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Can some body clearly explain the graphical meaning of differentiation and integration?

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In simple terms integration is area under the curve and differentiation is the slope of the curve.
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Graphical analysis of functions is an important technique in science and engineering. For example, consider the function F(x) = x 2 e ?x/5 , (13-26) which might describe a cause-and-effect relationship between two variables, x and F, in a physical system. A scientist encountering this function,...
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Graphical analysis of functions is an important technique in science and engineering. For example, consider the function F(x) = x 2 e ?x/5 , (13-26) which might describe a cause-and-effect relationship between two variables, x and F, in a physical system. A scientist encountering this function, e.g., in a theoretical calculation, would immediately sketch its graph. the pictorial representation is easier to comprehend than the symbolic formula. The graph shows that as x increases from 0 to 30, the variable F starts at 0, then rises until F reaches a maximum at x = 10 and then decreases more gradually to 0. The derivative dF/dx, or F 0 (x), is an important quantity in the analysis of a function F(x). It is the rate of change of the variable F with respect to a change in x. The derivative function has a simple graphical interpretation, which we studied in Sec. 4.2: The derivative F 0 (x) is the slope of the graph of F(x) at x. For example, looking at Fig. 13.2 for the function in (13-26) we can immediately see that the slope starts at 0 at x = 0, becomes positive as x increases, but returns to 0 at the maximum (x = 10); as x increases beyond this point the slope becomes negative but approaches 0 (from below) as x tends to ?. All of the detailed properties of F(x) and F 0 (x) can be seen from the graph. The slope of a graph is a “geometric” concept, because it involves the shape of the curve. The physical application of the function F(x) may be completely unrelated to geometry. But we introduce this geometric concept— the slope of the graph—as an abstract mathematical construction that will help us to analyze the function. The definite integral R b a F(x)dx is another important quantity in the analysis of a function. It is the amount of a quantity whose “density” (amount per unit of x) is F(x). This concept has many physical applications. F(x) help us to analyze the integral? The integral does have a simple graphical interpretation. R b a F(x)dx is a certain area in the graph of F(x): It is the area bounded above by the curve F(x), bounded below by the x axis, and bounded on the sides by the vertical lines x = a and x = b. For example, the integral of the specific function F(x) in (13-26), from x = 5 to x = 20. We’ll prove that R b a F(x)dx is equal to the shaded area presently. It is important to understand that the “area of the graph” does not generally refer to a real physical area. In most applications, R F(x)dx is not a physical area, or any other geometric quantity. It could be a mass, or kinetic energy, or an electric field, etc. The integral R b a g(x)dx is the area bounded above by g(x) and below by the x axis, between x = a and x = b, on a graph of g(x). read less
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Dude it's too long to explain here. These concepts can be mastered by showing them on the graphs which is not possible here. I would suggest u to look for some videos on net for better understanding.
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Graphical Meaning of Differentiation and Integration : Graphical meaning of differentiation implies that the derivative at a point is the slope of the tangent line to the graph of the function at that point, provided that the derivative exists and is defined at that point. For a real-valued function...
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Graphical Meaning of Differentiation and Integration : Graphical meaning of differentiation implies that the derivative at a point is the slope of the tangent line to the graph of the function at that point, provided that the derivative exists and is defined at that point. For a real-valued function of a single real variable, the derivative of a function at a point generally determines the best linear approximation to the function at that point. Differentiation also has applications to nearly all quantitative disciplines. For example, inphysics, the derivative of the displacement of a moving body with respect to time is thevelocity of the body, and the derivative of velocity with respect to time is acceleration. The derivative of the momentum of a body equals the force applied to the body; rearranging this derivative statement leads to the famous F = ma equation associated with Newton's second law of motion. The reaction rate of a chemical reaction is a derivative. In operations research, derivatives determine the most efficient ways to transport materials and design factories. All these are represented by graphs in a co-ordinate plane. Integration means summation . Graphically we find the area of a closed figure between a curve and the axes. We want to find the area of a given region in the plane. It is not hard to see that this problem can be reduced to finding the area of the region bounded above by the graph of a positive function f (x), bounded below by the x-axis, bounded to the left by the vertical line x = a, and to the right by the vertical line x = b. This can be done by integration process. read less
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Differentiation means slope and integration means area under the Curve.
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I can only give you a limited answer on this site, as a full treatment would require a lot more space and time! Mathematically, the derivative/integral of a function mean nothing more than exactly what their definition says. Intuitively however, you can interpret them like this: Imagine a...
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I can only give you a limited answer on this site, as a full treatment would require a lot more space and time! Mathematically, the derivative/integral of a function mean nothing more than exactly what their definition says. Intuitively however, you can interpret them like this: Imagine a bucket, with a tap pouring water into it. At any point in time we can measure the rate of flow of water out of the tap in litres per minute. we can also see how full the bucket is in litres. If we model the volume of water in the bucket as a function of time, then the rate at which it increases (or decreases) is the derivative of the volume of water in the bucket with respect to time. In our case of a tap filling a bucket, it would be the rate of flow out of the tap. Notice that this doesn't need to be constant, it could change over time. At any point in time, we can also measure the amount of water in the bucket. Mathematically, we can model this as the integral of the flow into (or out of) the bucket. Eg. if the flow into the bucket is 2 liters per minute, and the flow goes for two minutes, and the initial amount of water in the bucket is 0, then after 2 minutes, we will have 4 litres in the bucket. This seems trivial to work out, but if the flow changes with time, then integration allows us to find out the total flow into the bucket, by integrating the flow with respect to time. Looking at it from a slightly more mathematical perspective, differentiation of a function tells you how quickly a function changes with respect to some variable, if you graph the function, the derivative at a certain point corresponds to the 'slope' or 'gradient' of the function at that point. Integration however, can be thought of as a weighted sum (a sum where you multiply each of the values to be added by a constant called the weighting). The integral of a function is like adding up all the different values that the function take, and giving them an infinitely small weighting. It essentially is like adding up all the small changes of a function. You can (often) interpret the integral of a function as the area between the curve defined by the function and the x axis. The fundamental theorem of calculus links differentiation and integration; essentially it says that the sum (integral) of all the tiny changes in a function f, add up (integrate), to give you the total change in f. There is MUCH more to it than this, however, but this should give you some idea... read less
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