2.2.5 · Maths › Functions
Functions ko unke algebraic form aur behavior ke basis par classify kiya jaata hai. Function types ko samajhna aapko unke graphs predict karne, sahi solution methods chunne, aur mathematics mein patterns pehchaanne mein help karta hai. Har type ki ek signature structure hoti hai jo uska domain, range, continuity, aur asymptotic behavior determine karti hai.
Definition Constant Function
Ek function f ( x ) = c jahan c ek real number hai. Output hamesha same rehta hai, chahe input kuch bhi ho.
f : R → { c }
Intuition Yeh Kyun Zaroori Hai
Constant functions unchanging quantities ko model karte hain: speed of light, fixed costs, equilibrium states. Derivative zero hoti hai (koi change nahi), jo inhe optimization mein critical banata hai.
Derivation from scratch:
Ek function input x ko output y se map karta hai
Agar mapping rule yeh hai ki "ignore x , hamesha c return karo", to f ( x ) = c
Kyun? Chahe koi bhi x plug karo, equation mein koi x term nahi hai, to output input par depend nahi kar sakta
Properties:
Domain: R (saare real numbers)
Range: { c } (single value)
Graph: horizontal line at y = c
Slope: 0 (koi change nahi)
Worked example Constant Function Examples
Example 1: f ( x ) = 5
Input: x = − 2 , 0 , 100
Output: hamesha 5
Kyun? Rule hai "return 5", x involve koi computation nahi hoti
Example 2: Physics—Speed of light
c ( t ) = 299 , 792 , 458 m/s har time t ke liye
Kyun constant? Fundamental physical constant hai, observer ya time ke saath nahi badlta
Intuition Linearity Ka Essence
Constant rate of change. x mein har 1-unit increase y mein m -unit change produce karta hai. Graph ek straight line hai kyunki aap baar baar same amount add kar rahe ho—jaise uniform step height wali stairs chadh rahe ho.
Derivation from first principles:
Idea se start karo: "output mein change, input mein change ke proportional hai"
Δ x Δ y = m (constant)
Is rate ko integrate karo: Δ y = m ⋅ Δ x
Agar hum point ( 0 , b ) se start karein, to x units horizontally move karne ke baad:
y − b = m ⋅ ( x − 0 )
y ke liye solve karo: y = m x + b ✓
Yeh form kyun?
m : Kitna steep? Positive = rising, negative = falling, zero = horizontal
b : Yeh y -axis ko kahan cross karta hai?
Common mistake Common Error: Slope aur Intercept Ko Confuse Karna
Galat: "f ( x ) = − 4 x + 7 mein, function decreasing hai kyunki b = 7 positive hai."
Kyun sahi lagta hai: Positive number aankh pakad leta hai.
Fix: Slope m determine karta hai increasing/decreasing, intercept nahi. Yahan m = − 4 < 0 , to function decreasing hai . Intercept b = 7 sirf starting height batata hai.
Intuition Quadratic Kyun?
Accelerated change ko model karta hai. Linear functions ki constant speed hoti hai; quadratics ki constant acceleration hoti hai. Sochiye projectile motion, squares ka area, compound interest. x 2 term rate of change ko khud change kara deta hai.
Derivation from scratch:
Maano humare paas constant acceleration 2 a hai
Velocity: v ( x ) = 2 a x + b (linear)
Position (velocity ko integrate karo): f ( x ) = ∫ ( 2 a x + b ) d x = a x 2 + b x + c
Kyun x 2 ? Linearly changing rate ko accumulate karne se quadratic milta hai
Standard Forms:
Standard form: f ( x ) = a x 2 + b x + c
Vertex form: f ( x ) = a ( x − h ) 2 + k
Vertex at ( h , k )
Convert kaise karein? Complete the square
Factored form: f ( x ) = a ( x − r 1 ) ( x − r 2 )
a Ka Sign Bhoolna
Galat: "f ( x ) = − 2 x 2 + 3 ka vertex par minimum hai."
Kyun sahi lagta hai: Humne seekha "vertex = extremum" aur check karna bhool gaye kaunsa type.
Fix: a = − 2 < 0 matlab parabola neeche ki taraf khulta hai, to vertex maximum hai, minimum nahi. Hamesha pehle a ka sign check karo.
Intuition Polynomials Kyun?
Smooth functions ke building blocks. Koi bhi smooth curve ek polynomial se approximate ki ja sakti hai (Taylor series). Yeh addition, subtraction, aur multiplication ke under closed hain—inhe algebraically friendly banata hai. Polynomials roller coaster tracks se lekar economic models tak sab kuch model karte hain.
Key Properties by Degree:
Degree 0: Constant (a 0 )
Degree 1: Linear (a x + b )
Degree 2: Quadratic (a x 2 + b x + c )
Degree 3: Cubic (a x 3 + b x 2 + c x + d )
Degree n : Up to n roots, n − 1 turning points
Worked example Polynomial Examples
Example 1: f ( x ) = x 3 − 3 x 2 + 2
Degree 3 (cubic), leading coefficient 1 > 0
End behavior: x → − ∞ , f ( x ) → − ∞ ; x → + ∞ , f ( x ) → + ∞
Kyun? Bade x ke liye, x 3 dominate karta hai: f ( x ) ≈ x 3
x = 0 par: f ( 0 ) = 2 (constant term y -intercept hai)
Example 2: f ( x ) = − 2 x 4 + 5 x 2 − 1
Degree 4 (quartic), leading coefficient − 2 < 0
Dono ends − ∞ ki taraf jaate hain (even degree, negative leading coefficient)
Even symmetry kyun? Sirf even powers hain, to f ( − x ) = f ( x )
Common mistake "Zyada Roots = Higher Degree" Maanna
Galat: "f ( x ) = x 2 ( x − 1 ) ( x − 2 ) ( x − 3 ) degree 5 hai kyunki iske 5 roots hain."
Kyun sahi lagta hai: Factors ginte hain.
Fix: Expand karo: x 2 ( x − 1 ) ( x − 2 ) ( x − 3 ) = x 2 ( x 3 − 6 x 2 + 11 x − 6 ) = x 5 − 6 x 4 + 11 x 3 − 6 x 2 . Degree 5 hai, lekin sirf 4 distinct roots hain (0 ek double root hai). Degree = highest power, roots ki sankhya nahi.
Intuition Ratios Se Asymptotes Bante Hain
Zero se division undefined hai, to jahan bhi q ( x ) = 0 , function "blow up" karta hai—vertical asymptotes create karte hue. Jaise x → ∞ , leading terms ka ratio horizontal/oblique asymptotes determine karta hai. Rational functions rates model karte hain (speed = distance/time), lenses, electrical circuits—kahin bhi ek quantity doosri ko divide kare.
Domain: Saare real numbers except jahan q ( x ) = 0 .
Types of Asymptotes:
Vertical asymptote x = a par agar q ( a ) = 0 aur p ( a ) = 0
Function ± ∞ ki taraf approach karta hai jaise x → a
Horizontal asymptote y = L agar lim x → ∞ f ( x ) = L
p aur q ke degrees se determine hota hai:
deg( p ) < deg( q ) : y = 0
deg( p ) = deg( q ) : y = b n a n (leading coefficients ka ratio)
deg( p ) > deg( q ) : koi horizontal asymptote nahi (oblique ho sakta hai)
Oblique asymptote: agar deg( p ) = deg( q ) + 1 , polynomial division karo
Worked example Rational Function Examples
Example 1: f ( x ) = x − 3 2 x + 1
Domain: x = 3 (denominator zero)
Vertical asymptote: x = 3 (denominator zero, numerator = 7 = 0 )
Horizontal asymptote: deg(numerator) = deg(denominator) = 1, to y = 1 2 = 2
Kyun y = 2 ? Bade x ke liye: x − 3 2 x + 1 ≈ x 2 x = 2
x = 0 par: f ( 0 ) = − 3 1 = − 3 1 (y -intercept)
f ( x ) = 0 par: 2 x + 1 = 0 ⇒ x = − 2 1 (x -intercept)
Example 2: f ( x ) = x 2 + 1 x 2 − 1
Domain: x 2 + 1 > 0 saare real x ke liye, to domain = R (koi vertical asymptote nahi!)
Horizontal asymptote: deg = deg, to y = 1 1 = 1
Kyun? x 2 + 1 x 2 − 1 ≈ x 2 x 2 = 1 bade ∣ x ∣ ke liye
x -intercepts: x 2 − 1 = 0 ⇒ x = ± 1
Common mistake "Denominator Zero Matlab Hamesha Vertical Asymptote"
Galat: "f ( x ) = x − 2 x 2 − 4 ka vertical asymptote x = 2 par hai."
Kyun sahi lagta hai: x = 2 par denominator zero hai.
Fix: Factor karo: x − 2 ( x − 2 ) ( x + 2 ) = x + 2 jab x = 2 . ( x − 2 ) cancel ho jaata hai—yeh removable discontinuity (ek hole) hai, asymptote nahi. Simplified function linear x + 2 hai jisme ( 2 , 4 ) par ek hole hai.
Definition Radical Function
Variable ko ek root symbol ke neeche contain karta hai:
f ( x ) = n g ( x )
Sabse common: square root (n = 2 ) aur cube root (n = 3 ).
Intuition Powers Ko Reverse Karna
Radicals powers ke inverse operations hain. Agar y = x 2 (squaring), to x = y (square root). Yeh ek doosre ko "undo" karte hain. Radicals geometry (Pythagorean theorem), physics (kinetic energy ∝ v ), aur constrained growth ko model karne mein aate hain.
Domain restrictions:
Even roots (x , 4 x , ...): radicand ≥ 0 hona chahiye (real numbers mein even root ke neeche negative nahi)
Odd roots (3 x , 5 x , ...): koi bhi real number theek hai
Domain ki derivation:
f ( x ) = g ( x ) real hone ke liye, humein g ( x ) ≥ 0 chahiye
Kyun? a us number b ≥ 0 ke roop mein defined hai jaise b 2 = a . Koi real b satisfy nahi karta b 2 < 0 .
Worked example Radical Function Examples
Example 1: f ( x ) = x − 2
Domain: x − 2 ≥ 0 ⇒ x ≥ 2
Kyun? Negative ka square root nahi le sakte (real numbers mein)
f ( 2 ) = 0 = 0 (starting point)
f ( 6 ) = 4 = 2
Graph: ( 2 , 0 ) se start, upar curve karta hai, concave down
Example 2: f ( x ) = 3 x + 1
Domain: saare real x (cube root negatives handle karta hai)
Kyun? 3 − 8 = − 2 kyunki ( − 2 ) 3 = − 8 ✓
f ( − 1 ) = 3 0 = 0
f ( 7 ) = 3 8 = 2
Graph: ( − 1 , 0 ) se guzarta hai, har jagah defined
Example 3: f ( x ) = 4 − x 2
Domain: 4 − x 2 ≥ 0 ⇒ x 2 ≤ 4 ⇒ − 2 ≤ x ≤ 2
Kyun? 4 ≥ x 2 chahiye, jo ∣ x ∣ ≤ 2 par hold karta hai
Yeh circle x 2 + y 2 = 4 ka top half hai
Common mistake Domain Restrictions Ko Ignore Karna
Galat: "Agar f ( x ) = x aur g ( x ) = x , to f ( g ( x )) = x ka domain saare reals hai."
Kyun sahi lagta hai: Hum x dekhte hain aur sochte hain "yeh to sirf f hai."
Fix: f ( g ( x )) = f ( x ) = x ke liye x ≥ 0 chahiye. Bhaleki g ( x ) = x saare x ke liye defined hai, composition ka domain f ke domain se limited hai. Hamesha dono functions ki restrictions check karo.
Intuition Real-World Conditions Ko Model Karna
Real systems alag-alag conditions mein alag behave karte hain: tax brackets (alag incomes ke liye alag rates), shipping costs (bulk discounts), traffic flow (rush hour par changes). Piecewise functions conditional logic ko mathematical form mein capture karte hain.
Important concepts:
Continuity at boundaries: Kya lim x → a − f ( x ) = lim x → a + f ( x ) = f ( a ) ?
Evaluating: Dekho kaun sa piece apply hota hai, phir wo formula use karo
Graphing: Har piece ko uske domain par graph karo, jumps/gaps dhundho
Worked example Piecewise Function Examples
Example 1: Absolute Value
f ( x ) = ∣ x ∣ = { x − x if x ≥ 0 if x < 0
x = 3 par: pehla piece use karo, f ( 3 ) = 3
x = − 2 par: doosra piece use karo, f ( − 2 ) = − ( − 2 ) = 2
Boundary par x = 0 :
Left limit: lim x → 0 − ( − x ) = 0
Right limit: lim x → 0 + x = 0
f ( 0 ) = 0
x = 0 par Continuous ✓
Example 2: Tax Bracket Model
0.10x & \text{if } 0 \leq x \leq 10{,}000 \\
1000 + 0.15(x - 10{,}000) & \text{if } x > 10{,}000
\end{cases}$$
- Income $x = 5000$: $T(5000) = 0.10(5000) = 500$
- Income $x = 20{,}000$: $T(20{,}000) = 1000 + 0.15(10{,}000) = 2500$
- **Kyun $+1000$?** Pehle $\$10k$ par 10\% tax lagta hai jo $1000$ deta hai, phir additional income par 15% tax
- **$x = 10{,}000$ par continuity check:**
- Left se: $0.10(10{,}000) = 1000$
- Right se: $1000 + 0.15(0) = 1000$
- **Continuous** ✓
**Example 3:** Discontinuous Function
$$f(x) = \begin{cases}
x^2 & \text{if } x < 2 \\
2x + 1 & \text{if } x \geq 2
\end{cases}$$
- $x = 2$ par:
- Left limit: $\lim_{x \to 2^-} x^2 = 4$
- Right limit: $\lim_{x \to 2^+} (2x+1) = 5$
- $f(2) = 2(2) + 1 = 5$ (doosra piece use karo)
- **Jump discontinuity:** left limit $\neq$ right limit
Common mistake Galat Piece Par Evaluate Karna
Galat: f ( x ) = { x + 1 x 2 x < 0 x ≥ 0 ke liye, f ( 0 ) = 0 + 1 = 1 nikalna.
Kyun sahi lagta hai: Upar wala piece simpler hai, to hum use use karte hain.
Fix: Check karo kaunsa condition x = 0 satisfy karta hai: 0 < 0 (galat), 0 ≥ 0 (sahi). Doosra piece use karo: f ( 0 ) = 0 2 = 0 . Hamesha verify karo kaunsa domain interval tumhara input contain karta hai.
Type
General Form
Key Feature
Domain
Constant
f ( x ) = c
Horizontal line
R
Linear
f ( x ) = m x + b
Straight line, constant slope
R
Quadratic
f ( x ) = a x 2 + b x + c
Parabola
R
Polynomial
f ( x ) = a n x n + ⋯ + a 0
Smooth curve, degree n
R
Rational
f ( x ) = q ( x ) p ( x )
Asymptotes
q ( x ) = 0
Radical
f ( x ) = n g ( x )
Root function
g ( x ) ≥ 0 (even n )
Piecewise
Multiple formulas
Alag intervals par alag rules
Varies by piece
Recall Feynman Technique: 12-Saal-Ke-Bacche Ko Samjhao
Socho tumhare paas ek machine hai jo number leta hai aur doosra number deta hai. Alag machines ke alag rules hote hain:
Constant machine: Chahe koi bhi number daalo, hamesha same number nikalti hai. Jaise ek tooti hui vending machine jo sirf chocolate deti hai, chahe tum "chips" press karo.
Linear machine: Input par har ek step aage jaane par, output same amount se upar (ya neeche) jaata hai. Jaise stairs chaddhna—har step tumhe same height upar le jaata hai.
Quadratic machine: Output tezi se tezi se badalta hai (ya dheere dheere). Jaise ek ball jo tum upar phenko—yeh dheeli hoti hai, rukti hai, phir neeche aakar tez hoti hai. U-shape banati hai.
Rational machine: Ek polynomial ko doosre se divide karta hai. Kabhi kabhi yeh pagal ho jaati hai aur infinity tak shoot karti hai (vertical asymptote) jahan neeche zero ho. Jaise pizza zero logon mein divide karna—impossible!
Radical machine: Squaring ka ulta karta hai. Agar tumne kuch square kiya tha aur 9 aaya, radical machine tumhe 3 wapas deti hai. Lekin yeh choosy hai—regular numbers mein negative ka square root nahi le sakte.
Piecewise machine: Multiple personalities hain! Jab input chhota ho to ek rule use karta hai, jab bada ho to alag rule. Jaise ticket prices: bacche kam dete hain, adults zyada.
C onstant — flat
L inear — line
Q uadratic — U-parabola
P olynomial — powers
R ational — ratio (fraction)
R adical — root
P iecewise — pieces
Memory aid: "C an L ions Q uickly P erform R eally R ad P lays?" Ek lion ko circus act mein har function type karte hue visualize karo.
M02.01 Function Definition — types classify karne se pehle samajhna ki function kya hota hai
M02.03 Domain and Range — har type ki characteristic domain/range restrictions hoti hain
M02.04 Function Transformations — in mein se kisi bhi type ko shift, stretch, reflect karna
M02.06 Inverse Functions — kuch types (jaise quadratics) ko invertible hone ke liye domain restrictions chahiye
M03.01 Limits — rational functions mein asymptotes ko rigorously define karne ke liye chahiye
M03.02 Continuity — piecewise functions mein aksar boundaries par continuity issues hote hain
M04.01 Derivatives — har function type ke characteristic derivative formulas hote hain
M05.01 Integration — polynomials vs. rational functions ko integrate karne ke liye alag techniques chahiye
#flashcards/maths
What is a constant function? :: Ek function f ( x ) = c jahan output hamesha same value c hota hai, chahe input kuch bhi ho.
What is the slope of a constant function? Zero (graph ek horizontal line hai jisme koi rise nahi).
For a linear function f ( x ) = m x + b , what do m and b represent? m slope hai (rate of change) aur b
special case where m equals 0
Domain range continuity asymptotes
Linear f x equals mx plus b
Horizontal line at y equals c