The principle behind factorising out terms is the distributive property of multiplication over addition (or subtraction). This property states that . Factorisation reverses this, starting from and arriving at .
When we factorise an expression like , we are essentially recognizing that the common factor has been distributed across and . By extracting , we are undoing this distribution, grouping the remaining terms and inside a bracket. This demonstrates that the original expression is equivalent to the product of the common factor and the sum of the remaining terms.
This method relies on the fact that any term can be expressed as a product of its factors. By finding the largest common set of factors shared by all terms, we can effectively "pull out" this common part, simplifying the expression while maintaining its mathematical equivalence.
Step 1: Identify the HCF of numerical coefficients. Begin by finding the greatest common divisor (GCD) of all the constant numbers in each term. For example, in , the HCF of 12 and 18 is 6.
Step 2: Identify the HCF of algebraic parts. For each variable present in all terms, determine the lowest power to which it is raised across those terms. This lowest power represents the common factor for that variable. For instance, in , the HCF of and is .
Step 3: Combine to form the overall HCF. Multiply the numerical HCF from Step 1 and all algebraic HCFs from Step 2. This combined product is the complete Highest Common Factor of the entire expression. For , the overall HCF is .
Step 4: Divide each term by the overall HCF. Write the overall HCF outside a set of brackets. Then, for each original term in the expression, divide it by the overall HCF and place the result inside the brackets. For example, and , leading to .
A common mistake is not factorising fully, meaning a common factor might still remain inside the bracket. For example, factorising as is incorrect and incomplete; the correct full factorisation is . Always ensure the terms inside the bracket have no further common factors.
Sign errors are frequent, especially when dealing with negative terms. When a negative HCF is extracted, or when dividing a negative term by a positive HCF, careful attention must be paid to the signs of the terms remaining inside the bracket. For instance, factorising as is incorrect; it should be .
Another error involves incorrectly handling variable powers. When finding the HCF of variables, always choose the lowest power present in all terms. For example, the HCF of and is , not or . Failing to do so will result in an incomplete or incorrect factorisation.
Always check your answer by expanding the brackets. After factorising, mentally or physically multiply out the factors to ensure you arrive back at the original expression. This simple verification step can catch most errors, especially those related to signs or incomplete factorisation.
Pay close attention to the instruction "factorise fully." This explicitly requires you to extract the highest common factor, not just any common factor. If you leave a common factor inside the bracket, you will lose marks.
When dealing with expressions containing multiple variables or higher powers, systematically find the HCF for numbers, then for each variable individually. This methodical approach helps prevent overlooking common factors and ensures accuracy.
Factorising out terms is a foundational skill for simplifying algebraic fractions. By factorising the numerator and denominator, common factors can be cancelled, leading to a simpler equivalent fraction. This is analogous to simplifying numerical fractions like to .
This technique is often the first step in solving polynomial equations by factorisation. If an equation can be factorised to , then either or , allowing for solutions to be found. For example, becomes , leading to or .
It serves as a prerequisite for more advanced factorisation methods, such as factorising quadratics (where a common factor might be extracted first to simplify the quadratic) and factorising by grouping. Mastering this basic skill is essential for tackling complex algebraic manipulations.