

What are Second Order Derivatives?
Before knowing what a second-order derivative is, let us first know what a derivative meAns: Basically, a derivative provides you with the slope of a function at any point. The derivative of the first derivative of a function is known as the second-order derivative. The slope of the tangent at a given location, or the instantaneous rate of change of a function at that position, is determined by the first-order derivative at that point. Second-Order Derivative offers us an understanding of the shape of a function's graph. The second derivative of the function f(x) is commonly abbreviated as f" (x). If y = f, it is sometimes expressed as D2y or y2 or y" (x).
Let's say y = f. (x)
dy/dx = f' then (x)
If f'(x) is differentiable, we can differentiate it with respect to 'x' once more. The left-hand side thus becomes d/dx(dy/dx), often known as the second-order derivative of y w.r.t x.
Now, what is a second-order derivative? A second-order derivative is a derivative of the derivative of a function. It is drawn from the first-order derivative. So we first find the derivative of a function and then draw out the derivative of the first derivative. A first-order derivative can be written as f’(x) or dy/dx whereas the second-order derivative can be written as f’’(x) or d²y/dx²
A second-order derivative can be used to determine the concavity and inflection points.
Concavity
Concave Up: The second derivative of a function is said to be concave up or simply concave, at a point (c,f(c)) if the derivative (d²f/dx²)x=c >0. In such a case, the points of the function neighboring c will lie above the straight line on the graph which will be tangent at the point (c, f(c)). Here is a figure to help you to understand better.
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Concave Down: Concave down or simply convex is said to be the function if the derivative (d 2 f/dx²)x=c at a point (c,f(c)). In such a case, the points of the function neighboring c will lie below the straight line on the graph which is tangent at the point (c,f(c)). Here is a figure to help you to understand better.
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Point of Inflection
The point of inflection can be described as a point on the graph of the function where the graph changes from either concave up to concave down or concave down to concave up. The sigh of the second-order derivative at this point is also changed from positive to negative or from negative to positive. The second-order derivative of the function is also considered 0 at this point.
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Second-Order Derivative Examples
Question 1) If f(x) = sin3x cos4x, find f’’(x). Hence, show that, f’’(π/2) = 25.
Solution 1) We have,
f(x) = sin3x cos4x or, f(x) = \[\frac{1}{2}\] . 2sin3x cos4x = \[\frac{1}{2}\](sin7x-sinx)
Differentiating two times successively w.r.t. x we get,
f’(x) = \[\frac{1}{2}\] [cos7x . [\frac{d}{dx}]7x-cosx] = \[\frac{1}{2}\] [7cos7x-cosx]
And f’’(x) = \[\frac{1}{2}\] \[[7(-sin7x)\frac{d}{dx}7x-(-sinx)]\] = \[\frac{1}{2}\] [-49sin7x+sinx]
Therefore,f’’(π/2) = \[\frac{1}{2}\] [-49sin(7 . π/2)+sin π/2] = \[\frac{1}{2}\] [-49 . (-1)+1]
[sin7 . π/2 = sin(7.π/2+0) = - cos0= -1]
= \[\frac{1}{2}\] x 50 = 25(Proved)
Question 2) If y = \[tan^{-1}\] (\[\frac{x}{a}\]), find y₂.
Solution 2) We have, y = \[tan^{-1}\] (\[\frac{x}{a}\])
Differentiating two times successively w.r.t. x we get,
y₁ = \[\frac{d}{dx}\] (\[tan^{-1}\] (\[\frac{x}{a}\])) = \[\frac{1}{1+x²/a²}\] . \[\frac{d}{dx}\](\[\frac{x}{a}\]) = \[\frac{a²}{x²+a²}\] . \[\frac{1}{a}\] = \[\frac{a}{x²+a²}\]
And, y₂ = \[\frac{d}{dx}\] \[\frac{a}{x²+a²}\] = a . \[\frac{d}{dx}\] (x²+a²)-1 = a . (-1)(x²+a²)-2 . \[\frac{d}{dx}\] (x²+a²)
= \[\frac{-a}{ (x²+a²)²}\] . 2x = \[\frac{-2ax}{ (x²+a²)²}\]
Question 3) If y = \[e^{2x}\] sin3x,find y’’.
Solution 3) We have, y = \[e^{2x}\]sin3x
Differentiating two times successively w.r.t. x we get,
y’ = \[\frac{d}{dx}\](\[e^{2x}\]sin3x) = \[e^{2x}\] . \[\frac{d}{dx}\]sin3x + sin3x . \[\frac{d}{dx}\] \[e^{2x}\]
Or,
y’ = \[e^{2x}\] . (cos3x) . 3 + sin3x . \[e^{2x}\] . 2 = \[e^{2x}\] (3cos3x + 2sin3x)
And
y’’ = \[e^{2x}\]\[\frac{d}{dx}\](3cos3x + 2sin3x) + (3cos3x + 2sin3x)\[\frac{d}{dx}\] \[e^{2x}\]
= \[e^{2x}\][3.(-sin3x) . 3 + 2(cos3x) . 3] + (3cos3x + 2sin3x) . \[e^{2x}\] . 2
= \[e^{2x}\](-9sin3x + 6cos3x + 6cos3x + 4sin3x) = \[e^{2x}\](12cos3x - 5sin3x)
Question 4) If y = acos(log x) + bsin(log x), show that,
x²\[\frac{d²y}{dx²}\] + x \[\frac{dy}{dx}\] + y = 0
Solution 4) We have, y = a cos(log x) + b sin(log x)
Differentiating both sides of (1) w.r.t. x we get,
\[\frac{dy}{dx}\] = - a sin(log x) . \[\frac{1}{x}\] + b cos(log x) . \[\frac{1}{x}\]
Or,
x\[\frac{dy}{dx}\] = -a sin (log x) + b cos(log x)
Differentiating both sides of (2) w.r.t. x we get,
x . \[\frac{d²y}{dx²}\] + \[\frac{dy}{dx}\] . 1 = - a cos(log x) . \[\frac{1}{x}\] - b sin(log x) . \[\frac{1}{x}\]
Or,
x²\[\frac{d²y}{dx²}\] + x\[\frac{dy}{dx}\] = -[a cos(log x) + b sin(log x)]
Or,
x²\[\frac{d²y}{dx²}\] + x\[\frac{dy}{dx}\] = -y[using(1)]
Or,
x²\[\frac{d²y}{dx²}\] + x\[\frac{dy}{dx}\] + y = 0 (Proved)
Question 5) If y = \[\frac{1}{1+x+x²+x³}\], then find the values of
\[\frac{dy}{dx}\]x = 0 and \[\frac{d²y}{dx²}\]x = 0
Solution 5) We have, y = \[\frac{1}{1+x+x²+x³}\]
Or,
y = \[\frac{x-1}{(x-1)(x³+x²+x+1)}\] [assuming x ≠ 1]
= \[\frac{x-1}{(x⁴-1)}\]
Differentiating two times successively w.r.t. x we get,
\[\frac{dy}{dx}\] = \[\frac{(x⁴-1).1-(x-1).4x³}{(x⁴-1)²}\] = \[\frac{(-3x⁴+4x³-1)}{(x⁴-1)²}\].....(1)
And,
\[\frac{d²y}{dx²}\] = \[\frac{(x⁴-1)²(-12x³+12x²)-(-3x⁴+4x³-1)2(x⁴-1).4x³}{(x⁴-1)⁴}\].....(2)
Putting x = 0 in (1) and (2) we get,
\[\frac{dy}{dx}\] x = 0 = \[\frac{-1}{(-1)²}\] = 1 and \[\frac{d²y}{dx²}\] x = 0 = \[\frac{(-1)².0 - 0}{(-1)⁴}\] = 0
Second-Order Derivatives of a Parametric Function
We utilize the chain rule twice to determine the second derivative of the function in parametric form. To determine the second derivative, first, find the first derivative's derivative with respect to t, then divide by the derivative of x with respect to t. If x = x(t) and y = y(t), then the second-order parametric form is:
\[\frac{dy}{dx}\] = \[\frac{(dy/dt)}{(dx/dt)}\] is the first derivative.
\[\frac{d^{2}y}{dx^{2}}\] = \[\frac{d}{dx (dy/dx)}\] is the second derivative.
\[\frac{(dy/dx)}{ (dx/dt)}\] =\[\frac{ d}{dt} \frac{ (dy/dx)}{ (dx/dt)}\]
Note: The formula \[\frac{d^{2}y}{dx^{2}}\] = \[\frac{(d^{2}y/dt^{2})}{(d^{2}x/dt^{2})}\] is completely incorrect.
The local maximum or lowest inflection point values are determined by a function's second derivative. These can be recognised using the following criteria:
The function f(x) has a local maximum at x if f"(x) < 0.
The function f(x) has a local minimum at x if f"(x) > 0.
If f"(x) = 0, it is impossible to draw any conclusions about the point x.
You can solve the following second-order differential equation:
P(x)dy/dx + Q(x)y = f d2y/dx2 + P(x)dy/dx + Q(x)y = f (x)
P(x), Q(x), and f(x) are functions of x, and they are calculated using:
Inconclusive If f(x) is a polynomial, exponential, sine, cosine, or a linear mix of these, it will only work.
Parameter variation, which is a little messier but works on a broader range of functions.
However, let's start with the scenario where f(x) = 0 (which makes it "homogeneous"):
Allow f(x) to be a differentiable function in a convenient interval.
The graph of f(x) can then be classified as:
Concave Up
At the point (c, f(c), the function is said to be Concave Up, or simply Concave, if the derivative (d2f/dx2)x=c>0. The points on the graph of the function in the vicinity of c lie above the straight line that is tangent at the point (c, f(c) in this example.
Concave Downward
At the point (c, f(c), the function is said to be Concave Down, or simply Convex, if the derivative (d2f/dx2)x=c0. The points on the graph of the function in the vicinity of c are below the straight line that is tangent at the point (c, f(c) in this case.
The function rises at the point (c, f(c) if the derivative (df/dx)x=c>0.
You also need to know how the derivative of a function changes when x varies. The function is considered to be Concave Up if the derivative acts as an increasing function, i.e. d/dx(df/dx)>0. The function is considered to be Concave Down if the derivative acts like a declining function, i.e. d/dx(df/dx)<0. As a result, the second derivative's value is critical in establishing the shape of the function's graph.
The second-order derivative at a given position (c, f(c) is computed if f'(x) = 0 at that point. It is a Local Minimum if f"(x) > 0 at that point, and it is a Local Maximum if f"(x) < 0 at that location. Higher-order derivatives or other methods of determination are required if f"(x) = 0.
FAQs on Second-Order Derivative
1. What is the second-order derivative and why is it important in calculus?
The second-order derivative of a function measures how the rate of change (slope) of the function itself is changing. It is crucial in calculus because it helps determine the concavity of a graph, indicates points of inflection, and is used to analyze acceleration in physical problems. Understanding the second-order derivative allows you to identify local maxima, minima, and the general shape of the function.
2. How do you find the second-order derivative of a function step by step?
To find the second-order derivative of a function f(x):
- First, compute the first derivative, noted as f'(x) or dy/dx.
- Then, differentiate f'(x) again with respect to x to get the second-order derivative, noted as f''(x) or d2y/dx2.
This process applies standard differentiation rules such as the product, quotient, or chain rule in each step as per the function's form.
3. What does the sign of the second-order derivative tell you about a function’s graph?
The sign of the second-order derivative indicates the concavity of the graph:
- If f''(x) > 0, the graph is concave up at that point (shaped like a U).
- If f''(x) < 0, it's concave down (shaped like an upside-down U).
- If f''(x) = 0, the point may be an inflection point where the concavity changes.
4. How can you use the second-order derivative to determine local maxima and minima in a function?
To determine local maxima or minima:
- Find points where the first derivative is zero (f'(x) = 0); these are critical points.
- Evaluate the second-order derivative at these points:
- If f''(x) > 0 at a critical point, it's a local minimum.
- If f''(x) < 0, it's a local maximum.
- If f''(x) = 0, the test is inconclusive, and further analysis is needed.
5. What is a point of inflection and how does the second-order derivative help to find it?
A point of inflection is a point on the graph of a function where the concavity changes—from concave up to concave down or vice versa. To find it, solve f''(x) = 0 and check if the concavity actually changes on either side of the point.
6. Can the second-order derivative be applied to parametric and implicit functions?
Yes, second-order derivatives can be calculated for parametric and implicit functions. For parametric equations (x = x(t), y = y(t)), first derivatives are taken with respect to t, and the second-order derivative is found using chain rule formulas. For implicit differentiation, after getting dy/dx, differentiate again with respect to x, following implicit differentiation rules.
7. Is the second-order derivative related to acceleration in physics?
In physics, if position s(t) is a function of time t, the first derivative represents velocity, and the second-order derivative of position (d2s/dt2) gives acceleration. Thus, acceleration is mathematically the second-order derivative of displacement with respect to time.
8. What are common mistakes students make when solving second-order derivatives?
Common mistakes include:
- Not differentiating the first derivative correctly, especially in product or chain rule cases.
- Forgetting to apply the appropriate rule when differentiating complex functions.
- Missing negative signs or misapplying power rules.
- Confusing between the first and second derivative operations.
9. Why is it important to check concavity and not just rely on the zero of the second-order derivative?
When f''(x) = 0, it does not always guarantee a point of inflection. It's vital to check concavity on both sides of the point; only if the sign of f''(x) changes, does the point represent an inflection. Otherwise, it could be a plateau, cusp, or higher-order stationary point.
10. How can mastering second-order derivatives help with solving differential equations and mathematical modeling?
Second-order derivatives are essential in solving differential equations common in physics, engineering, and economics. Many classical systems—such as oscillations, motion, and waves—are modeled by equations involving second derivatives. Understanding these enables students to interpret, solve, and apply mathematical models effectively.





