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ANTONII [103]
1 year ago
13

The Mariana Trench is 11 km below sea level. The Japan Trench is 9 km below sea level. What is the difference of depths between

them, and which trench is deeper?
2 km, and the Mariana Trench is deeper
−2 km, and the Japan Trench is deeper
20 km, and the Japan Trench is deeper
−20 km, and the Mariana Trench is deeper
Mathematics
2 answers:
scoray [572]1 year ago
8 0

The difference of depths between them, and the deeper trench is A. 2 km, and the Mariana Trench is deeper

<h3>What is depth?</h3>

Depth is simply known as a dimension taken through an object or body of material, usually downward from an upper surface or horizontally inward from an outer surface, or from top to the bottom.

We have that:

  • The Mariana Trench is 11 km below sea level
  • The Japan Trench is 9 km below sea level

The difference of depth between them is;

= 11km - 9km

= 2km

The Mariana Trench has a larger depth as thus is deeper than the Japan Trench

Thus, the correct option is A. 2 km, and the Mariana Trench is deeper

Learn more about depth here:

brainly.com/question/4128470

#SPJ1

Rudiy271 year ago
6 0

The difference of depths between them, and which trench is deeper is (a) 2 km, and the Mariana Trench is deeper

<h3>What is the difference of depths between them, and which trench is deeper?</h3>

The given parameters are:

Mariana Trench = 11 km

Japan Trench = 9 km

The Mariana Trench is deeper because 11 is greater than 9

The difference between the depth is

Difference = 11 km - 9 km

Difference = 2 km

Hence, the difference of depths between them, and which trench is deeper is (a) 2 km, and the Mariana Trench is deeper

Read more about depth at:

brainly.com/question/25823081

#SPJ1

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Step-by-step explanation:

Earlier this month, news broke of progress on this 82-year-old question, thanks to prolific mathematician Terence Tao. And while the story of Tao’s breakthrough is good news, the problem isn’t fully solved.

A refresher on the Collatz Conjecture: It’s all about that function f(n), shown above, which takes even numbers and cuts them in half, while odd numbers get tripled and then added to 1. Take any natural number, apply f, then apply f again and again. You eventually land on 1, for every number we’ve ever checked. The Conjecture is that this is true for all natural numbers.

Tao’s recent work is a near-solution to the Collatz Conjecture in some subtle ways. But his methods most likely can’t be adapted to yield a complete solution to the problem, as he subsequently explained. So we might be working on it for decades longer.

The Conjecture is in the math discipline known as Dynamical Systems, or the study of situations that change over time in semi-predictable ways. It looks like a simple, innocuous question, but that’s what makes it special. Why is such a basic question so hard to answer? It serves as a benchmark for our understanding; once we solve it, then we can proceed to much more complicated matters.

The study of dynamical systems could become more robust than anyone today could imagine. But we’ll need to solve the Collatz Conjecture for the subject to flourish.Earlier this month, news broke of progress on this 82-year-old question, thanks to prolific mathematician Terence Tao. And while the story of Tao’s breakthrough is good news, the problem isn’t fully solved.

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The study of dynamical systems could become more robust than anyone today could imagine. But we’ll need to solve the Collatz Conjecture for the subject to flourish.Earlier this month, news broke of progress on this 82-year-old question, thanks to prolific mathematician Terence Tao. And while the story of Tao’s breakthrough is good news, the problem isn’t fully solved.

A refresher on the Collatz Conjecture: It’s all about that function f(n), shown above, which takes even numbers and cuts them in half, while odd numbers get tripled and then added to 1. Take any natural number, apply f, then apply f again and again. You eventually land on 1, for every number we’ve ever checked. The Conjecture is that this is true for all natural numbers.

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