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Tangents and Differentiation
The gradient at any point on any curve is defined as the GRADIENT FUNCTION How do we find the gradient function of a curve?
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Repeat for smaller values of π₯
Curves do not have a constant rate of change, i.e. the gradient is not constant. How do we calculate the rate of change at any point on a curve? This is defined to be the gradient of the tangent drawn at that point. π(π₯) π(π) π Repeat for smaller values of π₯ π₯ π π₯ = π₯ 2 πππ π=1 x 2 π π ππ 3
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This shows a sequence of points π 1 , π 2 β¦
This shows a sequence of points π 1 , π 2 β¦. getting closer and closer to the point P. What does this show? π π₯ = π₯ 2 πππ π=1 x 2 1.5 1.1 1.001 π π ππ 3 2.5 2.1 2.001
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π π₯ = π₯ 2 πππ π=1 As we choose values of π₯ getting closer to π=1, we see that the lines from P to each of the Qβs get nearer and nearer to becoming a tangent at P. If we let the point Q approach the point P along the curve, then the gradient of the line should approach the gradient of the tangent at P, and hence the gradient of the curve. π₯ π πππ 2 3 1.5 2.5 1.1 2.1 1.001 2.001 The values of π πππ appear to be getting closer to 2. In the case we write: lim π₯ β1 π πππ =2
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Algebraic Method Let Q be the point 1+β, 1+β 2
Gradient of PQ = (1+β) 2 β1 1+β β1 = 1+2β+ β 2 β1 β = β( 2+β) β = 2+β As Q approaches closer and closer to P, ββ0 π π, 2+ββ2 This agrees with the previous method. This finds the gradient at one point of curve, but how can we find the gradient at any point?
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Algebraic Method To find the gradient at π π₯, π₯ 2 , take a point Q π₯+β, π₯+β 2 π₯+β, π₯+β 2 on the curve close to P. Gradient of PQ = (π₯+β) 2 β π₯ 2 π₯+β βπ₯ = π₯ 2 +2π₯β+ β 2 β π₯ 2 β = β(2π₯+β) β = 2π₯+β As Q approaches closer and closer to P, ββ0 π π 2π₯+ββ2π₯ At any point on π¦= π₯ 2 the gradient of the curve is 2π₯. So for π¦= π₯ 2 the gradient function is 2π₯ π¦= π₯ 2 (π₯+β) 2 (π₯+β) 2 β π₯ 2 π₯ 2
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Differentiation β First Principles
Differentiation is the process of finding the gradient function of a curve. For any curve π¦=π(π₯), the gradient can be defined as follows: Let π(π₯,π¦) be any point on the curve and Q π₯+πΏπ₯, π¦+πΏπ¦ be a point on the curve near P. πΏπ₯ and πΏπ¦ are the small changes in π₯ and π¦ between P and π. Gradient of Pπ = π¦+πΏπ¦ βπ¦ π₯+πΏπ₯ β π₯ = πΏπ¦ πΏπ₯ Gradient at P = lim πΏπ₯β0 πΏπ¦ πΏπ₯ = ππ¦ ππ₯ ( ππ¦ ππ₯ is the notation used for the gradient function or derivative of a curve)
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lim πΏπ₯β0 πΏπ¦ πΏπ₯ = ππ¦ ππ₯ = πβ²(π₯) = lim πΏπ₯β0 π π₯+πΏπ₯ βπ(π₯) πΏπ₯
Definition The derivative of a function π with respect to a point π₯ is defined by: lim πΏπ₯β0 πΏπ¦ πΏπ₯ = ππ¦ ππ₯ = πβ²(π₯) = lim πΏπ₯β0 π π₯+πΏπ₯ βπ(π₯) πΏπ₯ Find the derivative of π π₯ =π₯ 3 π β² π₯ = lim πΏπ₯β0 π π₯+πΏπ₯ βπ(π₯) πΏπ₯ = lim πΏπ₯β0 (π₯+πΏπ₯) 3 β π₯ 3 πΏπ₯ = lim πΏπ₯β0 π₯ 3 +3 π₯ 2 πΏπ₯ +3π₯ (πΏπ₯) 2 + (πΏπ₯) 3 β π₯ 3 πΏπ₯ = lim πΏπ₯β0 3 π₯ 2 +3π₯ πΏπ₯ + (πΏπ₯) 2 = 3 π₯ 2 The derivative of π π is π π π
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