Why do we need upper and lower limits in definite integration?

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In summary, the need for both upper and lower while calculating definite integrals arises because differentiation is related to slope, while integration is related to area. The Fundamental Theorem of Calculus is useful because it allows us to associate a value to a function and interval and differentiate.
  • #1
san203
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My question is that why is their a need for both upper and lower while calculating Definite Integrals.

The question arose when i thought of Definite integration as something related to Differentiation. Or is it that only Indefinite Integration is directly related to differentiation.

In differentiation, we get the slope or rate of change.

So if i differentiate s(displacement) w.r.t. t(time), i get ds/dt = v(Velocity). By putting just one value of t, i get a value of velocity at that instant.

But to get back that one value of s(displacement), why do we need two values of t(time)?
 
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  • #2
Integration is obviously related to differentiation, both definite and indefinite ones. However, the inverse of differentiation is indefinite integration. Definite integration is an infinite sum of infinitely small things that just so happens to be computed using antiderivatives, see the Fundamental Theorem of Calculus. We need limits to determine over what interval we are going to perform the sum on.
 
  • #3
What, exactly, is your understanding of the derivative and integral? Most texts introduce the derivative as "slope" of the curve (actually slope of the tangent line) at a given point, integral as area under a curve. "At a given point" is necessarily a single value of x while "area" has to have bounds- the curve as upper bound, y= 0 as lower bound, and two x values as left and right bounds.

In Physics, we can think of the derivative (of the distance function) as the speed at a given instant- one value of t. The derivative of the velocity function is the increase in distance. Increase over what time interval. We have to have a "beginning" time as well as a final time in order to talk about an increase.
 
  • #4
Of course definite integration is something related to differentiation.
$$\mathop{f}(b)-\mathop{f}(a)=\int_a^b \! {\mathop{f} }^ \prime (x) \, \mathop{dx}$$
I would not focus on the number of values it is not a central idea.
Traditionally integration is introduced as associating a value to a function and interval and differentiation associates value to a point and function. These are mostly the same as we can think of a point as a small interval and we can think of an interval as a point.
 
  • #5
HallsofIvy said:
What, exactly, is your understanding of the derivative and integral? Most texts introduce the derivative as "slope" of the curve (actually slope of the tangent line) at a given point, integral as area under a curve. "At a given point" is necessarily a single value of x while "area" has to have bounds- the curve as upper bound, y= 0 as lower bound, and two x values as left and right bounds.

My understanding of the topic is what is mentioned by you and other in this thread.
Differentiation is the process of finding the derivative. Derivative being nothing but the instantaneous (limit x->0) rate of change of y(function of x) w.r.t. x By this we see that derivative is slope of tangent to the curve at the point in consideration.

Indefinite integration is the inverse of differentiation. Definite Integration is the process of finding area under the curve as the area corresponds to the product of the Slope and the independent variable which helps us find the change in The dependent variable( Am i right?)

HallsofIvy said:
In Physics, we can think of the derivative (of the distance function) as the speed at a given instant- one value of t. The derivative of the velocity function is the increase in distance. Increase over what time interval. We have to have a "beginning" time as well as a final time in order to talk about an increase.

Nice. Exactly what i wanted.
Edit : sorry but i think you meant the integration of velocity function as increase in distance?

One more thing. Sometimes d(any variable here) is a change like in dv(velocity) and sometimes it is the just infinitesimally small quantity like dW. Sometimes i feel both are the same and sometimes i dont. Which one is true?
 
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  • #6
Also can you tell me why Fundamental Theorem of Calculus is Useful in Physics.
I mean if we take the example of ds/dt= V , then we can say that ds = V.dt which indicates that the area of the product of V and dt gives us a number which is equal to the small change is s all from the equation. I don't think i used any F.T.C here , so why is it considered so important atleast in this case?
 

1. What are upper and lower limits?

Upper and lower limits refer to the boundaries or extreme values within which a certain variable or phenomenon can exist. These limits are often used in statistical analysis to determine the range of values that a data set can take.

2. How are upper and lower limits calculated?

The calculation of upper and lower limits depends on the type of data being analyzed. For continuous data, the upper limit is typically calculated as the mean plus three times the standard deviation, while the lower limit is calculated as the mean minus three times the standard deviation. For discrete data, the limits are usually calculated using a different formula based on the distribution of the data.

3. Why are upper and lower limits important in data analysis?

Upper and lower limits are important because they help us understand the variability of a data set and identify any outliers or extreme values. They also aid in making decisions about the significance of certain results and determining if they fall within an acceptable range.

4. Can upper and lower limits change over time?

Yes, upper and lower limits can change over time as new data is collected and added to the analysis. This is especially true for data that is subject to external factors or influences, such as economic data or weather patterns.

5. How do upper and lower limits differ from confidence intervals?

Upper and lower limits and confidence intervals are both measures of variability, but they have different interpretations. While upper and lower limits define the range of values that a data set can take, confidence intervals represent the range of values within which the true value of a parameter is likely to fall. Confidence intervals also take into account the uncertainty of the estimate, while upper and lower limits do not.

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