Order and degree of differential equations
Look at any differential equation and two numbers instantly tell you what kind of beast it is: its order and its degree. Order says which derivative is the highest one present — first, second, third. Degree says the power that highest derivative is raised to, but only once the equation has been tidied into a polynomial in its derivatives. This sounds like bookkeeping, and mostly it is, but it is essential bookkeeping: every solving method later in the chapter — variables separable, homogeneous, linear — applies only to first-order, first-degree equations. Get the order or degree wrong and you reach for the wrong tool. This article builds the rule for reading off both numbers correctly, including the one trap that catches almost everyone: degree is not always defined.
The order of a differential equation is the index of its highest derivative, while the degree is the power of that highest derivative once the equation is rewritten as a polynomial in all its derivatives — and if it cannot be so rewritten, the degree simply does not exist.
The core idea
Order is read straight off the equation: find the highest derivative that appears, and its order (first, second, ...) is the order of the equation.
where: is the first derivative of with respect to , and is the second derivative; the order is simply the largest such index occurring anywhere in the equation.
Degree is stricter. It exists only when the equation, after clearing radicals and derivative-fractions, is a polynomial equation in its derivatives — no derivative may sit inside a square root, inside a fraction whose denominator contains a derivative, or inside a transcendental function such as , , or . When that condition holds, the degree is the exponent on the highest-order derivative.
where: the highest-order derivative here is , appearing to the power ; the lower-order term does not affect the degree at all — only the highest-order derivative's exponent counts. If the highest-order derivative is trapped under a radical or inside a non-polynomial function, and no valid rearrangement removes that trap, the degree is not defined — even though the order can still be stated with confidence. A frequent first move is to square both sides to clear a square root; this is legitimate only when doing so actually produces a genuine polynomial in the derivatives.
Why it works
The definition of degree is deliberately tied to "polynomial in the derivatives" rather than to the equation's appearance, and the reason repays a moment's thought — it is why a square root sometimes matters and sometimes does not, and why the syllabus insists on checking before assigning a number.
Step 1. A polynomial in a variable has the form , with only non-negative integer powers of . The "degree" of that polynomial in is the largest exponent, . Differential equations borrow this exact idea, treating the highest-order derivative as the variable whose degree we want.
Step 2. If a derivative sits inside , inside , or , or in the denominator of a fraction, the expression is no longer a polynomial in that derivative — it has, in effect, a fractional, transcendental, or negative "power," none of which a polynomial's degree can describe. So the concept of degree simply has nothing to attach to, and it is left undefined rather than forced.
Step 3. Some radicals are removable: if only a lower-order derivative sits under the root, squaring both sides can produce an equation that genuinely is a polynomial once written out — in that case the trap was cosmetic, and after squaring the degree becomes well defined and is read off the resulting exponent of the highest-order derivative.
Step 4. Other radicals are not removable in this useful sense — if the highest-order derivative itself sits under a root together with other terms that will not clear by a single squaring, or if a transcendental function wraps a derivative, no amount of algebra turns the equation into a polynomial. The degree stays undefined, and the order alone still fully describes "how many times you'd differentiate" to reach that term.
Worked example
Find the order and degree of .
Step 1. Locate every derivative present. The equation contains , of order , and , of order . The highest order occurring anywhere is , so the order is .
Step 2. Check which derivative sits under the radical. It is only — the lower-order derivative — that is trapped under the square root; the highest-order derivative stands outside it, already polynomial.
Step 3. Since only a lower-order term is under the root, squaring both sides is a valid, degree-preserving move: Both sides are now free of radicals, and every derivative appears with a non-negative integer power — the equation is a polynomial in its derivatives.
Step 4. Read the exponent on the highest-order derivative. is raised to the power . The order is and the degree is .
Competitive stretch
Contrast this with . The highest-order derivative is again , so the order is still . But here the trigonometric term wraps a derivative in a transcendental function, and no algebraic step removes it. The equation is not a polynomial in its derivatives, so the degree is not defined, even though the order is a clean . The two examples together show order and degree are genuinely independent readings of the same equation.
Common traps
- Treating order and degree as the same question. Order asks "which derivative is highest" (a position question); degree asks "what power is that highest derivative raised to, once the equation is polynomial" (an exponent question). A low-order equation can have a high degree, and vice versa.
- Forcing a degree onto an equation that has none. If the highest-order derivative sits under a root, in a denominator, or inside , or , with no way to clear it, the degree is undefined — writing down a number anyway is the single most common CBSE mistake here.
- Squaring carelessly. Radicals must be cleared before the degree is read, but only clearing the derivative that was actually under the root is valid; squaring unrelated terms too, or losing track of which derivative is now highest, gives a wrong degree.
- Missing a lower-order derivative trapped in a transcendental function. Even if the highest-order derivative itself is perfectly polynomial, a lower-order derivative sitting inside , , , or similar still makes the whole equation fail the "polynomial in its derivatives" test, so the degree remains undefined.
Ask the tutor: if you are unsure whether an equation's degree is defined, ask your AI tutor to check with you whether it is a genuine polynomial in its derivatives before assigning a number.
If squaring removes a square root, is the degree always defined after that?
Not automatically — it depends on what was under the root. If only a lower-order derivative was inside the radical, squaring turns the whole equation into a genuine polynomial in the derivatives, and the degree is then the power of the highest-order derivative. But if the radical wraps the highest-order derivative together with terms that will not clear in one step, or if a transcendental function like sine or log is also present, squaring alone will not produce a polynomial, and the degree stays undefined. Always check the result is truly polynomial before reading off an exponent.
Why does CBSE only ask us to solve first-order, first-degree equations if higher orders and degrees exist?
Because the solving techniques taught in this chapter — variables separable, homogeneous equations, and linear equations — are built specifically for equations of order one and degree one. Higher-order or higher-degree equations need more advanced methods (such as those using auxiliary equations or series solutions) that lie beyond the Class 12 syllabus. Order and degree still get tested as a classification skill, using equations of any order or degree, precisely so you can recognise which equations are within your solving toolkit and which are not.
Can an equation have order 1 but a very high degree, or order 3 but degree 1?
Yes, and this is exactly why the two must be checked separately. An equation like has order (only a first derivative appears) but degree (that first derivative is raised to the fifth power). Conversely, has order but degree , since the highest-order derivative appears only to the first power. Order counts "how many times differentiated"; degree counts "what power once polynomial" — they can take any combination of values independently.