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anonymous

  • 5 years ago

The vector u = (3900, 5300) gives the number of units of two models of laptops produced by a company. The vector v = (2000, 1100) gives the prices (in dollars) of the two models of laptops, respectively. Identify the vector operation used to increase revenue by 5%.

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  1. amistre64
    • 5 years ago
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    what vector operation whould we perform on these?

  2. anonymous
    • 5 years ago
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    dot product?

  3. amistre64
    • 5 years ago
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    thats a vector operation fer sure; but is it applicable:)

  4. amistre64
    • 5 years ago
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    i dont know if we add them of what lol

  5. anonymous
    • 5 years ago
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    well my guess is I have to do something to find magnitude....

  6. amistre64
    • 5 years ago
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    dot product doesnt give a magnitude per se; just a scalar amount

  7. anonymous
    • 5 years ago
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    it fels empty without you amistre

  8. amistre64
    • 5 years ago
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    lol.... um.. glad to hear :)

  9. amistre64
    • 5 years ago
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    it should at least feel quezy now that im back :

  10. anonymous
    • 5 years ago
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    you gobble up medals like hell

  11. amistre64
    • 5 years ago
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    just call me pac-man lol

  12. amistre64
    • 5 years ago
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    we can create linear representations maybe?

  13. anonymous
    • 5 years ago
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    oh ok...

  14. amistre64
    • 5 years ago
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    2000 for a laptop, is that what im reading?

  15. anonymous
    • 5 years ago
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    I think V has two prices for two different laptops

  16. amistre64
    • 5 years ago
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    right, but the vector itself is an arrow with a slope of y/x... its component parts

  17. anonymous
    • 5 years ago
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    ok I gotcha... so the 3900 laptops cost 2000

  18. amistre64
    • 5 years ago
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    i cant parse the question tho... how much revenue was made in order to know how much 5% of an increase is....

  19. amistre64
    • 5 years ago
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    yes

  20. amistre64
    • 5 years ago
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    revenue = number sold * price per unit right?

  21. anonymous
    • 5 years ago
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    uhm.. idk it doesn't say... but yes revenue does equal that A) u.(1.05)llvll B) 1.05(u.v) C) 1.05llu.vll D) 1.05llull.v E) 1.05(u+v)

  22. amistre64
    • 5 years ago
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    that helps :) 1.05 is the amount you would normal multiply by to find the total paid for something..

  23. amistre64
    • 5 years ago
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    B makes no sense; since dpt product doesnt produce another vector..

  24. amistre64
    • 5 years ago
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    A makes no sense since you cant dot product to a number

  25. anonymous
    • 5 years ago
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    right....I still don't really get the 1.05 thing but that's ok I guess

  26. amistre64
    • 5 years ago
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    c is asking for the magnitude of a scalar number which is pointless

  27. anonymous
    • 5 years ago
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    E? that would be my guess

  28. amistre64
    • 5 years ago
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    E is the only one that makes sense to me as far as vectot operations go

  29. anonymous
    • 5 years ago
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    ok That's what i had down , but wasn't sure Thank you....

  30. amistre64
    • 5 years ago
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    when will you know if its right :)

  31. anonymous
    • 5 years ago
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    Uhm idk when I turn it in I guess... I have six more problems to work through with dot product and vectors and what not

  32. anonymous
    • 5 years ago
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    I think it might be d actually.

  33. anonymous
    • 5 years ago
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    Oh wait, no. I misread that

  34. anonymous
    • 5 years ago
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    B makes the most sense to me. (u.v) would be the revenue (the quantities of each laptop produced times that laptop's price). So 1.05*(u.v) would increase the revenue by 5%.

  35. anonymous
    • 5 years ago
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    Unit analysis comes in handy here. u.v = <quantity, quantity> . < money/quantity, money/quantity> = (quantity * money/quantity) + (quantity * money/quantity) = money u+v = <quantity, quantity> . < money/quantity, money/quantity> = <quantity + money/quantity, quantity + money/quantity> Which doesn't really make sense for revenue to be a vector.

  36. amistre64
    • 5 years ago
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    doesnt (u.v) represent a vector produced from a scalar amount tho? not quite sure how to read the notation

  37. anonymous
    • 5 years ago
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    ya you were right it was b....

  38. anonymous
    • 5 years ago
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    The dot product of vectors is a scalar.

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