx + c)] = 0$.\n * Slopes and intercepts: m = \lim_{x \rightarrow \pm\infty} \frac{f(x)}{x},,c = \lim_{x \rightarrow \pm\infty} [f(x) - mx]$.

  • Asymptotes for Implicit Curves f(x,y)=0f(x, y) = 0:

    • Curve equation: a_0 x^n + (a_1 x^{n-1}y + b_1 x^{n-1}) + \cdots = 0 \implies x^n \xi_n(y) + x^{n-1} \xi_{n-1}(y) + \cdots = 0$.\n * **Parallel to X-axis**: Equate the coefficient of the highest degree term in xtozero(to zero (\xi_n(y) = 0).\n * **Parallel to Y-axis**: Equate the coefficient of the highest degree term in y to zero.\n * **Oblique Asymptotes (y = mx + c)**:\n * Substitute x = 1,,y = mintodegreeinto degreertermstoformterms to form\phi_r(m).\n * Solve \phi_n(m) = 0tofindvaluesofto find values ofm$.

    • For distinct mm: c=−ϕn−1(m)ϕn′(m)c = -\frac{\phi_{n-1}(m)}{\phi_n'(m)}.

    • For two equal roots mm: \frac{c^2}{2!} \phi_n''(m) + c \phi_{n-1}'(m) + \phi_{n-2}(m) = 0$.\n * For three equal roots m::\frac{c^3}{3!} \phi_n'''(m) + \frac{c^2}{2!} \phi_{n-1}''(m) + c \phi_{n-2}'(m) + \phi_{n-3}(m) = 0$.   

      Horizontal asymptote
  • Worked Examples on Asymptotes:

    • Example 5.3: Find asymptotes of x2y2−x2y−xy2+x+y+1=0x^2 y^2 - x^2 y - x y^2 + x + y + 1 = 0

    • Highest power of xx is x2x^2, coefficient y2−y=0  ⟹  y=0,y=1y^2 - y = 0 \implies y = 0, y = 1 (Horizontal).

    • Highest power of yy is y2y^2, coefficient x2−x=0  ⟹  x=0,x=1x^2 - x = 0 \implies x = 0, x = 1 (Vertical).

    • ϕ4(m)=m2=0  ⟹  m=0,0\phi_4(m) = m^2 = 0 \implies m = 0, 0 (No inclined asymptotes).

    • Example 5.4: Find asymptotes of x2+3xy+2y2+3x−2y+1=0x^2 + 3xy + 2y^2 + 3x - 2y + 1 = 0

    • Coefficients of x2x^2 and y2y^2 are constant 11 and 22 (No parallel asymptotes).

    • \phi_2(m) = 2m^2 + 3m + 1 = 0 \implies m = -1, -1/2$.\n * \phi_1(m) = 3 - 2m,,\phi_2'(m) = 4m + 3.\n * For m = -1::c = -\frac{3 - 2(-1)}{4(-1) + 3} = 5 \implies y = -x + 5$.

    • For m=−1/2m = -1/2: c = -\frac{3 - 2(-1/2)}{4(-1/2) + 3} = -4 \implies y = -\frac{1}{2}x - 4$.\n * **Example 5.5(i)**: y^3 - 2xy^2 - x^2y + 2x^3 + 3y^2 - 7xy + 2x^2 + 2y + 2x + 1 = 0\n * \phi_3(m) = m^3 - 2m^2 - m + 2 = (m - 2)(m^2 - 1) = 0 \implies m = 2, 1, -1$.

    • ϕ2(m)=3m2−7m+2\phi_2(m) = 3m^2 - 7m + 2, ϕ3′(m)=3m2−4m−1\phi_3'(m) = 3m^2 - 4m - 1.

    • m=2  ⟹  c=0  ⟹  y=2xm = 2 \implies c = 0 \implies y = 2x

    • m=1  ⟹  c=−1  ⟹  y=x−1m = 1 \implies c = -1 \implies y = x - 1

    • m=−1  ⟹  c=−2  ⟹  y=−x−2m = -1 \implies c = -2 \implies y = -x - 2

    • Example 5.5(ii): x3+3x2y−4y3−x+y+3=0x^3 + 3x^2y - 4y^3 - x + y + 3 = 0

    • \phi_3(m) = 1 + 3m - 4m^3 = (1 - m)(2m + 1)^2 = 0 \implies m = 1, -1/2, -1/2$.\n * Distinct root m = 1 \implies c = 0 \implies y = x$.

    • Double root m=−1/2m = -1/2: \frac{c^2}{2}(-24m) + c(0) + (-1 + m) = 0 \implies -6c^2 + 3/2 = 0 \implies c = \pm 1/2$.\n * Asymptotes: y = x,,y = -\frac{1}{2}x + \frac{1}{2},,y = -\frac{1}{2}x - \frac{1}{2}.\n * **Example 5.5(iii)**: (x + y)^2 (x + y + 2) = x + 9y - 2\n * \phi_3(m) = (1 + m)^3 = 0 \implies m = -1, -1, -1 (Triple root).\n * Formula: \frac{c^3}{6}(6) + \frac{c^2}{2}(4) + c(-9) + 2 = 0 \implies c^3 + 2c^2 - 9c + 2 = 0 \implies c = 2, -2 \pm \sqrt{5}$.

    • Asymptotes: y=−x+2y = -x + 2, y=−x−2+5y = -x - 2 + \sqrt{5}, y = -x - 2 - \sqrt{5}$.\n\n\n# Curve Tracing in Cartesian Coordinates\n\n* **10-Step Procedure for Cartesian Curve Tracing**:\n 1. **Symmetry**:\n * X-axis: Even powers of y((f(x, -y) = f(x, y)).\n * Y-axis: Even powers of x((f(-x, y) = f(x, y)).\n * Origin / Opposite Quadrants: f(-x, -y) = f(x, y).\n * Line y = x:Interchange: Interchangexandandy((f(y, x) = f(x, y)).\n * Line y = -x::f(-y, -x) = f(x, y).\n 2. **Nature of Origin & Tangents**:\n * Pass through origin if constant term is absent.\n * Tangents at origin obtained by equating lowest degree terms to zero.\n * **Node**: Two real and distinct tangents.\n       ![Node](https://assets.knowt.com/pdf-flow-prod/1e476c49-4d40-4c3e-a59e-6d1abeea929b-figures/4.png)\n * **Cusp**: Two real and coincident tangents.\n       ![Cusp](https://assets.knowt.com/pdf-flow-prod/1e476c49-4d40-4c3e-a59e-6d1abeea929b-figures/5.png)\n * **Isolated Point**: Imaginary tangents.\n 3. **Points of Intersection / Intercepts**:\n * X-intercept (y = 0),Y−intercept(), Y-intercept (x = 0).\n 4. **Asymptotes** (Parallel and Oblique).\n 5. **Tangents at Other Points**: Evaluate \frac{dy}{dx}.Horizontaltangent(. Horizontal tangent (\frac{dy}{dx} = 0),Verticaltangent(), Vertical tangent (\frac{dy}{dx} = \infty).\n 6. **Region of Existence / Absence**: Values where y becomes imaginary.\n 7. **Intervals of Increase/Decrease**: Sign of f'(x).\n 8. **Local Extrema**: Critical points and sign of f''(x).\n 9. **Concavity & Inflection Points**: Points where f''(x) = 0$.

    1. Point Plotting.

  • Detailed Curve Tracing Examples:

    • Example 6.1 (Cissoid of Diocles): y2(2a−x)=x3y^2(2a - x) = x^3 (a>0a > 0)

    • Symmetric about X-axis. Cusp at origin (2ay2=0  ⟹  y=0,02ay^2 = 0 \implies y = 0, 0).

    • Vertical asymptote x=2ax = 2a. Region of absence: x<0x < 0 and x > 2a$.\n    ![Cissoid](https://assets.knowt.com/pdf-flow-prod/1e476c49-4d40-4c3e-a59e-6d1abeea929b-figures/6.png)\n * **Example 6.2 (Strophoid)**: y^2(a - x) = x^2(a + x)((a > 0)\n * Symmetric about X-axis. Node at origin (ay^2 - ax^2 = 0 \implies y = \pm x).\n * Intercepts (0, 0),,(-a, 0).Verticalasymptote. Vertical asymptotex = a.Regionofabsence. Region of absencex > aororx < -a$.

    • Vertical tangent at (−a,0)(-a, 0).     

      Strophoid
    • Example 6.3: y=x21−x2y = \frac{x^2}{1 - x^2}

    • Symmetric about Y-axis. Tangent at origin y=0y = 0. Asymptotes y=−1y = -1, x=1x = 1, x = -1$.\n * **Example 6.4**: y^2(x - a) = x^2(x + a)((a > 0)\n * Symmetric about X-axis. Origin is an isolated point (ay^2 + ax^2 = 0 \implies y = \pm ix).\n * Intercepts (0, 0),,(-a, 0).Verticalasymptote. Vertical asymptotex = a.Obliqueasymptotes. Oblique asymptotesy = x + a,,y = -x - a$.

    • Region of absence: −a<x<a-a < x < a (except origin).

    • Example 6.5: y=(x2−x−6)(x−7)=(x+2)(x−3)(x−7)y = (x^2 - x - 6)(x - 7) = (x + 2)(x - 3)(x - 7)

    • Intercepts (−2,0)(-2, 0), (3,0)(3, 0), (7,0)(7, 0), (0,42)(0, 42). Stationary points at x1=0.063x_1 = 0.063 (Max: 42.031442.0314) and x2=5.27x_2 = 5.27 (Min: −28.152-28.152).

    • Example 6.6: y=x2−3xx−1y = \frac{x^2 - 3x}{x - 1}

    • Intercepts (0,0)(0, 0), (3,0)(3, 0). Tangent at origin y=3xy = 3x. Vertical asymptote x=1x = 1. Oblique asymptote y = x - 2$.\n * **Example 6.7**: a^2 y^2 = x^2(2a - x)(x - a)\n * Symmetric about X-axis. Isolated point at origin. Curve exists only in a < x < 2a forming a closed loop.\n * Maximum at x = 1.64a((y = 0.7872a).Verticaltangentsat). Vertical tangents atx = aandandx = 2a$.

    • Example 6.8 (Folium of Descartes): x3+y3=9xyx^3 + y^3 = 9xy

    • Symmetric about y=xy = x (intersects at (4.5,4.5)(4.5, 4.5)). Node at origin (x=0,y=0x = 0, y = 0).

    • Oblique asymptote x + y + 3 = 0$.\n\n\n# Curve Tracing in Polar Coordinates\n\n* **Polar Coordinate System**:\n * Position represented as (r, \theta),where, whererisdistancefrompole(origin)andis distance from pole (origin) and\theta is angle from polar axis (positive X-axis).\n\n* **Three Standard Polar Symmetry Tests**:\n 1. **Symmetry w.r.t. line \theta = \pi/2(Y−axis)∗∗:Equationremainsunchangedwhen(Y-axis)**: Equation remains unchanged when(r, \theta)isreplacedbyis replaced by(-r, -\theta)oror(r, \pi - \theta).\n 2. **Symmetry w.r.t. Polar Axis (X-axis)**: Equation remains unchanged when (r, \theta)isreplacedbyis replaced by(r, -\theta)oror(-r, \pi - \theta).\n 3. **Symmetry w.r.t. Pole (Origin)**: Equation remains unchanged when (r, \theta)isreplacedbyis replaced by(-r, \theta)oror(r, \theta + \pi).\n\n* **Worked Examples**:\n * **Example 6.9 (Archimedean Spiral)**: r = \thetaonon[0, 2\pi]\n * As \thetaincreases,distanceincreases, distancerincreasesproportionally,formingaspiraloriginatingfromincreases proportionally, forming a spiral originating from(0, 0).\n * Key coordinates: (0, 0),,\left(\frac{\pi}{2}, \frac{\pi}{2}\right),,(\pi, \pi),,\left(\frac{3\pi}{2}, \frac{3\pi}{2}\right),,(2\pi, 2\pi).\n * **Example 6.10 (Cardioid)**: r = \cos(\theta) + 1onon[0, 2\pi]\n * Symmetric about polar axis. Points: (2, 0),,\left(1.707, \frac{\pi}{4}\right),,\left(1, \frac{\pi}{2}\right),,\left(0.292, \frac{3\pi}{4}\right),,(0, \pi),,\left(1, \frac{3\pi}{2}\right),,(2, 2\pi).\n * **Example 6.11 (Limaçon with Inner Loop)**: r = 2\sin(\theta) - 1onon[0, 2\pi]\n * Passes through \theta = 0 \implies r = -1 (plotted in Quadrant 3).\n * r = 0atat\theta = \frac{\pi}{6}andand\theta = \frac{5\pi}{6}.\n * Max r = 1atat\theta = \frac{\pi}{2}.Min. Minr = -3atat\theta = \frac{3\pi}{2} (points to positive Y-axis due to negative radius).\n\n\n# Curve Tracing in Parametric Coordinates\n\n* **Parametric Representation**:\n * Coordinates defined by parameter t::x = f(t),,y = g(t)forfort \in D\n\n* **Asymptotes in Parametric Form**:\n * **Horizontal Asymptote (y = k)∗∗:If)**: Iff(t) \rightarrow \inftywhilewhileg(t) \rightarrow kasast \rightarrow t_0$.

    • Vertical Asymptote (x=kx = k): If f(t)→kf(t) \rightarrow k while g(t)→∞g(t) \rightarrow \infty as t \rightarrow t_0$.\n * **Oblique Asymptote (y = mx + c)∗∗:Ifboth)**: If bothf(t), g(t) \rightarrow \pm\inftyasast \rightarrow t_0, then:\n    m = \lim_{t \rightarrow t_0} \frac{g(t)}{f(t)}, \quad c = \lim_{t \rightarrow t_0} [g(t) - m f(t)]\n\n* **Example 6.12 (Parametric Folium of Descartes)**:\n * Parametric equations: x = \frac{3at}{1 + t^3},,y = \frac{3at^2}{1 + t^3}((a > 0)\n * As t \rightarrow -1^{-},,x \rightarrow -\infty,,y \rightarrow \infty.As. Ast \rightarrow -1^{+},,x \rightarrow \infty,,y \rightarrow -\infty$.

    • Slope: m=lim⁡t→−13at2/(1+t3)3at/(1+t3)=lim⁡t→−1t=−1m = \lim_{t \rightarrow -1} \frac{3at^2 / (1 + t^3)}{3at / (1 + t^3)} = \lim_{t \rightarrow -1} t = -1

    • Intercept: c=lim⁡t→−1[3at21+t3+3at1+t3]=lim⁡t→−13at(t+1)(t+1)(t2−t+1)=−3a3=−ac = \lim_{t \rightarrow -1} \left[\frac{3at^2}{1 + t^3} + \frac{3at}{1 + t^3}\right] = \lim_{t \rightarrow -1} \frac{3at(t + 1)}{(t + 1)(t^2 - t + 1)} = \frac{-3a}{3} = -a

    • Inclined asymptote line: y=−(x+a)  ⟺  x+y+a=0y = -(x + a) \iff x + y + a = 0

  • Practice Homework Problems:

    1. y=x21−x2y = \frac{x^2}{1 - x^2}

    2. y=x3−12x−16y = x^3 - 12x - 16

    3. x3+y3=16xyx^3 + y^3 = 16xy

    4. a2y2=x2(a2−x2)a^2 y^2 = x^2(a^2 - x^2)

    5. y2(x−a)=x2(a+x)y^2(x - a) = x^2(a + x)

    6. r=2+2cos⁡(θ)r = 2 + 2\cos(\theta)

    7. r2=a2sin⁡(2θ)r^2 = a^2 \sin(2\theta)

    8. x=2(θ+sin⁡(θ))x = 2(\theta + \sin(\theta)), y=2(1+cos⁡(θ))y = 2(1 + \cos(\theta))