गुणकसमुच्चयः
Guṇakasamuccayaḥ
"The factors of the sum is the sum of the factors"
What this sutra solves
Confirm a factorization is correct without expanding it out.
You claim (x+2)(x+3) factors x² + 5x + 6 and want a fast confidence check.
Test x = 1: factor side = 12, polynomial side = 12. They agree, so it holds.
Guṇakasamuccayaḥ: "the product of the sums equals the sum of the products." A true factorization is an identity — so it must hold for ANY value of x.
Did we factor correctly?
Guṇakasamuccayaḥ: "the product of the sums equals the sum of the products." A true factorization is an identity — so it must hold for ANY value of x.
⚡ Speed Advantage
See how few steps Vedic method needs!
Best for
- • Verifying polynomial factorizations
Use when
- • After factoring a polynomial — verify the result
Avoid when
- • Primary computation
Intuition
The factors of an expression when evaluated at a value equal the expression's value — use this to verify factorizations.
Story Mode
The Factor Test
A factorization claims a polynomial splits into pieces. The ancient test: evaluate both the original and the product of factors at any point. They must agree. This is the digital fingerprint principle applied to algebra — a one-step sanity check on any factored form.
Vedic vs conventional
multiply out factors and compare — many steps.
evaluate at a test point — 1 step per factor.
Applications
Verifying polynomial factorizations
Confirm that a factorization is correct by evaluating at test values.
Common Mistakes to Avoid
Verifying at only a convenient root
Wrong approach
Correct approach
Why this happens
💡 Students choose the easiest substitution without asking whether it actually tests the factor structure.
Treating a passed test as a complete proof
Wrong approach
Correct approach
Why this happens
💡 The verification shortcut is mistaken for a full symbolic identity proof.
Why It Works
A claimed factorization is an identity:
Evaluate both sides at a simple test value:
A mismatch disproves the factorization immediately:
This is a fast error check. Full proof still requires expansion or enough coefficient comparison.
If , then and . Evaluating the factors and the original polynomial at any value provides a consistency check on the factorization.