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Tamil Nadu Board of Secondary EducationSSLC (English Medium) Class 9

Revision: Algebra Mathematics SSLC (English Medium) Class 9 Tamil Nadu Board of Secondary Education

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Definitions [15]

Definition: Degree

The degree of a polynomial is simply the highest exponent (power) in the expression.

Example 1: 4x² - 3x⁵ + 8x⁶

  • Term 1: 4x² → exponent = 2
  • Term 2: -3x⁵ → exponent = 5
  • Term 3: 8x⁶ → exponent = 6
  • Degree = 6 (highest exponent)

Example 2: 25 - x⁴

  • Term 1: 25 → exponent = 0 (since 25 = 25x⁰)
  • Term 2: -x⁴ → exponent = 4
  • Degree = 4
Definition: Polynomial in One Variable

When an algebraic expression is made of only one variable, it is called a polynomial in one variable.

Examples of Polynomials in One Variable:

Polynomial Variable Why it’s a polynomial
3 + 5x − 7x2 x All exponents (0, 1, 2) are whole numbers
9y3 − 5y2 + 8 y All exponents (3, 2, 0) are whole numbers
z4 + z - 1 z All exponents (4, 1, 0) are whole numbers
Definition: Polynomial

A polynomial is an algebraic expression made up of terms in which the variables have non‑negative whole-number exponents.

Definition: Degree of Polynomial

The highest power of the variable in a polynomial is called its degree.

Definition: Zeroes of a Polynomial

A real number k is a zero of p(x) if p(k) = 0.

Definition: Zeroes of a Polynomial

A real number k is a zero of p(x) if p(k) = 0.

Definition: Factors of Polynomial

A polynomial g(x) is called a factor of the polynomial f(x) if g(x) divides f(x) exactly, giving 0 as the remainder.

Identity: An identity is an equality, which is true for all values of the variables in equality.

Definition: HCF

The HCF (Highest Common Factor) of two or more numbers is the highest number among all the common factors of the given numbers.

Definition: Linear Inequations in One Variables

A linear inequality or inequation, which has only one variable, is called a linear inequality or inequation in one variable.

e.g. ax + b < 0, where a ≠ 0, 3x + 4 > 0

Definition: Linear Inequations

An inequality or inequation is said to be linear if each variable occurs in the first degree only and there is no term involving the product of the variables.

e.g. ax + b ≤ 0, ax + by + c > 0, x ≤ 4

Definition: Convex Set

A set of points in a plane is called a convex set if the line segment joining any two points in the set lies entirely within the set.

Definition: Linear Inequations in Two Variables

An equation which contains two variables and the degree of each term containing a variable is one is called a linear equation in two variables.  

General Form:

ax + by + c = 0 

Definition: Non-Convex Set

If the line segment joining any two points in the set does not completely lie in the set, then it is a non-convex set.

Definition: Zeroes of a Polynomial

A real number k is a zero of p(x) if p(k) = 0.

Formulae [13]

Formula: Zero of a Linear Polynomial

For

p(x) = ax + b

Zero:

Formula: Zero of a Linear Polynomial

For

p(x) = ax + b

Zero:

(a + b)2 = a2 + 2ab + b2

(a - b)2 = a2 - 2ab + b2.

(a + b)(a - b) = a2 - b2

  • (x + a)(x + b) = x2 + (a + b)x + ab
  • (a + b + c)2 = a2 + b2 + c2 + 2ab + 2bc + 2ac.
  • (a + b)3 = a3 + 3a2b + 3ab2 + b3.
  • (a - b)3 = a3 - 3a2b + 3ab2 - b3.
  • (a + b)2 = a2 + 2ab + b2
  • (a - b)2 = a2 - 2ab + b2
  • (a + b)(a - b) = a2 - b2
  • a+ b3 = ( a + b )(a2 - ab + b2)
  • a3 - b3 = ( a - b )( a+ ab + b2)
Formula: Zero of a Linear Polynomial

For

p(x) = ax + b

Zero:

Theorems and Laws [1]

Theorem :If p(x) is a polynomial of degree `n >= 1` and a is any real number, then
(i) x – a is a factor of p(x), if p(a) = 0, and 
(ii) p(a) = 0, if x – a is a factor of p(x).

Proof:  By the Remainder Theorem, p(x)=(x – a) q(x) + p(a).

(i) If p(a) = 0, then p(x) = (x – a) q(x), which shows that x – a is a factor of p(x).

(ii) Since x – a is a factor of p(x), p(x) = (x – a) g(x) for same polynomial g(x).
In this case, p(a) = (a – a) g(a) = 0.

Key Points

Key Points: General form

Quadratic polynomial

ax2 + bx + c

Cubic polynomial

ax3 + bx2 + cx + d

Key Points: Remainder Theorem

Statement:
If a polynomial f(x) is divided by (x − a), then the remainder is f(a).

Result:
Remainder = f(a)

Key Points: Factor Theorem

Statement

If a polynomial f(x) is divided by (x − a) and the remainder is zero, then (x − a) is a factor of f(x).

Result

(x − a) is a factor of f(x)  ⟺  f(a) = 0

To check whether (x − a) is a factor → find f(a)

  • If f(a) = 0 → factor

  • If f(a) ≠ 0 → not a factor

Important Forms

  • (x − a) is a factor ⇔ f(a) = 0
  • (x + a) is a factor ⇔ f(−a) = 0

  • (ax + b) is a factor ⇔ \[f(-\frac{b}{a})\] = 0
Key Points: Division Algorithm for Polynomials

Statement:
On dividing a polynomial f(x)by a polynomial g(x), there exist polynomials q(x) and r(x) such that

f(x) = g(x)q(x) + r(x)

where either r(x) = 0 or degree of r(x) < degree of g(x)

Result:
degree of r(x) < degree of g(x)

Key Points: Simultaneous Linear Equations

Simultaneous Linear Equations: Two linear equations solved together.

Elimination method:

  1. Make the coefficients equal
  2. Add/subtract 
  3. Find one variable
  4. Substitute to get the other.

Substitution method:

  1. Express one variable in terms of the other, 
  2. Substitute 
  3. Solve 
  4. Substitute back.
Key Points: Graphical Method
Condition Nature of Lines Number of Solutions Type of Pair
\[\frac{a_1}{a_2}\neq\frac{b_1}{b_2}\] Intersecting One (unique) solution Consistent
\[\frac{a_1}{a_2}=\frac{b_1}{b_2}\neq\frac{c_1}{c_2}\] Parallel No solution Inconsistent
\[\frac{a_1}{a_2}=\frac{b_1}{b_2}=\frac{c_1}{c_2}\] Coincident Infinitely many solutions Dependent (consistent)

Concepts [43]

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