the ear nt. is lie he in ns ne Each statement in Exercises 33-38 is either true (in all cases) or false (for at least one example). If false, construct a specific example to show that the statement is not always true. Such an example is called a counterexample to the statement. If a statement is true, give a justification. (One specific example cannot explain why a statement is always true. You will have to do more work here than in Exercises 21 and 22.) 33. If v₁...., V4 are in R4 and v3 = 2v₁ + V2, then {V₁, V2, V3, V4) is linearly dependent. 34. If V₁..... V are in R¹ and v3 = 0, then {V₁, V2, V3, V4) is linearly dependent. 35. If v₁ and v₂ are in R4 and v₂ is not a scalar multiple of VI then {V₁, V₂} is linearly independent. 36. If v₁...., V4 are in R* and v3 is not a linear combination of V₁, V2, V4, then {V₁, V2, V3, V4} is linearly independent. 37. If v₁...., V4 are in R4 and {V₁, V2, V3} is linearly dependent. then {V₁, V2, V3. V4) is also linearly dependent. 38. If V₁..... V4 are linearly independent vectors in R¹, then (V1, V2. V3) is also linearly independent. [Hint: Think about X₁V₁ + X₂V₂ + x3V3 +0 V4 = 0.]
the ear nt. is lie he in ns ne Each statement in Exercises 33-38 is either true (in all cases) or false (for at least one example). If false, construct a specific example to show that the statement is not always true. Such an example is called a counterexample to the statement. If a statement is true, give a justification. (One specific example cannot explain why a statement is always true. You will have to do more work here than in Exercises 21 and 22.) 33. If v₁...., V4 are in R4 and v3 = 2v₁ + V2, then {V₁, V2, V3, V4) is linearly dependent. 34. If V₁..... V are in R¹ and v3 = 0, then {V₁, V2, V3, V4) is linearly dependent. 35. If v₁ and v₂ are in R4 and v₂ is not a scalar multiple of VI then {V₁, V₂} is linearly independent. 36. If v₁...., V4 are in R* and v3 is not a linear combination of V₁, V2, V4, then {V₁, V2, V3, V4} is linearly independent. 37. If v₁...., V4 are in R4 and {V₁, V2, V3} is linearly dependent. then {V₁, V2, V3. V4) is also linearly dependent. 38. If V₁..... V4 are linearly independent vectors in R¹, then (V1, V2. V3) is also linearly independent. [Hint: Think about X₁V₁ + X₂V₂ + x3V3 +0 V4 = 0.]
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
Related questions
Question
33,37
Expert Solution
This question has been solved!
Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.
This is a popular solution!
Trending now
This is a popular solution!
Step by step
Solved in 2 steps with 2 images
Recommended textbooks for you
Advanced Engineering Mathematics
Advanced Math
ISBN:
9780470458365
Author:
Erwin Kreyszig
Publisher:
Wiley, John & Sons, Incorporated
Numerical Methods for Engineers
Advanced Math
ISBN:
9780073397924
Author:
Steven C. Chapra Dr., Raymond P. Canale
Publisher:
McGraw-Hill Education
Introductory Mathematics for Engineering Applicat…
Advanced Math
ISBN:
9781118141809
Author:
Nathan Klingbeil
Publisher:
WILEY
Advanced Engineering Mathematics
Advanced Math
ISBN:
9780470458365
Author:
Erwin Kreyszig
Publisher:
Wiley, John & Sons, Incorporated
Numerical Methods for Engineers
Advanced Math
ISBN:
9780073397924
Author:
Steven C. Chapra Dr., Raymond P. Canale
Publisher:
McGraw-Hill Education
Introductory Mathematics for Engineering Applicat…
Advanced Math
ISBN:
9781118141809
Author:
Nathan Klingbeil
Publisher:
WILEY
Mathematics For Machine Technology
Advanced Math
ISBN:
9781337798310
Author:
Peterson, John.
Publisher:
Cengage Learning,