Chapter 9
Calculus for Biology and Medicine · 247 exercises
Problem 11
Normalize \([1,3,-1]\).
3 step solution
Problem 11
Assume that the Leslie matrix is $$ L=\left[\begin{array}{ll} 0 & 2 \\ 0.6 & 0 \end{array}\right] $$ Suppose that, at time \(t=0, N_{0}(0)=5\) and \(N_{1}(0)=1\). Find the population vectors for \(t=0,1,2, \ldots, 10 .\) Compute the successive ratios $$ q_{0}(t)=\frac{N_{0}(t)}{N_{0}(t-1)} \text { and } q_{1}(t)=\frac{N_{1}(t)}{N_{1}(t-1)} $$ for \(t=1,2, \ldots, 10 .\) Do \(q_{0}(t)\) and \(q_{1}(t)\) converge? Compute the fraction of females age 0 for \(t=0,1, \ldots, 10 .\) Describe the longterm behavior of \(q_{0}(t)\).
6 step solution
Problem 11
Vectors are given in their polar coordinate representation (length \(\boldsymbol{r}\), and angle \(\alpha\) measured counterclockwise from the positive \(x_{1}-\) axis). Find the representation of the vector \(\left[\begin{array}{l}x_{1} \\ x_{2}\end{array}\right]\) in Cartesian coordinates. $$r=1, \alpha=180^{\circ}$$
5 step solution
Problem 11
Let $$A=\left[\begin{array}{rrr}1 & 0 & 1 \\ 2 & 3 & -1 \\ 0 & -2 & 0\end{array}\right] ,\boldsymbol{B}=\left[\begin{array}{rrr}\mathbf{1} & \mathbf{- 1} & \mathbf{4} \\\ \mathbf{- 2} & \mathbf{0} & \mathbf{- 1} \\ \mathbf{1} & \mathbf{3} & \mathbf{3}\end{array}\right] ,\boldsymbol{C}=\left[\begin{array}{lll}\mathbf{1} & \mathbf{0} & \mathbf{4} \\\ \mathbf{0} & \mathbf{1} & \mathbf{1} \\ \mathbf{2} & \mathbf{0} & \mathbf{2}\end{array}\right]$$ Show that \(A+B=B+A\).
4 step solution
Problem 11
In Problems 9-16, reduce the system of equations to upper triangular form and find all the solutions. $$ \begin{array}{l} 7 x-y=4 \\ 3 x+2 y=1 \end{array} $$
5 step solution
Problem 12
Normalize \([2,0,-4]\).
3 step solution
Problem 12
Vectors are given in their polar coordinate representation (length \(\boldsymbol{r}\), and angle \(\alpha\) measured counterclockwise from the positive \(x_{1}-\) axis). Find the representation of the vector \(\left[\begin{array}{l}x_{1} \\ x_{2}\end{array}\right]\) in Cartesian coordinates. $$r=5, \alpha=270^{\circ}$$
5 step solution
Problem 12
Let $$A=\left[\begin{array}{rrr}1 & 0 & 1 \\ 2 & 3 & -1 \\ 0 & -2 & 0\end{array}\right] ,\boldsymbol{B}=\left[\begin{array}{rrr}\mathbf{1} & \mathbf{- 1} & \mathbf{4} \\\ \mathbf{- 2} & \mathbf{0} & \mathbf{- 1} \\ \mathbf{1} & \mathbf{3} & \mathbf{3}\end{array}\right] ,\boldsymbol{C}=\left[\begin{array}{lll}\mathbf{1} & \mathbf{0} & \mathbf{4} \\\ \mathbf{0} & \mathbf{1} & \mathbf{1} \\ \mathbf{2} & \mathbf{0} & \mathbf{2}\end{array}\right]$$ Show that \((A+B)+C=A+(B+C)\).
5 step solution
Problem 12
In Problems 9-16, reduce the system of equations to upper triangular form and find all the solutions. $$ \begin{array}{l} 5 x+2 y=8 \\ -x+3 y=9 \end{array} $$
5 step solution
Problem 13
Suppose that $$ L=\left[\begin{array}{ll} 2 & 4 \\ 0.3 & 0 \end{array}\right] $$ is the Leslie matrix for a population with two age classes. (a) Determine both eigenvalues. (b) Give a biological interpretation of the larger eigenvalue. (c) Find the stable age distribution.
4 step solution
Problem 13
Suppose a vector \(\left[\begin{array}{l}x_{1} \\ x_{2}\end{array}\right]\) has length 3 and is \(15^{\circ}\) clockwise from the positive \(x_{1}\) -axis. Find \(x_{1}\) and \(x_{2}\).
6 step solution
Problem 13
In Problems 9-16, reduce the system of equations to upper triangular form and find all the solutions. $$ \begin{array}{r} 3 x-y=1 \\ -3 x+y=4 \end{array} $$
3 step solution
Problem 14
Suppose that $$ L=\left[\begin{array}{rr} 4 & 2 \\ 1 & 0.5 \end{array}\right] $$ is the Leslie matrix for a population with two age classes. (a) Determine both eigenvalues. (b) Give a biological interpretation of the larger eigenvalue. (c) Find the stable age distribution.
7 step solution
Problem 14
Suppose a vector \(\left[\begin{array}{l}x_{1} \\ x_{2}\end{array}\right]\) has length 2 and is \(140^{\circ}\) clockwise from the positive \(x_{1}\) -axis. Find \(x_{1}\) and \(x_{2}\).
6 step solution
Problem 14
Find the transpose of $$ A=\left[\begin{array}{l} 2 \\ 0 \\ 1 \end{array}\right] $$
4 step solution
Problem 14
In Problems 9-16, reduce the system of equations to upper triangular form and find all the solutions. $$ \begin{aligned} 2 x+3 y &=5 \\ -y &=-2+\frac{2}{3} x \end{aligned} $$
5 step solution
Problem 15
Find the dot product of \(\mathbf{x}=[-1,2]^{\prime}\) and \(\mathbf{y}=[-3,-4]^{\prime}\).
4 step solution
Problem 15
Suppose that $$ L=\left[\begin{array}{ll} 3 & 2 \\ 1.5 & 1 \end{array}\right] $$ is the Leslie matrix for a population with two age classes. (a) Determine both eigenvalues. (b) Give a biological interpretation of the larger eigenvalue. (c) Find the stable age distribution.
5 step solution
Problem 15
Suppose a vector \(\left[\begin{array}{l}x_{1} \\ x_{2}\end{array}\right]\) has length 3 and is \(25^{\circ}\) counterclockwise from the positive \(x_{2}\) -axis. Find \(x_{1}\) and \(x_{2}\).
6 step solution
Problem 15
Find the transpose of $$ A=\left[\begin{array}{rrr} -1 & 0 & 0 \\ 3 & 1 & -4 \end{array}\right] $$
4 step solution
Problem 15
In Problems 9-16, reduce the system of equations to upper triangular form and find all the solutions. $$ \begin{array}{r} x+2 y=3 \\ 4 y+2 x=6 \end{array} $$
5 step solution
Problem 16
Find the dot product of \(\mathbf{x}=[1,2]^{\prime}\) and \(\mathbf{y}=[3,-1]^{\prime}\).
4 step solution
Problem 16
Suppose that $$ L=\left[\begin{array}{ll} 0 & 5 \\ 0.9 & 0 \end{array}\right] $$ is the Leslie matrix for a population with two age classes. (a) Determine both eigenvalues. (b) Give a biological interpretation of the larger eigenvalue. (c) Find the stable age distribution.
4 step solution
Problem 16
Suppose a vector \(\left[\begin{array}{l}x_{1} \\ x_{2}\end{array}\right]\) has length 1 and is \(90^{\circ}\) counterclockwise from the negative \(x_{2}\) -axis. Find \(x_{1}\) and \(x_{2}\).
3 step solution
Problem 16
Suppose \(A\) is a \(2 \times 2\) matrix. Find conditions on the entries of \(A\) such that $$ A-A^{\prime}=\mathbf{0} $$
5 step solution
Problem 16
In Problems 9-16, reduce the system of equations to upper triangular form and find all the solutions. $$ \begin{array}{r} x-2 y=2 \\ 4 y-2 x=-4 \end{array} $$
5 step solution
Problem 17
Find the dot product of \(\mathbf{x}=[0,-1,3]^{\prime}\) and \(\mathbf{y}=[-3,0,1]^{\prime}\).
4 step solution
Problem 17
Suppose that $$ L=\left[\begin{array}{ll} 0 & 5 \\ 0.09 & 0 \end{array}\right] $$ is the Leslie matrix for a population with two age classes. (a) Determine both eigenvalues. (b) Give a biological interpretation of the larger eigenvalue. (c) Find the stable age distribution.
6 step solution
Problem 17
Find \(\mathbf{x}+\mathbf{y}\) for each pair of vectors \(\mathbf{x}\) and \(\mathbf{v}\). Represent \(\mathrm{x}, \mathbf{y}\), and \(\mathrm{x}+\mathrm{y}\) in the plane, and explain graphically how you add \(\mathbf{x}\) and \(\mathbf{y}\). \(\mathbf{x}=\left[\begin{array}{l}1 \\ 2\end{array}\right]\) and \(\mathbf{y}=\left[\begin{array}{l}3 \\ 0\end{array}\right]\)
4 step solution
Problem 17
Suppose that \(A\) and \(B\) are \(m \times n\) matrices. Show that $$ (A+B)^{\prime}=A^{\prime}+B^{\prime} $$
6 step solution
Problem 17
Predicting Heart Disease. The risk of a person developing heart disease is correlated with their BMI (or body mass index), which is calculated by dividing their body mass by the square of their height (high BMIs typically mean the person is overweight). Heart disease is also related to a person's level of activity. Suppose a person's BMI is \(x\) and their physical activity is \(y\) (measured, for example, in minutes of exercise each day). Let \(h\) be a heart disease risk index (high values of \(h\) mean high risk of heart disease, low values of \(h\) mean a low risk of heart disease). \(h\) depends on \(x\) and \(y\), that is, \(h=h(x, y)\). A simple linear model is that if only the effects of BMI and activity are considered: $$ h(x, y)=a x+b y $$ for some constants \(a\) and \(b\). (a) Would you expect \(a>0\) or \(a<0 ?\) What about \(b ?\) (b) To fit the values of \(a\) and \(b\), consider the following data. A patient with BMI of 20, and who does 50 min of activity each day, has risk index \(h=25\). A patient with BMI of 35, and who does 10 min of activity each day, has risk index \(h=315\). Use these data to estimate the values of \(a\) and \(b\). (c) How accurate is this model likely to be? In other words name some other factors besides physical activity and BMI that could affect \(h\), and should therefore be included in the model.
5 step solution
Problem 18
Find the dot product of \(\mathbf{x}=[2,-3,1]^{\prime}\) and \(\mathbf{y}=[3,1,-2]\).
6 step solution
Problem 18
Suppose that \(A\) is an \(m \times n\) matrix. Show that $$ \left(A^{\prime}\right)^{\prime}=A $$
3 step solution
Problem 18
Plant Growth The rate of growth of a plant depends on the amount of light available to it, which depends on whether it is growing in shade or full sun. Let the light that the plant receives be \(x, x\) could, for example, be measured in lumens (lumen is a unit for total light absorption). Growth rate also depends on how many herbivorous insects graze on the plant. Denote the number of nearby herbivorous insects by \(y(y\) could, for example, represent the number of herbivorous insects per square meter of habitat). A simple model is that the rate of growth, \(r\) is a linear function of \(x\) and \(y\); that is: $$ r(x, y)=a x+b y $$ for some constants \(a\) and \(b\). (a) Would you expect \(a>0\) or \(a<0 ?\) What sign do you expect \(b\) will have? (b) Consider the following data: A plant that receives an average of 3000 lumens of light, and that has 10 herbivorous insects per square meter, grows at a rate of \(20 \mathrm{~cm} / \mathrm{yr}\). A different plant, receiving an average of 5000 lumens of light, has 40 herbivorous insects per square meter, and grows at a rate of \(10 \mathrm{~cm} / \mathrm{yr}\). Use these data to fit \(a\) and \(b\). (c) How accurate is this model likely to be? In other words name some other factors besides light and number of herbivorous insects that could affect \(r\) and therefore should be in the model.
4 step solution
Problem 19
Use the dot product to compute the length of \([0,-1,2]\).
3 step solution
Problem 19
Suppose that \(A\) is an \(m \times n\) matrix and \(k\) is a real number. Show that $$ (k A)^{\prime}=k A^{\prime} $$
4 step solution
Problem 19
In Problems 19-24, solve each system of linear equations. $$ \begin{array}{r} 2 x-3 y+z=-1 \\ x+y-2 z=-3 \\ 3 x-2 y+z=2 \end{array} $$
6 step solution
Problem 20
Use the dot product to compute the length of \([1,1,3]\) '.
4 step solution
Problem 20
Find \(\mathbf{x}+\mathbf{y}\) for each pair of vectors \(\mathbf{x}\) and \(\mathbf{v}\). Represent \(\mathrm{x}, \mathbf{y}\), and \(\mathrm{x}+\mathrm{y}\) in the plane, and explain graphically how you add \(\mathbf{x}\) and \(\mathbf{y}\). \(\mathbf{x}=\left[\begin{array}{l}-1 \\ -1\end{array}\right]\) and \(\mathbf{y}=\left[\begin{array}{l}1 \\ 2\end{array}\right]\)
4 step solution
Problem 20
Suppose that \(A\) is an \(m \times k\) matrix and \(B\) is a \(k \times n\) matrix. Show that $$ (A B)^{\prime}=B^{\prime} A^{\prime} $$
3 step solution
Problem 20
In Problems 19-24, solve each system of linear equations. $$ \begin{aligned} 5 x-y+2 z &=6 \\ x+2 y-z &=-1 \\ 3 x+2 y-2 z &=1 \end{aligned} $$
8 step solution
Problem 21
Use the dot product to compute the length of \([1,2,3,4]\) '.
4 step solution
Problem 21
Find \(\mathbf{x}+\mathbf{y}\) for each pair of vectors \(\mathbf{x}\) and \(\mathbf{v}\). Represent \(\mathrm{x}, \mathbf{y}\), and \(\mathrm{x}+\mathrm{y}\) in the plane, and explain graphically how you add \(\mathbf{x}\) and \(\mathbf{y}\). \(\mathbf{x}=\left[\begin{array}{l}1 \\ 0\end{array}\right]\) and \(\mathbf{y}=\left[\begin{array}{r}-1 \\ 0\end{array}\right]\)
4 step solution
Problem 21
Let $$A=\left[\begin{array}{rr} -1 & 0 \\ 1 & 2 \end{array}\right], \quad B=\left[\begin{array}{rr} 2 & 0 \\ -1 & -1 \end{array}\right], \quad C=\left[\begin{array}{rr} 1 & 2 \\ 0 & -1 \end{array}\right]$$ Compute the following: (a) \(A B\) (b) \(B A\)
4 step solution
Problem 21
In Problems 19-24, solve each system of linear equations. $$ \begin{array}{r} 2 x+y+z=7 \\ 3 x+2 y+z=9 \\ x+y-z=0 \end{array} $$
7 step solution
Problem 22
Use the dot product to compute the length of \([1,2,3,0]\).
5 step solution
Problem 22
Find \(\mathbf{x}+\mathbf{y}\) for each pair of vectors \(\mathbf{x}\) and \(\mathbf{v}\). Represent \(\mathrm{x}, \mathbf{y}\), and \(\mathrm{x}+\mathrm{y}\) in the plane, and explain graphically how you add \(\mathbf{x}\) and \(\mathbf{y}\). \(\mathbf{x}=\left[\begin{array}{l}-3 \\ -1\end{array}\right]\) and \(\mathbf{y}=\left[\begin{array}{l}-1 \\ -1\end{array}\right]\)
4 step solution
Problem 22
Let $$A=\left[\begin{array}{rr} -1 & 0 \\ 1 & 2 \end{array}\right], \quad B=\left[\begin{array}{rr} 2 & 0 \\ -1 & -1 \end{array}\right], \quad C=\left[\begin{array}{rr} 1 & 2 \\ 0 & -1 \end{array}\right]$$ Compute \(A B C\).
3 step solution
Problem 22
In Problems 19-24, solve each system of linear equations. $$ \begin{array}{r} -2 x+4 y-z=-1 \\ x+7 y+2 z=-4 \\ 3 x-2 y+3 z=-3 \end{array} $$
9 step solution
Problem 23
Find the angle between \(\mathbf{x}=[3,1]^{\prime}\) and \(\mathbf{y}=[3,-1]\).
5 step solution