Laplacian Calculator

The Laplacian calculator can give you an accurate solution of the Laplacian function and determine the partial differential equations quickly.

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Introduction to Laplacian Calculator:

Laplacian calculator with steps is an online tool that helps you to find the solution of Laplacian function in a few seconds. Our tool evaluates the partial differential equations with respect to its independent variable.

Laplacian Calculator with Steps

Laplacian operator calculator is the best source that provides you with solutions of complex partial differential equations quickly and easily.

What is Laplacian?

Laplacian method is a second-order differential method, defined as the sum of the second partial derivatives of a function with respect to its independent variables. It is denoted as delta or square of delta for second order differential equation Δ or ∇².

It appears in different branches of mathematics, physics, and engineering to find differential equations, build and heat transfer processes, etc. Laplacian for second-order partial differential equation has two or three-dimensional space. The laplacian formula used by the laplacian calculator is,

$$ \Delta \;=\; \frac{\partial^2}{\partial x^2} + \frac{\partial^2}{\partial y^2} $$

$$ \Delta \;=\; \frac{\partial^2}{\partial x^2} + \frac{\partial^2}{\partial y^2} + \frac{\partial^2}{\partial z^2} $$

How to Calculate the Laplacian Problem?

For the calculation of Laplacian of a function, the laplacian in spherical coordinates calculator follows a step-by-step process. It helps to get a solution of its second partial derivatives with respect to each independent variable.

Here’s a step-by-step process that tells how to calculate the Laplacian for a function u(x, y, z) in three-dimensional space. Suppose u(x, y, z) is a function that defined in three-dimensional Cartesian coordinates (x, y, z):

Step 1:

Write down the function u(x, y, z) for which you want to find the Laplacian.

For example:

$$ u(x,y,z) \;=\; x^2 + 2y + sin⁡(z) $$

Step 2:

Find the second partial derivatives of u with respect to each independent variable x, y, and z:

Partial Derivatives with respect to x:

$$ \frac{\partial u}{\partial x} \;=\; x^2 \;=\; 2x $$

$$ \frac{\partial^{2u}}{\partial x^2} \;=\; 2x \;=\; 2 $$

Partial Derivatives with respect to y:

$$ \frac{\partial u}{\partial y} \;=\; 2y \;=\; 2 $$

$$ \frac{\partial^{2u}}{\partial y^2} \;=\; 2 \;=\; 0 $$

Partial Derivatives with respect to z:

$$ \frac{\partial u}{\partial z} \;=\; sin\; z \;=\; cos\; z $$

$$ \frac{\partial^{2u}}{\partial z^2} \;=\; cos\; z \;=\; -sin\; z $$

Step 3:

Add the second partial derivatives of the x, y, and z solutions,

$$ \Delta u \;=\; \frac{\partial^{2u}}{\partial x^2} + \frac{\partial^{2u}}{\partial y^2} + \frac{\partial^{2u}}{\partial z^2} $$

Substitute the computed values:

$$ \Delta u \;=\; 2 + 0 - sin(z) $$

$$ \Delta u \;=\; 2 - sin(z) $$

By following these steps, you can easily find the Laplacian of a given function in multidimensional space effectively.

How to Use the Laplacian Calculator?

The laplacian operator calculator has a simple layout that helps you to solve the vector field or scalar field question immediately.

You just need to put your input value in this laplacian in spherical coordinates calculator. Follow some important steps to get the solution without any trouble.

Enter the differential equation (that you want to evaluate) in the input field of Laplacian operator mask calculator.
Choose the variable of differentiation with dimensional space in the next input field.
Check your given input function to get the correct solution of the differential equation question.
Click on the Calculate button to get the result of the given Laplacian function problems.
If you want to evaluate the calculation behind our laplacian vector calculator then use the load example option and get its solution.
Click the “Recalculate” button for the calculation of more examples of laplacian problems with solutions.

Results of Laplacian Operator Calculator:

Laplacian calculator with steps provides you with a solution as per your input when you click on the calculate button. It may contain as:

Result Box:

Click on the result button so you get the solution of partial differential equation.

Steps Box:

When you click on the steps option, you get the step by step result of a laplacian problem.

Benefits of Laplacian in Spherical Coordinates Calculator:

The laplacian of a vector calculator gives millions of benefits that you get when you use it to solve partial differential equation problems. It only takes the differential function and it provides you the solution.

The Laplacian vector calculator is a reliable tool because it always provides you with accurate solutions of given Laplacian problems.
It is a speedy tool that provides solutions to the given laplacian problems in a few seconds.
The Laplacian operator mask calculator is a learning tool that gives you knowledge about the laplacian operation very easily through online platforms.
It is a handy tool so it can solve various types of vector or scalar field function problems quickly and easily.
Laplacian operator calculator is a free tool, allowing you to use it for the calculation of differentiation equations multiple times without spending anything.
Laplacian calculator with steps is an easy-to-use tool, even a beginner can easily use it to get the solution of laplacian operator problems for vector or scalar fields.

Related References

How would you define Laplacian?
Explain the evaluation process of laplacian:
Give some examples of laplacian equation:
Give an overview of laplacian?

Frequently Ask Questions

Can laplacian of gaussian be normalized?

Yes, the Laplacian of Gaussian can be normalized. In this context Normalization means scaling the filter to make sure the sum of its coefficients is equals zero, so that it does not affect the overall brightness of the image when it applied.

In short, the Laplacian of Gaussian (LoG) should be normalized to ensure the correctness of the image processing applications, maintaining consistency in intensity levels across images.

Do the laplacian present in spherical?

In spherical coordinates, the Laplacian operator Δ is used to describe the scalar function in second-order partial derivative function with respect to its respective coordinates r,θ, and ϕ. he Laplacian is expressed in spherical coordinates as

A scalar function u(r,θ,ϕ) in spherical coordinates (r,θ,ϕ), the Laplacian Δu is defined as:

$$ Δ u \;=\; \frac{1}{r^2} \frac{\partial}{\partial r} (r^2 \frac{\partial u}{\partial r}) + \frac{1}{r^2 sin \theta} \frac{\partial}{\partialθ} (sin θ \frac{\partial u}{\partial θ}) + \frac{1}{r^2 sin^2θ} \frac{\partial^2 u}{\partial∅^2} $$

Does laplacian matrix have linearly independednt eigenvectors?

Yes, the Laplacian matrix has linearly independent eigenvectors. It is the property of laplacian especially in the study of Laplacian matrices, in graph theory and spectral theory.

It has linearly independent eigenvectors associated with its distinct eigenvalues that is associated with the utility of Laplacian eigenvalues and eigenvectors in graph theory and its applications.

Can you take the laplacian of a vector field?

Yes, you can take the Laplacian of a vector field. In vector calculus, the Laplacian operator Δis defined for scalar fields, but it can extended to vector fields when you apply the scalar Laplacian to each component of the vector field.

Let F(x,y,z) = (Fx(x,y,z), Fy(x,y,z), Fz(x,y,z)) be a vector field in three-dimensional Cartesian coordinates (x,y,z).

The Laplacian ΔF of the vector field F is defined as the component which is given as

$$ ΔF \;=\; (ΔFx, ΔFy, ΔFz) $$

where ΔFi represents the Laplacian of the i-th component of F:

$$ ΔF_i \;=\; ⛛^2 F_i \;=\; \frac{\partial^2 F_i}{\partial x^2} + \frac{\partial^2 F_i}{\partial y^2} + \frac{\partial^2 F_i}{\partial z^2} $$

How is laplacian different from gradient of divergence?

Both operations the laplacian and the gradient of divergence are used in vector calculus, but they have different purposes for different types of problems. Such as

Laplacian (Δ):

The Laplacian Δ is an operator that applied on scalar fields and vector fields. For a scalar function ϕ in cartesian coordinates (x,y,z), the Laplacian is defined as:

$$ Δ∅ \;=\; \frac{\partial^2∅}{\partial x^2} + \frac{\partial^2∅}{\partial y^2} + \frac{\partial^2∅}{\partial z^2} $$

It is used to measure the rate at which the average value of ϕ over infinitesimal small spheres changes. For a vector field F = (Fx, Fy, Fz) the Laplacian is applied component-wise:

$$ ΔF \;=\; (ΔF_x, ΔF_y, ΔF_z) $$

$$ ΔF_i \;=\; \frac{\partial^2 F_i}{\partial x^2} + \frac{\partial^2 F_i}{\partial y^2} + \frac{\partial^2 F_i}{\partial z^2} $$

Here, ΔFi represents the Laplacian of the i-th component Fi of F.

Gradient and Divergence:

The gradient and divergence is an operator applied to vector fields. It first computes the gradient (a vector) of the divergence (a scalar) of a vector field F.

Divergence (∇): ∇⋅F measures the flux of the vector field F from an infinitesimal volume around a specific point.

$$ ⛛ . F \;=\; \frac{\partial F_x}{\partial x} + \frac{\partial F_y}{\partial y} + \frac{\partial F_z}{\partial z} $$

Gradient (∇⋅∇): (∇.∇)F is applied to the divergence gives a vector field with its component as,

$$ (∇ ⋅ ∇) F \;=\; \left(\frac{\partial^2 F_x}{\partial x^2} + \frac{\partial^2 F_x}{\partial y^2} + \frac{\partial^2 F_x}{\partial z^2}, \frac{\partial^2 F_y}{\partial x^2} + \frac{\partial^2 F_y}{\partial y^2} + \frac{\partial^2 F_y}{\partial z^2}, \frac{\partial^2 F_z}{\partial x^2} + \frac{\partial^2 F_z}{\partial y^2} + \frac{\partial^2 F_z}{\partial z^2} \right) $$

Amanda Jepson

Last Updated February 21, 2024