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Vector spaces and linear maps – university Year 1 maths worksheet answers to download as PDF

University vector spaces and linear maps worksheet answers – Otto the owl, Maths PDF
University Maths Year 1 – Worksheets with Answers – PDF
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These University vector spaces and linear maps worksheet answers give a full worked solution to all 20 questions of the vector spaces and linear maps worksheet. Try each question yourself first, then check your method step by step.

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  1. Answer to Question 1

    1. \(\mathbf 0=(0,0,0)\) satisfies the equation. If \((x,y,z)\) and \((x',y',z')\) are in \(W_1\) then the sum has coordinate total \((x+y+z)+(x'+y'+z')=0\); and \(\lambda(x,y,z)\) has total \(\lambda\cdot0=0\). So \(W_1\) is a subspace (a plane through the origin).
    2. \((1,0)\) and \((0,1)\) are in \(W_2\) (since \(1\cdot0=0\) and \(0\cdot1=0\)), but their sum \((1,1)\) has \(xy=1\ne0\). Closure under addition fails: not a subspace.
    3. \((0,0,0)\) gives total \(0\ne1\), so the zero vector is missing: not a subspace (it is a plane not through the origin).
  2. Answer to Question 2

    1. Solve \(a(1,1)+b(1,2)=(3,5)\): \(a+b=3\), \(a+2b=5\). Subtracting, \(b=2\) and \(a=1\). So yes: \((3,5)=1(1,1)+2(1,2)\).
    2. The determinant of the matrix with these rows is \(1(0-24)-2(0-20)+3(0-5)=1\ne0\), so they are independent.
    3. Try \((7,8,9)=a(1,2,3)+b(4,5,6)\): \(a+4b=7\), \(2a+5b=8\) give \(b=2\), \(a=-1\), and the third coordinate \(-3+12=9\) works. So \((1,2,3)-2(4,5,6)+(7,8,9)=\mathbf 0\): dependent.
  3. Answer to Question 3

    1. The determinant of the matrix with rows \(\mathbf b_i\) is \(1(1\cdot1-0)-1(0\cdot1-0)+0=\,\)... computing: \(\begin{vmatrix}1&1&0\\0&1&1\\1&0&1\end{vmatrix}=1(1-0)-1(0-1)+0=2\ne0\). Three independent vectors in \(\mathbb R^3\) form a basis.
    2. Solve \(a\mathbf b_1+b\mathbf b_2+c\mathbf b_3=(2,3,4)\): \(a+c=2\), \(a+b=3\), \(b+c=4\). Adding: \(2(a+b+c)=9\), so \(a+b+c=4.5\). Then \(b=4.5-2=2.5\), \(c=4.5-3=1.5\), \(a=4.5-4=0.5\). Coordinates: \((0.5,\,2.5,\,1.5)\).
    3. The dimension is the number of vectors in a basis: 3.
  4. Answer to Question 4

    1. Basis \(1,x,x^2,x^3\): dimension 4.
    2. One basis matrix for each of the 6 positions (a 1 in that position, 0 elsewhere): dimension 6.
    3. \((x,y,z)=(-y-z,y,z)=y(-1,1,0)+z(-1,0,1)\), so the basis \(\{(-1,1,0),(-1,0,1)\}\) gives dimension 2.
    4. A symmetric matrix is \(\begin{pmatrix}a&b\\b&d\end{pmatrix}\)\(=a\)\(\begin{pmatrix}1&0\\0&0\end{pmatrix}\)\(+b\)\(\begin{pmatrix}0&1\\1&0\end{pmatrix}\)\(+d\)\(\begin{pmatrix}0&0\\0&1\end{pmatrix}\), so the dimension is 3.
  5. Answer to Question 5

    1. \(T(\lambda\mathbf u+\mu\mathbf v)\) has components \(\lambda(u_1+u_2)+\mu(v_1+v_2)\) and \(\lambda(2u_1-u_2)+\mu(2v_1-v_2)\), which equals \(\lambda T(\mathbf u)+\mu T(\mathbf v)\). The matrix columns are \(T(1,0)=(1,2)\) and \(T(0,1)=(1,-1)\), so the matrix is \(\begin{pmatrix}1&1\\2&-1\end{pmatrix}\).
    2. \(\det=-1-2=-3\ne0\), so \(T\) is invertible.
    3. \(S(0,0)=(1,0)\ne(0,0)\). A linear map must send \(\mathbf 0\) to \(\mathbf 0\), so \(S\) is not linear (it is a translation).
  6. Answer to Question 6

    1. Solve \(A\mathbf x=\mathbf 0\). Row 2 is twice row 1, so we need \(x+2y+3z=0\) and \(x+y+z=0\). Subtracting: \(y+2z=0\), so \(y=-2z\) and \(x=z\). The kernel is spanned by \((1,-2,1)\) (nullity 1).
    2. The image is the span of the columns \((1,2,1)\), \((2,4,1)\) and \((3,6,1)\). The third column is \((3,6,1)=2(2,4,1)-(1,2,1)\), so a basis is \(\{(1,2,1),(2,4,1)\}\) (rank 2).
    3. \(\operatorname{rank}+\operatorname{nullity}=2+1=3=\dim\mathbb R^3\).
  7. Answer to Question 7

    1. The determinant of the matrix with columns \(\mathbf p_i\) is \(2(1-0)-0+1(1-0)=3\ne0\), so they are independent.
    2. Solve \(2a+c=5\), \(a+b=4\), \(b+c=3\). From the second, \(b=4-a\); from the third \(c=3-b=a-1\); first: \(2a+a-1=5\) gives \(a=2\), so \(b=2\), \(c=1\). The recipe is 2 units of \(\mathbf p_1\), 2 of \(\mathbf p_2\), 1 of \(\mathbf p_3\).
    3. Three independent vectors in \(\mathbb R^3\) form a basis, so every vector has exactly one coordinate triple.
    4. For instance \((0,0,1)\): solve \(2a+c=0\), \(a+b=0\), \(b+c=1\): \(c=-2a\), \(b=-a\), so \(-a-2a=1\) and \(a=-\tfrac13\), which is negative. Such colours are outside the range the three inks can produce.
  8. Answer to Question 8

    1. The determinant is \(\begin{vmatrix}1&2&0\\0&1&2\\1&0&1\end{vmatrix}=1(1-0)-2(0-2)+0=5\ne0\), so the vectors are independent and form a basis.
    2. Solve \(a+c=3\), \(2a+b=7\), \(2b+c=7\). From the first \(c=3-a\); second \(b=7-2a\); third: \(14-4a+3-a=7\), so \(a=2\), \(b=3\), \(c=1\). Servings: 2, 3 and 1.
    3. Two independent vectors span a plane through the origin in \(\mathbb R^3\).
    4. Only if \((3,7,7)\) lies in that plane. By (b) the coordinates are unique, and the coefficient of \(\mathbf f_3\) is \(1\ne0\), so the answer is no.
  9. Answer to Question 9

    1. The image (column space) has dimension equal to the rank: 3.
    2. \(\operatorname{rank}+\operatorname{nullity}=6\) (the number of columns), so the nullity is \(6-3=\) 3.
    3. Three independent changes of the readings leave all four summaries unchanged, so they cannot be detected from the summaries.
    4. No. The image has dimension 3, but \(\mathbb R^4\) has dimension 4, so the summaries always lie in a three-dimensional subspace.
  10. Answer to Question 10

    1. \(D(1)=0\), \(D(t)=1\), \(D(t^2)=2t\). In the basis \(\{1,t,t^2\}\) the columns are \((0,0,0)\), \((1,0,0)\), \((0,2,0)\): \(\begin{pmatrix}0&1&0\\0&0&2\\0&0&0\end{pmatrix}\).
    2. The kernel is the constant polynomials (dimension 1). The image is \(\{a+bt\}\), spanned by \(1\) and \(t\) (dimension 2). Check: \(1+2=3=\dim P_2\).
    3. The coordinate vector of \(h\) is \((2,20,-4.9)\). Then \(\begin{pmatrix}0&1&0\\0&0&2\\0&0&0\end{pmatrix}\)\(\begin{pmatrix}2\\20\\-4.9\end{pmatrix}\)\(=\) \(\begin{pmatrix}20\\-9.8\\0\end{pmatrix}\), that is \(D(h)=20-9.8t\).
    4. \(D(h)\) is the velocity of the ball. \(D^2h=-9.8\) is the (constant) acceleration due to gravity.
  11. Answer to Question 11

    1. \(\begin{pmatrix}1&0.5\\0&1\end{pmatrix}\), since \(S(1,0)=(1,0)\) and \(S(0,1)=(0.5,1)\).
    2. \((0,0)\mapsto(0,0)\); \((1,0)\mapsto(1,0)\); \((0,2)\mapsto(1,2)\); \((1,2)\mapsto(2,2)\). The rectangle becomes a parallelogram with the top edge shifted one unit to the right.
    3. \(\det S=1\): the area of every shape is unchanged by the shear, so letters keep the same ink area.
    4. \(S^{-1}=\) \(\begin{pmatrix}1&-0.5\\0&1\end{pmatrix}\), which shears back by the same amount in the opposite direction.
  12. Answer to Question 12

    1. The determinant of the matrix with rows \((1,1)\), \((1,-1)\) is \(-2\ne0\), so the vectors are independent; two independent vectors in \(\mathbb R^2\) form a basis.
    2. Solve \(a+b=3\), \(a-b=1\): \(a=2\), \(b=1\). Coordinates \((2,1)\).
    3. \(a+b=2\), \(a-b=6\): \(a=4\), \(b=-2\). Coordinates \((4,-2)\).
    4. The reflection fixes \(\mathbf d_1=(1,1)\) and sends \(\mathbf d_2=(1,-1)\) to \((-1,1)=-\mathbf d_2\). In the basis \(\mathcal B\) its matrix is \(\begin{pmatrix}1&0\\0&-1\end{pmatrix}\).
  13. Answer to Question 13

    1. \(R(1,0)=(0,1)\) and \(R(0,1)=(-1,0)\), so the matrix is \(\begin{pmatrix}0&-1\\1&0\end{pmatrix}\).
    2. No non-zero vector is sent to zero, so the kernel is \(\{\mathbf 0\}\). By rank-nullity the rank is 2, so the image is all of \(\mathbb R^2\). Hence \(R\) is injective and surjective: an isomorphism.
    3. After 1 minute: \((-1,3)\). After 2: \((-3,-1)\). After 3: \((1,-3)\). After 4: \((3,1)\).
    4. Four quarter turns make one full turn, which returns every vector to its starting position. In matrices, \(R^2=-I\), so \(R^4=(-I)^2=I\).
  14. Answer to Question 14

    1. Carbon: \(3a=c\). Hydrogen: \(8a=2d\). Oxygen: \(2b=2c+d\).
    2. \(A=\) \(\begin{pmatrix}3&0&-1&0\\8&0&0&-2\\0&2&-2&-1\end{pmatrix}\). From the first two equations \(c=3a\) and \(d=4a\). The third gives \(2b=6a+4a=10a\), so \(b=5a\). The kernel is spanned by \((1,5,3,4)\).
    3. The kernel has dimension 1. There are four unknowns and three independent equations, so \(4-3=1\) by rank-nullity; the single free parameter is the overall scale of the reaction.
    4. Taking \(a=1\): \(\mathrm{C_3H_8}+5\,\mathrm{O_2}\to3\,\mathrm{CO_2}+4\,\mathrm{H_2O}\).
  15. Answer to Question 15

    1. \(U\): \(\{(-1,1,0),(-1,0,1)\}\) (dimension 2). \(W\): \((x,x,z)=x(1,1,0)+z(0,0,1)\), basis \(\{(1,1,0),(0,0,1)\}\) (dimension 2).
    2. Points with \(x=y\) and \(x+y+z=0\) have \(z=-2x\): \((x,x,-2x)=x(1,1,-2)\). So \(U\cap W\) is the line spanned by \((1,1,-2)\), dimension 1.
    3. \(\dim(U+W)=2+2-1=\) 3, so \(U+W=\mathbb R^3\).
    4. \((1,-1,0)\in U\) and \((0,0,1)\in W\), but their sum \((1,-1,1)\) has \(x+y+z=1\ne0\) and \(x\ne y\), so it is in neither: \(U\cup W\) is not closed under addition.
  16. Answer to Question 16

    1. \(T(\lambda p+\mu q)\) has entries \(\lambda p(t)+\mu q(t)\), so \(T\) is linear. The images are \(T(1)=(1,1,1)\), \(T(t)=(0,1,2)\), \(T(t^2)=(0,1,4)\), so the matrix is \(\begin{pmatrix}1&0&0\\1&1&1\\1&2&4\end{pmatrix}\).
    2. \(\det=1(4-2)=2\ne0\), so \(T\) is invertible: for any three values there is exactly one polynomial of degree at most 2.
    3. Solve \(a=1\), \(a+b+c=3\), \(a+2b+4c=7\): \(b+c=2\), \(2b+4c=6\) so \(c=1\), \(b=1\). Hence \(p(t)=1+t+t^2\).
    4. \(p(3)=1+3+9=13\). Three data points fit a quadratic exactly, but a perfect fit does not mean the prediction is reliable: seasonal or random effects are ignored.
  17. Answer to Question 17

    1. Row 1 + row 2 \(=(1,3,1,2)=\) row 3. The first two rows are independent, so the rank is 2.
    2. Solve \(x_1+2x_2+x_4=0\) and \(x_2+x_3+x_4=0\). Put \(x_3=s\), \(x_4=t\): \(x_2=-s-t\) and \(x_1=-2x_2-x_4=2s+2t-t=2s+t\). So \((x_1,\dots,x_4)=s(2,-1,1,0)+t(1,-1,0,1)\). A basis: \(\{(2,-1,1,0),(1,-1,0,1)\}\).
    3. The columns are \((1,0,1)\), \((2,1,3)\), \((0,1,1)\), \((1,1,2)\). The first two are independent and the others are combinations of them, so a basis of the image is \(\{(1,0,1),(2,1,3)\}\).
    4. Rank \(2\) + nullity \(2\) \(=4\), the number of columns. The kernel consists of signal patterns that the monitors cannot detect.
  18. Answer to Question 18

    1. \(t=0\): \(a+b=0\). \(t=\frac\pi2\): \(a+c=0\). \(t=\pi\): \(a-b=0\). From the first and third, \(a=b=0\) (adding gives \(2a=0\)), then \(c=0\).
    2. The only linear combination that equals the zero function is the trivial one, so the three functions are linearly independent.
    3. \(g=1\cdot f_2+1\cdot f_3\), so the coordinates with respect to \((f_2,f_3)\) are \((1,1)\).
    4. \(\{\cos t,\sin t\}\) is a basis: both solve \(y''+y=0\), and they are independent. The constant function 1 does not solve it.
  19. Answer to Question 19

    1. \(T(1,1)=(4,4)=4(1,1)\) and \(T(1,-1)=(2,-2)=2(1,-1)\).
    2. The matrix is diagonal: \(\begin{pmatrix}4&0\\0&2\end{pmatrix}\).
    3. \((2,0)=1(1,1)+1(1,-1)\). Applying \(T^5\) multiplies the first component by \(4^5=1024\) and the second by \(2^5=32\): \(T^5(2,0)=1024(1,1)+32(1,-1)=(1056,992)\).
    4. The direction \((1,1)\) (equal amounts in each tank) is multiplied by 4 each step, while the direction \((1,-1)\) (difference between the tanks) is multiplied by 2. The total grows faster than the imbalance.
  20. Answer to Question 20

    1. \((\alpha+\gamma)\mathbf u+(\alpha+\beta)\mathbf v+(\beta+\gamma)\mathbf w=\mathbf 0\).
    2. By independence all three coefficients vanish: \(\alpha+\gamma=0\), \(\alpha+\beta=0\), \(\beta+\gamma=0\).
    3. Adding all three: \(2(\alpha+\beta+\gamma)=0\), so \(\alpha+\beta+\gamma=0\). Subtracting each equation: \(\beta=0\), \(\gamma=0\), \(\alpha=0\). Hence only the trivial combination works.
    4. The matrix is \(\begin{pmatrix}1&0&1\\1&1&0\\0&1&1\end{pmatrix}\) with determinant \(2\). A non-zero determinant means the new vectors are independent. Modulo 2 the determinant is \(0\) (and in fact \((\mathbf u+\mathbf v)+(\mathbf v+\mathbf w)+(\mathbf w+\mathbf u)=2(\mathbf u+\mathbf v+\mathbf w)=\mathbf 0\)), so the vectors are dependent: the step "divide by 2" is impossible.

How to use these University vector spaces and linear maps worksheet answers

First, try every question on the worksheet without looking. Then compare your working with the solution line by line, not only the final answer. When your answer is different, find the first step that changes, because that is where the mistake is. After that, read the matching part of the vector spaces and linear maps lesson again. Finally, check that the method is secure with the quiz or the test.

Also, the University vector spaces and linear maps worksheet answers are available as a PDF, so you can mark printed work quickly. Moreover, all the pages of this chapter work together, so you can move between them at any time. For example, many pupils read the lesson on Monday, practise on Wednesday and test themselves on Friday. In short, these University vector spaces and linear maps worksheet answers show every step, so nothing is left unexplained.