Difference Between Vectors and Scalars

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Vectors are defined as mathematical entities that possess both magnitude and direction, while scalars are simply numerical values without direction. The primary distinction lies in their addition and subtraction methods, with vectors requiring consideration of direction. Additionally, vectors can represent more complex mathematical objects that may not always exhibit clear notions of direction or magnitude, as seen in certain vector spaces like continuous functions. Understanding these differences is crucial for grasping the broader applications of vectors in various fields. The discussion emphasizes the importance of context when defining and utilizing vectors and scalars.
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whats the difference between

Vectors and Scalars

thanx
 
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Open a book on vectors and read the definitions!

I'm not (just) being facetious. There are several different ways of looking at, and thinking about, vectors and the answer to your question depends upon which one you mean.

In the simplest sense (what I think of as the "Physics" definition) vectors are things that have both a numerical value and a "direction". Scalars are simply numbers. One defines "scalar multiplication", multiplying a scalar by a vector, as multiplying the numerical value of the vector by the scalar (so we are multiplying a number by a number) while leaving the direction of the vector unchanged.

That's probably the definition you want.
 
ohhh i c...

thanx
 
Scalars are magnitude
Vectors are magnitude AND direction.
The major difference is how they are added and subtracted, but that's another story...
 
Vectors are magnitude AND direction.
The notion of vector really encompasses much, much more than this. Essentially, vectors are any mathematical objects that can be combined linearly to still produce more of the same kind of objects. That so, there are plenty of examples of vectors that don't present any notion of "direction" (or even "magnitude" -- not all vector spaces have norms.) The space of continuous functions on the interval [-1,1] is a vector space, but it would be hard to say that the functions that comprise it have a "magnitude and direction."
 
comparing a flat solar panel of area 2π r² and a hemisphere of the same area, the hemispherical solar panel would only occupy the area π r² of while the flat panel would occupy an entire 2π r² of land. wouldn't the hemispherical version have the same area of panel exposed to the sun, occupy less land space and can therefore increase the number of panels one land can have fitted? this would increase the power output proportionally as well. when I searched it up I wasn't satisfied with...

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