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Analysis I

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Complex Numbers

C={x+y⋅i∣x,y∈R} \mathbb{C} = \{x + y \cdot i | x,y \in \mathbb{R}\}

Set of complex numbers

i2=−1 i^2 = -1

Euler’s Formula

eiθ=cos⁡(θ)+i⋅sin⁡(θ) e^{i\theta} = \cos(\theta) + i \cdot \sin(\theta)


Euler’s identity:

eiπ=−1 e^{i\pi} = -1

Elementary Functions

Exponential function

exp⁡:R→R+ \exp : \mathbb{R} \rightarrow \mathbb{R}^+


We write:

exp⁡(x)=ex \exp(x) = e^x
  1. e0=1 e^0 = 1
  2. ∀x,y∈R:ex+y=ex⋅ey \forall x,y \in \mathbb{R}: e^{x+y} = e^x \cdot e^y
  3. ∀x∈R:ex≠0 \forall x \in \mathbb{R}: e^x \neq 0 and e−x=1ex e^{-x} = \frac{1}{e^x}
  4. ∀x∈R:ex>0 \forall x \in \mathbb{R}: e^x > 0
  5. exp⁡\exp is strictly monotone increasing
  6. exp⁡:R→(0,∞) \exp: \mathbb{R} \rightarrow (0,\infty) is bijective
  7. (ex)′=ex (e^x)' = e^x

Logarithmic function

ln⁡:(0,∞)→R \ln : (0,\infty) \rightarrow \mathbb{R}


The natural logarithm is the inverse function of the exponential:

  1. eln⁡(x)=x for all x>0 e^{\ln(x)} = x \text{ for all } x > 0
  2. ln⁡(ex)=x for all x∈R \ln(e^x) = x \text{ for all } x \in \mathbb{R}
  3. ln⁡(x⋅y)=ln⁡(x)+ln⁡(y) \ln(x \cdot y) = \ln(x) + \ln(y)
  4. ln⁡(x/y)=ln⁡(x)−ln⁡(y) \ln(x/y) = \ln(x) - \ln(y)
  5. ln⁡(xa)=a⋅ln⁡(x) \ln(x^a) = a \cdot \ln(x)
  6. ln⁡(1)=0,ln⁡(e)=1 \ln(1) = 0, \quad \ln(e) = 1
  7. (ln⁡(x))′=1x (\ln(x))' = \frac{1}{x}

Trigonometric functions

sin⁡,cos⁡:R→[−1,1] \sin, \cos : \mathbb{R} \rightarrow [-1,1]
  1. sin⁡2(x)+cos⁡2(x)=1 \sin^2(x) + \cos^2(x) = 1 (Pythagorean identity)
  2. sin⁡(x+y)=sin⁡(x)cos⁡(y)+cos⁡(x)sin⁡(y) \sin(x + y) = \sin(x)\cos(y) + \cos(x)\sin(y)
  3. cos⁡(x+y)=cos⁡(x)cos⁡(y)−sin⁡(x)sin⁡(y) \cos(x + y) = \cos(x)\cos(y) - \sin(x)\sin(y)
  4. (sin⁡(x))′=cos⁡(x) (\sin(x))' = \cos(x)
  5. (cos⁡(x))′=−sin⁡(x) (\cos(x))' = -\sin(x)
  6. Domain: R\mathbb{R}, Period: 2π2\pi
tan⁡(x)=sin⁡(x)cos⁡(x),x≠π2+kπ,k∈Z \tan(x) = \frac{\sin(x)}{\cos(x)}, \quad x \neq \frac{\pi}{2} + k\pi, k \in \mathbb{Z}

Sequences and Limits

Definition of a Sequence

A sequence is a function

a:N→R a: \mathbb{N} \rightarrow \mathbb{R}


Notation:

(an)n∈N or (an)n=1∞ (a_n)_{n \in \mathbb{N}} \text{ or } (a_n)_{n=1}^{\infty}

Convergence of Sequences

A sequence (an)(a_n) converges to L∈RL \in \mathbb{R} if:

∀ϵ>0 ∃N∈N:∀n>N:∣an−L∣<ϵ \forall \epsilon > 0 \, \exists N \in \mathbb{N} : \forall n > N : |a_n - L| < \epsilon

We write:

lim⁡n→∞an=L \lim_{n \to \infty} a_n = L

Properties:

  1. If lim⁡an=L\lim a_n = L and lim⁡bn=M\lim b_n = M, then lim⁡(an+bn)=L+M\lim (a_n + b_n) = L + M
  2. lim⁡(an⋅bn)=L⋅M\lim (a_n \cdot b_n) = L \cdot M
  3. If M≠0M \neq 0: lim⁡anbn=LM\lim \frac{a_n}{b_n} = \frac{L}{M}
  4. Squeeze theorem: If an≤cn≤bna_n \leq c_n \leq b_n and lim⁡an=lim⁡bn=L\lim a_n = \lim b_n = L, then lim⁡cn=L\lim c_n = L

Monotone Sequences

Monotone Convergence Theorem:

  • Every monotone increasing sequence that is bounded above converges
  • Every monotone decreasing sequence that is bounded below converges

Special Important Limits

lim⁡n→∞(1+1n)n=e \lim_{n \to \infty} \left(1 + \frac{1}{n}\right)^n = e

lim⁡n→∞ann!=0 for any a>0 \lim_{n \to \infty} \frac{a^n}{n!} = 0 \text{ for any } a > 0

lim⁡n→∞nn=1 \lim_{n \to \infty} \sqrt[n]{n} = 1

Series

Definition

An infinite series is:

∑n=1∞an=a1+a2+a3+… \sum_{n=1}^{\infty} a_n = a_1 + a_2 + a_3 + \ldots

The NN-th partial sum is:

SN=∑n=1Nan S_N = \sum_{n=1}^{N} a_n

A series converges if lim⁡N→∞SN\lim_{N \to \infty} S_N exists and is finite.

Geometric Series

∑n=0∞rn=11−rfor ∣r∣<1 \sum_{n=0}^{\infty} r^n = \frac{1}{1-r} \quad \text{for } |r| < 1

Convergence Tests

  1. Divergence Test: If lim⁡an≠0\lim a_n \neq 0, then ∑an\sum a_n diverges
  2. Comparison Test: If 0≤an≤bn0 \leq a_n \leq b_n and ∑bn\sum b_n converges, then ∑an\sum a_n converges
  3. Ratio Test: Let L=lim⁡n→∞∣an+1an∣L = \lim_{n \to \infty} \left|\frac{a_{n+1}}{a_n}\right|
    • If L<1L < 1: series converges absolutely
    • If L>1L > 1: series diverges
    • If L=1L = 1: test is inconclusive
  4. Root Test: Let L=lim⁡n→∞∣an∣nL = \lim_{n \to \infty} \sqrt[n]{|a_n|}
    • If L<1L < 1: series converges absolutely
    • If L>1L > 1: series diverges

Harmonic Series

∑n=1∞1n=1+12+13+…DIVERGES \sum_{n=1}^{\infty} \frac{1}{n} = 1 + \frac{1}{2} + \frac{1}{3} + \ldots \quad \text{DIVERGES}

Power Series

∑n=0∞cn(x−a)n=c0+c1(x−a)+c2(x−a)2+… \sum_{n=0}^{\infty} c_n(x - a)^n = c_0 + c_1(x-a) + c_2(x-a)^2 + \ldots

has a radius of convergence RR, and converges for all xx with ∣x−a∣<R|x - a| < R.

Limits and Continuity

Limit of a Function

lim⁡x→af(x)=L \lim_{x \to a} f(x) = L

if:

∀ϵ>0 ∃δ>0:0<∣x−a∣<δ⇒∣f(x)−L∣<ϵ \forall \epsilon > 0 \, \exists \delta > 0 : 0 < |x - a| < \delta \Rightarrow |f(x) - L| < \epsilon

Continuity

A function ff is continuous at aa if:

lim⁡x→af(x)=f(a) \lim_{x \to a} f(x) = f(a)

Properties of continuous functions:

  1. Sums, products, and quotients of continuous functions are continuous
  2. Composition of continuous functions is continuous
  3. Intermediate Value Theorem: If ff is continuous on [a,b][a,b] and yy is between f(a)f(a) and f(b)f(b), then ∃c∈(a,b)\exists c \in (a,b) such that f(c)=yf(c) = y
  4. Extreme Value Theorem: If ff is continuous on [a,b][a,b], then ff attains its maximum and minimum values on [a,b][a,b]

Differentiation

Definition of the Derivative

f′(a)=lim⁡h→0f(a+h)−f(a)h f'(a) = \lim_{h \to 0} \frac{f(a+h) - f(a)}{h}

If this limit exists, we say ff is differentiable at aa.

Differentiation Rules

  1. Sum Rule: (f+g)′=f′+g′(f + g)' = f' + g'
  2. Product Rule: (f⋅g)′=f′⋅g+f⋅g′(f \cdot g)' = f' \cdot g + f \cdot g'
  3. Quotient Rule: (fg)′=f′⋅g−f⋅g′g2\left(\frac{f}{g}\right)' = \frac{f' \cdot g - f \cdot g'}{g^2}
  4. Chain Rule: (f∘g)′(x)=f′(g(x))⋅g′(x)(f \circ g)'(x) = f'(g(x)) \cdot g'(x)
  5. Power Rule: (xn)′=n⋅xn−1(x^n)' = n \cdot x^{n-1}

Mean Value Theorem

If ff is continuous on [a,b][a,b] and differentiable on (a,b)(a,b), then ∃c∈(a,b)\exists c \in (a,b) such that:

f′(c)=f(b)−f(a)b−a f'(c) = \frac{f(b) - f(a)}{b - a}

Monotonicity and Local Extrema

  • If f′(x)>0f'(x) > 0 on an interval, then ff is strictly increasing on that interval
  • If f′(x)<0f'(x) < 0 on an interval, then ff is strictly decreasing on that interval
  • If f′(a)=0f'(a) = 0 and f′′(a)<0f''(a) < 0, then aa is a local maximum
  • If f′(a)=0f'(a) = 0 and f′′(a)>0f''(a) > 0, then aa is a local minimum

Integration

Riemann Integral

The Riemann integral of ff on [a,b][a,b] is:

∫abf(x) dx=lim⁡n→∞∑i=1nf(ξi)Δxi \int_a^b f(x) \, dx = \lim_{n \to \infty} \sum_{i=1}^{n} f(\xi_i) \Delta x_i

where the interval is partitioned and Δxi→0\Delta x_i \to 0.

If this limit exists, ff is Riemann integrable on [a,b][a,b].

Fundamental Theorem of Calculus

Part 1: If ff is continuous on [a,b][a,b], then:

F(x)=∫axf(t) dt F(x) = \int_a^x f(t) \, dt

is differentiable and F′(x)=f(x)F'(x) = f(x).

Part 2: If FF is an antiderivative of ff on [a,b][a,b], then:

∫abf(x) dx=F(b)−F(a) \int_a^b f(x) \, dx = F(b) - F(a)

Integration Rules

  1. Linearity: ∫(af+bg)=a∫f+b∫g\int (af + bg) = a\int f + b\int g
  2. Integration by parts: ∫u dv=uv−∫v du\int u \, dv = uv - \int v \, du
  3. Substitution: ∫f(g(x))⋅g′(x) dx=∫f(u) du\int f(g(x)) \cdot g'(x) \, dx = \int f(u) \, du where u=g(x)u = g(x)

Standard Antiderivatives

∫xn dx=xn+1n+1+C(n≠−1) \int x^n \, dx = \frac{x^{n+1}}{n+1} + C \quad (n \neq -1)

∫1x dx=ln⁡∣x∣+C \int \frac{1}{x} \, dx = \ln|x| + C

∫ex dx=ex+C \int e^x \, dx = e^x + C

∫sin⁡(x) dx=−cos⁡(x)+C \int \sin(x) \, dx = -\cos(x) + C

∫cos⁡(x) dx=sin⁡(x)+C \int \cos(x) \, dx = \sin(x) + C

∫11+x2 dx=arctan⁡(x)+C \int \frac{1}{1+x^2} \, dx = \arctan(x) + C