Class 9 · Maths · Chapter 2 · NCERT Class 9 Maths

Introduction to Linear Polynomials Class 9 Notes

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Chapter mind map

The whole chapter at a glance: the big idea, then each branch and what sits under it.

Introduction to Linear Polynomials

Study of univariate polynomials of degree 1, their algebraic structure, functional behavior, and visual representation as straight lines.

  1. Algebraic Foundations

    The building blocks of polynomials involving variables, constants, and coefficients.

    • Terms and Coefficients — Terms are parts separated by +/- signs; coefficients are the numerical factors of variable terms.
    • Univariate Polynomials — Expressions with a single variable raised to non-negative integer powers.
    • Degree Classification — Highest power determines degree: 0 (constant), 1 (linear), 2 (quadratic), and 3 (cubic).
  2. Functional Behavior

    Polynomials act as machines where an input x produces a unique output y.

    • Input-Output Process — Substituting a value for the variable to calculate the polynomial's value at that point.
    • Constant Rate of Change — In linear patterns, the difference between successive values at equal intervals remains constant.
    • Chess Club Model — Example: 200 + 50m shows a constant increase of 50 for every additional match played.
  3. Growth and Decay Models

    Linear expressions model real-world quantities changing by fixed amounts.

    • Linear Growth — Quantity increases by a constant amount, such as plant height (h = 1.75 + 0.5t).
    • Linear Decay — Quantity decreases by a constant amount, such as water tank depletion (h = 3 - 0.5t).
    • Asset Depreciation — Economic model where value decreases annually, e.g., a phone losing 800 in value per year.
  4. Geometric Properties

    The visual and structural components of the linear equation y = ax + b.

    • Slope (a) — Represents steepness; positive values rise (growth), negative values fall (decay).
    • Y-Intercept (b) — The y-coordinate where the line crosses the y-axis at point (0, b).
    • Parallel Lines — Lines with the same slope but different y-intercepts never intersect.
  5. Solving and Graphing

    Methods to determine and visualize linear relationships.

    • Finding Equations — Using two points (x, y) to solve for constants 'a' and 'b' in y = ax + b.
    • Plotting Straight Lines — Connecting at least two coordinate points that satisfy the equation on a plane.
    • Verification of Points — Every point on the line must satisfy the equation; e.g., (7, 15) satisfies y = 2x + 1.

Chapter notes

This chapter explores the fundamentals of algebraic expressions, focusing on univariate polynomials, linear patterns, and the graphical representation of linear relationships.

Understanding Algebraic Expressions

Algebraic expressions are the building blocks of algebra, combining numbers and variables using mathematical operations.

An algebraic expression is formed by combining variables (symbols representing unknown values) and constants using operations like addition, subtraction, multiplication, and division. For example, in the expression 4x + 5y + 3, the parts separated by plus or minus signs are called terms. Here, 4x, 5y, and 3 are the terms.

The numerical factor of a variable term is called its coefficient. In the term 4x, the coefficient of x is 4. In more complex expressions like 200l + 160w + 50lw, the terms are 200l, 160w, and 50lw. The coefficients are 200 (for l), 160 (for w), and 50 (for the product lw). These expressions allow us to model real-world scenarios, such as calculating the total cost of items or the area of a garden.

ExpressionTermsVariablesCoefficientsConstants
4x + 5y + 34x, 5y, 3x, y4, 53
200l + 160w + 50lw200l, 160w, 50lwl, w200, 160, 50 (for lw)None

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Question

In the expression 7z - 4, identify the variable, coefficient, and constant.

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NCERT reference: chapter PDF pages 1, 2.

Univariate Polynomials and Degree

When an algebraic expression involves only one variable, it is called a univariate polynomial.

A univariate polynomial is an expression where all terms contain the same single variable (like x, y, or z) raised to non-negative integer powers. The highest power of the variable in such a polynomial determines its degree. For example, in x² + 5x + 1, the highest power is 2, so the degree is 2.

Polynomials are classified by their degree. A degree 1 polynomial is a linear polynomial (e.g., 3z + 7). Degree 2 is quadratic (e.g., x² + 5x + 1), and degree 3 is cubic (e.g., 5y³ + y² + 2y - 1). A constant number like 8 is a constant polynomial of degree 0 because it can be written as 8x⁰.

Identifying Degree and Coefficients

P(x) = x⁴ - 3x³ + 6x² - 2x + 7

The highest power of x is 4, so the degree is 4. The coefficient of x³ is -3, the coefficient of x² is 6, and the constant term is 7.

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What is the degree of the polynomial 4z - 3?

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NCERT reference: chapter PDF pages 3, 4.

Linear Polynomials and Patterns

Linear polynomials represent relationships where a change in the input leads to a constant change in the output.

A linear polynomial has the general form ax + b. A key characteristic of linear patterns is that the difference between successive values at equal intervals is constant. For example, if a chess club charges a ₹200 joining fee plus ₹50 per match, the total cost for 'm' matches is 200 + 50m. For every additional match, the cost increases by exactly ₹50.

This constant difference defines a linear relationship. Whether it is the perimeter of a square (4x) or a taxi fare, if the rate of change remains the same, the underlying expression is a linear polynomial. In the specific case of a square with perimeter P = 4x, if the side x increases by 0.5 cm, the perimeter increases by 4 * 0.5 = 2 cm.

Matches (m)1234
Cost (₹)250300350400
Difference—505050

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If a player paid ₹750 for the chess club (200 + 50m), how many matches did they play?

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NCERT reference: chapter PDF pages 4, 5.

Polynomials as Input-Output Processes

Polynomials can be viewed as machines that take an input value and produce a specific output.

When we substitute a specific value for the variable in a polynomial, we calculate the value of the polynomial at that point. This is often called a function. For the linear polynomial 2x + 3, if we provide an input of x = 4, the output is 2(4) + 3 = 11. If x = -6, the output is 2(-6) + 3 = -9.

This process applies to polynomials of any degree. For a quadratic polynomial like 10x - x², if x = 6, the value is 10(6) - (6)² = 60 - 36 = 24. Evaluating these expressions is essential for solving real-world problems involving ages, dimensions, or finances.

The Function Machine

  1. 1

    Input (x)

    A value is chosen for the variable, e.g., x = 4.

  2. 2

    Process (2x + 3)

    The variable is multiplied by 2 and 3 is added.

  3. 3

    Output (y)

    The resulting value is produced, e.g., y = 11.

A linear polynomial acts as a function where every input x results in a unique output y.

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Find the value of 5x - 3 when x = -1.

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NCERT reference: chapter PDF pages 5, 6.

The rest of this chapter

Keep reading Introduction to Linear Polynomials, free

  1. Locked: 1. Linear Growth and Linear Decay
  2. Locked: 2. Finding Linear Relationships
  3. Locked: 3. Visualising Linear Relationships
  4. Locked: 4. Slope and Y-Intercept

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