Exercises
Vector spaces:- Let V be a complex inner product space and let u,v∈V.u,v∈V. Show that
⟨u,v⟩=12π∫π−πejθ‖u+ejθv‖2dθ.
- For the following problems, use Gauss-Jordan Elimination to put the matrices in RREF. (a)A=[2−24−221107−44−844−1146],(b)A=[134142−32103−119]
- If matrix A represents an augmented matrix system of equations of the form ax1+bx2+cx3=d, find the values of x1, x2, and x3. (a)A=[122123603470],(b)A=[24−1−9−11−1−6−3343]
- For which two numbers a will elimination fail on matrix [a1a1]?
- For which hree numbers a will elimination fail to give three pivots? [a14aa3aaa].
- Find the matrix for the transformation. (a)S([x1x2x3])=[1x1+4x2−5x3−3x1+3x2−2x31x1+−2x2+6x3];(b)T([x1x2x3])=[5x1+3x2−4x3x2+2x3]; (c)U([x1x2x3])=[x1−x2+x33x1+x2−x32x1+2x2+x3]
- Is the following transformation linear? Check that both axioms T(A+B)=T(A)+T(B) and T(c*A)=c*T(A) are satisfied. (a)S([x1x2])=[−x1+3x20];(b)T([x1x2x3])=[2x1−4x2−2x3]; (c)U([x1x2x3x4])=[x1−x23x2+2x3−x3−4x4];(d)V([x1x2x3x4x5x6])=[x1+3x2+2x3+1x5−x1−x2−x3+x4+x64x2+2x3+4x4+3x5+3x6x1+3x2+2x3−2x4].
-
Find the composition of transformations S with T, i.e.
S∘T.
- S: [x1x2]↦[x1+3x26x1+5x23x1+8x2]T: [x1x2x3]↦[x1+3x2+7x3−x1−2x2+6x3−4x1+x2−7x3]
- S: [x1x2]↦[−2x1+3x24x2−3x1−2x2x1−2x2],T: [x1x2x3x4]↦[x2−2x3+x42x1+5x2−2x3−x1+2x2−3x3+2x4].
Affine Maps
- Let P, Q, R, S be points in an affine space A such that P − Q = R − S. Show that F(P) − F(Q) = F(R) − F(S) for any affine transformation F.
- Determine the matrix representation of the affine transformation S : 𝔸 → 𝔸 if 𝔸 = (A, ℝ²) and S(P) = Q where Q = (αx, βy) for P = (x, y). What type of transformation is this?
Lebel the following statements as being true or false.
- Another notation for the vector [3−4] is [ 3 -4 ].
- The set span{ u, v } of two vectors u and v is always visualized as a plane through the origin.
- An example of a linear combination of vectors u and v is 2u.
- For two nonzero vectors u and v from ℝn, span{ u, v } contains the line through v and the origin.
- The set span{ u, v } is always visualized as a plane through the origin.
- If T : V → U is a linear transformation from one vector space into another vector space, then T carries linearly independent subsets of V onto linearly independent subsets of U.
- If T : V ↦ U is a linear transformation from one vector space into another vector space, then T preserves scalar products.
- Is the following transformation $\DS S \,:\, \mathbb{C}^3 \,\to\,\mathbb{C}^3$ linear? S([x12x2x3])=[3x1−x3−x1+2x2x2+3x3−5],
- Any system of n linear equations in n variables has at most n solutions.
- Every matrix is row equivalent to a unique matrix in echelon form.
- If a system of linear equations has two distinct solutions, it must have infinitely many solutions.
- If an augmented matrix [A b] is transformed into [B c] by elementary row operations, then the equations Ax = b and Bx = c have exactly the same solution set.
- If u and v are in ℝm, then -u is in Span{ u, v }.
- If a system Ax = b has more than one solution, then so does the system Ax = 0.
- If A is an m×n matrix and the equation Ax = b is consistent for some b, then the columns of A span ℝm.
- If none of the vectors in the set S= { u1, u2, u3 } in ℝ³ is a multiple of one of the other vectors, then S is linearly independent.
- If an augmented matrix [A b] can be transformed by elementary row operations into reduced echelon form, then the equation Ax = b is consistent.
- Any set containing the zero vector is linearly dependent.
- Subsets of a linearly dependent set are linearly dependent.
- If w is a linear combination of u and v in ℝm, then u is a linear combination of v and w.
- If S is a linearly dependent set, then each element of S is a linear combination of other elements of S.
- If A is an m×n matrix and the equation Ax = b is consistent for every b in ℝm, then A has m pivot columns.
- If an m×n matrix A has a pivot position in every row, then the equation Ax = b has aunique solution for each b in ℝm.
- If an m×n matrix A has n pivot positions, then the reduced echelon form of A is the n×n identity matrix.
- The empty set is linearly dependent.
- Subsets of linearly independent sets are linearly independent.
- The span of ∅ is ∅.
- The zero vector is a linear combination of any nonempty set of vectors.
- In solving a system of linear equations it is permissible to add a multiple of one equation to another.
- Every system of linear equations has a solution.
- If 3×3 matrices A and B each have three pivot positions, then A can be transformed into B by elementary row operations.
- Any system of n linear equations in n variables has at most n solutions.
- For a m×n matrix A, if the equation Ax = b has at least two different solutions, and if the equation Ax = c is consistent, then the equation Ax = c has many solutions.
- If m×n matrices A and B are row equivalent and if the columns of A span ℝm, then so do the columns of B.
- If none of the vectors in the set S = { v1, v2, v3 } in ℝ³ is a multiple of one of the other vectors, then S is linearly independent.
- If u, v, and w are nonzero vectors in ℝ², then u is a linear combination of v and w.
- If A is an m×n matrix with m pivot columns, then the linear transformation x ↦ Ax is a one-to-one mapping.