It seems a bit strange that we would write it this way, given that $(\vec{v} \cdot \nabla )$ doesn't really have any inherent meaning, whereas $(\nabla \vec{u})$ does.
2026-05-04 18:12:19.1777918339
Why do we generally write $(\vec{v} \cdot \nabla )\vec{u}$ as opposed to $\vec{v} \cdot (\nabla \vec{u})$?
59 Views Asked by Bumbble Comm https://math.techqa.club/user/bumbble-comm/detail At
1
There are 1 best solutions below
Related Questions in SOFT-QUESTION
- Reciprocal-totient function, in term of the totient function?
- Ordinals and cardinals in ETCS set axiomatic
- Does approximation usually exclude equality?
- Transition from theory of PDEs to applied analysis and industrial problems and models with PDEs
- Online resources for networking and creating new mathematical collaborations
- Random variables in integrals, how to analyze?
- Could anyone give an **example** that a problem that can be solved by creating a new group?
- How do you prevent being lead astray when you're working on a problem that takes months/years?
- Is it impossible to grasp Multivariable Calculus with poor prerequisite from Single variable calculus?
- A definite integral of a rational function: How can this be transformed from trivial to obvious by a change in viewpoint?
Related Questions in NOTATION
- Symbol for assignment of a truth-value?
- Does approximation usually exclude equality?
- Is division inherently the last operation when using fraction notation or is the order of operation always PEMDAS?
- Question about notation $S^c$
- strange partial integration
- What does Kx mean in this equation? [in Carnap or Russell and Whitehead's logical notation]
- Need help with notation. Is this lower dot an operation?
- What does this "\" mathematics symbol mean?
- Why a set or vector start counting from a negative or zero index?
- How to express a sentence having two for all?
Related Questions in VECTORS
- Proof that $\left(\vec a \times \vec b \right) \times \vec a = 0$ using index notation.
- Constrain coordinates of a point into a circle
- Why is the derivative of a vector in polar form the cross product?
- Why does AB+BC=AC when adding vectors?
- Prove if the following vectors are orthonormal set
- Stokes theorem integral, normal vector confusion
- Finding a unit vector that gives the maximum directional derivative of a vector field
- Given two non-diagonal points of a square, find the other 2 in closed form
- $dr$ in polar co-ordinates
- How to find reflection of $(a,b)$ along $y=x, y = -x$
Related Questions in VECTOR-ANALYSIS
- Does curl vector influence the final destination of a particle?
- Gradient and Hessian of quadratic form
- Regular surfaces with boundary and $C^1$ domains
- Estimation of connected components
- Finding a unit vector that gives the maximum directional derivative of a vector field
- Gradient of transpose of a vector.
- Solve line integral
- Directional derivative: what is the relation between definition by limit and definition as dot product?
- Chain rule with intermediate vector function
- For which $g$ is $f(x)= g(||x||) \frac{x}{||x||}$ divergence free.
Trending Questions
- Induction on the number of equations
- How to convince a math teacher of this simple and obvious fact?
- Find $E[XY|Y+Z=1 ]$
- Refuting the Anti-Cantor Cranks
- What are imaginary numbers?
- Determine the adjoint of $\tilde Q(x)$ for $\tilde Q(x)u:=(Qu)(x)$ where $Q:U→L^2(Ω,ℝ^d$ is a Hilbert-Schmidt operator and $U$ is a Hilbert space
- Why does this innovative method of subtraction from a third grader always work?
- How do we know that the number $1$ is not equal to the number $-1$?
- What are the Implications of having VΩ as a model for a theory?
- Defining a Galois Field based on primitive element versus polynomial?
- Can't find the relationship between two columns of numbers. Please Help
- Is computer science a branch of mathematics?
- Is there a bijection of $\mathbb{R}^n$ with itself such that the forward map is connected but the inverse is not?
- Identification of a quadrilateral as a trapezoid, rectangle, or square
- Generator of inertia group in function field extension
Popular # Hahtags
second-order-logic
numerical-methods
puzzle
logic
probability
number-theory
winding-number
real-analysis
integration
calculus
complex-analysis
sequences-and-series
proof-writing
set-theory
functions
homotopy-theory
elementary-number-theory
ordinary-differential-equations
circles
derivatives
game-theory
definite-integrals
elementary-set-theory
limits
multivariable-calculus
geometry
algebraic-number-theory
proof-verification
partial-derivative
algebra-precalculus
Popular Questions
- What is the integral of 1/x?
- How many squares actually ARE in this picture? Is this a trick question with no right answer?
- Is a matrix multiplied with its transpose something special?
- What is the difference between independent and mutually exclusive events?
- Visually stunning math concepts which are easy to explain
- taylor series of $\ln(1+x)$?
- How to tell if a set of vectors spans a space?
- Calculus question taking derivative to find horizontal tangent line
- How to determine if a function is one-to-one?
- Determine if vectors are linearly independent
- What does it mean to have a determinant equal to zero?
- Is this Batman equation for real?
- How to find perpendicular vector to another vector?
- How to find mean and median from histogram
- How many sides does a circle have?
$\vec v \cdot \nabla$ has an inherent meaning in the same way that $\nabla$ has an inherent meaning: both denote operators on differentiable functions.
We can think of $\nabla$ as the operator $$ f \xrightarrow{\mspace{4mu}\fbox{$\nabla$}\mspace{4mu}} \nabla f = \left(\frac{\partial f}{\partial x}, \frac{\partial f}{\partial y}, \frac{\partial f}{\partial z} \right) $$ Likewise, for $\vec u = (u_1,u_2,u_3)$, we can think of $\vec u \cdot \nabla$ as the operator $$ f \xrightarrow{\mspace{4mu}\fbox{$\vec u \cdot \nabla$}\mspace{4mu}} \vec u \cdot \nabla f = \vec u \cdot \left(\frac{\partial f}{\partial x}, \frac{\partial f}{\partial y}, \frac{\partial f}{\partial z} \right) = u_1 \frac{\partial f}{\partial x} + u_2\frac{\partial f}{\partial y} + u_3 \frac{\partial f}{\partial z} $$ Note that the meaning of $\vec u \cdot \nabla$ is quite distinct from that of $\nabla \vec u$ or $\nabla \cdot \vec u$.