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Question 2
A population growth is modelled by the differential equation dP/dt = kP, where P is the population, t is the time measured in days and k is a positive constant. G... show full transcript
Step 1
Answer
To solve the differential equation
dP/dt = kP,
we begin by separating the variables:
Next, we integrate both sides:
This gives:
Using the initial condition when t = 0, P = P0, we find:
Thus, substituting back, we have:
Exponentiating both sides results in:
Step 2
Answer
Setting P = 2P0 in the equation we found:
Dividing both sides by P0 gives:
Taking the natural logarithm of both sides:
Substituting k = 2.5, we find:
This evaluates to approximately 399 minutes, rounding to the nearest minute yields: 399 minutes.
Step 3
Answer
We start with the given differential equation:
dP/dt = λP cos(λt).
Separating the variables, we have:
Now integrating both sides:
This results in:
Next, applying the initial condition once more:
When t = 0, P = P0 implies:
Thus, we can express it as:
Exponentiating gives:
Step 4
Answer
Setting P = 2P0 in our derived equation:
Dividing both sides by P0:
Taking the natural logarithm:
Recalling that λ = 2.5, we can find t:
which leads to:
When calculated, we receive approximate values, rounding gives us around 441 minutes.
Thus, to the nearest minute: 441 minutes.
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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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