Higher Order derivative representation

In summary: The successive tangent curves will eventually touch the function f(x) curve at some nth order of the derivative.
  • #1
pari777
12
0
Hi everybody, I have a question:
We know that the geometrical representation of 1st order derivative is the slope of a function. Then what is the geometrical representation of derivatives having order more than 1? I mean what does it actually represent in a function? Please some body clear my doubt.
 
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  • #2
The geometric interpretation of the second derivative can be convexity at that point, but I have no clue about higher derivatives.
 
  • #3
ummmm...what's convexity at a point?
 
  • #4
Convexity of a shape is that it should not have a "dent" , e.g., a circle or regular polygons are convex figures. The general idea is that for any two points that lie in the set (or "shape") the line segment that joins the two points should also be in the set.

For functions this means that if a function is "concave up" or "convex" then the the line segment joining any two points [itex](a,f(a))[/itex] and [itex](b, f(x))[/itex], on the graph of [itex]f(x)[/itex] must lie at or above the points of the graph that are between [itex](a,f(a))[/itex] and [itex](b, f(b))[/itex]. Roughly there should be a "trough" between the two points on the graph. For concave function the opposite is true, with the "trough" replaced by crest.

Mathematically the condition is given by:

[itex]f(x_1 t + (1-t)x_2) \leq f(x_1) t +(1-t)f(x_2) \, for \, x_1 \, and \, x_2 \in Domain(f) \, and \, t \in [0, 1][/itex]
 
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  • #5
ok, thanks to both of you.
but tell me , why it is only convexity and not concavity for 2nd order derivative.
 
  • #6
Either one. The "concavity" of a curve is just the negative of the "convexity".
 
  • #7
ok. thanks.
But what about the other higher derivatives?
 
  • #8
pari777 said:
Hi everybody, I have a question:
We know that the geometrical representation of 1st order derivative is the slope of a function. Then what is the geometrical representation of derivatives having order more than 1? I mean what does it actually represent in a function? Please some body clear my doubt.

Consider the graphical representation of a function f(x) around the point (x0, y0) where y0=f(x0)
Series expansion of f(x) around (x0,y0) is :
y(x) = y0 + (x-x0)f'(x0) + (1/2)(x-x0)²f''(x0) + (1/6)(x-x0)^3 f'''(x0) +...

The first derivative of f(x) allows to draw the straight line tangent to the curve, which equation is : y(x) = y0 + (x-x0)f'(x0)
y = a x +b where the slope is a = f'(x0) and b = y0 -x0 f'(x0)

The second derivative of f(x) allows to draw a circle tangent to the curve, called osculating circle, which equation is : y(x) = y0 + (x-x0)f'(x0) + (1/2)(x-x0)²f''(x0)
The radius is related to what is called "curvature" (with sign + or- depending on the position of the circle relatively to the curve)

The third derivative allows to draw a cubic curve tangent to the curve f(x). The equation of the cubic curve is : y(x) = y0 + (x-x0)f'(x0) + (1/2)(x-x0)²f''(x0) + (1/6)(x-x0)^3 f'''(x0)

The next derivative allows to draw a cartic curve tangent to f(x). The equation of the quartic includes the next term of the series : +(1/4!)(x-x0)^4f''''(x0)

And so on... That way, the successive derivatives and the related tangent curves (straight line, then circle, then cubic curve, then quartic curve, etc...) are closer and closer to the f(x) curve.
 
  • #9
the above series is Taylor series, isn't it?
you mean derivatives depend on this series? Like when the order is 2, we have 2 terms from taylor's series. When it is of order 3, we have 3 terms of taylor series and likewise?
 
  • #10
JJacquelin said:
And so on... That way, the successive derivatives and the related tangent curves (straight line, then circle, then cubic curve, then quartic curve, etc...) are closer and closer to the f(x) curve.

will these successive tangent curves touch the function f(x) curve at some nth order of the derivative or will they tend to touch but will actually never touch the f(x) curve?
 

What is a higher order derivative representation?

A higher order derivative representation is a mathematical concept that involves taking the derivative of a function multiple times. It is used to describe the rate of change of a function at a specific point, and can be found by using the power rule or chain rule.

Why are higher order derivative representations important?

Higher order derivative representations are important because they provide more detailed information about the behavior of a function. They can help determine the concavity of a function, identify inflection points, and provide more precise information about the rate of change at a given point.

What is the difference between first and second order derivative representations?

The first order derivative representation, also known as the first derivative, describes the slope of a function at a specific point. The second order derivative representation, or second derivative, describes the rate of change of the first derivative at a specific point. In other words, the second derivative measures how the slope is changing at a given point.

How are higher order derivative representations used in real life?

Higher order derivative representations have many applications in real life, especially in fields such as physics, engineering, and economics. For example, in physics, the second derivative can be used to determine the acceleration of an object in motion. In economics, the second derivative can be used to analyze the rate of change of a company's revenue or profit.

What are some common mistakes when representing higher order derivatives?

One common mistake when representing higher order derivatives is not properly using the chain rule. Another mistake is forgetting to simplify the expression after taking the derivative. It is also important to pay attention to the order of operations when taking higher order derivatives. Finally, it is important to check for any potential errors or typos in the calculations.

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