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Question 7
A function f has domain R and range {y ∈ R : y ≥ e} The graph of y = f(x) is shown. The gradient of the curve at the point (x, y) is given by dy/dx = (x - 1)e^x ... show full transcript
Step 1
Answer
To find the expression for f(x), we first integrate the given derivative:
rac{dy}{dx} = (x - 1)e^xWe can use integration by parts, where we let:
This gives us:
Now applying the integration by parts formula:
egin{align*} ext{Integral} & = uv - ext{Integral}(v du) \\ & = (x - 1)e^x - ext{Integral}(e^x dx) \\ & = (x - 1)e^x - e^x + C \\ & = xe^x - 2e^x + C ext{where C is the constant of integration.} \end{align*}Thus, we have:
egin{align*} f(x) & = xe^x - 2e^x + C\end{align*}Step 2
Answer
Next, we must determine the minimum value of y. From the range of the function, we know that:
To find when this occurs, we set the derivative equal to 0:
rac{dy}{dx} = 0 ext{ at } (x - 1)e^x = 0.This leads to the conclusion that x must equal 1, hence the minimum value occurs at:
For the curve to pass through the point (1, e), substituting gives:
which implies:
Step 3
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1.1 Proof
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1.2 Proof by Contradiction
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2.1 Laws of Indices & Surds
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2.2 Quadratics
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2.3 Simultaneous Equations
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2.4 Inequalities
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2.5 Polynomials
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2.6 Rational Expressions
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2.7 Graphs of Functions
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2.8 Functions
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2.9 Transformations of Functions
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2.10 Combinations of Transformations
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2.11 Partial Fractions
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2.12 Modelling with Functions
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2.13 Further Modelling with Functions
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3.1 Equation of a Straight Line
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3.2 Circles
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4.1 Binomial Expansion
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4.2 General Binomial Expansion
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4.3 Arithmetic Sequences & Series
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4.4 Geometric Sequences & Series
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4.5 Sequences & Series
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4.6 Modelling with Sequences & Series
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5.1 Basic Trigonometry
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5.2 Trigonometric Functions
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5.3 Trigonometric Equations
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5.4 Radian Measure
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5.5 Reciprocal & Inverse Trigonometric Functions
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5.6 Compound & Double Angle Formulae
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5.7 Further Trigonometric Equations
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5.8 Trigonometric Proof
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5.9 Modelling with Trigonometric Functions
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6.1 Exponential & Logarithms
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6.2 Laws of Logarithms
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6.3 Modelling with Exponentials & Logarithms
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7.1 Differentiation
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7.2 Applications of Differentiation
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7.3 Further Differentiation
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7.4 Further Applications of Differentiation
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7.5 Implicit Differentiation
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8.1 Integration
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8.2 Further Integration
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8.3 Differential Equations
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9.1 Parametric Equations
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10.1 Solving Equations
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10.2 Modelling involving Numerical Methods
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11.1 Vectors in 2 Dimensions
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11.2 Vectors in 3 Dimensions
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