Finding Acceleration in a Shopping Cart Rolling Downhill

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In summary, Jill is trying to sprint after a cart that is rolling down a tilted parking lot at a speed of 2.0m/s^2. She uses two equations to find the cart's momentum and finds that the cart has a momentum of .51m/s^2.
  • #1
Mirole
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Homework Statement


Jill has just gotten out of her car in the grocery store parking lot. The parking lot is on a hill and is tilted 3 degrees. Fifty meters downhill from Jill, a little old lady let's go of a fully loaded shopping cart. The cart, with frictionless wheels, starts to roll straight downhill. Jill immediately starts to sprint after the cart with her top acceleration of 2.0m/s^2.

Homework Equations





The Attempt at a Solution


a(cart)=g*sin3=.51m/s^2

I know I need to use two equations to find the solution, but I am utterly confused on which two to use.
 
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  • #2
Welcome to PF!

Hi Mirole! Welcome to PF! :smile:
Mirole said:
Jill has just gotten out of her car in the grocery store parking lot. The parking lot is on a hill and is tilted 3 degrees. Fifty meters downhill from Jill, a little old lady let's go of a fully loaded shopping cart. The cart, with frictionless wheels, starts to roll straight downhill. Jill immediately starts to sprint after the cart with her top acceleration of 2.0m/s^2.

Use the usual https://www.physicsforums.com/library.php?do=view_item&itemid=204" equations, but use s in one and s + 50 in the other. :wink:
 
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  • #3


tiny-tim said:
Hi Mirole! Welcome to PF! :smile:


Use the usual https://www.physicsforums.com/library.php?do=view_item&itemid=204" equations, but use s in one and s + 50 in the other. :wink:

Alright, thinking about it.

I went:

S(1) = 1/2*a(j)*t^2
S(2) = 50 + 1/2*a(cart)*t^2

I set them equal to each other.

1/2*a(j)*t^2 = 50 + 1/2*a(cart)*t^2

1/2*2*t^2 = 50 + 1/2*.51*t^2
Cross off the t^2s.

1=50+1/2*.51
1=50.255

That's obviously not right, and this problem has given me a mental block. :(
 
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  • #4
Hi Mirole! :smile:

(try using the X2 tag just above the Reply box :wink:)
Mirole said:
1/2*2*t^2 = 50 + 1/2*.51*t^2
Cross off the t^2s.

1=50+1/2*.51

"Cross off the t^2s" ??

get some sleep! :zzz:​
 

1. What is a "shopping cart problem"?

A shopping cart problem is a common mathematical problem that involves finding the minimum cost or distance to purchase a set of items. In this problem, you are given a list of items with their prices and you must determine the optimal combination of items to purchase that minimizes the total cost. This problem has applications in various fields such as supply chain management and operations research.

2. How do you solve a shopping cart problem?

To solve a shopping cart problem, you can use various techniques such as dynamic programming, greedy algorithms, or linear programming. These techniques involve breaking down the problem into smaller subproblems and finding the optimal solution for each subproblem. Then, the optimal solution for the original problem is determined by combining the optimal solutions for the subproblems.

3. What are the key assumptions in a shopping cart problem?

The key assumptions in a shopping cart problem include:

  • All items are available in unlimited quantities.
  • The prices of the items are fixed and do not change.
  • The total cost of the items is calculated by summing the prices of each individual item.
  • The goal is to minimize the total cost without going over a given budget or maximum weight limit.

4. How is a shopping cart problem different from the knapsack problem?

A shopping cart problem and a knapsack problem are similar in that they both involve finding the optimal combination of items to minimize a cost or weight limit. However, in a shopping cart problem, the items are available in unlimited quantities and the goal is to minimize the total cost. In a knapsack problem, the items have a limited quantity and the goal is to maximize the value or weight within a given capacity.

5. What are the real-life applications of a shopping cart problem?

A shopping cart problem has various real-life applications, including:

  • In retail, it can be used to optimize product pricing and promotions to maximize profits.
  • In e-commerce, it can be used to recommend products to customers based on their previous purchases.
  • In transportation and logistics, it can be used to optimize delivery routes and minimize costs.
  • In resource allocation, it can be used to optimize the use of resources to reduce costs.

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