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Linear approximations

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Linear approximations

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Linear approximations

  1. 1. TARUN GEHLOT (B.E, CIVIL, HONOURS) Linear Approximations This approximation is crucial to many known numerical techniques such as Euler's Method to approximate solutions to ordinary differential equations. The idea to use linear approximations rests in the closeness of the tangent line to the graph of the function around a point. Let x0 be in the domain of the function f(x). The equation of the tangent line to the graph of f(x) at the point (x0,y0), where y0 = f(x0), is If x1 is close to x0, we will write , and we will approximate by the point (x1,y1) on the tangent line given by If we write , we have In fact, one way to remember this formula is to write f'(x) as and then replace d by . Recall that, when x is close to x0, we have Example. Estimate . Let . We have . Using the above approximation, we get We have
  2. 2. TARUN GEHLOT (B.E, CIVIL, HONOURS) So . Hence or . Check with your calculator and you'll see that this is a pretty good approximation for .Remark. For a function f(x), we define the differential df of f(x) by Example. Consider the function y = f(x) = 5x2 . Let be an increment of x. Then, if is the resulting increment of y, we have On the other hand, we obtain for the differential dy: In this example we are lucky in that we are able to compute exactly, but in general this might be impossible. The error in the approximation, the difference between dy(replacing dx by ) and , is , which is small compared to .

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