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Sachin Bhalekar

Publications and source records attributed to Sachin Bhalekar.

At least 19 recordsLinked to original sources

Stability Regions and Bifurcations for Higher-Order Fractional Difference Equations

We study stability regions for the higher-order, two-term fractional difference equation $Δ^αx(t) + a\,Δ^βx(t + α- β- 1) = (b - 1)x(t + α- 2)$, where $0 < β\leq 1 < α\leq 2$, $a > 0$, and $b \in \mathbb{C}$. The Z-transform yields a characteristic function whose image of the unit circle determines the stability boundary. Using a winding-number formulation, we give a necessary and sufficient root-count condition for asymptotic stability. Two analytically derived parameter values, $a_1 = 2^{α-β}$ and $a_2 = 2^{α-β}(4 - α)/(2 - β)$, characterize an endpoint collision and a loss of regularity of the boundary curve, respectively. The real-parameter case and a nonlinear higher-order logistic map are treated as consequences of the same stability criterion. We also analyze the one-term family $Δ^αx(t) = (c - 1)x(t + α- N)$ for $N - 1 < α\leq N$. A winding-number bound proves that its stability region is empty for every $N \geq 3$. Numerical experiments illustrate the theoretical results.

math.DS

Some stability results for a Fractional Differential Equation with two delays

We investigate a nonlinear scalar Caputo fractional delay differential equation with two discrete delays and a delay-dependent feedback coefficient. Under standard Lipschitz assumptions, existence and uniqueness of solutions are established through a fixed-point argument and a fractional Gronwall inequality. The trivial equilibrium is then studied by linearization and characteristic-root analysis. When the first delay is zero, explicit delay-independent stability and instability regions are obtained, together with critical-delay conditions that account for the varying coefficient. When both delays are retained, sufficient parameter conditions for delay-independent stability and instability are derived, and an explicit sufficient threshold for the existence of a positive real characteristic root is obtained. Possible Hopf boundaries are identified through purely imaginary roots and the associated transversality condition. The influence of the fractional order on the spectral conditions is highlighted, and the analytical results are illustrated by numerical simulations and stability diagrams.

math.DS

Analysis of Chaos and Bifurcation in Nonlinear two-delay differential equation

This paper studies how complicated and irregular behavior, known as chaos, can arise in a simple mathematical model that includes time delays. The model is a delay differential equation in which the present rate of change depends not only on the current state but also on past states at two different delay times. The system is described by \begin{equation} \dot{x}(t) = -γx(t) + g\big(x(t - τ_1)\big) - e^{-γτ_2}\, g\big(x(t - τ_1 - τ_2)\big), \end{equation} where $g(x)=k \sin{x}, \; k\in\mathbf{R}$. Here, the delays $τ_1$ and $τ_2$ represent memory effects in the system, while the sine terms introduce strong nonlinearity. Numerical simulations are used to study the system behavior for different parameter values. Chaotic motion is identified using Lyapunov exponents, Poincaré map, power sectrum analysis and phase portraits, which show irregular and unpredictable dynamics. For certain parameter ranges, the system exhibits multi-scroll chaotic attractors, in which the motion alternates among several complex patterns. The switching analysis and the parameter sensitivity analysis are provided to justify the rich dynamics. Finally, chaos is controlled by adding a simple linear feedback term, which suppresses irregular oscillations and stabilizes the system. In addition, synchronization between master and slave systems is investigated using linear state feedback control. The a delay-independent as well as a delay-dependent conditions for synchronization are derived and verified numerically. The results show that even complex delayed systems can be effectively controlled and synchronized using simple feedback techniques.

math.DS

Maps of q-deformed fractional order: From circle to cardioid via crescent

We introduce a class of \(q\)-deformed fractional order maps by replacing the classical binomial memory kernel in discrete fractional dynamics with Gaussian (\(q\)-) binomial coefficients. The proposed framework interpolates between memoryless discrete maps and classical fractional order maps, unifying circle- and cardioid-shaped stability regions through intermediate crescent geometries. Using the \(Z\)-transform and the \(q\)-binomial theorem, we derive characteristic equations and determine the associated stability regions in the complex plane. We further analyze the asymptotic behavior of the memory kernels, showing that the classical fractional kernel exhibits power-law decay, whereas the \(q\)- and \((p,q)\)-deformed kernels exhibit exponential-type localization. The theory is extended to nonlinear logistic-type maps and to a broader \((p,q)\)-deformed framework, where the regime \(p>q\) yields decaying memory kernels and stable dynamics. Numerical simulations illustrate the theoretical results and the interplay between the deformation parameters, memory effects, and stability geometry.

math.DS

Stability Analysis of Pantograph Delay Differential Equations

This article investigates the stability of pantograph delay differential equations, in which the delayed argument is proportional to the present time. We derive analytic criteria that partition the parameter plane into unstable, asymptotically stable, and delay-dependent stability regions. The theoretical results are supported by numerical simulations that illustrate the sharpness of the stability boundaries. We also formulate a proportional-delay analogue of the Mackey--Glass chaotic delay differential equation and examine the resulting dynamical behaviour.

math.DS

Stability and Bifurcation Analysis of Fractional Delay Differential Equation with a Delay-dependent Coefficient

This paper investigates the stability of different regions in the $(k,γ)$-plane for a class of fractional delay differential equations given by \begin{equation} D^α x(t) = -γx(t) + g\big(x(t - τ_1)\big) - e^{-γτ_2}\, g\big(x(t - τ_1 - τ_2)\big), \qquad 0 < α\le 1, \end{equation} where $k = g'(0)$. The primary focus is on the stability of the trivial equilibrium of the corresponding linearized system. A detailed stability and bifurcation analysis is carried out for the particular case $τ_1 = 0$ and $τ_2 \ge 0$. Furthermore, a general result is established for the case $τ_1 > 0$, $τ_2 \ge 0$, which holds for all values of $α$ and $τ_1$. In addition, illustrative examples are provided in the form of stability diagrams in the $(τ_1,τ_2)$-plane for fixed values of $α$, $k$, and $γ$. These diagrams are generated using appropriate numerical methods to visualize the stability regions and to support the theoretical results.

math.DS

Stability and Bifurcation Analysis of Two-term Fractional Difference Equation

We consider the linear equation including two fractional order difference operators, viz. $Δ^α$ and $Δ^β$, $0<β<α\leq 1$. The sequence representation will be provided to find the solution in an easier way. The Z-transform will be used to find the boundary of the stable region in the complex plane. If the coefficient of the operator $Δ^β$ is negative (near 0), then we observe that the boundary curve has multiple points generating multiple stability regions. We provide all possible bifurcations in terms of parameters. An ample number of examples will be provided to support the results.

math.DS

Solving Fredholm integro-differential equations using Hybrid and Block-Pulse functions

In this paper, hybrid and block-pulse functions are used to approximate the solution of a class of Fredholm integro-differential equations that was first studied by Hemeda. By employing suitable approximations, the equation has been converted into a system of algebraic equations that can be solved with classical methods. Finally, the method is explained with illustrative examples and results are compared to the results obtained by Hemeda's method to show the usefulness and efficiency of the block-pulse and hybrid functions approach.

math.FA

Analysis of the maps with variable fractional order

Fractional order differential and difference equations are used to model systems with memory. Variable order fractional equations are proposed to model systems where the memory changes in time. We investigate stability conditions for linear variable order difference equations where the order is periodic function with period $T$. We give a general procedure for arbitrary $T$ and for $T=2$ and $T=3$, we give exact results. For $T=2$, we find that the lower order determines the stability of the equations. For odd $T$, numerical simulations indicate that we can approximately determine the stability of equations from the mean value of the variables.

math.DS

Analysis of Stability, Bifurcation, and Chaos in Generalized Mackey-Glass Equations

Mackey-Glass equation arises in the leukemia model. We generalize this equation to include fractional-order derivatives in two directions. The first generalization contains one whereas the second contains two fractional derivatives. Such generalizations improve the model because the nonlocal operators viz. fractional derivatives are more suitable for the natural systems. We present the detailed stability and bifurcation analysis of the proposed models. We observe stable orbits, periodic oscillations, and chaos in these models. The parameter space is divided into a variety of regions, viz. stable region (delay independent), unstable region, single stable region, and stability/instability switch. Furthermore, we propose a control method for chaos in these general equations.

math.DS

Analysis of a Class of Two-delay Fractional Differential Equation

The differential equations involving two discrete delays are helpful in modeling two different processes in one model. We provide the stability and bifurcation analysis in the fractional order delay differential equation $D^αx(t)=a x(t)+b x(t-τ)-b x(t-2τ)$ in the $ab$-plane. Various regions of stability include stable (S), unstable (U), single stable region (SSR), and stability switch (SS). In the stable region, the system is stable for all the delay values. The region SSR has a critical value of delay that bifurcates the stable and unstable behavior. Switching of stable and unstable behaviors is observed in the SS region.

math.DS

Dynamical Analysis Of Fractional Order Generalized Logistic Map

In this work, we propose a generalization to the classical logistic map. The generalized map preserves most properties of the classical map and has richer dynamics as it contains the fractional order and one more parameter. We propose the stability bounds for each equilibrium point. The detailed bifurcation analysis with respect to both parameters is presented using the bifurcation diagrams in one and two dimensions. The chaos in this system is controlled using delayed feedback. We provide some non-linear feedback controllers to synchronize the system. The multistability in the proposed system is also discussed.

math.DS

Fractional Order Sunflower Equation: Stability, Bifurcation and Chaos

The sunflower equation describes the motion of the tip of a plant due to the auxin transportation under the influence of gravity. This work proposes the fractional-order generalization to this delay differential equation. The equation contains two fractional orders and infinitely many equilibrium points. The problem is important because the coefficients in the linearized equation near the equilibrium points are delay-dependent. We provide a detailed stability analysis of each equilibrium point using linearized stability. We find the boundary of the stable region by setting the purely imaginary value to the characteristic root. This gives the conditions for the existence of the critical values of the delay at which the stability properties change. We observed the following bifurcation phenomena: stable for all the delay values, a single stable region in the delayed interval, and a stability switch. We also observed a multi-scroll chaotic attractor for some values of the parameters.

math.DS

Stability and Bifurcation Analysis of Two-Term Fractional Differential Equation with Delay

This manuscript deals with the stability and bifurcation analysis of the equation $D^{2α}x(t)+c D^αx(t)=a x(t)+b x(t-τ)$, where $0<α<1$ and $τ>0$. We sketch the boundaries of various stability regions in the parameter plane under different conditions on $α$ and $b$. First, we provide the stability analysis of this equation with $τ=0$. Change in the stability of the delayed counterpart is possible only when the characteristic roots cross the imaginary axis. This leads to various delay-independent as well as delay-dependent stability results. The stability regions are bifurcated on the basis of the following behaviors with respect to the delay $τ$ viz. stable region for all $τ>0$, unstable region, single stable region, stability switch, and instability switch.

math.DS

Stability Analysis of Fractional Difference Equations with Delay

Long-term memory is a feature observed in systems ranging from neural networks to epidemiological models. The memory in such systems is usually modeled by the time delay. Furthermore, the nonlocal operators, such as the "fractional order difference" can also have a long-time memory. Therefore, the fractional difference equations with delay are an appropriate model in a range of systems. Even so, there are not many detailed studies available related to the stability analysis of fractional order systems with delay. In this work, we derive the stability conditions for linear fractional difference equations with a delay term $τ$. We have given detailed stability analysis for the cases $τ=1$ and $τ=2$. The results are extended to nonlinear maps.

math.DS

Fractional Order Periodic Maps: Stability Analysis and Application to the Periodic-2 Limit Cycles in the Nonlinear Systems

We consider the stability of periodic map with period-$2$ in linear fractional difference equations where the function is $f(x)=ax$ at even times and $f(x)=bx$ at odd times. The stability of such a map for an integer order map depends on product $ab$. The conditions are much complex for fractional maps and depend on $ab$ as well as $a+b$. There are no superstable period-2 orbits. These conditions are useful in obtaining stability conditions of asymptotically periodic orbits with period-$2$ in the nonlinear case. The stability conditions are demonstrated numerically. The formalism can be generalized to higher periods.

math.DS

Controlling Fractional Difference Equations Using Feedback

One of the most popular methods of controlling dynamical systems is feedback. It can be used without acquiring detailed knowledge of the underlying system. In this work, we study the stability of fractional-order linear difference equations under feedback. The stability results are derived for an arbitrary feedback time $τ$. We study the cases of $τ=1$ and $τ=2$ in further detail. The extension to the stability of fixed points under feedback for nonlinear fractional order difference equations with fixed points $ x_{*}=0$ is also carried out.

math.DS

Study of Low-dimensional Nonlinear Fractional Difference Equations of Complex Order

We study the fractional maps of complex order, $α_0e^{i r π/2}$ for $0<α_0<1$ and $0\le r<1$ in 1 and 2 dimensions. In two dimensions, we study H{é}non and Lozi map and in $1d$, we study logistic, tent, Gauss, circle, and Bernoulli maps. The generalization in $2d$ can be done in two different ways which are not equivalent for fractional-order and lead to different bifurcation diagrams. We observed that the smooth maps such as logistic, Gauss, and H{é}non maps do not show chaos while discontinuous maps such as Lozi, Bernoulli, and circle maps show chaos. The tent map is continuous but not differentiable and it shows chaos as well. In $2d$, we find that the complex fractional-order maps that show chaos also show multistability. Thus, it can be inferred that the smooth maps of complex fractional-order tend to show more regular behavior than the discontinuous or non-differentiable maps.

nlin.CD