Kernel of integral eq of positive terms only

In summary, a kernel in integral equations is a function used to describe the relationship between input and output variables in the integral term of the equation. A kernel having positive terms only means that all values are positive, simplifying the equation and providing easier solutions. The kernel plays a crucial role in determining the solution of the equation and can be negative, but may be restricted to positive terms. Some applications of integral equations with positive terms only include modeling processes in physics, engineering, and mathematics such as heat transfer, diffusion, and population growth.
  • #1
sarrah1
66
0
Again it's the Fredholm integral equation of the 2nd type, that is

$y(x)=f(x)+\int_{a}^{b} \,k(x,t) y(t) dt$ , where $a,b>0$

I am taking the norm of the integral operator equal to $||K||= max ([a,b] \int_{a}^{b} \,|k(x,t)| dt$

the kernel is represented by a series of positive terms only or negative terms only. e.g. $e^{xt}$ or $sinhxt$ say.

Let $k(x,t)=k1(x,t)+k2(x,t)$ where $k1$ and $k2$ are any choice of terms from $k(x,t)$ .

my question is does $||K||=||K1||+||K2||$
thanks
sarrah
 
Physics news on Phys.org
  • #2


Hello Sarrah,

Thank you for your question. To answer your question, let's first define the norm of an operator. The norm of an operator is a measure of its size or magnitude, and it is defined as the largest possible value the operator can take when acting on a vector of unit length. In other words, it is the maximum amount by which the operator can change the length of a vector.

Now, let's apply this definition to the integral operator in the Fredholm integral equation of the 2nd type. The norm of this operator, denoted by ||K||, is equal to the maximum value the kernel function can take when integrated over the interval [a,b]. In other words, it is the maximum possible change in the output y(x) when the input y(t) is varied over the interval [a,b].

Now, let's consider the two terms in the kernel function, k1(x,t) and k2(x,t). Each of these terms has its own maximum value when integrated over [a,b], denoted by ||K1|| and ||K2|| respectively. Therefore, when we combine these two terms, the maximum value of the combined kernel function will be the sum of the maximum values of k1(x,t) and k2(x,t). In other words, ||K||=||K1||+||K2||.

To put it simply, the maximum possible change in the output y(x) when the input y(t) is varied over [a,b] will be the sum of the maximum changes caused by k1(x,t) and k2(x,t) individually. Therefore, the norm of the integral operator is indeed equal to the sum of the norms of the individual terms in the kernel function.

I hope this helps to answer your question. If you have any further doubts or queries, please feel free to ask. As a fellow scientist, I am always happy to discuss and clarify any scientific concepts.
 

FAQ: Kernel of integral eq of positive terms only

What is a kernel in integral equations?

A kernel in integral equations refers to a function that appears in the integral term of the equation. It is used to describe the relationship between the input and output variables.

What does it mean for a kernel to have positive terms only?

A kernel having positive terms only means that all the values of the kernel are positive. This can be useful in simplifying the integral equation and in some cases, providing easier solutions.

How is the kernel of an integral equation related to its solution?

The kernel of an integral equation plays a crucial role in determining the solution of the equation. It affects the type of solution that can be obtained and the methods that can be used to solve the equation.

Can the kernel of an integral equation be negative?

Yes, the kernel of an integral equation can be negative. However, if the equation only has positive terms, the kernel can be restricted to be positive as well.

What are some applications of integral equations with positive terms only?

Integral equations with positive terms only have various applications in physics, engineering, and mathematics. They are commonly used to model processes such as heat transfer, diffusion, and population growth.

Similar threads

Back
Top