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Computer Science/Numerical Methods/. Difference b/w algebraic and transcendental equation transcendental functions

Computer Science/Numerical Methods/. Difference b/w algebraic and transcendental equation transcendental functions

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Difference Between Algebraic and Transcendental Equations & Functions

1. Algebraic Equation

An algebraic equation is an equation that involves only polynomials with constants and variables, combined using addition, subtraction, multiplication, and division.

General Form:

anxn+an−1xn−1+⋯+a1x+a0=0a_n x^n + a_{n-1} x^{n-1} + \dots + a_1 x + a_0 = 0

where an,an−1,…,a0a_n, a_{n-1}, \dots, a_0 are constants, and xx is the variable.

Examples:

2. Transcendental Equation

A transcendental equation contains transcendental functions, such as exponential, logarithmic, or trigonometric functions, which cannot be expressed as a finite polynomial.

Examples:

 These equations do not have a closed-form solution and often require numerical methods like Bisection Method, Newton-Raphson Method, or Secant Method for solving.

3. Difference Between Algebraic & Transcendental Functions

Aspect Algebraic Function Transcendental Function
Definition A function involving polynomials only. A function that goes beyond polynomials (contains exponentials, logarithms, or trigonometry).
Form f(x)=xn+an−1xn−1+⋯+a1x+a0f(x) = x^n + a_{n-1} x^{n-1} + \dots + a_1 x + a_0 f(x)=ex,sin⁡x,log⁡x,etc.f(x) = e^x, \sin x, \log x, etc.
Example x2+3x+5x^2 + 3x + 5, 4×3−2x+74x^3 – 2x + 7 ex,log⁡x,sin⁡x,tan⁡xe^x, \log x, \sin x, \tan x
Solvability Can be solved algebraically using factorization, quadratic formula, etc. Requires numerical methods for solving.
Graph Nature Generally smooth and polynomial-like. More complex curves, often periodic or asymptotic.

4. Numerical Methods to Solve Transcendental Equations

Since transcendental equations cannot be solved directly, we use iterative methods:

Bisection Method – Divides the interval and checks for root signs.
Newton-Raphson Method – Uses derivatives for fast convergence.
Regula Falsi (False Position) Method – A modified bisection method.
Secant Method – Uses two initial approximations instead of derivatives.

Would you like a step-by-step example of solving a transcendental equation using numerical methods?

Computer Science/Numerical Methods/. Difference b/w algebraic and transcendental equation transcendental functions

UNIT 2 SOLUTION OF ALGEBRAIC AND …

Here’s a clear and concise explanation of the difference between algebraic and transcendental equations, along with an understanding of transcendental functions in the context of Computer Science and Numerical Methods:


1. Algebraic Equations

Definition:

An algebraic equation is any equation formed using a finite number of algebraic operations (addition, subtraction, multiplication, division, and roots) on polynomials.

Examples:

Nature:


2. Transcendental Equations

Definition:

A transcendental equation is one that contains at least one transcendental function of the variable — i.e., a function that cannot be expressed as a finite combination of algebraic operations.

Examples:

Nature:


3. Transcendental Functions

Definition:

These are functions that go beyond algebraic — they cannot be expressed as roots of polynomial equations with rational coefficients.

Common Transcendental Functions:


Summary Table

Feature Algebraic Equation Transcendental Equation
Involves Polynomials only Transcendental functions (sin, log, exp, etc.)
Solvability Often solved exactly Usually solved approximately (numerical methods)
Example x2+2x−3=0x^2 + 2x – 3 = 0 sin⁡(x)−x/2=0\sin(x) – x/2 = 0
Application Found in basic modeling Found in complex physical, engineering simulations

In Numerical Methods (Computer Science Use)

These are essential in simulations, control systems, machine learning models, etc.


Would you like visual examples or Python code for solving such equations numerically?

Computer Science/Numerical Methods/. Difference b/w algebraic and transcendental equation transcendental functions

Algebraic and Transcendental Equation and It’s Applications

Numerical Analysis by Dr. Anita Pal Assistant Professor …

Semester–V L T P C 15PHU505A NUMERICAL METHODS 5